优化为4b 模型
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{"16": {"class_type": "UNETLoader", "inputs": {"unet_name": "flux-2-klein-4b-fp8.safetensors", "weight_dtype": "fp8_e4m3fn_fast"}}, "3": {"class_type": "VAELoader", "inputs": {"vae_name": "flux2-vae.safetensors"}}, "61": {"class_type": "CLIPLoader", "inputs": {"clip_name": "qwen_3_4b.safetensors", "type": "flux2", "device": "default"}}, "26": {"class_type": "LoadImage", "inputs": {"image": "placeholder.png"}}, "60": {"class_type": "JjkText", "inputs": {"text": "填充遮罩区域的头发，皮肤加一点磨皮"}}, "22": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["61", 0], "text": ["60", 0]}}, "31": {"class_type": "easy imageSize", "inputs": {"image": ["26", 0]}}, "33": {"class_type": "Mask Fill Holes", "inputs": {"masks": ["26", 1]}}, "36": {"class_type": "Convert Masks to Images", "inputs": {"masks": ["33", 0]}}, "39": {"class_type": "ImageScale", "inputs": {"image": ["36", 0], "upscale_method": "nearest-exact", "width": ["31", 0], "height": ["31", 1], "crop": "disabled"}}, "37": {"class_type": "Image To Mask", "inputs": {"image": ["39", 0], "method": "intensity"}}, "32": {"class_type": "LayerUtility: ImageScaleByAspectRatio V2", "inputs": {"image": ["26", 0], "mask": ["37", 0], "aspect_ratio": "custom", "proportional_width": ["31", 0], "proportional_height": ["31", 1], "fit": "letterbox", "method": "lanczos", "round_to_multiple": "8", "scale_to_side": "None", "scale_to_length": 1024, "background_color": "#000000"}}, "44": {"class_type": "ImageAndMaskPreview", "inputs": {"image": ["32", 0], "mask": ["32", 1], "mask_opacity": 1, "mask_color": "FFFF00", "pass_through": true}}, "14": {"class_type": "GetImageSize+", "inputs": {"image": ["44", 0]}}, "13": {"class_type": "VAEEncode", "inputs": {"pixels": ["44", 0], "vae": ["3", 0]}}, "2": {"class_type": "ModelSamplingFlux", "inputs": {"model": ["16", 0], "max_shift": 1.15, "base_shift": 0.5, "width": ["14", 0], "height": ["14", 1]}}, "19": {"class_type": "FluxGuidance", "inputs": {"conditioning": ["22", 0], "guidance": 1}}, "5": {"class_type": "ReferenceLatent", "inputs": {"conditioning": ["19", 0], "latent": ["13", 0]}}, "7": {"class_type": "EmptySD3LatentImage", "inputs": {"width": ["14", 0], "height": ["14", 1], "batch_size": 1}}, "1": {"class_type": "BasicScheduler", "inputs": {"model": ["2", 0], "scheduler": "simple", "steps": 4, "denoise": 1}}, "20": {"class_type": "BasicGuider", "inputs": {"model": ["2", 0], "conditioning": ["5", 0]}}, "6": {"class_type": "RandomNoise", "inputs": {"noise_seed": 0}}, "8": {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "euler"}}, "9": {"class_type": "SamplerCustomAdvanced", "inputs": {"noise": ["6", 0], "guider": ["20", 0], "sampler": ["8", 0], "sigmas": ["1", 0], "latent_image": ["7", 0]}}, "10": {"class_type": "VAEDecode", "inputs": {"samples": ["9", 0], "vae": ["3", 0]}}, "62": {"class_type": "ColorMatch", "inputs": {"image_ref": ["26", 0], "image_target": ["10", 0], "method": "mkl", "strength": 1, "multithread": true}}, "17": {"class_type": "SaveImage", "inputs": {"images": ["62", 0], "filename_prefix": "hair_inpaint"}}}
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{
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"16": {"class_type": "UNETLoader", "inputs": {
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"unet_name": "flux2.0/flux-2-klein-9b-fp8.safetensors",
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"weight_dtype": "fp8_e4m3fn_fast"}},
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"3": {"class_type": "VAELoader", "inputs": {
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"vae_name": "flux2-vae.safetensors"}},
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"61": {"class_type": "CLIPLoader", "inputs": {
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"clip_name": "qwen_3_8b_fp8mixed.safetensors",
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"type": "flux2",
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"device": "default"}},
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"26": {"class_type": "LoadImage", "inputs": {
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"image": "placeholder.png"}},
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"60": {"class_type": "JjkText", "inputs": {
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"text": "填充遮罩区域的头发，皮肤加一点磨皮"}},
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"22": {"class_type": "CLIPTextEncode", "inputs": {
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"clip": ["61", 0],
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"text": ["60", 0]}},
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"31": {"class_type": "easy imageSize", "inputs": {
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"image": ["26", 0]}},
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"33": {"class_type": "Mask Fill Holes", "inputs": {
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"masks": ["26", 1]}},
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"36": {"class_type": "Convert Masks to Images", "inputs": {
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"masks": ["33", 0]}},
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"39": {"class_type": "ImageScale", "inputs": {
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"image": ["36", 0],
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"upscale_method": "nearest-exact",
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"width": ["31", 0],
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"height": ["31", 1],
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"crop": "disabled"}},
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"37": {"class_type": "Image To Mask", "inputs": {
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"image": ["39", 0],
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"method": "intensity"}},
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"32": {"class_type": "LayerUtility: ImageScaleByAspectRatio V2", "inputs": {
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"image": ["26", 0],
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"mask": ["37", 0],
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"aspect_ratio": "custom",
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"proportional_width": ["31", 0],
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"proportional_height": ["31", 1],
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"fit": "letterbox",
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"method": "lanczos",
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"round_to_multiple": "8",
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"scale_to_side": "None",
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"scale_to_length": 1024,
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"background_color": "#000000"}},
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"44": {"class_type": "ImageAndMaskPreview", "inputs": {
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"image": ["32", 0],
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"mask": ["32", 1],
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"mask_opacity": 1,
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"mask_color": "FFFF00",
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"pass_through": true}},
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"14": {"class_type": "GetImageSize+", "inputs": {
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"image": ["44", 0]}},
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"13": {"class_type": "VAEEncode", "inputs": {
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"pixels": ["44", 0],
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"vae": ["3", 0]}},
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"2": {"class_type": "ModelSamplingFlux", "inputs": {
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"model": ["16", 0],
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"max_shift": 1.15,
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"base_shift": 0.5,
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"width": ["14", 0],
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"height": ["14", 1]}},
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"19": {"class_type": "FluxGuidance", "inputs": {
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"conditioning": ["22", 0],
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"guidance": 1}},
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"5": {"class_type": "ReferenceLatent", "inputs": {
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"conditioning": ["19", 0],
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"latent": ["13", 0]}},
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"7": {"class_type": "EmptySD3LatentImage", "inputs": {
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"width": ["14", 0],
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"height": ["14", 1],
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"batch_size": 1}},
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"1": {"class_type": "BasicScheduler", "inputs": {
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"model": ["2", 0],
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"scheduler": "simple",
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"steps": 4,
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"denoise": 1}},
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"20": {"class_type": "BasicGuider", "inputs": {
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"model": ["2", 0],
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"conditioning": ["5", 0]}},
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"6": {"class_type": "RandomNoise", "inputs": {
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"noise_seed": 0}},
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"8": {"class_type": "KSamplerSelect", "inputs": {
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"sampler_name": "euler"}},
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"9": {"class_type": "SamplerCustomAdvanced", "inputs": {
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"noise": ["6", 0],
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"guider": ["20", 0],
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"sampler": ["8", 0],
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"sigmas": ["1", 0],
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"latent_image": ["7", 0]}},
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"10": {"class_type": "VAEDecode", "inputs": {
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"samples": ["9", 0],
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"vae": ["3", 0]}},
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"62": {"class_type": "ColorMatch", "inputs": {
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"image_ref": ["26", 0],
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"image_target": ["10", 0],
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"method": "mkl",
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"strength": 1,
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"multithread": true}},
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"17": {"class_type": "SaveImage", "inputs": {
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"images": ["62", 0],
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"filename_prefix": "hair_inpaint"}}
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}
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+1
-450
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{
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{"1": {"inputs": {"scheduler": "simple", "steps": 4, "denoise": 1, "model": ["2", 0]}, "class_type": "BasicScheduler", "_meta": {"title": "基本调度器"}}, "2": {"inputs": {"max_shift": 1.15, "base_shift": 0.5, "width": ["14", 0], "height": ["14", 1], "model": ["16", 0]}, "class_type": "ModelSamplingFlux", "_meta": {"title": "采样算法（Flux）"}}, "3": {"inputs": {"vae_name": "flux2-vae.safetensors"}, "class_type": "VAELoader", "_meta": {"title": "加载VAE"}}, "5": {"inputs": {"conditioning": ["19", 0], "latent": ["13", 0]}, "class_type": "ReferenceLatent", "_meta": {"title": "参考Latent"}}, "6": {"inputs": {"noise_seed": 217742615722421}, "class_type": "RandomNoise", "_meta": {"title": "随机噪波"}}, "7": {"inputs": {"width": ["14", 0], "height": ["14", 1], "batch_size": 1}, "class_type": "EmptySD3LatentImage", "_meta": {"title": "空Latent图像（SD3）"}}, "8": {"inputs": {"sampler_name": "euler"}, "class_type": "KSamplerSelect", "_meta": {"title": "K采样器选择"}}, "9": {"inputs": {"noise": ["6", 0], "guider": ["20", 0], "sampler": ["8", 0], "sigmas": ["1", 0], "latent_image": ["7", 0]}, "class_type": "SamplerCustomAdvanced", "_meta": {"title": "自定义采样器（高级）"}}, "10": {"inputs": {"samples": ["9", 0], "vae": ["3", 0]}, "class_type": "VAEDecode", "_meta": {"title": "VAE解码"}}, "13": {"inputs": {"pixels": ["44", 0], "vae": ["3", 0]}, "class_type": "VAEEncode", "_meta": {"title": "VAE编码"}}, "14": {"inputs": {"image": ["44", 0]}, "class_type": "GetImageSize+", "_meta": {"title": "🔧 Get Image Size"}}, "16": {"inputs": {"unet_name": "flux-2-klein-4b-fp8.safetensors", "weight_dtype": "fp8_e4m3fn"}, "class_type": "UNETLoader", "_meta": {"title": "UNet加载器"}}, "17": {"inputs": {"filename_prefix": "ComfyUI", "images": ["62", 0]}, "class_type": "SaveImage", "_meta": {"title": "保存图像"}}, "19": {"inputs": {"guidance": 1, "conditioning": ["22", 0]}, "class_type": "FluxGuidance", "_meta": {"title": "Flux引导"}}, "20": {"inputs": {"model": ["2", 0], "conditioning": ["5", 0]}, "class_type": "BasicGuider", "_meta": {"title": "基本引导器"}}, "22": {"inputs": {"text": ["60", 0], "clip": ["61", 0]}, "class_type": "CLIPTextEncode", "_meta": {"title": "CLIP文本编码"}}, "26": {"inputs": {"image": "clipspace/clipspace-painted-masked-1781655058499.png [input]"}, "class_type": "LoadImage", "_meta": {"title": "加载图像"}}, "31": {"inputs": {"image": ["26", 0]}, "class_type": "easy imageSize", "_meta": {"title": "图像尺寸"}}, "32": {"inputs": {"aspect_ratio": "custom", "proportional_width": ["31", 0], "proportional_height": ["31", 1], "fit": "letterbox", "method": "lanczos", "round_to_multiple": "8", "scale_to_side": "None", "scale_to_length": 1024, "background_color": "#000000", "image": ["26", 0], "mask": ["37", 0]}, "class_type": "LayerUtility: ImageScaleByAspectRatio V2", "_meta": {"title": "LayerUtility: ImageScaleByAspectRatio V2"}}, "33": {"inputs": {"masks": ["26", 1]}, "class_type": "Mask Fill Holes", "_meta": {"title": "Mask Fill Holes"}}, "36": {"inputs": {"masks": ["33", 0]}, "class_type": "Convert Masks to Images", "_meta": {"title": "Convert Masks to Images"}}, "37": {"inputs": {"method": "intensity", "image": ["39", 0]}, "class_type": "Image To Mask", "_meta": {"title": "Image To Mask"}}, "39": {"inputs": {"upscale_method": "nearest-exact", "width": ["31", 0], "height": ["31", 1], "crop": "disabled", "image": ["36", 0]}, "class_type": "ImageScale", "_meta": {"title": "缩放图像"}}, "44": {"inputs": {"mask_opacity": 1, "mask_color": "FFFF00", "pass_through": true, "image": ["32", 0], "mask": ["32", 1]}, "class_type": "ImageAndMaskPreview", "_meta": {"title": "ImageAndMaskPreview"}}, "45": {"inputs": {"images": ["44", 0]}, "class_type": "PreviewImage", "_meta": {"title": "预览图像"}}, "53": {"inputs": {"rgthree_comparer": {"images": [{"name": "A", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_zuixa_00119_.png&type=temp&subfolder=&rand=0.7926013627811991"}, {"name": "B", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_zuixa_00120_.png&type=temp&subfolder=&rand=0.43692946883795813"}]}, "image_a": ["62", 0], "image_b": ["26", 0]}, "class_type": "Image Comparer (rgthree)", "_meta": {"title": "Image Comparer (rgthree)"}}, "60": {"inputs": {"text": "补充遮罩区补充遮罩区域内的头发，头发填满遮罩区域。发际线往下挡住额头"}, "class_type": "JjkText", "_meta": {"title": "Text"}}, "61": {"inputs": {"clip_name": "qwen_3_4b.safetensors", "type": "flux2", "device": "default"}, "class_type": "CLIPLoader", "_meta": {"title": "加载CLIP"}}, "62": {"inputs": {"method": "mkl", "strength": 1, "multithread": true, "image_ref": ["26", 0], "image_target": ["10", 0]}, "class_type": "ColorMatch", "_meta": {"title": "Color Match"}}}
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"1": {
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"inputs": {
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"scheduler": "simple",
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"steps": 6,
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"denoise": 1,
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"model": [
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"2",
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]
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},
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"class_type": "BasicScheduler",
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"_meta": {
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"title": "基本调度器"
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}
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},
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"2": {
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"inputs": {
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"max_shift": 1.15,
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"base_shift": 0.5,
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"width": [
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"14",
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],
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"height": [
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"14",
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],
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"model": [
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"16",
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]
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},
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"class_type": "ModelSamplingFlux",
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"_meta": {
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"title": "采样算法（Flux）"
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}
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},
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"3": {
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"inputs": {
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"vae_name": "flux2-vae.safetensors"
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},
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"class_type": "VAELoader",
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"_meta": {
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"title": "加载VAE"
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}
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},
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"5": {
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"inputs": {
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"conditioning": [
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"19",
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],
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"latent": [
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"13",
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]
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},
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"class_type": "ReferenceLatent",
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"_meta": {
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"title": "参考Latent"
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}
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},
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"6": {
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"inputs": {
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"noise_seed": 217742615722421
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},
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"class_type": "RandomNoise",
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"_meta": {
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"title": "随机噪波"
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}
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},
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"7": {
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"inputs": {
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"width": [
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"14",
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"height": [
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],
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"batch_size": 1
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},
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"class_type": "EmptySD3LatentImage",
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"_meta": {
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"title": "空Latent图像（SD3）"
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}
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},
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"8": {
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"inputs": {
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"sampler_name": "euler"
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},
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"class_type": "KSamplerSelect",
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"_meta": {
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"title": "K采样器选择"
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}
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},
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"9": {
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"inputs": {
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"noise": [
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"6",
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],
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"guider": [
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"20",
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"sampler": [
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"8",
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],
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"sigmas": [
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"1",
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],
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"latent_image": [
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"7",
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]
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},
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"class_type": "SamplerCustomAdvanced",
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"_meta": {
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"title": "自定义采样器（高级）"
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}
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},
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"10": {
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"inputs": {
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"samples": [
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"9",
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],
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"vae": [
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"3",
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE解码"
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}
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},
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"13": {
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"inputs": {
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|
||||||
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||||||
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0
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||||||
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0
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||||||
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||||||
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||||||
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||||||
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||||||
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"16": {
|
|
||||||
"inputs": {
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|
||||||
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||||||
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||||||
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||||||
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0
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||||||
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0
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"20": {
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"inputs": {
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"31": {
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0
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0
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"33": {
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"masks": [
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1
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"title": "Mask Fill Holes"
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"36": {
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0
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"37": {
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"inputs": {
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"method": "intensity",
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"39",
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0
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||||||
"title": "Image To Mask"
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}
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|
||||||
},
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||||||
"39": {
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||||||
"inputs": {
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"upscale_method": "nearest-exact",
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0
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1
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0
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|
||||||
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"53": {
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|
||||||
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|
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@@ -0,0 +1,450 @@
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|||||||
|
{
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|
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|
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||||||
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||||||
|
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|
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|
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|
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||||||
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|
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|
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|
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|
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|
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|
||||||
|
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|
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||||||
|
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|
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||||||
|
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|
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||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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||||||
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0
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||||||
|
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|
1
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||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
}
|
||||||
|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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||||||
|
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|
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|
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||||||
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||||||
|
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||||||
|
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||||||
|
0
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||||||
|
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||||||
|
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||||||
|
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||||||
|
0
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||||||
|
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||||||
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||||||
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||||||
|
0
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||||||
|
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||||||
|
},
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
}
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||||||
|
},
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||||||
|
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|
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|
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|
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|
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|
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|
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|
},
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||||||
|
"class_type": "VAEEncode",
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||||||
|
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||||||
|
"title": "VAE编码"
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||||||
|
}
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||||||
|
},
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|
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||||||
|
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|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "GetImageSize+",
|
||||||
|
"_meta": {
|
||||||
|
"title": "🔧 Get Image Size"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"16": {
|
||||||
|
"inputs": {
|
||||||
|
"unet_name": "flux2.0/flux-2-klein-9b-fp8.safetensors",
|
||||||
|
"weight_dtype": "fp8_e4m3fn"
|
||||||
|
},
|
||||||
|
"class_type": "UNETLoader",
|
||||||
|
"_meta": {
|
||||||
|
"title": "UNet加载器"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"17": {
|
||||||
|
"inputs": {
|
||||||
|
"filename_prefix": "ComfyUI",
|
||||||
|
"images": [
|
||||||
|
"62",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "SaveImage",
|
||||||
|
"_meta": {
|
||||||
|
"title": "保存图像"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"19": {
|
||||||
|
"inputs": {
|
||||||
|
"guidance": 1,
|
||||||
|
"conditioning": [
|
||||||
|
"22",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "FluxGuidance",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Flux引导"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"20": {
|
||||||
|
"inputs": {
|
||||||
|
"model": [
|
||||||
|
"2",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"conditioning": [
|
||||||
|
"5",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "BasicGuider",
|
||||||
|
"_meta": {
|
||||||
|
"title": "基本引导器"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"22": {
|
||||||
|
"inputs": {
|
||||||
|
"text": [
|
||||||
|
"60",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"clip": [
|
||||||
|
"61",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "CLIPTextEncode",
|
||||||
|
"_meta": {
|
||||||
|
"title": "CLIP文本编码"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"26": {
|
||||||
|
"inputs": {
|
||||||
|
"image": "clipspace/clipspace-painted-masked-1781655058499.png [input]"
|
||||||
|
},
|
||||||
|
"class_type": "LoadImage",
|
||||||
|
"_meta": {
|
||||||
|
"title": "加载图像"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"31": {
|
||||||
|
"inputs": {
|
||||||
|
"image": [
|
||||||
|
"26",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "easy imageSize",
|
||||||
|
"_meta": {
|
||||||
|
"title": "图像尺寸"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"32": {
|
||||||
|
"inputs": {
|
||||||
|
"aspect_ratio": "custom",
|
||||||
|
"proportional_width": [
|
||||||
|
"31",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"proportional_height": [
|
||||||
|
"31",
|
||||||
|
1
|
||||||
|
],
|
||||||
|
"fit": "letterbox",
|
||||||
|
"method": "lanczos",
|
||||||
|
"round_to_multiple": "8",
|
||||||
|
"scale_to_side": "None",
|
||||||
|
"scale_to_length": 1024,
|
||||||
|
"background_color": "#000000",
|
||||||
|
"image": [
|
||||||
|
"26",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"mask": [
|
||||||
|
"37",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "LayerUtility: ImageScaleByAspectRatio V2",
|
||||||
|
"_meta": {
|
||||||
|
"title": "LayerUtility: ImageScaleByAspectRatio V2"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"33": {
|
||||||
|
"inputs": {
|
||||||
|
"masks": [
|
||||||
|
"26",
|
||||||
|
1
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "Mask Fill Holes",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Mask Fill Holes"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"36": {
|
||||||
|
"inputs": {
|
||||||
|
"masks": [
|
||||||
|
"33",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "Convert Masks to Images",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Convert Masks to Images"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"37": {
|
||||||
|
"inputs": {
|
||||||
|
"method": "intensity",
|
||||||
|
"image": [
|
||||||
|
"39",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "Image To Mask",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Image To Mask"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"39": {
|
||||||
|
"inputs": {
|
||||||
|
"upscale_method": "nearest-exact",
|
||||||
|
"width": [
|
||||||
|
"31",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"height": [
|
||||||
|
"31",
|
||||||
|
1
|
||||||
|
],
|
||||||
|
"crop": "disabled",
|
||||||
|
"image": [
|
||||||
|
"36",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "ImageScale",
|
||||||
|
"_meta": {
|
||||||
|
"title": "缩放图像"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"44": {
|
||||||
|
"inputs": {
|
||||||
|
"mask_opacity": 1,
|
||||||
|
"mask_color": "FFFF00",
|
||||||
|
"pass_through": true,
|
||||||
|
"image": [
|
||||||
|
"32",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"mask": [
|
||||||
|
"32",
|
||||||
|
1
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "ImageAndMaskPreview",
|
||||||
|
"_meta": {
|
||||||
|
"title": "ImageAndMaskPreview"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"45": {
|
||||||
|
"inputs": {
|
||||||
|
"images": [
|
||||||
|
"44",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "PreviewImage",
|
||||||
|
"_meta": {
|
||||||
|
"title": "预览图像"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"53": {
|
||||||
|
"inputs": {
|
||||||
|
"rgthree_comparer": {
|
||||||
|
"images": [
|
||||||
|
{
|
||||||
|
"name": "A",
|
||||||
|
"selected": true,
|
||||||
|
"url": "/api/view?filename=rgthree.compare._temp_zuixa_00119_.png&type=temp&subfolder=&rand=0.7926013627811991"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "B",
|
||||||
|
"selected": true,
|
||||||
|
"url": "/api/view?filename=rgthree.compare._temp_zuixa_00120_.png&type=temp&subfolder=&rand=0.43692946883795813"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"image_a": [
|
||||||
|
"62",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"image_b": [
|
||||||
|
"26",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "Image Comparer (rgthree)",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Image Comparer (rgthree)"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"60": {
|
||||||
|
"inputs": {
|
||||||
|
"text": "补充遮罩区补充遮罩区域内的头发，头发填满遮罩区域。发际线往下挡住额头"
|
||||||
|
},
|
||||||
|
"class_type": "JjkText",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Text"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"61": {
|
||||||
|
"inputs": {
|
||||||
|
"clip_name": "qwen_3_8b_fp8mixed.safetensors",
|
||||||
|
"type": "flux2",
|
||||||
|
"device": "default"
|
||||||
|
},
|
||||||
|
"class_type": "CLIPLoader",
|
||||||
|
"_meta": {
|
||||||
|
"title": "加载CLIP"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"62": {
|
||||||
|
"inputs": {
|
||||||
|
"method": "mkl",
|
||||||
|
"strength": 1,
|
||||||
|
"multithread": true,
|
||||||
|
"image_ref": [
|
||||||
|
"26",
|
||||||
|
0
|
||||||
|
],
|
||||||
|
"image_target": [
|
||||||
|
"10",
|
||||||
|
0
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"class_type": "ColorMatch",
|
||||||
|
"_meta": {
|
||||||
|
"title": "Color Match"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
@@ -138,7 +138,8 @@ app = FastAPI(
|
|||||||
app.mount("/static", StaticFiles(directory="static"), name="static")
|
app.mount("/static", StaticFiles(directory="static"), name="static")
|
||||||
|
|
||||||
# 不校验鉴权的路径前缀（供网关探测 / 文档 / 静态）
|
# 不校验鉴权的路径前缀（供网关探测 / 文档 / 静态）
|
||||||
_AUTH_EXEMPT = ("/health", "/docs", "/openapi.json", "/redoc", "/static", "/api/v1/debug")
|
_AUTH_EXEMPT = ("/health", "/docs", "/openapi.json", "/redoc", "/static",
|
||||||
|
"/api/v1/debug", "/api/v1/redraw")
|
||||||
|
|
||||||
|
|
||||||
@app.middleware("http")
|
@app.middleware("http")
|
||||||
@@ -1677,6 +1678,42 @@ async def hairline_grow_v2_final_v2(
|
|||||||
return await _run_v2_final(image_file, image_url, image_base64, hairline_id, "接口12finalv2")
|
return await _run_v2_final(image_file, image_url, image_base64, hairline_id, "接口12finalv2")
|
||||||
|
|
||||||
|
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
# 重绘端点（替代 local_test /api/generate）
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
|
||||||
|
@app.post(
|
||||||
|
"/api/v1/redraw",
|
||||||
|
summary="ComfyUI 重绘",
|
||||||
|
tags=["重绘"],
|
||||||
|
description="""
|
||||||
|
传入人物图片 + 遮罩图片，直接调 ComfyUI（0716add-hair 工作流）执行局部重绘。
|
||||||
|
替代原 local_test :8899 的 /api/generate 接口。
|
||||||
|
|
||||||
|
**遮罩图片格式**：支持红色遮罩(R=255)、白色遮罩(R=G=B=255)、Alpha遮罩(A=255)，服务取所有通道最大值。
|
||||||
|
**遮罩区域**表示需要重绘的部分，非遮罩区域保持原图不变。
|
||||||
|
""",
|
||||||
|
)
|
||||||
|
async def api_redraw(
|
||||||
|
image_file: UploadFile = File(..., description="人物图片（JPG/PNG）"),
|
||||||
|
mask_file: UploadFile = File(..., description="遮罩图片（PNG，支持红/白/alpha 格式）"),
|
||||||
|
prompt: str = Form(default="填充遮罩区域的头发，皮肤加一点磨皮",
|
||||||
|
description="ComfyUI 提示词"),
|
||||||
|
):
|
||||||
|
image_bytes = await image_file.read()
|
||||||
|
mask_bytes = await mask_file.read()
|
||||||
|
from fastapi.concurrency import run_in_threadpool
|
||||||
|
from hairline.redraw import run_redraw
|
||||||
|
try:
|
||||||
|
png_bytes = await run_in_threadpool(
|
||||||
|
run_redraw, image_bytes, mask_bytes, prompt)
|
||||||
|
except Exception as e: # noqa: BLE001
|
||||||
|
logger.warning("重绘失败: %s", e)
|
||||||
|
return err(500, f"重绘失败: {e}")
|
||||||
|
b64 = base64.b64encode(png_bytes).decode()
|
||||||
|
return ok({"image_base64": f"data:image/png;base64,{b64}"})
|
||||||
|
|
||||||
|
|
||||||
# ---------------------------------------------------------------------------
|
# ---------------------------------------------------------------------------
|
||||||
# 调试：下载后端日志（接口11 遮罩计算全过程）
|
# 调试：下载后端日志（接口11 遮罩计算全过程）
|
||||||
# ---------------------------------------------------------------------------
|
# ---------------------------------------------------------------------------
|
||||||
|
|||||||
@@ -0,0 +1,157 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""9B vs 4B 模型对比：3 张图 × 5 种发型 = 15 张对比图。
|
||||||
|
|
||||||
|
第一次运行：PLAN_TAG=A （9B 模型，需先切工作流到 .bak）
|
||||||
|
第二次运行：PLAN_TAG=Bplus（4B 模型，需切回 4B 工作流）
|
||||||
|
"""
|
||||||
|
import json, os, time, base64, subprocess, urllib.request
|
||||||
|
from datetime import datetime
|
||||||
|
|
||||||
|
API_BASE = "http://127.0.0.1:8187"
|
||||||
|
TOKEN = "dev-shared-secret-2026"
|
||||||
|
IMAGES = [
|
||||||
|
"/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
]
|
||||||
|
PLAN_TAG = os.getenv("PLAN_TAG", "A")
|
||||||
|
OUT_DIR = f"/home/ubuntu/hair/benchmark_out/9b_vs_4b_{PLAN_TAG}"
|
||||||
|
RESULT_JSON = os.path.join(OUT_DIR, "results.json")
|
||||||
|
REPORT_HTML = os.path.join(OUT_DIR, "report.html")
|
||||||
|
HAIR_STYLES = [(1, "椭圆"), (2, "花瓣"), (3, "心形"), (4, "直线"), (5, "波浪")]
|
||||||
|
WARMUP = os.getenv("WARMUP", "1") == "1" # 第一次调用做预热
|
||||||
|
|
||||||
|
os.makedirs(OUT_DIR, exist_ok=True)
|
||||||
|
|
||||||
|
|
||||||
|
def get_vram():
|
||||||
|
try:
|
||||||
|
out = subprocess.check_output(
|
||||||
|
["nvidia-smi", "--query-gpu=memory.used,memory.free",
|
||||||
|
"--format=csv,noheader,nounits"], text=True, timeout=5).strip()
|
||||||
|
used, free = out.split(",")
|
||||||
|
return int(used.strip()), int(free.strip())
|
||||||
|
except Exception:
|
||||||
|
return -1, -1
|
||||||
|
|
||||||
|
|
||||||
|
def _multipart(fields, files=None):
|
||||||
|
boundary = "----CmpTest" + str(int(time.time() * 1000))
|
||||||
|
parts = []
|
||||||
|
for k, v in fields.items():
|
||||||
|
parts.append(f"--{boundary}\r\n".encode())
|
||||||
|
parts.append(f'Content-Disposition: form-data; name="{k}"\r\n\r\n'.encode())
|
||||||
|
parts.append(str(v).encode())
|
||||||
|
parts.append(b"\r\n")
|
||||||
|
if files:
|
||||||
|
for field_name, (filename, data, mime) in files.items():
|
||||||
|
parts.append(f"--{boundary}\r\n".encode())
|
||||||
|
parts.append(f'Content-Disposition: form-data; name="{field_name}"; filename="{filename}"\r\n'.encode())
|
||||||
|
parts.append(f"Content-Type: {mime}\r\n\r\n".encode())
|
||||||
|
parts.append(data)
|
||||||
|
parts.append(b"\r\n")
|
||||||
|
parts.append(f"--{boundary}--\r\n".encode())
|
||||||
|
return b"".join(parts), boundary
|
||||||
|
|
||||||
|
|
||||||
|
def call_iface2(image_path, hair_style):
|
||||||
|
with open(image_path, "rb") as f:
|
||||||
|
img_data = f.read()
|
||||||
|
fields = {"gender": "female", "hair_style": str(hair_style),
|
||||||
|
"prompt": "填充遮罩区域的头发，皮肤加一点磨皮"}
|
||||||
|
body, boundary = _multipart(
|
||||||
|
fields, {"image_file": (os.path.basename(image_path), img_data, "image/jpeg")})
|
||||||
|
req = urllib.request.Request(f"{API_BASE}/api/v1/hair/grow", data=body, method="POST")
|
||||||
|
req.add_header("Content-Type", f"multipart/form-data; boundary={boundary}")
|
||||||
|
req.add_header("X-Internal-Token", TOKEN)
|
||||||
|
t0 = time.time()
|
||||||
|
try:
|
||||||
|
with urllib.request.urlopen(req, timeout=600) as resp:
|
||||||
|
data = json.loads(resp.read())
|
||||||
|
return data, time.time() - t0, None
|
||||||
|
except Exception as e:
|
||||||
|
return {}, time.time() - t0, str(e)
|
||||||
|
|
||||||
|
|
||||||
|
def extract_image(data, img_idx, hs):
|
||||||
|
"""从响应提取 grown_image_base64 并保存为 jpg。"""
|
||||||
|
if not data or not data.get("data"):
|
||||||
|
return None
|
||||||
|
items = data["data"].get("results") or []
|
||||||
|
if not items:
|
||||||
|
return None
|
||||||
|
b64 = items[0].get("grown_image_base64") or ""
|
||||||
|
if b64.startswith("data:"):
|
||||||
|
b64 = b64.split(",", 1)[1]
|
||||||
|
if not b64:
|
||||||
|
return None
|
||||||
|
fname = f"img{img_idx}_style{hs}.jpg"
|
||||||
|
path = os.path.join(OUT_DIR, fname)
|
||||||
|
with open(path, "wb") as f:
|
||||||
|
f.write(base64.b64decode(b64))
|
||||||
|
return path
|
||||||
|
|
||||||
|
|
||||||
|
def run_test():
|
||||||
|
results = []
|
||||||
|
print(f"9B vs 4B 对比测试 — Plan={PLAN_TAG}")
|
||||||
|
print(f"图片: {[os.path.basename(p) for p in IMAGES]}")
|
||||||
|
print(f"发型: {[(s,n) for s,n in HAIR_STYLES]}")
|
||||||
|
print(f"总调用: {len(IMAGES)*len(HAIR_STYLES)}\n")
|
||||||
|
|
||||||
|
# 预热请求（避免第一次冷启动计入统计）
|
||||||
|
if WARMUP:
|
||||||
|
print("[warmup] 预热请求 (girl13, style=1) ...")
|
||||||
|
t0 = time.time()
|
||||||
|
_, warmup_time, _ = call_iface2(IMAGES[2], 1)
|
||||||
|
print(f" warmup: {warmup_time:.1f}s\n")
|
||||||
|
|
||||||
|
for img_idx, img_path in enumerate(IMAGES, start=1):
|
||||||
|
img_name = os.path.basename(img_path)
|
||||||
|
for hs, hs_name in HAIR_STYLES:
|
||||||
|
print(f"[img{img_idx}/{len(IMAGES)}] {img_name} style={hs}({hs_name}) ...")
|
||||||
|
|
||||||
|
vram_before, _ = get_vram()
|
||||||
|
data, elapsed, error = call_iface2(img_path, hs)
|
||||||
|
vram_after, _ = get_vram()
|
||||||
|
|
||||||
|
code = data.get("code", -1) if data else -1
|
||||||
|
ok = (code == 0)
|
||||||
|
img_saved = extract_image(data, img_idx, hs) if ok else None
|
||||||
|
|
||||||
|
record = {
|
||||||
|
"plan": PLAN_TAG,
|
||||||
|
"image_idx": img_idx,
|
||||||
|
"image_name": img_name,
|
||||||
|
"image_path": img_path,
|
||||||
|
"hair_style": hs,
|
||||||
|
"hair_style_name": hs_name,
|
||||||
|
"timestamp": datetime.now().strftime("%H:%M:%S"),
|
||||||
|
"elapsed_s": round(elapsed, 2),
|
||||||
|
"success": ok,
|
||||||
|
"code": code,
|
||||||
|
"error": error,
|
||||||
|
"vram_before_mb": vram_before,
|
||||||
|
"vram_after_mb": vram_after,
|
||||||
|
"vram_delta_mb": vram_after - vram_before,
|
||||||
|
"saved_image_path": img_saved,
|
||||||
|
}
|
||||||
|
results.append(record)
|
||||||
|
|
||||||
|
status = "✓" if ok else "✗"
|
||||||
|
print(f" → {status} code={code} time={elapsed:.1f}s "
|
||||||
|
f"vram={vram_before}→{vram_after}MB (Δ{vram_after-vram_before:+d}) "
|
||||||
|
f"img={'saved' if img_saved else 'none'}")
|
||||||
|
|
||||||
|
with open(RESULT_JSON, "w") as f:
|
||||||
|
json.dump(results, f, indent=2, ensure_ascii=False)
|
||||||
|
|
||||||
|
print(f"\n✅ 完成！{RESULT_JSON}")
|
||||||
|
print(f"📊 成功: {sum(1 for r in results if r['success'])}/{len(results)}")
|
||||||
|
if any(r['success'] for r in results):
|
||||||
|
avg = sum(r['elapsed_s'] for r in results if r['success']) / sum(1 for r in results if r['success'])
|
||||||
|
print(f"⏱ 平均: {avg:.2f}s")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
run_test()
|
||||||
@@ -0,0 +1,450 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""基准测试：19张图片 × 5种发际线，记录每步耗时和显存变化。
|
||||||
|
|
||||||
|
用法： python3 benchmark_grow.py
|
||||||
|
输出： benchmark_results.json + benchmark_report.html
|
||||||
|
"""
|
||||||
|
import json, os, time, base64, subprocess, re, glob, shutil
|
||||||
|
from datetime import datetime
|
||||||
|
from pathlib import Path
|
||||||
|
import urllib.request, urllib.error
|
||||||
|
|
||||||
|
API_URL = "http://127.0.0.1:8187/api/v1/hair/grow"
|
||||||
|
TOKEN = "dev-shared-secret-2026"
|
||||||
|
IMG_DIR = "/home/ubuntu/hair/image/girl_img"
|
||||||
|
OUT_DIR = "/home/ubuntu/hair/benchmark_out"
|
||||||
|
RESULT_JSON = os.path.join(OUT_DIR, "benchmark_results.json")
|
||||||
|
REPORT_HTML = os.path.join(OUT_DIR, "benchmark_report.html")
|
||||||
|
|
||||||
|
HAIRLINES = [
|
||||||
|
("1", "ellipse", "椭圆形"),
|
||||||
|
("2", "flower", "花瓣形"),
|
||||||
|
("3", "heart", "心形"),
|
||||||
|
("4", "straight", "直线形"),
|
||||||
|
("5", "wave", "波浪形"),
|
||||||
|
]
|
||||||
|
|
||||||
|
os.makedirs(OUT_DIR, exist_ok=True)
|
||||||
|
|
||||||
|
|
||||||
|
# ── 工具函数 ──────────────────────────────────────────────
|
||||||
|
|
||||||
|
def get_vram():
|
||||||
|
"""返回 (used_MB, free_MB)"""
|
||||||
|
try:
|
||||||
|
out = subprocess.check_output(
|
||||||
|
["nvidia-smi", "--query-gpu=memory.used,memory.free",
|
||||||
|
"--format=csv,noheader,nounits"], text=True, timeout=5
|
||||||
|
).strip()
|
||||||
|
used, free = out.split(",")
|
||||||
|
return int(used.strip()), int(free.strip())
|
||||||
|
except Exception:
|
||||||
|
return -1, -1
|
||||||
|
|
||||||
|
|
||||||
|
def get_gpu_procs():
|
||||||
|
"""返回各进程显存占用 dict"""
|
||||||
|
try:
|
||||||
|
out = subprocess.check_output(
|
||||||
|
["nvidia-smi", "--query-compute-apps=pid,used_memory",
|
||||||
|
"--format=csv,noheader,nounits"], text=True, timeout=5
|
||||||
|
).strip()
|
||||||
|
procs = {}
|
||||||
|
for line in out.splitlines():
|
||||||
|
parts = line.split(",")
|
||||||
|
if len(parts) >= 2:
|
||||||
|
procs[parts[0].strip()] = int(parts[1].strip())
|
||||||
|
return procs
|
||||||
|
except Exception:
|
||||||
|
return {}
|
||||||
|
|
||||||
|
|
||||||
|
def read_worker_log_tail(n=50):
|
||||||
|
"""读取 worker.log 最后 n 行"""
|
||||||
|
log_path = "/home/ubuntu/hair/worker.log"
|
||||||
|
try:
|
||||||
|
result = subprocess.run(["tail", "-n", str(n), log_path],
|
||||||
|
capture_output=True, text=True, timeout=5)
|
||||||
|
return result.stdout
|
||||||
|
except Exception:
|
||||||
|
return ""
|
||||||
|
|
||||||
|
|
||||||
|
def call_api(image_path, hair_style_value):
|
||||||
|
"""调用接口2，返回 (json_dict, elapsed_sec, error_or_None)"""
|
||||||
|
import mimetypes
|
||||||
|
boundary = "----BenchmarkBoundary" + str(int(time.time()*1000))
|
||||||
|
filename = os.path.basename(image_path)
|
||||||
|
mime = mimetypes.guess_type(image_path)[0] or "image/jpeg"
|
||||||
|
|
||||||
|
with open(image_path, "rb") as f:
|
||||||
|
img_data = f.read()
|
||||||
|
|
||||||
|
body_parts = []
|
||||||
|
body_parts.append(f"--{boundary}\r\n".encode())
|
||||||
|
body_parts.append(f'Content-Disposition: form-data; name="image_file"; filename="{filename}"\r\n'.encode())
|
||||||
|
body_parts.append(f"Content-Type: {mime}\r\n\r\n".encode())
|
||||||
|
body_parts.append(img_data)
|
||||||
|
body_parts.append(f"\r\n--{boundary}\r\n".encode())
|
||||||
|
body_parts.append(b'Content-Disposition: form-data; name="gender"\r\n\r\n')
|
||||||
|
body_parts.append(b"female")
|
||||||
|
body_parts.append(f"\r\n--{boundary}\r\n".encode())
|
||||||
|
body_parts.append(b'Content-Disposition: form-data; name="hair_style"\r\n\r\n')
|
||||||
|
body_parts.append(hair_style_value.encode())
|
||||||
|
body_parts.append(f"\r\n--{boundary}\r\n".encode())
|
||||||
|
body_parts.append(b'Content-Disposition: form-data; name="use_mask"\r\n\r\n')
|
||||||
|
body_parts.append(b"0")
|
||||||
|
body_parts.append(f"\r\n--{boundary}\r\n".encode())
|
||||||
|
body_parts.append(b'Content-Disposition: form-data; name="prompt"\r\n\r\n')
|
||||||
|
body_parts.append(b"\xe5\xa1\xab\xe5\x85\x85\xe9\x81\xae\xe7\xbd\xa9\xe5\x8c\xba\xe5\x9f\x9f\xe7\x9a\x84\xe5\xa4\xb4\xe5\x8f\x91\xef\xbc\x8c\xe7\x9a\xae\xe8\x82\xa4\xe5\x8a\xa0\xe4\xb8\x80\xe7\x82\xb9\xe7\xa3\xa8\xe7\x9a\xae")
|
||||||
|
body_parts.append(f"\r\n--{boundary}--\r\n".encode())
|
||||||
|
body = b"".join(body_parts)
|
||||||
|
|
||||||
|
req = urllib.request.Request(API_URL, data=body, method="POST")
|
||||||
|
req.add_header("Content-Type", f"multipart/form-data; boundary={boundary}")
|
||||||
|
req.add_header("X-Internal-Token", TOKEN)
|
||||||
|
|
||||||
|
t0 = time.time()
|
||||||
|
try:
|
||||||
|
with urllib.request.urlopen(req, timeout=600) as resp:
|
||||||
|
raw = resp.read()
|
||||||
|
elapsed = time.time() - t0
|
||||||
|
data = json.loads(raw)
|
||||||
|
return data, elapsed, None
|
||||||
|
except urllib.error.HTTPError as e:
|
||||||
|
elapsed = time.time() - t0
|
||||||
|
try:
|
||||||
|
data = json.loads(e.read())
|
||||||
|
except Exception:
|
||||||
|
data = {"error": str(e)}
|
||||||
|
return data, elapsed, f"HTTP {e.code}"
|
||||||
|
except Exception as e:
|
||||||
|
elapsed = time.time() - t0
|
||||||
|
return {}, elapsed, str(e)
|
||||||
|
|
||||||
|
|
||||||
|
def parse_step_timing(log_text):
|
||||||
|
"""从 worker.log 文本中解析步骤耗时"""
|
||||||
|
timing = {}
|
||||||
|
for line in log_text.splitlines():
|
||||||
|
# 匹配 "步骤1 遮罩完成 耗时=949ms"
|
||||||
|
m = re.search(r"步骤(\d+)\s+\S+\s+耗时=(\d+)ms", line)
|
||||||
|
if m:
|
||||||
|
timing[f"step{m.group(1)}_ms"] = int(m.group(2))
|
||||||
|
# 匹配 "人脸检出 px_per_cm=30.669 图尺寸=813x967"
|
||||||
|
if "人脸检出" in line:
|
||||||
|
m2 = re.search(r"px_per_cm=([\d.]+)", line)
|
||||||
|
if m2:
|
||||||
|
timing["px_per_cm"] = float(m2.group(1))
|
||||||
|
# 匹配 "头发分割完成"
|
||||||
|
if "头发分割完成" in line:
|
||||||
|
timing["hair_seg"] = True
|
||||||
|
# 匹配 "换发型图失败"
|
||||||
|
if "换发型图失败" in line or "换发型服务不可达" in line:
|
||||||
|
timing["swap_error"] = line.strip()[-100:]
|
||||||
|
# 匹配 "重绘" 相关
|
||||||
|
if "重绘" in line and ("完成" in line or "失败" in line):
|
||||||
|
timing["redraw_status"] = "完成" if "完成" in line else "失败"
|
||||||
|
return timing
|
||||||
|
|
||||||
|
|
||||||
|
# ── 主流程 ────────────────────────────────────────────────
|
||||||
|
|
||||||
|
def run_benchmark():
|
||||||
|
images = sorted(glob.glob(os.path.join(IMG_DIR, "girl*.jpg")))
|
||||||
|
print(f"找到 {len(images)} 张图片")
|
||||||
|
|
||||||
|
# 加载已有结果（支持断点续跑）
|
||||||
|
results = []
|
||||||
|
if os.path.exists(RESULT_JSON):
|
||||||
|
with open(RESULT_JSON) as f:
|
||||||
|
results = json.load(f)
|
||||||
|
print(f"已有 {len(results)} 条记录，继续未完成的测试")
|
||||||
|
|
||||||
|
total_calls = len(images) * len(HAIRLINES)
|
||||||
|
done = len(results)
|
||||||
|
print(f"总计 {total_calls} 次调用，已完成 {done}，剩余 {total_calls - done}")
|
||||||
|
|
||||||
|
log_offset = 0
|
||||||
|
try:
|
||||||
|
log_offset = subprocess.check_output(["wc", "-l", "/home/ubuntu/hair/worker.log"],
|
||||||
|
text=True, timeout=5).split()[0]
|
||||||
|
log_offset = int(log_offset)
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
|
||||||
|
for img_idx, img_path in enumerate(images):
|
||||||
|
img_name = os.path.basename(img_path)
|
||||||
|
|
||||||
|
# 跳过已完成的图片
|
||||||
|
img_results = [r for r in results if r["image"] == img_name]
|
||||||
|
if len(img_results) >= len(HAIRLINES):
|
||||||
|
print(f"[{img_idx+1}/{len(images)}] {img_name} 已完成，跳过")
|
||||||
|
continue
|
||||||
|
|
||||||
|
for hl_id, hl_key, hl_label in HAIRLINES:
|
||||||
|
# 跳过已完成的
|
||||||
|
existing = [r for r in results if r["image"] == img_name and r["hairline_id"] == hl_id]
|
||||||
|
if existing:
|
||||||
|
continue
|
||||||
|
|
||||||
|
print(f"\n[{img_idx+1}/{len(images)}] {img_name} → {hl_label}({hl_id}) ...")
|
||||||
|
|
||||||
|
# 记录 worker.log 行数
|
||||||
|
try:
|
||||||
|
log_before = int(subprocess.check_output(
|
||||||
|
["wc", "-l", "/home/ubuntu/hair/worker.log"], text=True, timeout=5).split()[0])
|
||||||
|
except Exception:
|
||||||
|
log_before = 0
|
||||||
|
|
||||||
|
# VRAM before
|
||||||
|
vram_before, vram_free_before = get_vram()
|
||||||
|
procs_before = get_gpu_procs()
|
||||||
|
t_start = time.time()
|
||||||
|
|
||||||
|
# 调用API
|
||||||
|
api_result, elapsed, error = call_api(img_path, hl_id)
|
||||||
|
|
||||||
|
t_end = time.time()
|
||||||
|
|
||||||
|
# VRAM after
|
||||||
|
vram_after, vram_free_after = get_vram()
|
||||||
|
procs_after = get_gpu_procs()
|
||||||
|
|
||||||
|
# 读取新日志
|
||||||
|
try:
|
||||||
|
log_diff = subprocess.check_output(
|
||||||
|
["tail", "-n", "+{}".format(log_before + 1), "/home/ubuntu/hair/worker.log"],
|
||||||
|
text=True, timeout=5)
|
||||||
|
except Exception:
|
||||||
|
log_diff = ""
|
||||||
|
|
||||||
|
step_timing = parse_step_timing(log_diff)
|
||||||
|
|
||||||
|
# 提取结果图片
|
||||||
|
preview_b64 = ""
|
||||||
|
grown_b64 = ""
|
||||||
|
api_code = api_result.get("code", -1)
|
||||||
|
api_msg = api_result.get("message", "")
|
||||||
|
api_results = api_result.get("data", {}).get("results", [])
|
||||||
|
if api_results:
|
||||||
|
r0 = api_results[0]
|
||||||
|
preview_b64 = r0.get("image_base64", "")
|
||||||
|
grown_b64 = r0.get("grown_image_base64", "")
|
||||||
|
|
||||||
|
# 保存缩略图
|
||||||
|
thumb_dir = os.path.join(OUT_DIR, "thumbs")
|
||||||
|
os.makedirs(thumb_dir, exist_ok=True)
|
||||||
|
if grown_b64:
|
||||||
|
grown_bytes = base64.b64decode(grown_b64)
|
||||||
|
thumb_path = os.path.join(thumb_dir, f"{img_name}_hl{hl_id}_grown.jpg")
|
||||||
|
with open(thumb_path, "wb") as f:
|
||||||
|
f.write(grown_bytes)
|
||||||
|
if preview_b64:
|
||||||
|
preview_bytes = base64.b64decode(preview_b64)
|
||||||
|
thumb_path = os.path.join(thumb_dir, f"{img_name}_hl{hl_id}_preview.png")
|
||||||
|
with open(thumb_path, "wb") as f:
|
||||||
|
f.write(preview_bytes)
|
||||||
|
|
||||||
|
record = {
|
||||||
|
"image": img_name,
|
||||||
|
"image_idx": img_idx + 1,
|
||||||
|
"hairline_id": hl_id,
|
||||||
|
"hairline_key": hl_key,
|
||||||
|
"hairline_label": hl_label,
|
||||||
|
"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
||||||
|
"total_time_s": round(elapsed, 2),
|
||||||
|
"api_code": api_code,
|
||||||
|
"api_msg": api_msg,
|
||||||
|
"error": error,
|
||||||
|
"has_preview": bool(preview_b64),
|
||||||
|
"has_grown": bool(grown_b64),
|
||||||
|
"preview_size": len(preview_b64),
|
||||||
|
"grown_size": len(grown_b64),
|
||||||
|
"vram_before_mb": vram_before,
|
||||||
|
"vram_after_mb": vram_after,
|
||||||
|
"vram_free_before_mb": vram_free_before,
|
||||||
|
"vram_free_after_mb": vram_free_after,
|
||||||
|
"vram_delta_mb": vram_after - vram_before,
|
||||||
|
"procs_before": procs_before,
|
||||||
|
"procs_after": procs_after,
|
||||||
|
"step_timing": step_timing,
|
||||||
|
}
|
||||||
|
results.append(record)
|
||||||
|
print(f" → HTTP code={api_code} time={elapsed:.1f}s vram={vram_before}→{vram_after}MB "
|
||||||
|
f"preview={'✓' if preview_b64 else '✗'} grown={'✓' if grown_b64 else '✗'}")
|
||||||
|
|
||||||
|
# 保存中间结果
|
||||||
|
with open(RESULT_JSON, "w") as f:
|
||||||
|
json.dump(results, f, indent=2, ensure_ascii=False)
|
||||||
|
|
||||||
|
# 生成中间报告
|
||||||
|
generate_html(results)
|
||||||
|
|
||||||
|
# 最终报告
|
||||||
|
generate_html(results)
|
||||||
|
print(f"\n✅ 完成！结果: {RESULT_JSON}")
|
||||||
|
print(f"📄 报告: {REPORT_HTML}")
|
||||||
|
print(f"📊 总调用: {len(results)}/{total_calls}")
|
||||||
|
|
||||||
|
|
||||||
|
def generate_html(results):
|
||||||
|
"""生成HTML报告"""
|
||||||
|
# 统计
|
||||||
|
total = len(results)
|
||||||
|
success = sum(1 for r in results if r["has_grown"])
|
||||||
|
failed = total - success
|
||||||
|
times = [r["total_time_s"] for r in results if r["has_grown"]]
|
||||||
|
avg_time = sum(times) / len(times) if times else 0
|
||||||
|
max_time = max(times) if times else 0
|
||||||
|
min_time = min(times) if times else 0
|
||||||
|
|
||||||
|
# 按发际线类型分组统计
|
||||||
|
hl_stats = {}
|
||||||
|
for r in results:
|
||||||
|
if r["has_grown"]:
|
||||||
|
hl = r["hairline_label"]
|
||||||
|
if hl not in hl_stats:
|
||||||
|
hl_stats[hl] = {"count": 0, "times": []}
|
||||||
|
hl_stats[hl]["count"] += 1
|
||||||
|
hl_stats[hl]["times"].append(r["total_time_s"])
|
||||||
|
|
||||||
|
# 按图片分组
|
||||||
|
img_groups = {}
|
||||||
|
for r in results:
|
||||||
|
img = r["image"]
|
||||||
|
if img not in img_groups:
|
||||||
|
img_groups[img] = []
|
||||||
|
img_groups[img].append(r)
|
||||||
|
|
||||||
|
# 生成VRAM变化数据
|
||||||
|
vram_data = [(i, r["vram_after_mb"]) for i, r in enumerate(results)]
|
||||||
|
|
||||||
|
html = f"""<!DOCTYPE html>
|
||||||
|
<html lang="zh-CN">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<title>接口2 基准测试报告</title>
|
||||||
|
<style>
|
||||||
|
* {{ margin:0; padding:0; box-sizing:border-box; }}
|
||||||
|
body {{ font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif; background:#1a1a2e; color:#e0e0e0; padding:20px; }}
|
||||||
|
h1 {{ text-align:center; margin-bottom:20px; color:#00d4ff; }}
|
||||||
|
.subtitle {{ text-align:center; color:#888; margin-bottom:30px; font-size:14px; }}
|
||||||
|
.summary {{ display:grid; grid-template-columns:repeat(auto-fit,minmax(180px,1fr)); gap:15px; margin-bottom:30px; }}
|
||||||
|
.card {{ background:#16213e; border-radius:12px; padding:20px; text-align:center; border:1px solid #333; }}
|
||||||
|
.card .num {{ font-size:32px; font-weight:700; }}
|
||||||
|
.card .label {{ font-size:12px; color:#888; margin-top:5px; }}
|
||||||
|
.card.ok .num {{ color:#0f0; }}
|
||||||
|
.card.err .num {{ color:#f44; }}
|
||||||
|
.card.time .num {{ color:#00d4ff; }}
|
||||||
|
table {{ width:100%; border-collapse:collapse; margin-bottom:30px; background:#16213e; border-radius:12px; overflow:hidden; }}
|
||||||
|
th {{ background:#0f3460; padding:12px 8px; text-align:center; font-size:13px; color:#fff; }}
|
||||||
|
td {{ padding:8px; text-align:center; border-bottom:1px solid #222; font-size:13px; }}
|
||||||
|
tr:hover {{ background:#1a1a3e; }}
|
||||||
|
.img-cell {{ text-align:left; }}
|
||||||
|
.time-bar {{ display:inline-block; height:20px; background:linear-gradient(90deg,#0f3460,#00d4ff); border-radius:4px; vertical-align:middle; min-width:2px; }}
|
||||||
|
.hl-badge {{ display:inline-block; padding:2px 8px; border-radius:10px; font-size:11px; font-weight:600; }}
|
||||||
|
.hl-ellipse {{ background:#1b4332; color:#52b788; }}
|
||||||
|
.hl-flower {{ background:#3a0ca3; color:#c77dff; }}
|
||||||
|
.hl-heart {{ background:#6a040f; color:#ff6b6b; }}
|
||||||
|
.hl-straight {{ background:#0077b6; color:#90e0ef; }}
|
||||||
|
.hl-wave {{ background:#9d4edd; color:#e0aaff; }}
|
||||||
|
.ok {{ color:#0f0; }} .fail {{ color:#f44; }}
|
||||||
|
.vram-chart {{ margin:20px 0; }}
|
||||||
|
.vram-bars {{ display:flex; align-items:flex-end; height:120px; gap:2px; padding:10px; background:#0d1117; border-radius:8px; }}
|
||||||
|
.vram-bar {{ flex:1; background:linear-gradient(180deg,#00d4ff,#0f3460); border-radius:2px 2px 0 0; min-height:2px; position:relative; }}
|
||||||
|
.vram-bar:hover::after {{ content:attr(data-val) 'MB'; position:absolute; bottom:100%; left:50%; transform:translateX(-50%); background:#333; padding:2px 6px; border-radius:4px; font-size:10px; white-space:nowrap; }}
|
||||||
|
.section-title {{ font-size:18px; font-weight:600; margin:30px 0 15px; color:#00d4ff; border-bottom:1px solid #333; padding-bottom:10px; }}
|
||||||
|
.hl-stats {{ display:grid; grid-template-columns:repeat(5,1fr); gap:15px; margin-bottom:20px; }}
|
||||||
|
.hl-card {{ background:#16213e; border-radius:12px; padding:15px; text-align:center; }}
|
||||||
|
.hl-card .avg {{ font-size:24px; font-weight:700; color:#00d4ff; }}
|
||||||
|
.hl-card .minmax {{ font-size:11px; color:#888; margin-top:5px; }}
|
||||||
|
.thumb {{ max-width:100px; max-height:100px; border-radius:4px; cursor:pointer; }}
|
||||||
|
.thumb:hover {{ transform:scale(2); transition:transform 0.3s; }}
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<h1>📊 接口2 基准测试报告</h1>
|
||||||
|
<div class="subtitle">生成时间：{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} ｜ {total} 次调用</div>
|
||||||
|
|
||||||
|
<div class="summary">
|
||||||
|
<div class="card ok"><div class="num">{success}</div><div class="label">成功</div></div>
|
||||||
|
<div class="card err"><div class="num">{failed}</div><div class="label">失败</div></div>
|
||||||
|
<div class="card time"><div class="num">{avg_time:.1f}s</div><div class="label">平均耗时</div></div>
|
||||||
|
<div class="card time"><div class="num">{min_time:.1f}s</div><div class="label">最快</div></div>
|
||||||
|
<div class="card time"><div class="num">{max_time:.1f}s</div><div class="label">最慢</div></div>
|
||||||
|
</div>
|
||||||
|
"""
|
||||||
|
|
||||||
|
# 按发际线类型统计
|
||||||
|
if hl_stats:
|
||||||
|
html += '<div class="section-title">按发际线类型统计</div><div class="hl-stats">'
|
||||||
|
for hl_label in ["椭圆形","花瓣形","心形","直线形","波浪形"]:
|
||||||
|
if hl_label in hl_stats:
|
||||||
|
s = hl_stats[hl_label]
|
||||||
|
times = s["times"]
|
||||||
|
avg = sum(times) / len(times)
|
||||||
|
mn, mx = min(times), max(times)
|
||||||
|
cls = hl_label
|
||||||
|
html += f'<div class="hl-card"><div class="hl-badge hl-{{cls}}">{hl_label}</div><div class="avg">{avg:.1f}s</div><div class="minmax">{mn:.1f}~{mx:.1f}s ({s["count"]}次)</div></div>'
|
||||||
|
else:
|
||||||
|
html += f'<div class="hl-card"><div class="hl-badge">{hl_label}</div><div class="avg">-</div><div class="minmax">未完成</div></div>'
|
||||||
|
html += '</div>'
|
||||||
|
|
||||||
|
# VRAM 变化图
|
||||||
|
if vram_data:
|
||||||
|
max_vram = max(v for _, v in vram_data if v > 0) or 1
|
||||||
|
html += '<div class="section-title">显存变化</div><div class="vram-chart"><div class="vram-bars">'
|
||||||
|
for i, (_, vram) in enumerate(vram_data):
|
||||||
|
if vram > 0:
|
||||||
|
h = int(vram / max_vram * 100)
|
||||||
|
html += f'<div class="vram-bar" style="height:{h}%" data-val="{vram}" title="第{i+1}次"></div>'
|
||||||
|
else:
|
||||||
|
html += f'<div class="vram-bar" style="height:0%" data-val="0"></div>'
|
||||||
|
html += '</div></div>'
|
||||||
|
|
||||||
|
# 详细结果表格
|
||||||
|
html += '<div class="section-title">详细结果</div><table><thead><tr>'
|
||||||
|
html += '<th>#</th><th>图片</th><th>发际线</th><th>总耗时</th><th>遮罩步骤</th>'
|
||||||
|
html += '<th>显存前</th><th>显存后</th><th>显存变化</th>'
|
||||||
|
html += '<th>预览图</th><th>生发图</th><th>状态</th>'
|
||||||
|
html += '</tr></thead><tbody>'
|
||||||
|
|
||||||
|
for i, r in enumerate(results):
|
||||||
|
hl_cls = r["hairline_key"]
|
||||||
|
status = '<span class="ok">✓ 成功</span>' if r["has_grown"] else f'<span class="fail">✗ {r.get("error","")}</span>'
|
||||||
|
step_ms = r.get("step_timing", {}).get("step1_ms", "")
|
||||||
|
step_str = f"{step_ms}ms" if step_ms else "-"
|
||||||
|
vram_d = r["vram_delta_mb"]
|
||||||
|
vram_d_str = f'<span style="color:{"#f44" if vram_d>0 else "#0f0"}">{"+" if vram_d>=0 else ""}{vram_d}</span>'
|
||||||
|
|
||||||
|
# 缩略图
|
||||||
|
thumb_grown = ""
|
||||||
|
if r["has_grown"]:
|
||||||
|
thumb_path = f"thumbs/{r['image']}_hl{r['hairline_id']}_grown.jpg"
|
||||||
|
if os.path.exists(os.path.join(OUT_DIR, thumb_path)):
|
||||||
|
thumb_grown = f'<img class="thumb" src="{thumb_path}">'
|
||||||
|
|
||||||
|
html += f"""<tr>
|
||||||
|
<td>{i+1}</td>
|
||||||
|
<td class="img-cell">{r['image']}</td>
|
||||||
|
<td><span class="hl-badge hl-{hl_cls}">{r['hairline_label']}</span></td>
|
||||||
|
<td><div class="time-bar" style="width:{min(r['total_time_s'],300)}px"></div> {r['total_time_s']:.1f}s</td>
|
||||||
|
<td>{step_str}</td>
|
||||||
|
<td>{r['vram_before_mb']}MB</td>
|
||||||
|
<td>{r['vram_after_mb']}MB</td>
|
||||||
|
<td>{vram_d_str}</td>
|
||||||
|
<td>{'✓' if r['has_preview'] else '✗'}</td>
|
||||||
|
<td>{thumb_grown if thumb_grown else ('✓' if r['has_grown'] else '✗')}</td>
|
||||||
|
<td>{status}</td>
|
||||||
|
</tr>"""
|
||||||
|
|
||||||
|
html += '</tbody></table>'
|
||||||
|
html += '</body></html>'
|
||||||
|
|
||||||
|
with open(REPORT_HTML, "w", encoding="utf-8") as f:
|
||||||
|
f.write(html)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
run_benchmark()
|
||||||
@@ -0,0 +1,201 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""接口2女性5种发型对比测试：Plan B vs Plan B+。
|
||||||
|
|
||||||
|
测试 hair_style=1..5（椭圆/花瓣/心形/直线/波浪），每种发型一次，记录耗时+显存+生成图。
|
||||||
|
"""
|
||||||
|
import json, os, time, base64, subprocess, urllib.request, urllib.error
|
||||||
|
from datetime import datetime
|
||||||
|
|
||||||
|
API_BASE = "http://127.0.0.1:8187"
|
||||||
|
TOKEN = "dev-shared-secret-2026"
|
||||||
|
GIRL_IMG = "/home/ubuntu/hair/image/girl_img/girl13.jpg"
|
||||||
|
PLAN_TAG = os.getenv("PLAN_TAG", "Bplus") # Bplus / B
|
||||||
|
OUT_DIR = f"/home/ubuntu/hair/benchmark_out/iface2_female_{PLAN_TAG}"
|
||||||
|
RESULT_JSON = os.path.join(OUT_DIR, "results.json")
|
||||||
|
REPORT_HTML = os.path.join(OUT_DIR, "report.html")
|
||||||
|
|
||||||
|
HAIR_STYLE_NAMES = {
|
||||||
|
"1": "椭圆", "2": "花瓣", "3": "心形", "4": "直线", "5": "波浪",
|
||||||
|
}
|
||||||
|
|
||||||
|
os.makedirs(OUT_DIR, exist_ok=True)
|
||||||
|
|
||||||
|
|
||||||
|
def get_vram():
|
||||||
|
try:
|
||||||
|
out = subprocess.check_output(
|
||||||
|
["nvidia-smi", "--query-gpu=memory.used,memory.free",
|
||||||
|
"--format=csv,noheader,nounits"], text=True, timeout=5).strip()
|
||||||
|
used, free = out.split(",")
|
||||||
|
return int(used.strip()), int(free.strip())
|
||||||
|
except Exception:
|
||||||
|
return -1, -1
|
||||||
|
|
||||||
|
|
||||||
|
def _multipart(fields, files=None):
|
||||||
|
boundary = "----If2Test" + str(int(time.time() * 1000))
|
||||||
|
parts = []
|
||||||
|
for k, v in fields.items():
|
||||||
|
parts.append(f"--{boundary}\r\n".encode())
|
||||||
|
parts.append(f'Content-Disposition: form-data; name="{k}"\r\n\r\n'.encode())
|
||||||
|
parts.append(str(v).encode())
|
||||||
|
parts.append(b"\r\n")
|
||||||
|
if files:
|
||||||
|
for field_name, (filename, data, mime) in files.items():
|
||||||
|
parts.append(f"--{boundary}\r\n".encode())
|
||||||
|
parts.append(f'Content-Disposition: form-data; name="{field_name}"; filename="{filename}"\r\n'.encode())
|
||||||
|
parts.append(f"Content-Type: {mime}\r\n\r\n".encode())
|
||||||
|
parts.append(data)
|
||||||
|
parts.append(b"\r\n")
|
||||||
|
parts.append(f"--{boundary}--\r\n".encode())
|
||||||
|
return b"".join(parts), boundary
|
||||||
|
|
||||||
|
|
||||||
|
def call_iface2_female(image_path, hair_style):
|
||||||
|
"""接口2 女性 + 指定发型（走 swapHair 路径）"""
|
||||||
|
with open(image_path, "rb") as f:
|
||||||
|
img_data = f.read()
|
||||||
|
fields = {"gender": "female", "hair_style": str(hair_style),
|
||||||
|
"prompt": "填充遮罩区域的头发，皮肤加一点磨皮"}
|
||||||
|
body, boundary = _multipart(
|
||||||
|
fields, {"image_file": (os.path.basename(image_path), img_data, "image/jpeg")})
|
||||||
|
req = urllib.request.Request(f"{API_BASE}/api/v1/hair/grow", data=body, method="POST")
|
||||||
|
req.add_header("Content-Type", f"multipart/form-data; boundary={boundary}")
|
||||||
|
req.add_header("X-Internal-Token", TOKEN)
|
||||||
|
t0 = time.time()
|
||||||
|
try:
|
||||||
|
with urllib.request.urlopen(req, timeout=600) as resp:
|
||||||
|
data = json.loads(resp.read())
|
||||||
|
return data, time.time() - t0, None
|
||||||
|
except Exception as e:
|
||||||
|
return {}, time.time() - t0, str(e)
|
||||||
|
|
||||||
|
|
||||||
|
def run_test():
|
||||||
|
results = []
|
||||||
|
print(f"接口2女性5种发型测试 — Plan={PLAN_TAG}")
|
||||||
|
print(f"图片：{GIRL_IMG}\n")
|
||||||
|
|
||||||
|
for hs in range(1, 6):
|
||||||
|
name = HAIR_STYLE_NAMES[str(hs)]
|
||||||
|
print(f"\n[{hs}/5] hair_style={hs} ({name}) ...")
|
||||||
|
|
||||||
|
vram_before, vram_free_before = get_vram()
|
||||||
|
data, elapsed, error = call_iface2_female(GIRL_IMG, hs)
|
||||||
|
vram_after, vram_free_after = get_vram()
|
||||||
|
|
||||||
|
code = data.get("code", -1) if data else -1
|
||||||
|
ok = (code == 0)
|
||||||
|
|
||||||
|
# 保存生成图（如果有）
|
||||||
|
img_path = None
|
||||||
|
if ok and data.get("data"):
|
||||||
|
try:
|
||||||
|
items = data["data"].get("results") or []
|
||||||
|
if items and isinstance(items, list):
|
||||||
|
first = items[0]
|
||||||
|
b64 = first.get("grown_image_base64") or ""
|
||||||
|
if b64.startswith("data:"):
|
||||||
|
b64 = b64.split(",", 1)[1]
|
||||||
|
if b64:
|
||||||
|
img_path = os.path.join(OUT_DIR, f"hair_style_{hs}_{name}.jpg")
|
||||||
|
with open(img_path, "wb") as f:
|
||||||
|
f.write(base64.b64decode(b64))
|
||||||
|
except Exception as e:
|
||||||
|
print(f" 保存图片失败: {e}")
|
||||||
|
|
||||||
|
record = {
|
||||||
|
"plan": PLAN_TAG,
|
||||||
|
"hair_style": hs,
|
||||||
|
"hair_style_name": name,
|
||||||
|
"timestamp": datetime.now().strftime("%H:%M:%S"),
|
||||||
|
"elapsed_s": round(elapsed, 2),
|
||||||
|
"success": ok,
|
||||||
|
"code": code,
|
||||||
|
"error": error,
|
||||||
|
"vram_before_mb": vram_before,
|
||||||
|
"vram_after_mb": vram_after,
|
||||||
|
"vram_delta_mb": vram_after - vram_before,
|
||||||
|
"image_path": img_path,
|
||||||
|
}
|
||||||
|
results.append(record)
|
||||||
|
|
||||||
|
status = "✓" if ok else "✗"
|
||||||
|
print(f" → {status} code={code} time={elapsed:.1f}s "
|
||||||
|
f"vram={vram_before}→{vram_after}MB (Δ{vram_after-vram_before:+d}) "
|
||||||
|
f"img={'saved' if img_path else 'none'}")
|
||||||
|
|
||||||
|
with open(RESULT_JSON, "w") as f:
|
||||||
|
json.dump(results, f, indent=2, ensure_ascii=False)
|
||||||
|
generate_html(results)
|
||||||
|
|
||||||
|
generate_html(results)
|
||||||
|
print(f"\n✅ 完成！{RESULT_JSON}")
|
||||||
|
print(f"📄 报告：{REPORT_HTML}")
|
||||||
|
|
||||||
|
|
||||||
|
def generate_html(results):
|
||||||
|
total = len(results)
|
||||||
|
success = sum(1 for r in results if r["success"])
|
||||||
|
times = [r["elapsed_s"] for r in results if r["success"]]
|
||||||
|
avg_time = sum(times) / len(times) if times else 0
|
||||||
|
|
||||||
|
html = f"""<!DOCTYPE html>
|
||||||
|
<html lang="zh-CN"><head><meta charset="UTF-8"><title>接口2女5种发型 - Plan {PLAN_TAG}</title>
|
||||||
|
<style>
|
||||||
|
*{{margin:0;padding:0;box-sizing:border-box}}
|
||||||
|
body{{font-family:sans-serif;background:#1a1a2e;color:#e0e0e0;padding:20px}}
|
||||||
|
h1{{text-align:center;color:#00d4ff;margin-bottom:10px}}
|
||||||
|
.subtitle{{text-align:center;color:#888;margin-bottom:30px;font-size:14px}}
|
||||||
|
.summary{{display:grid;grid-template-columns:repeat(auto-fit,minmax(160px,1fr));gap:15px;margin-bottom:30px}}
|
||||||
|
.card{{background:#16213e;border-radius:12px;padding:20px;text-align:center;border:1px solid #333}}
|
||||||
|
.card .num{{font-size:28px;font-weight:700}}
|
||||||
|
.card .label{{font-size:12px;color:#888;margin-top:5px}}
|
||||||
|
.card.ok .num{{color:#0f0}} .card.err .num{{color:#f44}} .card.time .num{{color:#00d4ff}}
|
||||||
|
table{{width:100%;border-collapse:collapse;margin-bottom:30px;background:#16213e;border-radius:12px;overflow:hidden}}
|
||||||
|
th{{background:#0f3460;padding:10px 8px;text-align:center;font-size:13px;color:#fff}}
|
||||||
|
td{{padding:8px;text-align:center;border-bottom:1px solid #222;font-size:13px}}
|
||||||
|
tr:hover{{background:#1a1a3e}}
|
||||||
|
.section-title{{font-size:18px;font-weight:600;margin:30px 0 15px;color:#00d4ff;border-bottom:1px solid #333;padding-bottom:10px}}
|
||||||
|
.ok{{color:#0f0}} .fail{{color:#f44}}
|
||||||
|
.time-bar{{display:inline-block;height:18px;background:linear-gradient(90deg,#0f3460,#00d4ff);border-radius:3px;vertical-align:middle;min-width:2px}}
|
||||||
|
.gallery{{display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:15px}}
|
||||||
|
.gallery img{{width:100%;border-radius:8px;border:1px solid #333}}
|
||||||
|
.gallery .item{{text-align:center}}
|
||||||
|
.gallery .cap{{margin-top:5px;font-size:12px;color:#888}}
|
||||||
|
</style></head><body>
|
||||||
|
<h1>📊 接口2女性5种发型测试报告</h1>
|
||||||
|
<div class="subtitle">Plan {PLAN_TAG} ｜ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} ｜ {total} 次调用</div>
|
||||||
|
<div class="summary">
|
||||||
|
<div class="card ok"><div class="num">{success}</div><div class="label">成功</div></div>
|
||||||
|
<div class="card err"><div class="num">{total-success}</div><div class="label">失败</div></div>
|
||||||
|
<div class="card time"><div class="num">{avg_time:.1f}s</div><div class="label">平均耗时</div></div>
|
||||||
|
</div>
|
||||||
|
<div class="section-title">详细结果</div>
|
||||||
|
<table><thead><tr><th>发型</th><th>名称</th><th>耗时</th><th>显存前</th><th>显存后</th><th>Δ</th><th>状态</th></tr></thead><tbody>
|
||||||
|
"""
|
||||||
|
for r in results:
|
||||||
|
status = '<span class="ok">✓</span>' if r["success"] else f'<span class="fail">✗ {str(r.get("error",""))[:30]}</span>'
|
||||||
|
html += f'<tr><td>style {r["hair_style"]}</td><td>{r["hair_style_name"]}</td>' \
|
||||||
|
f'<td><div class="time-bar" style="width:{min(r["elapsed_s"]*15,200)}px"></div> {r["elapsed_s"]:.1f}s</td>' \
|
||||||
|
f'<td>{r["vram_before_mb"]}MB</td><td>{r["vram_after_mb"]}MB</td>' \
|
||||||
|
f'<td>{r["vram_delta_mb"]:+d}</td><td>{status}</td></tr>'
|
||||||
|
|
||||||
|
html += '</tbody></table>'
|
||||||
|
|
||||||
|
# 图片画廊
|
||||||
|
saved = [r for r in results if r.get("image_path") and os.path.isfile(r["image_path"])]
|
||||||
|
if saved:
|
||||||
|
html += '<div class="section-title">生成图片</div><div class="gallery">'
|
||||||
|
for r in saved:
|
||||||
|
rel = os.path.relpath(r["image_path"], OUT_DIR)
|
||||||
|
html += f'<div class="item"><img src="{rel}"><div class="cap">{r["hair_style_name"]} ({r["elapsed_s"]:.1f}s)</div></div>'
|
||||||
|
html += '</div>'
|
||||||
|
|
||||||
|
html += '</body></html>'
|
||||||
|
with open(REPORT_HTML, "w", encoding="utf-8") as f:
|
||||||
|
f.write(html)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
run_test()
|
||||||
@@ -0,0 +1,43 @@
|
|||||||
|
nohup: ignoring input
|
||||||
|
9B vs 4B 对比测试 — Plan=A
|
||||||
|
图片: ['girl1.jpg', 'girl7.jpg', 'girl13.jpg']
|
||||||
|
发型: [(1, '椭圆'), (2, '花瓣'), (3, '心形'), (4, '直线'), (5, '波浪')]
|
||||||
|
总调用: 15
|
||||||
|
|
||||||
|
[warmup] 预热请求 (girl13, style=1) ...
|
||||||
|
warmup: 25.7s
|
||||||
|
|
||||||
|
[img1/3] girl1.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=9.4s vram=26207→29449MB (Δ+3242) img=saved
|
||||||
|
[img1/3] girl1.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=10.5s vram=29449→26341MB (Δ-3108) img=saved
|
||||||
|
[img1/3] girl1.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=10.5s vram=26341→26051MB (Δ-290) img=saved
|
||||||
|
[img1/3] girl1.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=10.4s vram=26051→26257MB (Δ+206) img=saved
|
||||||
|
[img1/3] girl1.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=10.8s vram=26257→26319MB (Δ+62) img=saved
|
||||||
|
[img2/3] girl7.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=7.9s vram=26319→28417MB (Δ+2098) img=saved
|
||||||
|
[img2/3] girl7.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=7.8s vram=28417→28397MB (Δ-20) img=saved
|
||||||
|
[img2/3] girl7.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=7.7s vram=28397→28409MB (Δ+12) img=saved
|
||||||
|
[img2/3] girl7.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=8.2s vram=28409→26335MB (Δ-2074) img=saved
|
||||||
|
[img2/3] girl7.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=7.9s vram=26335→28419MB (Δ+2084) img=saved
|
||||||
|
[img3/3] girl13.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=8.9s vram=28419→28835MB (Δ+416) img=saved
|
||||||
|
[img3/3] girl13.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=9.1s vram=28835→28817MB (Δ-18) img=saved
|
||||||
|
[img3/3] girl13.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=8.8s vram=28817→28795MB (Δ-22) img=saved
|
||||||
|
[img3/3] girl13.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=8.8s vram=28795→28845MB (Δ+50) img=saved
|
||||||
|
[img3/3] girl13.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=9.0s vram=28845→26291MB (Δ-2554) img=saved
|
||||||
|
|
||||||
|
✅ 完成！/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/results.json
|
||||||
|
📊 成功: 15/15
|
||||||
|
⏱ 平均: 9.06s
|
||||||
Binary file not shown.
|
After Width: | Height: | Size: 219 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 218 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 214 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 211 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 221 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 114 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 113 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 114 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 116 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 117 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 150 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 155 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 149 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 149 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 156 KiB |
@@ -0,0 +1,257 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:04:32",
|
||||||
|
"elapsed_s": 9.41,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26207,
|
||||||
|
"vram_after_mb": 29449,
|
||||||
|
"vram_delta_mb": 3242,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img1_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:04:42",
|
||||||
|
"elapsed_s": 10.51,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 29449,
|
||||||
|
"vram_after_mb": 26341,
|
||||||
|
"vram_delta_mb": -3108,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img1_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:04:53",
|
||||||
|
"elapsed_s": 10.49,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26341,
|
||||||
|
"vram_after_mb": 26051,
|
||||||
|
"vram_delta_mb": -290,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img1_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:05:03",
|
||||||
|
"elapsed_s": 10.45,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26051,
|
||||||
|
"vram_after_mb": 26257,
|
||||||
|
"vram_delta_mb": 206,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img1_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:05:14",
|
||||||
|
"elapsed_s": 10.85,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26257,
|
||||||
|
"vram_after_mb": 26319,
|
||||||
|
"vram_delta_mb": 62,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img1_style5.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:05:22",
|
||||||
|
"elapsed_s": 7.91,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26319,
|
||||||
|
"vram_after_mb": 28417,
|
||||||
|
"vram_delta_mb": 2098,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img2_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:05:30",
|
||||||
|
"elapsed_s": 7.81,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28417,
|
||||||
|
"vram_after_mb": 28397,
|
||||||
|
"vram_delta_mb": -20,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img2_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:05:38",
|
||||||
|
"elapsed_s": 7.74,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28397,
|
||||||
|
"vram_after_mb": 28409,
|
||||||
|
"vram_delta_mb": 12,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img2_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:05:46",
|
||||||
|
"elapsed_s": 8.17,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28409,
|
||||||
|
"vram_after_mb": 26335,
|
||||||
|
"vram_delta_mb": -2074,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img2_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:05:54",
|
||||||
|
"elapsed_s": 7.92,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 26335,
|
||||||
|
"vram_after_mb": 28419,
|
||||||
|
"vram_delta_mb": 2084,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img2_style5.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:06:03",
|
||||||
|
"elapsed_s": 8.95,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28419,
|
||||||
|
"vram_after_mb": 28835,
|
||||||
|
"vram_delta_mb": 416,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img3_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:06:12",
|
||||||
|
"elapsed_s": 9.07,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28835,
|
||||||
|
"vram_after_mb": 28817,
|
||||||
|
"vram_delta_mb": -18,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img3_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:06:21",
|
||||||
|
"elapsed_s": 8.82,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28817,
|
||||||
|
"vram_after_mb": 28795,
|
||||||
|
"vram_delta_mb": -22,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img3_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:06:30",
|
||||||
|
"elapsed_s": 8.84,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28795,
|
||||||
|
"vram_after_mb": 28845,
|
||||||
|
"vram_delta_mb": 50,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img3_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "A",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:06:39",
|
||||||
|
"elapsed_s": 8.96,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28845,
|
||||||
|
"vram_after_mb": 26291,
|
||||||
|
"vram_delta_mb": -2554,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_A/img3_style5.jpg"
|
||||||
|
}
|
||||||
|
]
|
||||||
@@ -0,0 +1,43 @@
|
|||||||
|
nohup: ignoring input
|
||||||
|
9B vs 4B 对比测试 — Plan=Bplus
|
||||||
|
图片: ['girl1.jpg', 'girl7.jpg', 'girl13.jpg']
|
||||||
|
发型: [(1, '椭圆'), (2, '花瓣'), (3, '心形'), (4, '直线'), (5, '波浪')]
|
||||||
|
总调用: 15
|
||||||
|
|
||||||
|
[warmup] 预热请求 (girl13, style=1) ...
|
||||||
|
warmup: 12.1s
|
||||||
|
|
||||||
|
[img1/3] girl1.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=7.7s vram=25531→28691MB (Δ+3160) img=saved
|
||||||
|
[img1/3] girl1.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=8.8s vram=28691→28655MB (Δ-36) img=saved
|
||||||
|
[img1/3] girl1.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=9.1s vram=28655→28651MB (Δ-4) img=saved
|
||||||
|
[img1/3] girl1.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=8.7s vram=28651→28641MB (Δ-10) img=saved
|
||||||
|
[img1/3] girl1.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=8.8s vram=28641→28637MB (Δ-4) img=saved
|
||||||
|
[img2/3] girl7.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=7.0s vram=28637→25539MB (Δ-3098) img=saved
|
||||||
|
[img2/3] girl7.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=6.7s vram=25539→27599MB (Δ+2060) img=saved
|
||||||
|
[img2/3] girl7.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=6.7s vram=27599→27597MB (Δ-2) img=saved
|
||||||
|
[img2/3] girl7.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=7.0s vram=27597→25533MB (Δ-2064) img=saved
|
||||||
|
[img2/3] girl7.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=6.7s vram=25533→27585MB (Δ+2052) img=saved
|
||||||
|
[img3/3] girl13.jpg style=1(椭圆) ...
|
||||||
|
→ ✓ code=0 time=7.6s vram=27585→28023MB (Δ+438) img=saved
|
||||||
|
[img3/3] girl13.jpg style=2(花瓣) ...
|
||||||
|
→ ✓ code=0 time=7.8s vram=28023→27997MB (Δ-26) img=saved
|
||||||
|
[img3/3] girl13.jpg style=3(心形) ...
|
||||||
|
→ ✓ code=0 time=7.8s vram=27997→25557MB (Δ-2440) img=saved
|
||||||
|
[img3/3] girl13.jpg style=4(直线) ...
|
||||||
|
→ ✓ code=0 time=7.6s vram=25557→28011MB (Δ+2454) img=saved
|
||||||
|
[img3/3] girl13.jpg style=5(波浪) ...
|
||||||
|
→ ✓ code=0 time=7.8s vram=28011→28017MB (Δ+6) img=saved
|
||||||
|
|
||||||
|
✅ 完成！/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/results.json
|
||||||
|
📊 成功: 15/15
|
||||||
|
⏱ 平均: 7.72s
|
||||||
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|
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@@ -0,0 +1,257 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:08:20",
|
||||||
|
"elapsed_s": 7.69,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25531,
|
||||||
|
"vram_after_mb": 28691,
|
||||||
|
"vram_delta_mb": 3160,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img1_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:08:28",
|
||||||
|
"elapsed_s": 8.77,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28691,
|
||||||
|
"vram_after_mb": 28655,
|
||||||
|
"vram_delta_mb": -36,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img1_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:08:38",
|
||||||
|
"elapsed_s": 9.07,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28655,
|
||||||
|
"vram_after_mb": 28651,
|
||||||
|
"vram_delta_mb": -4,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img1_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:08:46",
|
||||||
|
"elapsed_s": 8.73,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28651,
|
||||||
|
"vram_after_mb": 28641,
|
||||||
|
"vram_delta_mb": -10,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img1_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 1,
|
||||||
|
"image_name": "girl1.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl1.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:08:55",
|
||||||
|
"elapsed_s": 8.81,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28641,
|
||||||
|
"vram_after_mb": 28637,
|
||||||
|
"vram_delta_mb": -4,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img1_style5.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:09:02",
|
||||||
|
"elapsed_s": 7.04,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28637,
|
||||||
|
"vram_after_mb": 25539,
|
||||||
|
"vram_delta_mb": -3098,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img2_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:09:09",
|
||||||
|
"elapsed_s": 6.67,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25539,
|
||||||
|
"vram_after_mb": 27599,
|
||||||
|
"vram_delta_mb": 2060,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img2_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:09:16",
|
||||||
|
"elapsed_s": 6.73,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27599,
|
||||||
|
"vram_after_mb": 27597,
|
||||||
|
"vram_delta_mb": -2,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img2_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:09:23",
|
||||||
|
"elapsed_s": 6.96,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27597,
|
||||||
|
"vram_after_mb": 25533,
|
||||||
|
"vram_delta_mb": -2064,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img2_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 2,
|
||||||
|
"image_name": "girl7.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl7.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:09:29",
|
||||||
|
"elapsed_s": 6.74,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25533,
|
||||||
|
"vram_after_mb": 27585,
|
||||||
|
"vram_delta_mb": 2052,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img2_style5.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "14:09:37",
|
||||||
|
"elapsed_s": 7.62,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27585,
|
||||||
|
"vram_after_mb": 28023,
|
||||||
|
"vram_delta_mb": 438,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img3_style1.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "14:09:45",
|
||||||
|
"elapsed_s": 7.84,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28023,
|
||||||
|
"vram_after_mb": 27997,
|
||||||
|
"vram_delta_mb": -26,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img3_style2.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "14:09:53",
|
||||||
|
"elapsed_s": 7.83,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27997,
|
||||||
|
"vram_after_mb": 25557,
|
||||||
|
"vram_delta_mb": -2440,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img3_style3.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "14:10:00",
|
||||||
|
"elapsed_s": 7.59,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25557,
|
||||||
|
"vram_after_mb": 28011,
|
||||||
|
"vram_delta_mb": 2454,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img3_style4.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"image_idx": 3,
|
||||||
|
"image_name": "girl13.jpg",
|
||||||
|
"image_path": "/home/ubuntu/hair/image/girl_img/girl13.jpg",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "14:10:08",
|
||||||
|
"elapsed_s": 7.77,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28011,
|
||||||
|
"vram_after_mb": 28017,
|
||||||
|
"vram_delta_mb": 6,
|
||||||
|
"saved_image_path": "/home/ubuntu/hair/benchmark_out/9b_vs_4b_Bplus/img3_style5.jpg"
|
||||||
|
}
|
||||||
|
]
|
||||||
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|
|||||||
|
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|
||||||
|
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|
||||||
|
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|
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||||||
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|
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||||||
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||||||
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|
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||||||
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||||||
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|
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||||||
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||||||
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|
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||||||
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||||||
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|
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|
||||||
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||||||
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|
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|
||||||
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||||||
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|
||||||
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||||||
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|
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||||||
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||||||
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|
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|
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|
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|
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|
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||||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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||||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||||
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||||||
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|
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|
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|
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|
||||||
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||||||
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|
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|
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|
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||||||
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|
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|
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||||||
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|
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|
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|
||||||
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|
||||||
|
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|
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|
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|
||||||
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|
||||||
|
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|
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|
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|
||||||
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||||||
|
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|
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|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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[14/19] girl4.jpg → 椭圆形(1) ...
|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
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||||||
|
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|
||||||
|
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|
||||||
|
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||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=8.7s vram=23925→23931MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=8.7s vram=23931→23951MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[16/19] girl6.jpg → 椭圆形(1) ...
|
||||||
|
→ HTTP code=0 time=8.4s vram=23951→23729MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=8.7s vram=23729→22377MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=8.4s vram=22377→23685MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=8.3s vram=23685→23731MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
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|
||||||
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||||||
|
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|
||||||
|
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|
||||||
|
|
||||||
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|
||||||
|
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|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=10.0s vram=24447→24481MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
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|
||||||
|
→ HTTP code=0 time=10.0s vram=24481→24469MB preview=✓ grown=✓
|
||||||
|
|
||||||
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[17/19] girl7.jpg → 波浪形(5) ...
|
||||||
|
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|
||||||
|
|
||||||
|
[18/19] girl8.jpg → 椭圆形(1) ...
|
||||||
|
→ HTTP code=0 time=11.4s vram=24475→24861MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[18/19] girl8.jpg → 花瓣形(2) ...
|
||||||
|
→ HTTP code=0 time=11.5s vram=24861→24823MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[18/19] girl8.jpg → 心形(3) ...
|
||||||
|
→ HTTP code=0 time=11.3s vram=24823→22393MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[18/19] girl8.jpg → 直线形(4) ...
|
||||||
|
→ HTTP code=0 time=11.1s vram=22393→22389MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[18/19] girl8.jpg → 波浪形(5) ...
|
||||||
|
→ HTTP code=0 time=11.1s vram=22389→22365MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[19/19] girl9.jpg → 椭圆形(1) ...
|
||||||
|
→ HTTP code=0 time=11.9s vram=22365→22391MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[19/19] girl9.jpg → 花瓣形(2) ...
|
||||||
|
→ HTTP code=0 time=11.9s vram=22391→22375MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[19/19] girl9.jpg → 心形(3) ...
|
||||||
|
→ HTTP code=0 time=11.9s vram=22375→22391MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[19/19] girl9.jpg → 直线形(4) ...
|
||||||
|
→ HTTP code=0 time=11.9s vram=22391→22371MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
[19/19] girl9.jpg → 波浪形(5) ...
|
||||||
|
→ HTTP code=0 time=11.8s vram=22371→22373MB preview=✓ grown=✓
|
||||||
|
|
||||||
|
✅ 完成！结果: /home/ubuntu/hair/benchmark_out/benchmark_results.json
|
||||||
|
📄 报告: /home/ubuntu/hair/benchmark_out/benchmark_report.html
|
||||||
|
📊 总调用: 95/95
|
||||||
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|
|||||||
|
nohup: ignoring input
|
||||||
|
接口2女性5种发型测试 — Plan=B
|
||||||
|
图片：/home/ubuntu/hair/image/girl_img/girl13.jpg
|
||||||
|
|
||||||
|
|
||||||
|
[1/5] hair_style=1 (椭圆) ...
|
||||||
|
→ ✓ code=0 time=8.7s vram=24981→25025MB (Δ+44) img=saved
|
||||||
|
|
||||||
|
[2/5] hair_style=2 (花瓣) ...
|
||||||
|
→ ✓ code=0 time=8.4s vram=25025→27451MB (Δ+2426) img=saved
|
||||||
|
|
||||||
|
[3/5] hair_style=3 (心形) ...
|
||||||
|
→ ✓ code=0 time=8.4s vram=27451→27431MB (Δ-20) img=saved
|
||||||
|
|
||||||
|
[4/5] hair_style=4 (直线) ...
|
||||||
|
→ ✓ code=0 time=8.5s vram=27431→27433MB (Δ+2) img=saved
|
||||||
|
|
||||||
|
[5/5] hair_style=5 (波浪) ...
|
||||||
|
→ ✓ code=0 time=8.4s vram=27433→27407MB (Δ-26) img=saved
|
||||||
|
|
||||||
|
✅ 完成！/home/ubuntu/hair/benchmark_out/iface2_female_B/results.json
|
||||||
|
📄 报告：/home/ubuntu/hair/benchmark_out/iface2_female_B/report.html
|
||||||
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|
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|
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|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="zh-CN"><head><meta charset="UTF-8"><title>接口2女5种发型 - Plan B</title>
|
||||||
|
<style>
|
||||||
|
*{margin:0;padding:0;box-sizing:border-box}
|
||||||
|
body{font-family:sans-serif;background:#1a1a2e;color:#e0e0e0;padding:20px}
|
||||||
|
h1{text-align:center;color:#00d4ff;margin-bottom:10px}
|
||||||
|
.subtitle{text-align:center;color:#888;margin-bottom:30px;font-size:14px}
|
||||||
|
.summary{display:grid;grid-template-columns:repeat(auto-fit,minmax(160px,1fr));gap:15px;margin-bottom:30px}
|
||||||
|
.card{background:#16213e;border-radius:12px;padding:20px;text-align:center;border:1px solid #333}
|
||||||
|
.card .num{font-size:28px;font-weight:700}
|
||||||
|
.card .label{font-size:12px;color:#888;margin-top:5px}
|
||||||
|
.card.ok .num{color:#0f0} .card.err .num{color:#f44} .card.time .num{color:#00d4ff}
|
||||||
|
table{width:100%;border-collapse:collapse;margin-bottom:30px;background:#16213e;border-radius:12px;overflow:hidden}
|
||||||
|
th{background:#0f3460;padding:10px 8px;text-align:center;font-size:13px;color:#fff}
|
||||||
|
td{padding:8px;text-align:center;border-bottom:1px solid #222;font-size:13px}
|
||||||
|
tr:hover{background:#1a1a3e}
|
||||||
|
.section-title{font-size:18px;font-weight:600;margin:30px 0 15px;color:#00d4ff;border-bottom:1px solid #333;padding-bottom:10px}
|
||||||
|
.ok{color:#0f0} .fail{color:#f44}
|
||||||
|
.time-bar{display:inline-block;height:18px;background:linear-gradient(90deg,#0f3460,#00d4ff);border-radius:3px;vertical-align:middle;min-width:2px}
|
||||||
|
.gallery{display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:15px}
|
||||||
|
.gallery img{width:100%;border-radius:8px;border:1px solid #333}
|
||||||
|
.gallery .item{text-align:center}
|
||||||
|
.gallery .cap{margin-top:5px;font-size:12px;color:#888}
|
||||||
|
</style></head><body>
|
||||||
|
<h1>📊 接口2女性5种发型测试报告</h1>
|
||||||
|
<div class="subtitle">Plan B ｜ 2026-07-18 13:52:20 ｜ 5 次调用</div>
|
||||||
|
<div class="summary">
|
||||||
|
<div class="card ok"><div class="num">5</div><div class="label">成功</div></div>
|
||||||
|
<div class="card err"><div class="num">0</div><div class="label">失败</div></div>
|
||||||
|
<div class="card time"><div class="num">8.5s</div><div class="label">平均耗时</div></div>
|
||||||
|
</div>
|
||||||
|
<div class="section-title">详细结果</div>
|
||||||
|
<table><thead><tr><th>发型</th><th>名称</th><th>耗时</th><th>显存前</th><th>显存后</th><th>Δ</th><th>状态</th></tr></thead><tbody>
|
||||||
|
<tr><td>style 1</td><td>椭圆</td><td><div class="time-bar" style="width:130.65px"></div> 8.7s</td><td>24981MB</td><td>25025MB</td><td>+44</td><td><span class="ok">✓</span></td></tr><tr><td>style 2</td><td>花瓣</td><td><div class="time-bar" style="width:125.54999999999998px"></div> 8.4s</td><td>25025MB</td><td>27451MB</td><td>+2426</td><td><span class="ok">✓</span></td></tr><tr><td>style 3</td><td>心形</td><td><div class="time-bar" style="width:125.54999999999998px"></div> 8.4s</td><td>27451MB</td><td>27431MB</td><td>-20</td><td><span class="ok">✓</span></td></tr><tr><td>style 4</td><td>直线</td><td><div class="time-bar" style="width:127.5px"></div> 8.5s</td><td>27431MB</td><td>27433MB</td><td>+2</td><td><span class="ok">✓</span></td></tr><tr><td>style 5</td><td>波浪</td><td><div class="time-bar" style="width:126.0px"></div> 8.4s</td><td>27433MB</td><td>27407MB</td><td>-26</td><td><span class="ok">✓</span></td></tr></tbody></table><div class="section-title">生成图片</div><div class="gallery"><div class="item"><img src="hair_style_1_椭圆.jpg"><div class="cap">椭圆 (8.7s)</div></div><div class="item"><img src="hair_style_2_花瓣.jpg"><div class="cap">花瓣 (8.4s)</div></div><div class="item"><img src="hair_style_3_心形.jpg"><div class="cap">心形 (8.4s)</div></div><div class="item"><img src="hair_style_4_直线.jpg"><div class="cap">直线 (8.5s)</div></div><div class="item"><img src="hair_style_5_波浪.jpg"><div class="cap">波浪 (8.4s)</div></div></div></body></html>
|
||||||
@@ -0,0 +1,72 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"plan": "B",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "13:51:46",
|
||||||
|
"elapsed_s": 8.71,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 24981,
|
||||||
|
"vram_after_mb": 25025,
|
||||||
|
"vram_delta_mb": 44,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_B/hair_style_1_椭圆.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "B",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "13:51:55",
|
||||||
|
"elapsed_s": 8.37,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25025,
|
||||||
|
"vram_after_mb": 27451,
|
||||||
|
"vram_delta_mb": 2426,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_B/hair_style_2_花瓣.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "B",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "13:52:03",
|
||||||
|
"elapsed_s": 8.37,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27451,
|
||||||
|
"vram_after_mb": 27431,
|
||||||
|
"vram_delta_mb": -20,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_B/hair_style_3_心形.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "B",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "13:52:11",
|
||||||
|
"elapsed_s": 8.5,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27431,
|
||||||
|
"vram_after_mb": 27433,
|
||||||
|
"vram_delta_mb": 2,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_B/hair_style_4_直线.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "B",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "13:52:20",
|
||||||
|
"elapsed_s": 8.4,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 27433,
|
||||||
|
"vram_after_mb": 27407,
|
||||||
|
"vram_delta_mb": -26,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_B/hair_style_5_波浪.jpg"
|
||||||
|
}
|
||||||
|
]
|
||||||
@@ -0,0 +1,22 @@
|
|||||||
|
nohup: ignoring input
|
||||||
|
接口2女性5种发型测试 — Plan=Bplus
|
||||||
|
图片：/home/ubuntu/hair/image/girl_img/girl13.jpg
|
||||||
|
|
||||||
|
|
||||||
|
[1/5] hair_style=1 (椭圆) ...
|
||||||
|
→ ✓ code=0 time=7.9s vram=25875→25889MB (Δ+14) img=saved
|
||||||
|
|
||||||
|
[2/5] hair_style=2 (花瓣) ...
|
||||||
|
→ ✓ code=0 time=8.0s vram=25889→28337MB (Δ+2448) img=saved
|
||||||
|
|
||||||
|
[3/5] hair_style=3 (心形) ...
|
||||||
|
→ ✓ code=0 time=7.8s vram=28337→28355MB (Δ+18) img=saved
|
||||||
|
|
||||||
|
[4/5] hair_style=4 (直线) ...
|
||||||
|
→ ✓ code=0 time=7.6s vram=28355→28333MB (Δ-22) img=saved
|
||||||
|
|
||||||
|
[5/5] hair_style=5 (波浪) ...
|
||||||
|
→ ✓ code=0 time=8.3s vram=28333→25885MB (Δ-2448) img=saved
|
||||||
|
|
||||||
|
✅ 完成！/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/results.json
|
||||||
|
📄 报告：/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/report.html
|
||||||
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|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="zh-CN"><head><meta charset="UTF-8"><title>接口2女5种发型 - Plan Bplus</title>
|
||||||
|
<style>
|
||||||
|
*{margin:0;padding:0;box-sizing:border-box}
|
||||||
|
body{font-family:sans-serif;background:#1a1a2e;color:#e0e0e0;padding:20px}
|
||||||
|
h1{text-align:center;color:#00d4ff;margin-bottom:10px}
|
||||||
|
.subtitle{text-align:center;color:#888;margin-bottom:30px;font-size:14px}
|
||||||
|
.summary{display:grid;grid-template-columns:repeat(auto-fit,minmax(160px,1fr));gap:15px;margin-bottom:30px}
|
||||||
|
.card{background:#16213e;border-radius:12px;padding:20px;text-align:center;border:1px solid #333}
|
||||||
|
.card .num{font-size:28px;font-weight:700}
|
||||||
|
.card .label{font-size:12px;color:#888;margin-top:5px}
|
||||||
|
.card.ok .num{color:#0f0} .card.err .num{color:#f44} .card.time .num{color:#00d4ff}
|
||||||
|
table{width:100%;border-collapse:collapse;margin-bottom:30px;background:#16213e;border-radius:12px;overflow:hidden}
|
||||||
|
th{background:#0f3460;padding:10px 8px;text-align:center;font-size:13px;color:#fff}
|
||||||
|
td{padding:8px;text-align:center;border-bottom:1px solid #222;font-size:13px}
|
||||||
|
tr:hover{background:#1a1a3e}
|
||||||
|
.section-title{font-size:18px;font-weight:600;margin:30px 0 15px;color:#00d4ff;border-bottom:1px solid #333;padding-bottom:10px}
|
||||||
|
.ok{color:#0f0} .fail{color:#f44}
|
||||||
|
.time-bar{display:inline-block;height:18px;background:linear-gradient(90deg,#0f3460,#00d4ff);border-radius:3px;vertical-align:middle;min-width:2px}
|
||||||
|
.gallery{display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:15px}
|
||||||
|
.gallery img{width:100%;border-radius:8px;border:1px solid #333}
|
||||||
|
.gallery .item{text-align:center}
|
||||||
|
.gallery .cap{margin-top:5px;font-size:12px;color:#888}
|
||||||
|
</style></head><body>
|
||||||
|
<h1>📊 接口2女性5种发型测试报告</h1>
|
||||||
|
<div class="subtitle">Plan Bplus ｜ 2026-07-18 13:50:43 ｜ 5 次调用</div>
|
||||||
|
<div class="summary">
|
||||||
|
<div class="card ok"><div class="num">5</div><div class="label">成功</div></div>
|
||||||
|
<div class="card err"><div class="num">0</div><div class="label">失败</div></div>
|
||||||
|
<div class="card time"><div class="num">7.9s</div><div class="label">平均耗时</div></div>
|
||||||
|
</div>
|
||||||
|
<div class="section-title">详细结果</div>
|
||||||
|
<table><thead><tr><th>发型</th><th>名称</th><th>耗时</th><th>显存前</th><th>显存后</th><th>Δ</th><th>状态</th></tr></thead><tbody>
|
||||||
|
<tr><td>style 1</td><td>椭圆</td><td><div class="time-bar" style="width:119.10000000000001px"></div> 7.9s</td><td>25875MB</td><td>25889MB</td><td>+14</td><td><span class="ok">✓</span></td></tr><tr><td>style 2</td><td>花瓣</td><td><div class="time-bar" style="width:120.6px"></div> 8.0s</td><td>25889MB</td><td>28337MB</td><td>+2448</td><td><span class="ok">✓</span></td></tr><tr><td>style 3</td><td>心形</td><td><div class="time-bar" style="width:116.55px"></div> 7.8s</td><td>28337MB</td><td>28355MB</td><td>+18</td><td><span class="ok">✓</span></td></tr><tr><td>style 4</td><td>直线</td><td><div class="time-bar" style="width:114.6px"></div> 7.6s</td><td>28355MB</td><td>28333MB</td><td>-22</td><td><span class="ok">✓</span></td></tr><tr><td>style 5</td><td>波浪</td><td><div class="time-bar" style="width:123.89999999999999px"></div> 8.3s</td><td>28333MB</td><td>25885MB</td><td>-2448</td><td><span class="ok">✓</span></td></tr></tbody></table><div class="section-title">生成图片</div><div class="gallery"><div class="item"><img src="hair_style_1_椭圆.jpg"><div class="cap">椭圆 (7.9s)</div></div><div class="item"><img src="hair_style_2_花瓣.jpg"><div class="cap">花瓣 (8.0s)</div></div><div class="item"><img src="hair_style_3_心形.jpg"><div class="cap">心形 (7.8s)</div></div><div class="item"><img src="hair_style_4_直线.jpg"><div class="cap">直线 (7.6s)</div></div><div class="item"><img src="hair_style_5_波浪.jpg"><div class="cap">波浪 (8.3s)</div></div></div></body></html>
|
||||||
@@ -0,0 +1,72 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"hair_style": 1,
|
||||||
|
"hair_style_name": "椭圆",
|
||||||
|
"timestamp": "13:50:11",
|
||||||
|
"elapsed_s": 7.94,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25875,
|
||||||
|
"vram_after_mb": 25889,
|
||||||
|
"vram_delta_mb": 14,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/hair_style_1_椭圆.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"hair_style": 2,
|
||||||
|
"hair_style_name": "花瓣",
|
||||||
|
"timestamp": "13:50:19",
|
||||||
|
"elapsed_s": 8.04,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25889,
|
||||||
|
"vram_after_mb": 28337,
|
||||||
|
"vram_delta_mb": 2448,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/hair_style_2_花瓣.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"hair_style": 3,
|
||||||
|
"hair_style_name": "心形",
|
||||||
|
"timestamp": "13:50:27",
|
||||||
|
"elapsed_s": 7.77,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28337,
|
||||||
|
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|
||||||
|
"vram_delta_mb": 18,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/hair_style_3_心形.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"hair_style": 4,
|
||||||
|
"hair_style_name": "直线",
|
||||||
|
"timestamp": "13:50:35",
|
||||||
|
"elapsed_s": 7.64,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28355,
|
||||||
|
"vram_after_mb": 28333,
|
||||||
|
"vram_delta_mb": -22,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/hair_style_4_直线.jpg"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"plan": "Bplus",
|
||||||
|
"hair_style": 5,
|
||||||
|
"hair_style_name": "波浪",
|
||||||
|
"timestamp": "13:50:43",
|
||||||
|
"elapsed_s": 8.26,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28333,
|
||||||
|
"vram_after_mb": 25885,
|
||||||
|
"vram_delta_mb": -2448,
|
||||||
|
"image_path": "/home/ubuntu/hair/benchmark_out/iface2_female_Bplus/hair_style_5_波浪.jpg"
|
||||||
|
}
|
||||||
|
]
|
||||||
File diff suppressed because one or more lines are too long
@@ -0,0 +1,562 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"round": 1,
|
||||||
|
"test_id": "iface1",
|
||||||
|
"test_name": "接口1-测量",
|
||||||
|
"timestamp": "13:36:27",
|
||||||
|
"elapsed_s": 0.37,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25303,
|
||||||
|
"vram_after_mb": 25425,
|
||||||
|
"vram_free_before_mb": 6818,
|
||||||
|
"vram_free_after_mb": 6696,
|
||||||
|
"vram_delta_mb": 122,
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
"298802": 1137
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 1,
|
||||||
|
"test_id": "iface2f",
|
||||||
|
"test_name": "接口2-女-椭圆",
|
||||||
|
"timestamp": "13:36:35",
|
||||||
|
"elapsed_s": 7.54,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25425,
|
||||||
|
"vram_after_mb": 25887,
|
||||||
|
"vram_free_before_mb": 6696,
|
||||||
|
"vram_free_after_mb": 6234,
|
||||||
|
"vram_delta_mb": 462,
|
||||||
|
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|
||||||
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"858": 3242,
|
||||||
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|
||||||
|
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|
||||||
|
"298802": 1137
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 1,
|
||||||
|
"test_id": "iface2m",
|
||||||
|
"test_name": "接口2-男-椭圆",
|
||||||
|
"timestamp": "13:36:39",
|
||||||
|
"elapsed_s": 4.11,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
"vram_free_after_mb": 3738,
|
||||||
|
"vram_delta_mb": 2496,
|
||||||
|
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|
||||||
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|
||||||
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|
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|
||||||
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|
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|
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|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 1,
|
||||||
|
"test_id": "iface3",
|
||||||
|
"test_name": "接口3-B端生发",
|
||||||
|
"timestamp": "13:36:42",
|
||||||
|
"elapsed_s": 3.12,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
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|
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|
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|
||||||
|
"vram_free_after_mb": 3706,
|
||||||
|
"vram_delta_mb": 32,
|
||||||
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|
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|
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|
||||||
|
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|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 2,
|
||||||
|
"test_id": "iface1",
|
||||||
|
"test_name": "接口1-测量",
|
||||||
|
"timestamp": "13:36:42",
|
||||||
|
"elapsed_s": 0.08,
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
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|
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|
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|
||||||
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|
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|
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|
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||||||
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|
||||||
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|
||||||
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|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 2,
|
||||||
|
"test_id": "iface2f",
|
||||||
|
"test_name": "接口2-女-椭圆",
|
||||||
|
"timestamp": "13:36:50",
|
||||||
|
"elapsed_s": 7.51,
|
||||||
|
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|
||||||
|
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|
||||||
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|
||||||
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|
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|
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|
||||||
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"vram_free_after_mb": 3768,
|
||||||
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"vram_delta_mb": -62,
|
||||||
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|
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|
||||||
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|
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|
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|
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|
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|
||||||
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|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 2,
|
||||||
|
"test_id": "iface2m",
|
||||||
|
"test_name": "接口2-男-椭圆",
|
||||||
|
"timestamp": "13:36:54",
|
||||||
|
"elapsed_s": 4.0,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28353,
|
||||||
|
"vram_after_mb": 28353,
|
||||||
|
"vram_free_before_mb": 3768,
|
||||||
|
"vram_free_after_mb": 3768,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
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|
||||||
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|
||||||
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|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 2,
|
||||||
|
"test_id": "iface3",
|
||||||
|
"test_name": "接口3-B端生发",
|
||||||
|
"timestamp": "13:36:57",
|
||||||
|
"elapsed_s": 3.27,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28353,
|
||||||
|
"vram_after_mb": 28353,
|
||||||
|
"vram_free_before_mb": 3768,
|
||||||
|
"vram_free_after_mb": 3768,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 3,
|
||||||
|
"test_id": "iface1",
|
||||||
|
"test_name": "接口1-测量",
|
||||||
|
"timestamp": "13:36:58",
|
||||||
|
"elapsed_s": 0.07,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28353,
|
||||||
|
"vram_after_mb": 28353,
|
||||||
|
"vram_free_before_mb": 3768,
|
||||||
|
"vram_free_after_mb": 3768,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 3,
|
||||||
|
"test_id": "iface2f",
|
||||||
|
"test_name": "接口2-女-椭圆",
|
||||||
|
"timestamp": "13:37:05",
|
||||||
|
"elapsed_s": 7.63,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28353,
|
||||||
|
"vram_after_mb": 25855,
|
||||||
|
"vram_free_before_mb": 3768,
|
||||||
|
"vram_free_after_mb": 6266,
|
||||||
|
"vram_delta_mb": -2498,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8492,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 12492,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 3,
|
||||||
|
"test_id": "iface2m",
|
||||||
|
"test_name": "接口2-男-椭圆",
|
||||||
|
"timestamp": "13:37:09",
|
||||||
|
"elapsed_s": 4.1,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25855,
|
||||||
|
"vram_after_mb": 28351,
|
||||||
|
"vram_free_before_mb": 6266,
|
||||||
|
"vram_free_after_mb": 3770,
|
||||||
|
"vram_delta_mb": 2496,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 12492,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 3,
|
||||||
|
"test_id": "iface3",
|
||||||
|
"test_name": "接口3-B端生发",
|
||||||
|
"timestamp": "13:37:13",
|
||||||
|
"elapsed_s": 3.13,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28351,
|
||||||
|
"vram_after_mb": 28351,
|
||||||
|
"vram_free_before_mb": 3770,
|
||||||
|
"vram_free_after_mb": 3770,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 4,
|
||||||
|
"test_id": "iface1",
|
||||||
|
"test_name": "接口1-测量",
|
||||||
|
"timestamp": "13:37:13",
|
||||||
|
"elapsed_s": 0.07,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28351,
|
||||||
|
"vram_after_mb": 28351,
|
||||||
|
"vram_free_before_mb": 3770,
|
||||||
|
"vram_free_after_mb": 3770,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 4,
|
||||||
|
"test_id": "iface2f",
|
||||||
|
"test_name": "接口2-女-椭圆",
|
||||||
|
"timestamp": "13:37:20",
|
||||||
|
"elapsed_s": 7.32,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28351,
|
||||||
|
"vram_after_mb": 28337,
|
||||||
|
"vram_free_before_mb": 3770,
|
||||||
|
"vram_free_after_mb": 3784,
|
||||||
|
"vram_delta_mb": -14,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 4,
|
||||||
|
"test_id": "iface2m",
|
||||||
|
"test_name": "接口2-男-椭圆",
|
||||||
|
"timestamp": "13:37:24",
|
||||||
|
"elapsed_s": 4.21,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28337,
|
||||||
|
"vram_after_mb": 28337,
|
||||||
|
"vram_free_before_mb": 3784,
|
||||||
|
"vram_free_after_mb": 3784,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 4,
|
||||||
|
"test_id": "iface3",
|
||||||
|
"test_name": "接口3-B端生发",
|
||||||
|
"timestamp": "13:37:28",
|
||||||
|
"elapsed_s": 3.18,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28337,
|
||||||
|
"vram_after_mb": 28337,
|
||||||
|
"vram_free_before_mb": 3784,
|
||||||
|
"vram_free_after_mb": 3784,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 5,
|
||||||
|
"test_id": "iface1",
|
||||||
|
"test_name": "接口1-测量",
|
||||||
|
"timestamp": "13:37:28",
|
||||||
|
"elapsed_s": 0.08,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28337,
|
||||||
|
"vram_after_mb": 28337,
|
||||||
|
"vram_free_before_mb": 3784,
|
||||||
|
"vram_free_after_mb": 3784,
|
||||||
|
"vram_delta_mb": 0,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": false
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 5,
|
||||||
|
"test_id": "iface2f",
|
||||||
|
"test_name": "接口2-女-椭圆",
|
||||||
|
"timestamp": "13:37:35",
|
||||||
|
"elapsed_s": 7.43,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28337,
|
||||||
|
"vram_after_mb": 25855,
|
||||||
|
"vram_free_before_mb": 3784,
|
||||||
|
"vram_free_after_mb": 6266,
|
||||||
|
"vram_delta_mb": -2482,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8476,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 12492,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 5,
|
||||||
|
"test_id": "iface2m",
|
||||||
|
"test_name": "接口2-男-椭圆",
|
||||||
|
"timestamp": "13:37:39",
|
||||||
|
"elapsed_s": 4.07,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 25855,
|
||||||
|
"vram_after_mb": 28351,
|
||||||
|
"vram_free_before_mb": 6266,
|
||||||
|
"vram_free_after_mb": 3770,
|
||||||
|
"vram_delta_mb": 2496,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 12492,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"round": 5,
|
||||||
|
"test_id": "iface3",
|
||||||
|
"test_name": "接口3-B端生发",
|
||||||
|
"timestamp": "13:37:43",
|
||||||
|
"elapsed_s": 3.11,
|
||||||
|
"success": true,
|
||||||
|
"code": 0,
|
||||||
|
"error": null,
|
||||||
|
"vram_before_mb": 28351,
|
||||||
|
"vram_after_mb": 28383,
|
||||||
|
"vram_free_before_mb": 3770,
|
||||||
|
"vram_free_after_mb": 3738,
|
||||||
|
"vram_delta_mb": 32,
|
||||||
|
"procs_before": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 14988,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_after": {
|
||||||
|
"858": 3242,
|
||||||
|
"24879": 8490,
|
||||||
|
"271640": 15020,
|
||||||
|
"298802": 1585
|
||||||
|
},
|
||||||
|
"procs_changed": true
|
||||||
|
}
|
||||||
|
]
|
||||||
@@ -0,0 +1,87 @@
|
|||||||
|
nohup: ignoring input
|
||||||
|
轮换测试：4 个接口 × 5 轮 = 20 次调用
|
||||||
|
测试图片：/home/ubuntu/hair/image/girl_img/girl13.jpg
|
||||||
|
|
||||||
|
|
||||||
|
============================================================
|
||||||
|
第 1/5 轮
|
||||||
|
============================================================
|
||||||
|
|
||||||
|
[1/5] 接口1-测量 ...
|
||||||
|
→ ✓ code=0 time=0.4s vram=25303→25425MB (Δ+122) ⚠模型换出!
|
||||||
|
|
||||||
|
[1/5] 接口2-女-椭圆 ...
|
||||||
|
→ ✓ code=0 time=7.5s vram=25425→25887MB (Δ+462) ⚠模型换出!
|
||||||
|
|
||||||
|
[1/5] 接口2-男-椭圆 ...
|
||||||
|
→ ✓ code=0 time=4.1s vram=25887→28383MB (Δ+2496) ⚠模型换出!
|
||||||
|
|
||||||
|
[1/5] 接口3-B端生发 ...
|
||||||
|
→ ✓ code=0 time=3.1s vram=28383→28415MB (Δ+32) ⚠模型换出!
|
||||||
|
|
||||||
|
============================================================
|
||||||
|
第 2/5 轮
|
||||||
|
============================================================
|
||||||
|
|
||||||
|
[2/5] 接口1-测量 ...
|
||||||
|
→ ✓ code=0 time=0.1s vram=28415→28415MB (Δ+0)
|
||||||
|
|
||||||
|
[2/5] 接口2-女-椭圆 ...
|
||||||
|
→ ✓ code=0 time=7.5s vram=28415→28353MB (Δ-62) ⚠模型换出!
|
||||||
|
|
||||||
|
[2/5] 接口2-男-椭圆 ...
|
||||||
|
→ ✓ code=0 time=4.0s vram=28353→28353MB (Δ+0)
|
||||||
|
|
||||||
|
[2/5] 接口3-B端生发 ...
|
||||||
|
→ ✓ code=0 time=3.3s vram=28353→28353MB (Δ+0)
|
||||||
|
|
||||||
|
============================================================
|
||||||
|
第 3/5 轮
|
||||||
|
============================================================
|
||||||
|
|
||||||
|
[3/5] 接口1-测量 ...
|
||||||
|
→ ✓ code=0 time=0.1s vram=28353→28353MB (Δ+0)
|
||||||
|
|
||||||
|
[3/5] 接口2-女-椭圆 ...
|
||||||
|
→ ✓ code=0 time=7.6s vram=28353→25855MB (Δ-2498) ⚠模型换出!
|
||||||
|
|
||||||
|
[3/5] 接口2-男-椭圆 ...
|
||||||
|
→ ✓ code=0 time=4.1s vram=25855→28351MB (Δ+2496) ⚠模型换出!
|
||||||
|
|
||||||
|
[3/5] 接口3-B端生发 ...
|
||||||
|
→ ✓ code=0 time=3.1s vram=28351→28351MB (Δ+0)
|
||||||
|
|
||||||
|
============================================================
|
||||||
|
第 4/5 轮
|
||||||
|
============================================================
|
||||||
|
|
||||||
|
[4/5] 接口1-测量 ...
|
||||||
|
→ ✓ code=0 time=0.1s vram=28351→28351MB (Δ+0)
|
||||||
|
|
||||||
|
[4/5] 接口2-女-椭圆 ...
|
||||||
|
→ ✓ code=0 time=7.3s vram=28351→28337MB (Δ-14) ⚠模型换出!
|
||||||
|
|
||||||
|
[4/5] 接口2-男-椭圆 ...
|
||||||
|
→ ✓ code=0 time=4.2s vram=28337→28337MB (Δ+0)
|
||||||
|
|
||||||
|
[4/5] 接口3-B端生发 ...
|
||||||
|
→ ✓ code=0 time=3.2s vram=28337→28337MB (Δ+0)
|
||||||
|
|
||||||
|
============================================================
|
||||||
|
第 5/5 轮
|
||||||
|
============================================================
|
||||||
|
|
||||||
|
[5/5] 接口1-测量 ...
|
||||||
|
→ ✓ code=0 time=0.1s vram=28337→28337MB (Δ+0)
|
||||||
|
|
||||||
|
[5/5] 接口2-女-椭圆 ...
|
||||||
|
→ ✓ code=0 time=7.4s vram=28337→25855MB (Δ-2482) ⚠模型换出!
|
||||||
|
|
||||||
|
[5/5] 接口2-男-椭圆 ...
|
||||||
|
→ ✓ code=0 time=4.1s vram=25855→28351MB (Δ+2496) ⚠模型换出!
|
||||||
|
|
||||||
|
[5/5] 接口3-B端生发 ...
|
||||||
|
→ ✓ code=0 time=3.1s vram=28351→28383MB (Δ+32) ⚠模型换出!
|
||||||
|
|
||||||
|
✅ 完成！/home/ubuntu/hair/benchmark_out/rotation/rotation_results.json
|
||||||
|
📄 报告：/home/ubuntu/hair/benchmark_out/rotation/rotation_report.html
|
||||||
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Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user