From 8b55a6607958f055396dc6f7a349a930333d00f1 Mon Sep 17 00:00:00 2001
From: xsl <youmiss@163.com>
Date: Sun, 10 Aug 2025 23:07:52 +0800
Subject: [PATCH] save code

---
 change_app.py               |  80 +++-
 change_new_only_change.json | 908 ++++++++++++++++++++++++++++++++++++
 man_cloth_new.jpg           | Bin 0 -> 43270 bytes
 3 files changed, 984 insertions(+), 4 deletions(-)
 create mode 100755 change_new_only_change.json
 create mode 100755 man_cloth_new.jpg

diff --git a/change_app.py b/change_app.py
index 49f2065..c5ef8fd 100644
--- a/change_app.py
+++ b/change_app.py
@@ -15,6 +15,9 @@ import redis
 # from check_img_body import is_thigh_visible
 import logging
 from config import *
+import websockets
+import asyncio
+import traceback
 
 
 APP_ROOT = os.path.dirname(os.path.abspath(__file__))
@@ -311,8 +314,75 @@ def change(human_name, cloth_name, c_width, c_height, cloth_url, human_url, no2)
     prompt_id = response.json()["prompt_id"]
 
 
-    # 2. 轮询队列，直到任务完成
+    async def listen_node_output(prompt_id, target_node_id):
+        uri = "ws://localhost:8188/ws"
+        async with websockets.connect(uri) as websocket:
+            await websocket.send(json.dumps({"prompt_id": prompt_id}))
+            
+            while True:
+                message = await websocket.recv()
+                
+                # 1. 处理二进制数据
+                if isinstance(message, bytes):
+                    try:
+                        message = message.decode("utf-8")
+                    except UnicodeDecodeError:
+                        print(f"[{datetime.now().strftime('%H:%M:%S')}] 收到二进制数据 (长度: {len(message)} bytes)")
+                        continue
+                
+                # 2. 解析JSON
+                try:
+                    data = json.loads(message)
+                    print(f"cur data {data}")
+                except json.JSONDecodeError:
+                    print(f"[{datetime.now().strftime('%H:%M:%S')}] 非JSON数据: {message[:100]}...")
+                    continue
+
+                if data.get("type") == "progress":
+                    pdata = data.get('data', {})
+                    print(f"cur progress {pdata}")
+                    # if value >= max:
+                    #     return f"finished value:{value} max:{max}"
+
+                if data.get("type") == "progress_state":
+                    nodes = data.get('data', {}).get('nodes', {})
+                    for node in nodes:
+                        if node.get("state", None) != 'finished':
+                            print(f"progress_state node:{node}")
+                
+                # 3. 输出运行状态
+                if data.get("type") == "status":
+                    print(f"[{datetime.now().strftime('%H:%M:%S')}] 系统状态: {data.get('data', {}).get('status', {})}")
+                    status = data.get('data', {}).get('status', None)
+                    print(f"statue:{status}")
+                    if status:
+                        exec_info = status.get('exec_info', None)
+                        print(f"exec_info:{exec_info}")
+                        if exec_info:
+                            queue_remaining = exec_info.get('queue_remaining', None)
+                            print(f"queue_remaining:{queue_remaining}")
+                            if queue_remaining == 0:
+                                return "process end"
+                    continue
+                    
+                if data.get("type") == "executing":
+                    node_id = data.get("data", {}).get("node")
+                    progress = data.get("data", {}).get("progress", 0)
+                    print(f"[{datetime.now().strftime('%H:%M:%S')}] 正在执行节点 {node_id} (进度: {progress:.0%})")
+                
+                # 4. 目标节点完成
+                if data.get("type") == "executed" and data.get("data", {}).get("node") == target_node_id:
+                    output = data.get("data", {}).get("output")
+                    print(f"[{datetime.now().strftime('%H:%M:%S')}] 节点 {target_node_id} 完成!")
+                    return output
+
+
+    # 调用方式保持不变
+    output = asyncio.run(listen_node_output(prompt_id, "104"))
+    print("最终输出:", output)
+
     while True:
+        # response = requests.post("http://localhost:8188/interrupt")
         queue = requests.get("http://localhost:8188/queue").json()
         # print(queue)
         if not queue["queue_running"] and not queue["queue_pending"]:
@@ -556,7 +626,9 @@ def do_change_cloth():
 
     try:
         return process_change_cloth(human_filename, cloth_filename, output_format, cloth_url, human_url, no2)
-    except:
+    except Exception as e:
+        traceback.print_exc()
+        print(f"错误详情：{e}")
         return jsonify({
             "ret":-1,
             "state": -1,
@@ -663,7 +735,7 @@ def change_cloth_base64():
         return jsonify({"ret":-1, 'msg': 'Failed to save cloth image'}), 500
     data['cloth_img'] = None
     
-    cloth_url = f"http://112.126.94.241:{remote_port}/static/imgs/{cloth_filename}"
+    cloth_url = f"http://112.126.94.241:{base64_test_port}/static/imgs/{cloth_filename}"
 
     data["human_url"] = human_url
     data["cloth_url"] = cloth_url
@@ -675,7 +747,7 @@ def change_cloth_base64():
     # 在内部调用第二个HTTP请求
     try:
         # 调用第二个API（可以是外部服务或自己的另一个端点）
-        response = requests.post(f'http://112.126.94.241:{remote_port}/do_change_cloth', json=data)
+        response = requests.post(f'http://112.126.94.241:{base64_test_port}/do_change_cloth', json=data)
         
         return Response(
             response=response.content,
diff --git a/change_new_only_change.json b/change_new_only_change.json
new file mode 100755
index 0000000..49306ad
--- /dev/null
+++ b/change_new_only_change.json
@@ -0,0 +1,908 @@
+{
+  "3": {
+    "inputs": {
+      "seed": 953738907275871,
+      "steps": 20,
+      "cfg": 1,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": [
+        "13",
+        0
+      ],
+      "positive": [
+        "17",
+        0
+      ],
+      "negative": [
+        "17",
+        1
+      ],
+      "latent_image": [
+        "17",
+        2
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "KSampler"
+    }
+  },
+  "6": {
+    "inputs": {
+      "text": "",
+      "clip": [
+        "12",
+        0
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "7": {
+    "inputs": {
+      "text": "",
+      "clip": [
+        "12",
+        0
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "8": {
+    "inputs": {
+      "samples": [
+        "3",
+        0
+      ],
+      "vae": [
+        "16",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE Decode"
+    }
+  },
+  "10": {
+    "inputs": {
+      "strength": 1.0000000000000002,
+      "strength_type": "multiply",
+      "conditioning": [
+        "11",
+        0
+      ],
+      "style_model": [
+        "79",
+        0
+      ],
+      "clip_vision_output": [
+        "20",
+        0
+      ]
+    },
+    "class_type": "StyleModelApply",
+    "_meta": {
+      "title": "Apply Style Model"
+    }
+  },
+  "11": {
+    "inputs": {
+      "guidance": 30,
+      "conditioning": [
+        "6",
+        0
+      ]
+    },
+    "class_type": "FluxGuidance",
+    "_meta": {
+      "title": "FluxGuidance"
+    }
+  },
+  "12": {
+    "inputs": {
+      "clip_name1": "flux/t5xxl_fp16.safetensors",
+      "clip_name2": "clip_l.safetensors",
+      "type": "flux",
+      "device": "default"
+    },
+    "class_type": "DualCLIPLoader",
+    "_meta": {
+      "title": "DualCLIPLoader"
+    }
+  },
+  "13": {
+    "inputs": {
+      "model": [
+        "75",
+        0
+      ]
+    },
+    "class_type": "DifferentialDiffusion",
+    "_meta": {
+      "title": "Differential Diffusion"
+    }
+  },
+  "16": {
+    "inputs": {
+      "vae_name": "ae.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "Load VAE"
+    }
+  },
+  "17": {
+    "inputs": {
+      "noise_mask": false,
+      "positive": [
+        "10",
+        0
+      ],
+      "negative": [
+        "7",
+        0
+      ],
+      "vae": [
+        "16",
+        0
+      ],
+      "pixels": [
+        "27",
+        1
+      ],
+      "mask": [
+        "27",
+        2
+      ]
+    },
+    "class_type": "InpaintModelConditioning",
+    "_meta": {
+      "title": "InpaintModelConditioning"
+    }
+  },
+  "20": {
+    "inputs": {
+      "crop": "center",
+      "clip_vision": [
+        "21",
+        0
+      ],
+      "image": [
+        "25",
+        0
+      ]
+    },
+    "class_type": "CLIPVisionEncode",
+    "_meta": {
+      "title": "CLIP Vision Encode"
+    }
+  },
+  "21": {
+    "inputs": {
+      "clip_name": "sigclip_vision_patch14_384.safetensors"
+    },
+    "class_type": "CLIPVisionLoader",
+    "_meta": {
+      "title": "Load CLIP Vision"
+    }
+  },
+  "22": {
+    "inputs": {
+      "image": "微信图片_20250810123345_95.jpg"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "Load Image"
+    }
+  },
+  "25": {
+    "inputs": {
+      "width": [
+        "94",
+        0
+      ],
+      "height": [
+        "94",
+        0
+      ],
+      "interpolation": "nearest",
+      "method": "keep proportion",
+      "condition": "always",
+      "multiple_of": 0,
+      "image": [
+        "22",
+        0
+      ]
+    },
+    "class_type": "ImageResize+",
+    "_meta": {
+      "title": "🔧 Image Resize"
+    }
+  },
+  "26": {
+    "inputs": {
+      "width": [
+        "94",
+        0
+      ],
+      "height": [
+        "94",
+        0
+      ],
+      "interpolation": "nearest",
+      "method": "keep proportion",
+      "condition": "always",
+      "multiple_of": 0,
+      "image": [
+        "61",
+        0
+      ]
+    },
+    "class_type": "ImageResize+",
+    "_meta": {
+      "title": "🔧 Image Resize"
+    }
+  },
+  "27": {
+    "inputs": {
+      "context_expand_pixels": 20,
+      "context_expand_factor": 1.0000000000000002,
+      "fill_mask_holes": true,
+      "blur_mask_pixels": 10,
+      "invert_mask": false,
+      "blend_pixels": 16,
+      "rescale_algorithm": "bicubic",
+      "mode": "ranged size",
+      "force_width": 1024,
+      "force_height": 1024,
+      "rescale_factor": 1.0000000000000002,
+      "min_width": 512,
+      "min_height": 512,
+      "max_width": 1800,
+      "max_height": 1800,
+      "padding": 32,
+      "image": [
+        "42",
+        0
+      ],
+      "mask": [
+        "30",
+        0
+      ],
+      "optional_context_mask": [
+        "40",
+        0
+      ]
+    },
+    "class_type": "InpaintCrop",
+    "_meta": {
+      "title": "(OLD 💀, use the new ✂️ Inpaint Crop node)"
+    }
+  },
+  "28": {
+    "inputs": {
+      "mask": [
+        "96",
+        0
+      ]
+    },
+    "class_type": "MaskToImage",
+    "_meta": {
+      "title": "Convert Mask to Image"
+    }
+  },
+  "29": {
+    "inputs": {
+      "width": [
+        "94",
+        0
+      ],
+      "height": [
+        "94",
+        0
+      ],
+      "interpolation": "nearest",
+      "method": "keep proportion",
+      "condition": "always",
+      "multiple_of": 0,
+      "image": [
+        "28",
+        0
+      ]
+    },
+    "class_type": "ImageResize+",
+    "_meta": {
+      "title": "🔧 Image Resize"
+    }
+  },
+  "30": {
+    "inputs": {
+      "channel": "red",
+      "image": [
+        "43",
+        0
+      ]
+    },
+    "class_type": "ImageToMask",
+    "_meta": {
+      "title": "Convert Image to Mask"
+    }
+  },
+  "34": {
+    "inputs": {
+      "rescale_algorithm": "bislerp",
+      "stitch": [
+        "27",
+        0
+      ],
+      "inpainted_image": [
+        "8",
+        0
+      ]
+    },
+    "class_type": "InpaintStitch",
+    "_meta": {
+      "title": "(OLD 💀, use the new ✂️ Inpaint Stitch node)"
+    }
+  },
+  "37": {
+    "inputs": {
+      "direction": "right",
+      "match_image_size": true,
+      "image1": [
+        "38",
+        0
+      ],
+      "image2": [
+        "57",
+        0
+      ]
+    },
+    "class_type": "ImageConcanate",
+    "_meta": {
+      "title": "Image Concatenate"
+    }
+  },
+  "38": {
+    "inputs": {
+      "mask": [
+        "71:2",
+        1
+      ]
+    },
+    "class_type": "MaskToImage",
+    "_meta": {
+      "title": "Convert Mask to Image"
+    }
+  },
+  "40": {
+    "inputs": {
+      "channel": "red",
+      "image": [
+        "37",
+        0
+      ]
+    },
+    "class_type": "ImageToMask",
+    "_meta": {
+      "title": "Convert Image to Mask"
+    }
+  },
+  "42": {
+    "inputs": {
+      "direction": "right",
+      "match_image_size": true,
+      "image1": [
+        "25",
+        0
+      ],
+      "image2": [
+        "26",
+        0
+      ]
+    },
+    "class_type": "ImageConcanate",
+    "_meta": {
+      "title": "Image Concatenate"
+    }
+  },
+  "43": {
+    "inputs": {
+      "direction": "right",
+      "match_image_size": true,
+      "image1": [
+        "59",
+        0
+      ],
+      "image2": [
+        "29",
+        0
+      ]
+    },
+    "class_type": "ImageConcanate",
+    "_meta": {
+      "title": "Image Concatenate"
+    }
+  },
+  "45": {
+    "inputs": {
+      "images": [
+        "42",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "57": {
+    "inputs": {
+      "brightness": -1,
+      "contrast": 0,
+      "saturation": 0,
+      "sharpness": 0,
+      "blur": 0,
+      "gaussian_blur": 0,
+      "edge_enhance": 0,
+      "detail_enhance": "false",
+      "image": [
+        "26",
+        0
+      ]
+    },
+    "class_type": "Image Filter Adjustments",
+    "_meta": {
+      "title": "Image Filter Adjustments"
+    }
+  },
+  "59": {
+    "inputs": {
+      "brightness": -1,
+      "contrast": 1.0000000000000002,
+      "saturation": 1.0000000000000002,
+      "sharpness": 1.0000000000000002,
+      "blur": 0,
+      "gaussian_blur": 48.1,
+      "edge_enhance": 0,
+      "detail_enhance": "false",
+      "image": [
+        "25",
+        0
+      ]
+    },
+    "class_type": "Image Filter Adjustments",
+    "_meta": {
+      "title": "Image Filter Adjustments"
+    }
+  },
+  "61": {
+    "inputs": {
+      "image": "微信图片_20250809133614_84.jpg"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "Load Image"
+    }
+  },
+  "75": {
+    "inputs": {
+      "model_path": "svdq-fp4_r32-flux.1-fill-dev.safetensors",
+      "cache_threshold": 0,
+      "attention": "nunchaku-fp16",
+      "cpu_offload": "auto",
+      "device_id": 0,
+      "data_type": "bfloat16",
+      "i2f_mode": "enabled"
+    },
+    "class_type": "NunchakuFluxDiTLoader",
+    "_meta": {
+      "title": "Nunchaku FLUX DiT Loader"
+    }
+  },
+  "79": {
+    "inputs": {
+      "style_model_name": "flux1-redux-dev.safetensors"
+    },
+    "class_type": "StyleModelLoader",
+    "_meta": {
+      "title": "Load Style Model"
+    }
+  },
+  "83": {
+    "inputs": {
+      "images": [
+        "29",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "84": {
+    "inputs": {
+      "images": [
+        "43",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "85": {
+    "inputs": {
+      "mask": [
+        "30",
+        0
+      ]
+    },
+    "class_type": "MaskPreview",
+    "_meta": {
+      "title": "MaskPreview"
+    }
+  },
+  "86": {
+    "inputs": {
+      "mask": [
+        "71:2",
+        1
+      ]
+    },
+    "class_type": "MaskPreview+",
+    "_meta": {
+      "title": "🔧 Mask Preview"
+    }
+  },
+  "87": {
+    "inputs": {
+      "images": [
+        "38",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "88": {
+    "inputs": {
+      "images": [
+        "37",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "89": {
+    "inputs": {
+      "images": [
+        "57",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "90": {
+    "inputs": {
+      "images": [
+        "59",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "91": {
+    "inputs": {
+      "images": [
+        "27",
+        1
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "93": {
+    "inputs": {
+      "mask": [
+        "27",
+        2
+      ]
+    },
+    "class_type": "MaskPreview",
+    "_meta": {
+      "title": "MaskPreview"
+    }
+  },
+  "94": {
+    "inputs": {
+      "value": 2048
+    },
+    "class_type": "PrimitiveInt",
+    "_meta": {
+      "title": "Int"
+    }
+  },
+  "95": {
+    "inputs": {
+      "detect_hand": "disable",
+      "detect_body": "enable",
+      "detect_face": "disable",
+      "resolution": 512,
+      "bbox_detector": "yolo_nas_m_fp16.onnx",
+      "pose_estimator": "dw-ll_ucoco_384.onnx",
+      "scale_stick_for_xinsr_cn": "disable",
+      "image": [
+        "61",
+        0
+      ]
+    },
+    "class_type": "DWPreprocessor",
+    "_meta": {
+      "title": "DWPose Estimator"
+    }
+  },
+  "96": {
+    "inputs": {
+      "cloth_len": "腰",
+      "line_len": 0.4000000000000001,
+      "cloth_short": true,
+      "kps": [
+        "95",
+        1
+      ]
+    },
+    "class_type": "RenderPeopleKpsMask",
+    "_meta": {
+      "title": "My RenderPeopleKps Mask"
+    }
+  },
+  "98": {
+    "inputs": {
+      "mask": [
+        "96",
+        0
+      ]
+    },
+    "class_type": "MaskPreview",
+    "_meta": {
+      "title": "MaskPreview"
+    }
+  },
+  "99": {
+    "inputs": {
+      "width": [
+        "108",
+        0
+      ],
+      "height": [
+        "107",
+        1
+      ],
+      "x": [
+        "109",
+        0
+      ],
+      "y": 0,
+      "image": [
+        "34",
+        0
+      ]
+    },
+    "class_type": "ImageCrop",
+    "_meta": {
+      "title": "Image Crop"
+    }
+  },
+  "102": {
+    "inputs": {
+      "filename_prefix": "my_test_out",
+      "images": [
+        "99",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  },
+  "104": {
+    "inputs": {
+      "image": [
+        "61",
+        0
+      ]
+    },
+    "class_type": "GetImageSize",
+    "_meta": {
+      "title": "Get Image Size"
+    }
+  },
+  "106": {
+    "inputs": {
+      "op": "Mul",
+      "a": [
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+      "b": [
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+    },
+    "class_type": "CM_IntBinaryOperation",
+    "_meta": {
+      "title": "IntBinaryOperation"
+    }
+  },
+  "107": {
+    "inputs": {
+      "image": [
+        "34",
+        0
+      ]
+    },
+    "class_type": "GetImageSize",
+    "_meta": {
+      "title": "Get Image Size"
+    }
+  },
+  "108": {
+    "inputs": {
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+      "a": [
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+        0
+      ],
+      "b": [
+        "104",
+        1
+      ]
+    },
+    "class_type": "CM_IntBinaryOperation",
+    "_meta": {
+      "title": "IntBinaryOperation"
+    }
+  },
+  "109": {
+    "inputs": {
+      "op": "Sub",
+      "a": [
+        "107",
+        0
+      ],
+      "b": [
+        "108",
+        0
+      ]
+    },
+    "class_type": "CM_IntBinaryOperation",
+    "_meta": {
+      "title": "IntBinaryOperation"
+    }
+  },
+  "119": {
+    "inputs": {
+      "anything": [
+        "10",
+        0
+      ]
+    },
+    "class_type": "easy cleanGpuUsed",
+    "_meta": {
+      "title": "Clean VRAM Used"
+    }
+  },
+  "120": {
+    "inputs": {
+      "anything": [
+        "10",
+        0
+      ]
+    },
+    "class_type": "easy clearCacheAll",
+    "_meta": {
+      "title": "Clear Cache All"
+    }
+  },
+  "124": {
+    "inputs": {
+      "images": [
+        "95",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
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+  },
+  "128": {
+    "inputs": {
+      "mask": [
+        "96",
+        0
+      ]
+    },
+    "class_type": "MaskPreview",
+    "_meta": {
+      "title": "MaskPreview"
+    }
+  },
+  "71:1": {
+    "inputs": {
+      "model_name": "GroundingDINO_SwinT_OGC (694MB)"
+    },
+    "class_type": "GroundingDinoModelLoader (segment anything)",
+    "_meta": {
+      "title": "GroundingDinoModelLoader (segment anything)"
+    }
+  },
+  "71:0": {
+    "inputs": {
+      "model_name": "sam_vit_h (2.56GB)"
+    },
+    "class_type": "SAMModelLoader (segment anything)",
+    "_meta": {
+      "title": "SAMModelLoader (segment anything)"
+    }
+  },
+  "71:2": {
+    "inputs": {
+      "prompt": "cloth",
+      "threshold": 0.30000000000000004,
+      "sam_model": [
+        "71:0",
+        0
+      ],
+      "grounding_dino_model": [
+        "71:1",
+        0
+      ],
+      "image": [
+        "25",
+        0
+      ]
+    },
+    "class_type": "GroundingDinoSAMSegment (segment anything)",
+    "_meta": {
+      "title": "GroundingDinoSAMSegment (segment anything)"
+    }
+  },
+  "71:3": {
+    "inputs": {
+      "images": [
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+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  }
+}
\ No newline at end of file
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