colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
44 lines
1.6 KiB
Python
Executable File
44 lines
1.6 KiB
Python
Executable File
import os
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import sys
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from modules import modelloader, devices
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from modules.shared import opts
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from modules.upscaler import Upscaler, UpscalerData
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from modules.upscaler_utils import upscale_with_model
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class UpscalerHAT(Upscaler):
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def __init__(self, dirname):
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self.name = "HAT"
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self.scalers = []
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self.user_path = dirname
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super().__init__()
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for file in self.find_models(ext_filter=[".pt", ".pth"]):
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name = modelloader.friendly_name(file)
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scale = 4 # TODO: scale might not be 4, but we can't know without loading the model
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scaler_data = UpscalerData(name, file, upscaler=self, scale=scale)
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self.scalers.append(scaler_data)
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def do_upscale(self, img, selected_model):
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try:
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model = self.load_model(selected_model)
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except Exception as e:
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print(f"Unable to load HAT model {selected_model}: {e}", file=sys.stderr)
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return img
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model.to(devices.device_esrgan) # TODO: should probably be device_hat
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return upscale_with_model(
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model,
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img,
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tile_size=opts.ESRGAN_tile, # TODO: should probably be HAT_tile
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tile_overlap=opts.ESRGAN_tile_overlap, # TODO: should probably be HAT_tile_overlap
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)
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def load_model(self, path: str):
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if not os.path.isfile(path):
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raise FileNotFoundError(f"Model file {path} not found")
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return modelloader.load_spandrel_model(
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path,
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device=devices.device_esrgan, # TODO: should probably be device_hat
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expected_architecture='HAT',
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)
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