Merge pull request #8948 from hitomi/master
Fix --realesrgan-models-path and --ldsr-models-path not working
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commit
17cce45613
@ -25,22 +25,28 @@ class UpscalerLDSR(Upscaler):
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yaml_path = os.path.join(self.model_path, "project.yaml")
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old_model_path = os.path.join(self.model_path, "model.pth")
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new_model_path = os.path.join(self.model_path, "model.ckpt")
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safetensors_model_path = os.path.join(self.model_path, "model.safetensors")
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local_model_paths = self.find_models(ext_filter=[".ckpt", ".safetensors"])
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local_ckpt_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.ckpt")]), None)
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local_safetensors_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.safetensors")]), None)
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local_yaml_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("project.yaml")]), None)
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if os.path.exists(yaml_path):
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statinfo = os.stat(yaml_path)
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if statinfo.st_size >= 10485760:
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print("Removing invalid LDSR YAML file.")
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os.remove(yaml_path)
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if os.path.exists(old_model_path):
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print("Renaming model from model.pth to model.ckpt")
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os.rename(old_model_path, new_model_path)
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if os.path.exists(safetensors_model_path):
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model = safetensors_model_path
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if local_safetensors_path is not None and os.path.exists(local_safetensors_path):
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model = local_safetensors_path
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else:
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model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
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file_name="model.ckpt", progress=True)
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yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path,
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file_name="project.yaml", progress=True)
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model = local_ckpt_path if local_ckpt_path is not None else load_file_from_url(url=self.model_url, model_dir=self.model_path, file_name="model.ckpt", progress=True)
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yaml = local_yaml_path if local_yaml_path is not None else load_file_from_url(url=self.yaml_url, model_dir=self.model_path, file_name="project.yaml", progress=True)
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try:
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return LDSR(model, yaml)
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@ -9,7 +9,7 @@ from realesrgan import RealESRGANer
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from modules.upscaler import Upscaler, UpscalerData
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from modules.shared import cmd_opts, opts
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from modules import modelloader
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class UpscalerRealESRGAN(Upscaler):
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def __init__(self, path):
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@ -23,7 +23,15 @@ class UpscalerRealESRGAN(Upscaler):
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self.enable = True
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self.scalers = []
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scalers = self.load_models(path)
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local_model_paths = self.find_models(ext_filter=[".pth"])
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for scaler in scalers:
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if scaler.local_data_path.startswith("http"):
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filename = modelloader.friendly_name(scaler.local_data_path)
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local = next(iter([local_model for local_model in local_model_paths if local_model.endswith(filename + '.pth')]), None)
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if local:
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scaler.local_data_path = local
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if scaler.name in opts.realesrgan_enabled_models:
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self.scalers.append(scaler)
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@ -64,7 +72,9 @@ class UpscalerRealESRGAN(Upscaler):
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print(f"Unable to find model info: {path}")
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return None
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info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_path, progress=True)
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if info.local_data_path.startswith("http"):
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info.local_data_path = load_file_from_url(url=info.data_path, model_dir=self.model_path, progress=True)
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return info
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except Exception as e:
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print(f"Error making Real-ESRGAN models list: {e}", file=sys.stderr)
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