wangbo/ComfyUI
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add debug log

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strint 2025-10-16 21:42:02 +08:00
parent f40e00cb35
commit 2b222962c3
3 changed files with 7 additions and 0 deletions
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3
comfy/model_base.py
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@ -297,8 +297,11 @@ class BaseModel(torch.nn.Module):
if k.startswith(unet_prefix): if k.startswith(unet_prefix):
to_load[k[len(unet_prefix):]] = sd.pop(k) to_load[k[len(unet_prefix):]] = sd.pop(k)
logging.info(f"load model weights start, keys {keys}")
to_load = self.model_config.process_unet_state_dict(to_load) to_load = self.model_config.process_unet_state_dict(to_load)
logging.info(f"load model {self.model_config} weights process end, keys {keys}")
m, u = self.diffusion_model.load_state_dict(to_load, strict=False) m, u = self.diffusion_model.load_state_dict(to_load, strict=False)
logging.info(f"load model {self.model_config} weights end, keys {keys}")
if len(m) > 0: if len(m) > 0:
logging.warning("unet missing: {}".format(m)) logging.warning("unet missing: {}".format(m))

2
comfy/sd.py
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@ -1347,7 +1347,9 @@ def load_diffusion_model_state_dict(sd, model_options={}):
def load_diffusion_model(unet_path, model_options={}): def load_diffusion_model(unet_path, model_options={}):
sd = comfy.utils.load_torch_file(unet_path) sd = comfy.utils.load_torch_file(unet_path)
logging.info(f"load model start, path {unet_path}")
model = load_diffusion_model_state_dict(sd, model_options=model_options) model = load_diffusion_model_state_dict(sd, model_options=model_options)
logging.info(f"load model end, path {unet_path}")
if model is None: if model is None:
logging.error("ERROR UNSUPPORTED DIFFUSION MODEL {}".format(unet_path)) logging.error("ERROR UNSUPPORTED DIFFUSION MODEL {}".format(unet_path))
raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(unet_path, model_detection_error_hint(unet_path, sd))) raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(unet_path, model_detection_error_hint(unet_path, sd)))

2
nodes.py
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@ -922,7 +922,9 @@ class UNETLoader:
model_options["dtype"] = torch.float8_e5m2 model_options["dtype"] = torch.float8_e5m2
unet_path = folder_paths.get_full_path_or_raise("diffusion_models", unet_name) unet_path = folder_paths.get_full_path_or_raise("diffusion_models", unet_name)
logging.info(f"load unet node start, path {unet_path}")
model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options) model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options)
logging.info(f"load unet node end, path {unet_path}")
return (model,) return (model,)
class CLIPLoader: class CLIPLoader: