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Artiprocher
2025-11-14 19:05:26 +08:00
parent 5be5c32fe4
commit e3356556ee
215 changed files with 5504 additions and 482 deletions
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9
diffsynth/models/model_loader.py
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@@ -59,7 +59,7 @@ class ModelPool:
}
return vram_config
def auto_load_model(self, path, vram_config=None, vram_limit=None):
def auto_load_model(self, path, vram_config=None, vram_limit=None, clear_parameters=False):
print(f"Loading models from: {json.dumps(path, indent=4)}")
if vram_config is None:
vram_config = self.default_vram_config()
@@ -68,6 +68,7 @@ class ModelPool:
for config in MODEL_CONFIGS:
if config["model_hash"] == model_hash:
model = self.load_model_file(config, path, vram_config, vram_limit=vram_limit)
if clear_parameters: self.clear_parameters(model)
self.model.append(model)
model_name = config["model_name"]
self.model_name.append(model_name)
@@ -102,3 +103,9 @@ class ModelPool:
model = fetched_models
print(f"More than one {model_name} models are loaded: {fetched_model_paths}. Using {model_name} from {json.dumps(fetched_model_paths, indent=4)}.")
return model
def clear_parameters(self, model: torch.nn.Module):
for name, module in model.named_children():
self.clear_parameters(module)
for name, param in model.named_parameters(recurse=False):
setattr(model, name, None)