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Always set diffusion model to eval() mode. (#10331)

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comfyanonymous 2025-10-13 11:57:27 -07:00 committed by GitHub
parent d68ece7301
commit e693e4db6a
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1 changed files with 1 additions and 2 deletions
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comfy/model_base.py
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@ -138,6 +138,7 @@ class BaseModel(torch.nn.Module):
else:
operations = model_config.custom_operations
self.diffusion_model = unet_model(**unet_config, device=device, operations=operations)
self.diffusion_model.eval()
if comfy.model_management.force_channels_last():
self.diffusion_model.to(memory_format=torch.channels_last)
logging.debug("using channels last mode for diffusion model")
@ -669,7 +670,6 @@ class Lotus(BaseModel):
class StableCascade_C(BaseModel):
def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None):
super().__init__(model_config, model_type, device=device, unet_model=StageC)
self.diffusion_model.eval().requires_grad_(False)
def extra_conds(self, **kwargs):
out = {}
@ -698,7 +698,6 @@ class StableCascade_C(BaseModel):
class StableCascade_B(BaseModel):
def __init__(self, model_config, model_type=ModelType.STABLE_CASCADE, device=None):
super().__init__(model_config, model_type, device=device, unet_model=StageB)
self.diffusion_model.eval().requires_grad_(False)
def extra_conds(self, **kwargs):
out = {}