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Some fixes to previous pr. (#12339)

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comfyanonymous
2026-02-06 17:14:52 -08:00
committed by GitHub
parent 6a26328842
commit 039955c527
2 changed files with 7 additions and 5 deletions
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10
comfy/supported_models.py
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@@ -1025,10 +1025,6 @@ class Anima(supported_models_base.BASE):
supported_inference_dtypes = [torch.bfloat16, torch.float16, torch.float32]
def __init__(self, unet_config):
super().__init__(unet_config)
self.memory_usage_factor = (unet_config.get("model_channels", 2048) / 2048) * 0.95
def get_model(self, state_dict, prefix="", device=None):
out = model_base.Anima(self, device=device)
return out
@@ -1038,6 +1034,12 @@ class Anima(supported_models_base.BASE):
detect = comfy.text_encoders.hunyuan_video.llama_detect(state_dict, "{}qwen3_06b.transformer.".format(pref))
return supported_models_base.ClipTarget(comfy.text_encoders.anima.AnimaTokenizer, comfy.text_encoders.anima.te(**detect))
def set_inference_dtype(self, dtype, manual_cast_dtype, **kwargs):
self.memory_usage_factor = (self.unet_config.get("model_channels", 2048) / 2048) * 0.95
if dtype is torch.float16:
self.memory_usage_factor *= 1.4
return super().set_inference_dtype(dtype, manual_cast_dtype, **kwargs)
class CosmosI2VPredict2(CosmosT2IPredict2):
unet_config = {
"image_model": "cosmos_predict2",