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Disable omnigen2 fp16 on older pytorch versions. (#8672)

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comfyanonymous 2025-06-26 00:39:09 -07:00 committed by GitHub
parent 93a49a45de
commit a96e65df18
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2 changed files with 13 additions and 1 deletions
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7
comfy/model_management.py
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@ -1290,6 +1290,13 @@ def supports_fp8_compute(device=None):
return True
def extended_fp16_support():
# TODO: check why some models work with fp16 on newer torch versions but not on older
if torch_version_numeric < (2, 7):
return False
return True
def soft_empty_cache(force=False):
global cpu_state
if cpu_state == CPUState.MPS:

7
comfy/supported_models.py
View File

@ -1197,11 +1197,16 @@ class Omnigen2(supported_models_base.BASE):
unet_extra_config = {}
latent_format = latent_formats.Flux
supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32]
supported_inference_dtypes = [torch.bfloat16, torch.float32]
vae_key_prefix = ["vae."]
text_encoder_key_prefix = ["text_encoders."]
def __init__(self, unet_config):
super().__init__(unet_config)
if comfy.model_management.extended_fp16_support():
self.supported_inference_dtypes = [torch.float16] + self.supported_inference_dtypes
def get_model(self, state_dict, prefix="", device=None):
out = model_base.Omnigen2(self, device=device)
return out