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Add option for using fp8_e8m0fnu for model weights. #7733

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Merged
comfyanonymous merged 1 commit into from
Apr 22, 2025
Merged

Add option for using fp8_e8m0fnu for model weights. #7733

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1 change: 1 addition & 0 deletions comfy/cli_args.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,7 @@ def __call__(self, parser, namespace, values, option_string=None):
fpunet_group.add_argument("--fp16-unet", action="store_true", help="Run the diffusion model in fp16")
fpunet_group.add_argument("--fp8_e4m3fn-unet", action="store_true", help="Store unet weights in fp8_e4m3fn.")
fpunet_group.add_argument("--fp8_e5m2-unet", action="store_true", help="Store unet weights in fp8_e5m2.")
fpunet_group.add_argument("--fp8_e8m0fnu-unet", action="store_true", help="Store unet weights in fp8_e8m0fnu.")

fpvae_group = parser.add_mutually_exclusive_group()
fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.")
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2 changes: 2 additions & 0 deletions comfy/model_management.py
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Expand Up @@ -725,6 +725,8 @@ def unet_dtype(device=None, model_params=0, supported_dtypes=[torch.float16, tor
return torch.float8_e4m3fn
if args.fp8_e5m2_unet:
return torch.float8_e5m2
if args.fp8_e8m0fnu_unet:
return torch.float8_e8m0fnu

fp8_dtype = None
if weight_dtype in FLOAT8_TYPES:
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