MohamedRashad commited on
Commit
59a8e0f
1 Parent(s): 28b3af4

chore: Disable slicing and tiling in FluxPipeline

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -12,8 +12,8 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
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  good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=torch.bfloat16).to(device)
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  # pipe.enable_sequential_cpu_offload()
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- pipe.vae.enable_slicing()
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- pipe.vae.enable_tiling()
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  # pipe.to(torch.float16)
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  pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
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  good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=torch.bfloat16).to(device)
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  # pipe.enable_sequential_cpu_offload()
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+ # pipe.vae.enable_slicing()
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+ # pipe.vae.enable_tiling()
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  # pipe.to(torch.float16)
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  pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
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