FLUX.1-dev

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multimodalart HF staff commited on Aug 1

Commit

40023fc

•

1 Parent(s): bfcac1a

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -12,7 +12,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
-@spaces.GPU()
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to("cuda")
     if randomize_seed:

 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
+@spaces.GPU(duration=190)
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to("cuda")
     if randomize_seed: