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Update app.py
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app.py
CHANGED
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@@ -16,7 +16,7 @@ MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1024
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@spaces.GPU
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def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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@@ -55,8 +55,8 @@ with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(f"""
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#
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""")
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with gr.Row():
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@@ -134,7 +134,8 @@ with gr.Blocks(css=css) as demo:
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cache_examples=False
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)
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fn = infer,
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inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs = [result]
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MAX_IMAGE_SIZE = 1024
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@spaces.GPU
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def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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with gr.Column(elem_id="col-container"):
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gr.Markdown(f"""
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# AuraFlow demo
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Open source 5.6B parameters MMDiT model
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""")
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with gr.Row():
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cache_examples=False
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)
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gr.on(
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triggers=[run_button.click, prompt.submit, negative_prompt.submit],
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fn = infer,
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inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs = [result]
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