Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -90,77 +90,72 @@ with gr.Blocks() as demo:
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placeholder="Enter your image description...",
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lines=4,
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height = gr.Slider(
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minimum=512,
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maximum=2048,
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value=1024,
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step=64,
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label="Height",
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)
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width = gr.Slider(
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minimum=512,
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maximum=2048,
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value=1024,
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step=64,
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label="Width",
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)
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with gr.Row():
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num_inference_steps = gr.Slider(
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minimum=1,
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maximum=20,
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value=9,
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step=1,
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label="Inference Steps",
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info="9 steps results in 8 DiT forwards",
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)
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with gr.Row():
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seed = gr.Number(
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label="Seed",
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value=42,
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precision=0,
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)
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randomize_seed = gr.Checkbox(
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label="Randomize Seed",
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value=True,
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)
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generate_btn = gr.Button("🚀 Generate", variant="primary", size="lg")
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with gr.Column(scale=1):
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output_image = gr.ImageSlider(
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label="Generated Image",
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type="pil",
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)
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label="Seed Used",
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interactive=False,
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)
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gr.Markdown("### 💡 Example Prompts")
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gr.Examples(
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examples=examples,
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inputs=[prompt],
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cache_examples=False,
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)
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gr.Markdown("Demo by [mrfakename](https://x.com/realmrfakename). Model by Alibaba. The model is licensed under Apache 2.0, you can use generated images commercially! Thanks to [multimodalart](https://huggingface.co/multimodalart) for the FA3 + AoTI enhancements/speedups")
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# Connect the generate button
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generate_btn.click(
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fn=generate_image,
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inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
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outputs=[output_image,
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)
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# Also allow generating by pressing Enter in the prompt box
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prompt.submit(
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fn=generate_image,
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inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
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outputs=[output_image,
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)
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if __name__ == "__main__":
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placeholder="Enter your image description...",
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lines=4,
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)
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with gr.Accordion("Advanced Settings", open=False):
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with gr.Row():
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height = gr.Slider(
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minimum=512,
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maximum=2048,
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value=1024,
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step=64,
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label="Height",
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)
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width = gr.Slider(
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minimum=512,
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maximum=2048,
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value=1024,
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step=64,
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label="Width",
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)
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with gr.Row():
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num_inference_steps = gr.Slider(
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minimum=1,
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maximum=20,
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value=9,
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step=1,
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label="Inference Steps",
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info="9 steps results in 8 DiT forwards",
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)
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with gr.Row():
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seed = gr.Number(
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label="Seed",
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value=42,
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precision=0,
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)
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randomize_seed = gr.Checkbox(
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label="Randomize Seed",
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value=True,
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)
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generate_btn = gr.Button("Generate", variant="primary", size="lg")
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with gr.Column(scale=1):
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output_image = gr.ImageSlider(
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label="Generated Image",
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type="pil",
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)
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gr.Examples(
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examples=examples,
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inputs=[prompt],
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cache_examples=False,
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)
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# Connect the generate button
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generate_btn.click(
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fn=generate_image,
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inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
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outputs=[output_image, seed],
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)
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# Also allow generating by pressing Enter in the prompt box
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prompt.submit(
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fn=generate_image,
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inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
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outputs=[output_image, seed],
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)
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if __name__ == "__main__":
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