Commit
•
95554d6
1
Parent(s):
bf94d78
UI suggestions (#1)
Browse files- UI suggestions (ebfc6ec41b43646f2131766ac1ce56e973f0bea7)
- Update app.py (f45b4488b9b4cd3c2d936d17496afc95040535e2)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
app.py
CHANGED
@@ -51,7 +51,7 @@ def predict(prompt, seed=42, randomize_seed=False, guidance_scale=5.0, num_infer
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width=WIDTH
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).images[0]
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return export_to_gif(split_image(image, 4), "flux.gif", fps=4), seed
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demo = gr.Interface(fn=predict, inputs="text", outputs="image")
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@@ -60,6 +60,7 @@ css="""
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margin: 0 auto;
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max-width: 520px;
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}
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"""
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examples = [
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"a cat waving its paws in the air",
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@@ -69,40 +70,15 @@ examples = [
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("Create GIFs with Flux-dev. Based on @fofr's [tweet](https://x.com/fofrAI/status/1828910395962343561).")
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gr.Markdown("For better results include a description of the motion in your prompt")
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with gr.Row():
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prompt = gr.Text(label="Prompt", show_label=False, max_lines=1, placeholder="Enter your prompt")
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submit = gr.Button("Submit", scale=0)
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with gr.Accordion("Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance Scale",
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minimum=1,
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maximum=15,
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step=0.1,
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value=3.5,
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=1,
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maximum=50,
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step=1,
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value=28,
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)
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output = gr.Image(label="GIF", show_label=False)
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gr.Examples(
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examples=examples,
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fn=predict,
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@@ -110,12 +86,38 @@ with gr.Blocks(css=css) as demo:
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outputs=[output, seed],
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cache_examples="lazy"
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)
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gr.on(
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triggers=[submit.click, prompt.submit],
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fn=predict,
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inputs=[prompt, seed, randomize_seed, guidance_scale, num_inference_steps],
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outputs = [output, seed]
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)
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demo.launch()
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width=WIDTH
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).images[0]
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return export_to_gif(split_image(image, 4), "flux.gif", fps=4), output_stills, seed
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demo = gr.Interface(fn=predict, inputs="text", outputs="image")
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margin: 0 auto;
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max-width: 520px;
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}
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#stills{max-height:160px}
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"""
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examples = [
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"a cat waving its paws in the air",
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("# FLUX Gif Generator")
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gr.Markdown("Create GIFs with Flux-dev. Based on @fofr's [tweet](https://x.com/fofrAI/status/1828910395962343561).")
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gr.Markdown("For better results include a description of the motion in your prompt")
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with gr.Row():
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prompt = gr.Text(label="Prompt", show_label=False, max_lines=1, placeholder="Enter your prompt")
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submit = gr.Button("Submit", scale=0)
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output = gr.Image(label="GIF", show_label=False)
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output_stills = gr.Image(label="stills", show_label=False, elem_id="stills")
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gr.Examples(
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examples=examples,
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fn=predict,
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outputs=[output, seed],
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cache_examples="lazy"
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)
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with gr.Accordion("Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance Scale",
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minimum=1,
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maximum=15,
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step=0.1,
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value=3.5,
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=1,
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maximum=50,
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step=1,
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value=28,
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)
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gr.on(
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triggers=[submit.click, prompt.submit],
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fn=predict,
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inputs=[prompt, seed, randomize_seed, guidance_scale, num_inference_steps],
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outputs = [output, output_stills, seed]
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)
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demo.launch()
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