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Update app.py
Browse files
app.py
CHANGED
@@ -67,37 +67,54 @@ css = """
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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(" # Text-to-Image Gradio Template")
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run_button = gr.Button("Run", scale=0, variant="primary")
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result = gr.Image(label="Result", show_label=False)
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with gr.Accordion("Advanced Settings", open=False):
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=False,
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)
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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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with gr.Row():
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width = gr.Slider(
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@@ -116,22 +133,9 @@ with gr.Blocks(css=css) as demo:
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value=1024, # Replace with defaults that work for your model
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)
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guidance_scale = gr.Slider(
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label="Guidance scale",
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minimum=0.0,
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maximum=10.0,
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step=0.1,
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value=0.0, # Replace with defaults that work for your model
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)
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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=2, # Replace with defaults that work for your model
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)
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gr.Examples(examples=examples, inputs=[prompt])
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gr.on(
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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(" # Text-to-Image Gradio Template")
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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negative_prompt = gr.Text(
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=False,
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)
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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=42,
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)
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guidance_scale = gr.Slider(
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label="Guidance scale",
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minimum=0.0,
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maximum=10.0,
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step=0.1,
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value=7.0, # Replace with defaults that work for your model
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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=20, # Replace with defaults that work for your model
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)
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run_button = gr.Button("Run", scale=0, variant="primary")
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result = gr.Image(label="Result", show_label=False)
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with gr.Accordion("Advanced Settings", open=False):
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with gr.Row():
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width = gr.Slider(
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value=1024, # Replace with defaults that work for your model
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)
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gr.Examples(examples=examples, inputs=[prompt])
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gr.on(
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