teo input
Browse files
app.py
CHANGED
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@@ -28,8 +28,6 @@ def infer(
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negative_prompt,
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seed,
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randomize_seed,
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width,
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height,
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guidance_scale,
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num_inference_steps,
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progress=gr.Progress(track_tqdm=True),
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@@ -114,30 +112,13 @@ with gr.Blocks(css=css) as demo:
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024, # Replace with defaults that work for your model
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024, # Replace with defaults that work for your model
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)
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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=0.0,
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maximum=10.0,
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step=0.1,
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value=
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)
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num_inference_steps = gr.Slider(
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@@ -145,7 +126,7 @@ with gr.Blocks(css=css) as demo:
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minimum=1,
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maximum=50,
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step=1,
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value=
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)
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gr.Examples(examples=examples, inputs=[prompt1, prompt2])
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@@ -158,8 +139,6 @@ with gr.Blocks(css=css) as demo:
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negative_prompt,
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seed,
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randomize_seed,
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width,
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height,
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guidance_scale,
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num_inference_steps,
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],
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negative_prompt,
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seed,
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randomize_seed,
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guidance_scale,
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num_inference_steps,
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progress=gr.Progress(track_tqdm=True),
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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=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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minimum=1,
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maximum=50,
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step=1,
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value=50, # Replace with defaults that work for your model
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)
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gr.Examples(examples=examples, inputs=[prompt1, prompt2])
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negative_prompt,
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seed,
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randomize_seed,
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guidance_scale,
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num_inference_steps,
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],
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