non negative prompt
Browse files
app.py
CHANGED
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@@ -22,11 +22,10 @@ MAX_IMAGE_SIZE = 1024
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@spaces.GPU
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-
def infer(prompt,
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image = pipeline(
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prompt=prompt,
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negative_prompt=f'Negative prompt: avoid multiple versions of Xavy, avoid distorted facial features, malformed hands, excessive or broken gadgets, unrealistic proportions in the body or technology, extra limbs. {negative_prompt}',
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# guidance_scale=guidance_scale,
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# num_inference_steps=num_inference_steps,
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width=width,
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@@ -99,7 +98,7 @@ with gr.Blocks(css=css) as demo:
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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=
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)
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height = gr.Slider(
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@@ -107,7 +106,7 @@ with gr.Blocks(css=css) as demo:
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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=
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)
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with gr.Row():
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@@ -136,7 +135,7 @@ with gr.Blocks(css=css) as demo:
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn=infer,
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inputs=[prompt,
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outputs=[result]
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)
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@spaces.GPU
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+
def infer(prompt, height, width):
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image = pipeline(
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prompt=prompt,
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# guidance_scale=guidance_scale,
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# num_inference_steps=num_inference_steps,
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width=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=2000, # Replace with defaults that work for your model
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)
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height = gr.Slider(
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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=200, # Replace with defaults that work for your model
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)
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with gr.Row():
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn=infer,
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+
inputs=[prompt, height, width],
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outputs=[result]
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)
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