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Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -51,7 +51,7 @@ prompt_input = gr.Textbox(label="Your Prompt", info="What the Minecraft Skin sho
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stable_diffusion_model_input = gr.Dropdown(['2', 'xl'], label="Stable Diffusion Model", info="Choose which Stable Diffusion Model to use, xl understands prompts better")
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num_inference_steps_input = gr.Number(label="Number of Inference Steps", precision=0, value=25)
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guidance_scale_input = gr.Number(minimum=0.1, value=7.5, label="Guidance Scale", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference")
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num_images_per_prompt_input = gr.
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model_precision_type_input = gr.Dropdown(["fp16", "fp32"], value="fp16", label="Model Precision Type", info="The precision type to load the model, like fp16 which is faster, or fp32 which gives better results")
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output_image_name_input = gr.Textbox(label="Output Image Name", info="The name of the file of the output image skin, keep the .png", value="output-skin.png")
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verbose_input = gr.Checkbox(label="Verbose Output", info="Produce more detailed output while running", value=False)
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stable_diffusion_model_input = gr.Dropdown(['2', 'xl'], label="Stable Diffusion Model", info="Choose which Stable Diffusion Model to use, xl understands prompts better")
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num_inference_steps_input = gr.Number(label="Number of Inference Steps", precision=0, value=25)
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guidance_scale_input = gr.Number(minimum=0.1, value=7.5, label="Guidance Scale", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference")
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num_images_per_prompt_input = gr.Number(minimum=1, value=1, precision=0, label="Number of Images per Prompt", info="The number of images to make with the prompt")
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model_precision_type_input = gr.Dropdown(["fp16", "fp32"], value="fp16", label="Model Precision Type", info="The precision type to load the model, like fp16 which is faster, or fp32 which gives better results")
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output_image_name_input = gr.Textbox(label="Output Image Name", info="The name of the file of the output image skin, keep the .png", value="output-skin.png")
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verbose_input = gr.Checkbox(label="Verbose Output", info="Produce more detailed output while running", value=False)
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