Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -228,9 +228,16 @@ with gr.Blocks(theme=theme, css="style.css") as demo:
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model = gr.Text(label='Model', value='stabilityai/stable-diffusion-xl-base-1.0', placeholder='e.g. stabilityai/stable-diffusion-xl-base-1.0', info='Enter the HUB path for this model! The model must be converted to diffusers to work. We recommend SG161222/RealVisXL_V4.0 for realistic generations, for example. By default, SDXL 1.0 (stabilityai/stable-diffusion-xl-base-1.0) will be used.')
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vaecall = gr.Text(label='VAE', placeholder='e.g. madebyollin/sdxl-vae-fp16-fix', info='You can use the VAE that suits you best! Using an unfamiliar VAE or one that is not from the same base model mentioned above will result in errors or distorted images. You must enable "Use VAE" in advanced settings if you want to use a VAE.')
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controlnet_model = gr.Text(label='Controlnet', placeholder='e.g diffusers/controlnet-canny-sdxl-1.0')
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url = gr.Text(label='URL (Img2Img)', placeholder='e.g https://example.com/image.png')
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controlnet_img = gr.Text(label='URL (Controlnet)', placeholder='e.g https://example.com/image.png')
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controlnet_img2img = gr.Text(label='URL (Controlnet - IMG2IMG)', placeholder='e.g https://example.com/image.png')
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with gr.Row():
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prompt = gr.Text(
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placeholder="Input prompt",
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@@ -276,6 +283,11 @@ with gr.Blocks(theme=theme, css="style.css") as demo:
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value=0.7,
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visible=False,
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)
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with gr.Group():
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negative_prompt = gr.Text(
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placeholder="Input Negative Prompt",
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@@ -329,15 +341,6 @@ with gr.Blocks(theme=theme, css="style.css") as demo:
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step=0.1,
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value=5.0,
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)
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with gr.Row():
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num_inference_steps_base = gr.Slider(
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info="Number of denoising steps",
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label="Number of inference steps",
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minimum=10,
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maximum=100,
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step=1,
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value=25,
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)
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with gr.Row():
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controlnet_conditioning_scale = gr.Slider(
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info="controlnet_conditioning_scale",
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model = gr.Text(label='Model', value='stabilityai/stable-diffusion-xl-base-1.0', placeholder='e.g. stabilityai/stable-diffusion-xl-base-1.0', info='Enter the HUB path for this model! The model must be converted to diffusers to work. We recommend SG161222/RealVisXL_V4.0 for realistic generations, for example. By default, SDXL 1.0 (stabilityai/stable-diffusion-xl-base-1.0) will be used.')
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vaecall = gr.Text(label='VAE', placeholder='e.g. madebyollin/sdxl-vae-fp16-fix', info='You can use the VAE that suits you best! Using an unfamiliar VAE or one that is not from the same base model mentioned above will result in errors or distorted images. You must enable "Use VAE" in advanced settings if you want to use a VAE.')
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controlnet_model = gr.Text(label='Controlnet', placeholder='e.g diffusers/controlnet-canny-sdxl-1.0')
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controlnet_img = gr.Text(label='URL (Controlnet)', placeholder='e.g https://example.com/image.png')
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controlnet_img2img = gr.Text(label='URL (Controlnet - IMG2IMG)', placeholder='e.g https://example.com/image.png')
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num_inference_steps_base = gr.Slider(
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info="Number of denoising steps",
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label="Number of inference steps",
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minimum=10,
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maximum=100,
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step=1,
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value=25,
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)
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with gr.Row():
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prompt = gr.Text(
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placeholder="Input prompt",
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value=0.7,
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visible=False,
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)
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with gr.Group():
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gr.Markdown("""### Img2Img
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<small>To activate the use of Img2Img and submit an image as a reference for generation, you must check the 'Use Img2Img' checkbox.</small>"""
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)
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url = gr.Image(label="Target Image", type="filepath")
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with gr.Group():
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negative_prompt = gr.Text(
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placeholder="Input Negative Prompt",
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step=0.1,
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value=5.0,
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)
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with gr.Row():
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controlnet_conditioning_scale = gr.Slider(
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info="controlnet_conditioning_scale",
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