Spaces:
Running
on
Zero
Running
on
Zero
added sliders
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ from torchvision import transforms
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# from huggingface_hub import login
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# login()
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-
controlnet_conditioning_scale = 1.0
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controlnet = ControlNetModel.from_pretrained(
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"briaai/ControlNet-Canny",
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@@ -46,13 +46,13 @@ def get_canny_filter(image):
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canny_image = Image.fromarray(image)
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return canny_image
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def process(input_image, prompt):
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# resize input_image to 1024x1024
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input_image = resize_image(input_image)
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canny_image = get_canny_filter(input_image)
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images = pipe(
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prompt,image=canny_image, controlnet_conditioning_scale=controlnet_conditioning_scale,
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).images
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return [canny_image,images[0]]
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@@ -70,12 +70,14 @@ with block:
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with gr.Column():
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input_image = gr.Image(sources=None, type="pil") # None for upload, ctrl+v and webcam
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prompt = gr.Textbox(label="Prompt")
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run_button = gr.Button(value="Run")
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with gr.Column():
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result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery", columns=[2], height='auto')
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ips = [input_image, prompt]
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run_button.click(fn=process, inputs=ips, outputs=[result_gallery])
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block.launch(debug = True)
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# from huggingface_hub import login
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# login()
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# controlnet_conditioning_scale = 1.0
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controlnet = ControlNetModel.from_pretrained(
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"briaai/ControlNet-Canny",
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canny_image = Image.fromarray(image)
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return canny_image
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def process(input_image, prompt, num_steps, controlnet_conditioning_scale):
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# resize input_image to 1024x1024
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input_image = resize_image(input_image)
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canny_image = get_canny_filter(input_image)
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images = pipe(
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prompt,image=canny_image, num_inference_steps=num_steps, controlnet_conditioning_scale=controlnet_conditioning_scale,
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).images
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return [canny_image,images[0]]
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with gr.Column():
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input_image = gr.Image(sources=None, type="pil") # None for upload, ctrl+v and webcam
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prompt = gr.Textbox(label="Prompt")
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num_steps = gr.Slider(label="Number of steps", minimum=25, maximum=100, value=50, step=1)
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controlnet_conditioning_scale = gr.Slider(label="ControlNet conditioning scale", minimum=0.1, maximum=2.0, value=1.0, step=0.05)
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run_button = gr.Button(value="Run")
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with gr.Column():
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result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery", columns=[2], height='auto')
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ips = [input_image, prompt, num_steps, controlnet_conditioning_scale]
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run_button.click(fn=process, inputs=ips, outputs=[result_gallery])
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block.launch(debug = True)
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