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1 Parent(s): 578f864

Update switch_app.py

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  1. switch_app.py +9 -4
switch_app.py CHANGED
@@ -387,25 +387,30 @@ with gr.Blocks(css=css) as Kolors:
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  )
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  canny_button.click(
 
 
 
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  fn=infer_canny,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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  depth_button.click(
 
 
 
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  fn=infer_depth,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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  pose_button.click(
 
 
 
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  fn=infer_pose,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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- canny_button.click(switch_to_canny, outputs=[canny_button])
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- depth_button.click(switch_to_depth, outputs=[depth_button])
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- pose_button.click(switch_to_pose, outputs=[pose_button])
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-
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  Kolors.queue().launch(debug=True, share=True)
 
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  )
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  canny_button.click(
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+ fn=switch_to_canny,
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+ outputs=[canny_button]
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+ ).then(
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  fn=infer_canny,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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  depth_button.click(
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+ fn=switch_to_depth,
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+ outputs=[depth_button]
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+ ).then(
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  fn=infer_depth,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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  pose_button.click(
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+ fn=switch_to_pose,
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+ outputs=[pose_button]
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+ ).then(
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  fn=infer_pose,
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  inputs=[prompt, image, ipa_image, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, controlnet_conditioning_scale, control_guidance_end, strength, ip_scale],
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  outputs=[result, seed_used]
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  )
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  Kolors.queue().launch(debug=True, share=True)