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Runtime error
Runtime error
Linoy Tsaban
commited on
Commit
·
24b22ad
1
Parent(s):
4065064
Update app.py
Browse files
app.py
CHANGED
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@@ -35,9 +35,9 @@ def caption_image(input_image):
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generated_caption = blip_processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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return generated_caption, generated_caption
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def sample(zs, wts, attention_store, prompt_tar="", cfg_scale_tar=15, skip=36, eta=1):
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latents = wts[-1].expand(1, -1, -1, -1)
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img, attention_store = pipe(
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prompt=prompt_tar,
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init_latents=latents,
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guidance_scale=cfg_scale_tar,
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@@ -45,10 +45,10 @@ def sample(zs, wts, attention_store, prompt_tar="", cfg_scale_tar=15, skip=36, e
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# num_inference_steps=steps,
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# use_ddpm=True,
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# wts=wts.value,
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attention_store = attention_store,
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zs=zs,
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)
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return img.images[0], attention_store
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def reconstruct(
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@@ -59,6 +59,7 @@ def reconstruct(
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wts,
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zs,
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attention_store,
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do_reconstruction,
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reconstruction,
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reconstruct_button,
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@@ -79,8 +80,8 @@ def reconstruct(
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): # if image caption was not changed, run actual reconstruction
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tar_prompt = ""
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latents = wts[-1].expand(1, -1, -1, -1)
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reconstruction, attention_store = sample(
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zs, wts, attention_store=attention_store, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale
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)
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do_reconstruction = False
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return (
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@@ -130,7 +131,7 @@ def load_and_invert(
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## SEGA ##
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def edit(input_image,
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wts, zs, attention_store,
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tar_prompt,
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image_caption,
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steps,
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@@ -197,27 +198,27 @@ def edit(input_image,
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)
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latnets = wts[-1].expand(1, -1, -1, -1)
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sega_out, attention_store = pipe(prompt=tar_prompt,
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init_latents=latnets,
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guidance_scale = tar_cfg_scale,
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# num_images_per_prompt=1,
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# num_inference_steps=steps,
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# use_ddpm=True,
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# wts=wts.value,
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zs=zs, attention_store=attention_store, **editing_args)
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return sega_out.images[0], gr.update(visible=True), do_reconstruction, reconstruction, wts, zs, attention_store, do_inversion, show_share_button
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else: # if sega concepts were not added, performs regular ddpm sampling
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if do_reconstruction: # if ddpm sampling wasn't computed
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pure_ddpm_img, attention_store = sample(zs, wts, attention_store=attention_store, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale)
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reconstruction = pure_ddpm_img
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do_reconstruction = False
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return pure_ddpm_img, gr.update(visible=False), do_reconstruction, reconstruction, wts, zs, attention_store, do_inversion, show_share_button
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return reconstruction, gr.update(visible=False), do_reconstruction, reconstruction, wts, zs, attention_store, do_inversion, show_share_button
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def randomize_seed_fn(seed, is_random):
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@@ -461,6 +462,7 @@ with gr.Blocks(css="style.css") as demo:
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wts = gr.State()
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zs = gr.State()
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attention_store=gr.State()
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reconstruction = gr.State()
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do_inversion = gr.State(value=True)
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do_reconstruction = gr.State(value=True)
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@@ -697,6 +699,7 @@ with gr.Blocks(css="style.css") as demo:
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fn=edit,
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inputs=[input_image,
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wts, zs, attention_store,
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tar_prompt,
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image_caption,
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steps,
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@@ -716,7 +719,7 @@ with gr.Blocks(css="style.css") as demo:
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],
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outputs=[sega_edited_image, reconstruct_button, do_reconstruction, reconstruction, wts, zs,attention_store, do_inversion, share_btn_container])
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# .success(fn=update_gallery_display, inputs= [prev_output_image, sega_edited_image], outputs = [gallery, gallery, prev_output_image])
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generated_caption = blip_processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
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return generated_caption, generated_caption
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+
def sample(zs, wts, attention_store, text_cross_attention_maps, prompt_tar="", cfg_scale_tar=15, skip=36, eta=1):
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latents = wts[-1].expand(1, -1, -1, -1)
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img, attention_store, text_cross_attention_maps = pipe(
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prompt=prompt_tar,
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init_latents=latents,
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guidance_scale=cfg_scale_tar,
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# num_inference_steps=steps,
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# use_ddpm=True,
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# wts=wts.value,
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attention_store = attention_store, text_cross_attention_maps=text_cross_attention_maps,
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zs=zs,
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)
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return img.images[0], attention_store, text_cross_attention_maps
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def reconstruct(
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wts,
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zs,
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attention_store,
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text_cross_attention_maps,
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do_reconstruction,
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reconstruction,
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reconstruct_button,
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): # if image caption was not changed, run actual reconstruction
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tar_prompt = ""
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latents = wts[-1].expand(1, -1, -1, -1)
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reconstruction, attention_store, text_cross_attention_maps = sample(
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zs, wts, attention_store=attention_store, text_cross_attention_maps=text_cross_attention_maps,prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale
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)
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do_reconstruction = False
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return (
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## SEGA ##
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def edit(input_image,
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wts, zs, attention_store, text_cross_attention_maps,
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tar_prompt,
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image_caption,
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steps,
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)
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latnets = wts[-1].expand(1, -1, -1, -1)
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sega_out, attention_store, text_cross_attention_maps = pipe(prompt=tar_prompt,
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init_latents=latnets,
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guidance_scale = tar_cfg_scale,
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# num_images_per_prompt=1,
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# num_inference_steps=steps,
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# use_ddpm=True,
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# wts=wts.value,
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zs=zs, attention_store=attention_store, text_cross_attention_maps=text_cross_attention_maps, **editing_args)
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return sega_out.images[0], gr.update(visible=True), do_reconstruction, reconstruction, wts, zs, attention_store, text_cross_attention_maps, do_inversion, show_share_button
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else: # if sega concepts were not added, performs regular ddpm sampling
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if do_reconstruction: # if ddpm sampling wasn't computed
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pure_ddpm_img, attention_store, text_cross_attention_maps = sample(zs, wts, attention_store=attention_store, text_cross_attention_maps=text_cross_attention_maps, prompt_tar=tar_prompt, skip=skip, cfg_scale_tar=tar_cfg_scale)
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reconstruction = pure_ddpm_img
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do_reconstruction = False
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return pure_ddpm_img, gr.update(visible=False), do_reconstruction, reconstruction, wts, zs, attention_store, text_cross_attention_maps, do_inversion, show_share_button
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return reconstruction, gr.update(visible=False), do_reconstruction, reconstruction, wts, zs, attention_store, text_cross_attention_maps, do_inversion, show_share_button
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def randomize_seed_fn(seed, is_random):
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wts = gr.State()
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zs = gr.State()
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attention_store=gr.State()
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text_cross_attention_maps = gr.State()
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reconstruction = gr.State()
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do_inversion = gr.State(value=True)
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do_reconstruction = gr.State(value=True)
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fn=edit,
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inputs=[input_image,
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wts, zs, attention_store,
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text_cross_attention_maps,
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tar_prompt,
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image_caption,
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steps,
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],
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outputs=[sega_edited_image, reconstruct_button, do_reconstruction, reconstruction, wts, zs,attention_store, text_cross_attention_maps, do_inversion, share_btn_container])
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# .success(fn=update_gallery_display, inputs= [prev_output_image, sega_edited_image], outputs = [gallery, gallery, prev_output_image])
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