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Runtime error
Linoy Tsaban
commited on
Commit
·
bd0e99e
1
Parent(s):
4dfe276
Update app.py
Browse files
app.py
CHANGED
@@ -24,7 +24,11 @@ import gc
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import random
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from time import sleep
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-
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data = json.load(file)
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sdxl_loras_raw = [
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{
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@@ -147,16 +151,24 @@ def shuffle_lora(sdxl_loras, selected_lora=None):
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def check_if_removed(input_image):
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if(input_image is None):
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return gr.Row(visible=False), gr.Column(elem_classes="output_column"), gr.Image(value=None), gr.State(value=None), gr.
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else:
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return gr.Row(), gr.Column(), gr.Image(), None, gr.
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def block_if_removed(input_image):
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if(input_image is None):
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raise gr.Warning("Photo removed. Upload a new one!")
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def select_lora(selected_state: gr.SelectData):
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def edit(sdxl_loras,
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@@ -186,7 +198,7 @@ def edit(sdxl_loras,
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source_prompt= src_prompt,
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# source_prompt_2 = None,
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source_guidance_scale = src_cfg_scale,
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negative_prompt = "blurry,
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# negative_prompt_2 = None,
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num_inversion_steps = steps,
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skip_steps = skip,
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@@ -226,7 +238,7 @@ def edit(sdxl_loras,
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#lora_desc = f"### LoRA Used To Edit this Image: {lora_repo}' }"
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#lora_image = sdxl_loras[random_lora_index]["image"]
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return sega_out.images[0], wts, zs, do_inversion, gr.update(height=512), gr.Column(elem_classes="output_column_reverse"), gr.
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@@ -257,7 +269,16 @@ def crop_image(image):
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return image
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########r
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# demo #
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@@ -288,24 +309,25 @@ with gr.Blocks(css="style.css") as demo:
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lora_image = gr.Image(interactive=False, height=128, width=128, elem_id="lora_image", show_label=False, show_download_button=False)
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lora_desc = gr.Markdown()
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sega_edited_image = gr.Image(label=f"LEDITS Edited Image", interactive=False, elem_id="output_image", height=512, width=512)
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columns=6,
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elem_id="gallery",
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show_share_button=False
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)
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choose_gallery.select(
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fn=select_lora,
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queue=False
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)
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@@ -322,12 +344,17 @@ with gr.Blocks(css="style.css") as demo:
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do_inversion,
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gr_lora_index
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],
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outputs=[sega_edited_image, wts, zs, do_inversion, sega_edited_image, output_column,
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input_image.change(
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fn = check_if_removed,
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inputs = [input_image],
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outputs = [loaded_lora, output_column, sega_edited_image, gr_picked_lora,
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queue=False,
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show_progress=False
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).then(
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@@ -351,7 +378,11 @@ with gr.Blocks(css="style.css") as demo:
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do_inversion,
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gr_lora_index
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],
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outputs=[sega_edited_image, wts, zs, do_inversion, sega_edited_image, output_column,
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)
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gr.HTML('''
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<h1>Hugging Face at</h1>
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import random
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from time import sleep
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IMAGE_DATASET_DIR = Path("image_dataset") / f"train-{uuid4()}"
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IMAGE_DATASET_DIR.mkdir(parents=True, exist_ok=True)
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IMAGE_JSONL_PATH = IMAGE_DATASET_DIR / "metadata.jsonl"
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with open("sdxl_loras-Copy1.json", "r") as file:
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data = json.load(file)
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sdxl_loras_raw = [
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{
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def check_if_removed(input_image):
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if(input_image is None):
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return gr.Row(visible=False), gr.Column(elem_classes="output_column"), gr.Image(value=None), gr.State(value=None), gr.Column(visible=False)
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else:
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return gr.Row(), gr.Column(), gr.Image(), None, gr.Column()
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def block_if_removed(input_image):
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if(input_image is None):
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raise gr.Warning("Photo removed. Upload a new one!")
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def select_lora(selected_state: gr.SelectData, sdxl_loras):
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random_lora_index = selected_state.index
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lora_repo = sdxl_loras[random_lora_index]["repo"]
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lora_title = sdxl_loras[random_lora_index]["title"]
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lora_desc = f"""#### LoRA used to edit this image:
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## {lora_title}
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by `{lora_repo.split('/')[0]}`
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"""
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lora_image = sdxl_loras[random_lora_index]["image"]
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return random_lora_index, lora_image, lora_desc
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def edit(sdxl_loras,
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source_prompt= src_prompt,
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# source_prompt_2 = None,
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source_guidance_scale = src_cfg_scale,
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negative_prompt = "blurry, bad quality",
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# negative_prompt_2 = None,
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num_inversion_steps = steps,
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skip_steps = skip,
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#lora_desc = f"### LoRA Used To Edit this Image: {lora_repo}' }"
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#lora_image = sdxl_loras[random_lora_index]["image"]
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return sega_out.images[0], wts, zs, do_inversion, gr.update(height=512), gr.Column(elem_classes="output_column_reverse"), gr.Row(visible=True)
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return image
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def save_preferences(sdxl_loras, selected_lora, input_image, result_image):
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lora_id = sdxl_loras[selected_lora]["repo"]
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uuid = uuid4()
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input_image_path = IMAGE_DATASET_DIR / f"{uuid}-input.png"
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output_image_path = IMAGE_DATASET_DIR / f"{uuid}-output.png"
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Image.fromarray(input_image).save(input_image_path)
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Image.fromarray(result_image).save(output_image_path)
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with IMAGE_JSONL_PATH.open("a") as f:
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json.dump({"selected_lora": lora_id, "input_image":input_image_path.name, "result_image":output_image_path.name}, f)
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f.write("\n")
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########r
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# demo #
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lora_image = gr.Image(interactive=False, height=128, width=128, elem_id="lora_image", show_label=False, show_download_button=False)
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lora_desc = gr.Markdown()
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sega_edited_image = gr.Image(label=f"LEDITS Edited Image", interactive=False, elem_id="output_image", height=512, width=512)
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with gr.Column(visible=False) as buttons_area:
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with gr.Row(elem_id="buttons_area"):
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print_button = gr.HTML('<button onclick="window.print()" class="lg secondary svelte-cmf5ev" id="print" style="width: 100%;margin-bottom:0">Print 🖨️</button>')
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run_button = gr.Button("Regenerate with the same picture 🖼️🎲", elem_id="run_again")
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with gr.Accordion("Tired of randomizing? Pick your LoRA", open=False, elem_id="pick", ):
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choose_gallery = gr.Gallery(
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value=[(item["image"], item["title"]) for item in sdxl_loras_raw],
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allow_preview=False,
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columns=6,
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elem_id="gallery",
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show_share_button=False
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)
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choose_gallery.select(
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fn=select_lora,
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inputs=gr_sdxl_loras,
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outputs=[gr_picked_lora, lora_image, lora_desc],
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queue=False
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)
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do_inversion,
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gr_lora_index
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],
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outputs=[sega_edited_image, wts, zs, do_inversion, sega_edited_image, output_column, buttons_area]
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).then(
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fn=save_preferences,
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inputs=[gr_sdxl_loras, gr_lora_index, input_image, sega_edited_image],
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queue=False
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)
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input_image.change(
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fn = check_if_removed,
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inputs = [input_image],
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outputs = [loaded_lora, output_column, sega_edited_image, gr_picked_lora, buttons_area],
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queue=False,
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show_progress=False
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).then(
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do_inversion,
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gr_lora_index
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],
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outputs=[sega_edited_image, wts, zs, do_inversion, sega_edited_image, output_column, buttons_area]
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).then(
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fn=save_preferences,
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inputs=[gr_sdxl_loras, gr_lora_index, input_image, sega_edited_image],
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queue=False
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)
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gr.HTML('''
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<h1>Hugging Face at</h1>
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