Spaces:
Sleeping
Sleeping
Feat: Initial commit to prod
Browse files- README.md +14 -12
- app.py +86 -0
- requirements.txt +4 -0
README.md
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---
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title: GhibhiGenerator
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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title: GhibhiGenerator
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emoji: 🎨
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colorFrom: yellow
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colorTo: purple
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sdk: gradio
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sdk_version: 4.38.1
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app_file: app.py
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pinned: false
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license: agpl-3.0
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short_description: Turn your images into Ghibli style!
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import random, gradio as gr
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from atelier_generator import AtelierGenerator
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client = AtelierGenerator(gradio=True, wm_text="GhibhiGenerator! by NithiyaShri")
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gr_css = """
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footer {
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display: none !important;
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}
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.image-frame.svelte-rrgd5g img {
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height: 640px;
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object-fit: contain;
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}
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.grid-wrap.svelte-eynlr2.svelte-eynlr2 {
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overflow-y: auto;
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}
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"""
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gr_thm = gr.themes.Default(
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primary_hue=gr.themes.colors.rose,
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secondary_hue=gr.themes.colors.rose,
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neutral_hue=gr.themes.colors.zinc
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)
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lora_list = {
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'NithiyaShri/studio-ghibli': 'studio-ghibli',
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'NithiyaShri/anime-plus': 'anime-plus',
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'NithiyaShri/softserve-anime': 'softserve-anime'
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}
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# Initialize a cache dictionary outside the function
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caption_cache = {}
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def GhibhiGenerator(src, lora, mem, progress = gr.Progress()):
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progress(0.1, "Preparing image (stage 1 of 3)...")
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size, _, _ = client.size_checker(src)
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# Check if the caption is already cached
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if src in caption_cache:
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prompt = caption_cache[src]
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else:
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progress(0.5, f"Processing {size} image (stage 2 of 3)...")
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prompt = client.image_caption(src)
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caption_cache[src] = prompt
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progress(0.8, f"Rendering {size} image (stage 3 of 3)...")
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result = client.image_variation(src, prompt, image_size=size, strength=0.33, lora_flux=lora_list.get(lora))
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if result:
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mem.insert(0, result)
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return mem
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else:
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gr.Warning('Something went wrong! Please try again.')
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return mem
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with gr.Blocks(analytics_enabled=False, title='GhibhiGenerator by NithiyaShri', css=gr_css, theme=gr_thm) as demo:
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gr.Markdown("## <br><center>GhibhiGenerator - Transform your images to Ghibli style!")
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gr.Markdown("<center>Copyright (C) 2025 Nithiya Shri. All rights reserved")
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with gr.Row():
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with gr.Column():
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with gr.Column(variant='panel'):
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gr.Markdown("## <center>📸 Upload Your Image!")
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src = gr.Image(type='filepath', label='Source Image', height=640, sources=['upload'])
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with gr.Column(variant='panel'):
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lst = gr.Radio(choices=lora_list.keys(), value=list(lora_list.keys())[0], label='Select a style:')
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run = gr.Button("GhibhiGenerator!", variant='stop')
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with gr.Column():
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with gr.Column(variant='panel'):
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gr.Markdown("## <center>🎨 GhibhiGenerator It!")
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res = gr.Gallery(label='Result Image', height=814.19)
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mem = gr.State([])
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gr.Markdown("<br><center>Disclaimer: Due to huge demand, image processing might take longer than expected.<br>")
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run.click(
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inputs=[src, lst, mem],
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outputs=res,
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fn=GhibhiGenerator
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)
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demo.launch(inbrowser=True)
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requirements.txt
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gradio==4.38.1
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fastapi==0.112.4
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pydantic==2.10.6
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atelier-generator
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