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Duplicate from AlStable/stable-diffusion-2-1
Browse filesCo-authored-by: clifford padraig <[email protected]>
- .gitattributes +34 -0
- README.md +13 -0
- app.py +47 -0
.gitattributes
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README.md
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---
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title: Stable Diffusion 2 1
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emoji: 🤗
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colorFrom: indigo
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colorTo: purple
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sdk: gradio
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sdk_version: 3.15.0
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app_file: app.py
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pinned: false
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duplicated_from: AlStable/stable-diffusion-2-1
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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 os
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import gradio as gr
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API_KEY=os.environ.get('HUGGING_FACE_HUB_TOKEN', None)
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article = """---
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This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator)."""
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class Model:
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def __init__(self, name, path="", prefix=""):
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self.name = name
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self.path = path
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self.prefix = prefix
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self.pipe_t2i = None
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self.pipe_i2i = None
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models = [
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Model("Marvel","models/ItsJayQz/Marvel_WhatIf_Diffusion", "whatif style"),
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Model("Cyberpunk Anime Diffusion", "models/DGSpitzer/Cyberpunk-Anime-Diffusion", "dgs illustration style"),
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Model("Guan Yu Diffusion", "models/DGSpitzer/Guan-Yu-Diffusion", "Guan-Yu style"),
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Model("Portrait plus", "models/wavymulder/portraitplus", "portrait+ style"),
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Model("classic Disney", "models/nitrosocke/classic-anim-diffusion", "classic disney style"),
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Model("SD21","models/stabilityai/stable-diffusion-2-1", "sd21 default style")
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]
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custom_model = "models/stabilityai/stable-diffusion-2-1"
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def selectModel(message):
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message = message.lower()
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for i in range(len(models)):
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if message.find(models[i].prefix)!=-1:
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c_model=models[i].path
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return c_model
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else:
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c_model=models[i].path
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return c_model
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sandbox = gr.Interface.load(
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fn= selectModel,
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name= custom_model,
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title="""AlStable sandbox""",
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inputs = gr.Textbox(label="Prompt", show_label=False, max_lines=2, placeholder="Enter your prompt", elem_id="input-prompt"),
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description="""Demo for <a href="https://huggingface.co/stabilityai/stable-diffusion-2-1">AlStable</a> Stable Diffusion model.""",
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article=article,
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api_key=API_KEY
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)
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sandbox.queue(concurrency_count=20).launch()
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