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Duplicate from Alashazam/Harmony
Browse filesCo-authored-by: Allakhazam <Alashazam@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +12 -0
- app.py +45 -0
.gitattributes
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README.md
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---
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title: Harmony Prompts
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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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duplicated_from: Alashazam/Harmony
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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 gradio
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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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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("Portrait plus", "models/wavymulder/portraitplus", "portrait+ style"),
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Model("CF25", "models/gsdf/Counterfeit-V2.5", "anime style"),
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Model("vintedois", "models/22h/vintedois-diffusion-v0-1", "vintedois style"),
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Model("dreamlike", "models/dreamlike-art/dreamlike-diffusion-1.0","dreamlike style"),
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#Model("Orange Mix","models/WarriorMama777/OrangeMixs", "OrangeMixs style"),
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Model("GTA5","models/ItsJayQz/GTA5_Artwork_Diffusion", "GTA5 style")
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]
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model1=[]
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model2=[]
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model3=[]
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for i in range(len(models)):
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model3.append(models[i].name)
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model1.append(gradio.Interface.load(models[i].path))
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model2.append(models[i].prefix)
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def process1(prompt, modelSelected):
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if (modelSelected==''):
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modelSelected = "Marvel"
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model_idx=model3.index(modelSelected)
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prompt+=", in "+model2[model_idx]
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image_return = model1[model_idx](prompt)
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return image_return
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sandbox = gradio.Interface(fn=process1,
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inputs=[gradio.Textbox(label="Enter Prompt:"), gradio.Dropdown(model3)],
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outputs=[gradio.Image(label="Produced Image")],
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title='Text to Image',
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examples=[["Portrait close up, Elvis Presley, concert hall in the background", "GTA5"],
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["Marvel Blackwidow portrait close up. building city background", "Marvel"],
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["A white rabbit wizard, Hogwart University, Castle in the background", "dreamlike"]])
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sandbox.queue(concurrency_count=20).launch()
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