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Duplicate from blogclif/seven

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Co-authored-by: cliffordpadraig <[email protected]>

Files changed (3) hide show
  1. .gitattributes +34 -0
  2. README.md +13 -0
  3. app.py +41 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ title: Seven 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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+ pinned: true
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+ duplicated_from: blogclif/seven
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio
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+
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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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+
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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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+
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+ model1=[]
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+ model2=[]
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+ model3=[]
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+
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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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+
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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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+
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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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+ sandbox.queue(concurrency_count=20).launch()