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import os | |
import gradio as gr | |
API_KEY=os.environ.get('HUGGING_FACE_HUB_TOKEN', None) | |
article = """--- | |
This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator).""" | |
import gradio as gr | |
article = """---This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator).""" | |
MODLS=[ | |
"models/ItsJayQz/Marvel_WhatIf_Diffusion", | |
"models/DGSpitzer/Cyberpunk-Anime-Diffusion", | |
"models/DGSpitzer/Guan-Yu-Diffusion", | |
"models/wavymulder/portraitplus", | |
"models/nitrosocke/classic-anim-diffusion", | |
"models/22h/vintedois-diffusion-v0-1", | |
"models/dreamlike-art/dreamlike-diffusion-1.0", | |
"models/stabilityai/stable-diffusion-2-1" | |
] | |
TXT="AlStable Demo" | |
def prediction(input_choice): | |
return gr.Image(input_choice) | |
def prediction(model_choice, input): | |
modl = MODLS[model_choice] | |
return modl | |
sandbox = gr.Interface( | |
fn=prediction, | |
inputs=gr.inputs.Dropdown(MODLS), | |
outputs=gr.Image(), | |
title=TXT, | |
description=TXT, | |
article=article, | |
api_key=API_KEY | |
) | |
sandbox.queue(concurrency_count=20).launch() | |