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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()
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