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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)."""
models = [
"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"
]
custom_model = "models/dreamlike-art/dreamlike-diffusion-1.0"
def selectModel(message, models):
message = message.lower()
return models
sandbox = gr.Interface.load(
fn= selectModel,
title="AlStable sandbox text to img",
inputs = ["text", gr.Dropdown(models)],
outputs = "image",
description="""Demo for <a href="https://huggingface.co./stabilityai/stable-diffusion-2-1">AlStable</a> Stable Diffusion model.""",
article=article,
api_key=API_KEY
)
sandbox.queue(concurrency_count=20).launch()
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