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from diffusers import StableDiffusionPipeline
import torch
import gradio as gr
models=[
"ItsJayQz/Marvel_WhatIf_Diffusion",
"DGSpitzer/Cyberpunk-Anime-Diffusion",
"DGSpitzer/Guan-Yu-Diffusion",
"wavymulder/portraitplus",
"nitrosocke/classic-anim-diffusion",
"22h/vintedois-diffusion-v0-1",
"dreamlike-art/dreamlike-diffusion-1.0",
"stabilityai/stable-diffusion-2-1"
]
def TextToImage(Prompt,model):
model_id = model
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cpu")
prompt = Prompt
image = pipe(prompt).images[0]
return image
sandbox = gr.Interface(fn=TextToImage,
inputs=["text", gr.Dropdown(models)],
outputs="image",
title='AlStable Text to Image')
sandbox.launch() |