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from fastapi import FastAPI | |
import gradio as gr | |
import torch | |
from diffusers import DiffusionPipeline | |
import uvicorn | |
from diffusers import AutoPipelineForImage2Image | |
description = "Image generation with GPT-2" | |
title = "IMAGE GENERATION MACHINE" | |
pipeline = AutoPipelineForImage2Image.from_pretrained( | |
"runwayml/stable-diffusion-v1-5", | |
torch_dtype=torch.float16, | |
# use_safetensors=True, | |
)#.to('cuda') | |
gr.Interface.from_pipeline(pipeline) | |
interface.launch(share = True) |