app.py

# pip install diffusers transformers torch

from diffusers import StableDiffusionPipeline
import torch

device = 'cuda' if torch.cuda.is_available() else 'cpu'

checkpoint = "Deci/DeciDiffusion-v1-0"
pipeline = StableDiffusionPipeline.from_pretrained(checkpoint, custom_pipeline=checkpoint, torch_dtype=torch.float16)
pipeline.unet = pipeline.unet.from_pretrained(checkpoint, subfolder='flexible_unet', torch_dtype=torch.float16)

pipeline = pipeline.to(device)

img = pipeline(prompt=['A photo of an astronaut riding a horse on Mars']).images[0]

import gradio as gr

gr.Interface.load("models/Deci/DeciDiffusion-v1-0").launch()