app.py

import os
import spaces
import gradio as gr
import torch
import logging
from diffusers import DiffusionPipeline
import subprocess

# os.environ["CUDA_HOME"] = "/usr/local/cuda"
# CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
# CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
# subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
# subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
# subprocess.call([CUDA_TOOLKIT_FILE, "--toolkit"])
# os.environ["CUDA_HOME"] = "/usr/local/cuda"

pipe = DiffusionPipeline.from_pretrained("azaneko/HiDream-I1-Fast-nf4")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]