Instructions to use hugaagg/IR_expeiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hugaagg/IR_expeiment with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hugaagg/IR_expeiment", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 308 Bytes
2ecc7ab | 1 2 3 4 5 6 7 8 9 10 | from setuptools import setup, find_packages
setup(
name='basicsr',
version='1.4.2',
description='CodeFormer version of BasicSR',
packages=find_packages(), # 让它自己找当前目录下的 basicsr
ext_modules=[], # 关键:不编译任何扩展
zip_safe=False
) |