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
Download PART1/CodeFormer/basicsr/version.py from hugaagg/IR_expeiment: direct link, hf CLI and curl.
- Browser
- Download file 111 Bytes
-
https://huggingface.co/hugaagg/IR_expeiment/resolve/main/PART1/CodeFormer/basicsr/version.py
- Command line
-
hf download hf://hugaagg/IR_expeiment/PART1/CodeFormer/basicsr/version.py
-
curl -L -o version.py https://huggingface.co/hugaagg/IR_expeiment/resolve/main/PART1/CodeFormer/basicsr/version.py
111 Bytes
| # 这是一个伪造的版本文件,用于骗过 import 检查 | |
| __version__ = '1.4.2' | |
| __gitsha__ = 'unknown' |