Instructions to use Luo-Yihong/yoso_pixart512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luo-Yihong/yoso_pixart512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Luo-Yihong/yoso_pixart512", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download overview.jpg from Luo-Yihong/yoso_pixart512: direct link, hf CLI and curl.
- Browser
- Download file 5.93 MB
-
https://huggingface.co/Luo-Yihong/yoso_pixart512/resolve/main/overview.jpg
- Command line
-
hf download hf://Luo-Yihong/yoso_pixart512/overview.jpg
-
curl -L -o overview.jpg https://huggingface.co/Luo-Yihong/yoso_pixart512/resolve/main/overview.jpg
5.93 MB

- Xet hash:
- a8b29acd28b9fa3db1f4e0e2a48dfff8a04e2e3c5441800b98823475538385d0
- Size of remote file:
- 5.93 MB
- SHA256:
- afd3523bbdc35efeb6673c0e08550894ef2d4a3176e877f69bfde954517993e1
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