Instructions to use Z3R069/rayyan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Z3R069/rayyan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Z3R069/rayyan", 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 text_encoder/pytorch_model.bin from Z3R069/rayyan: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Z3R069/rayyan/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Z3R069/rayyan@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Z3R069/rayyan/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 245756ecb1772f0d60016b187f9cfb118c548a15e1856166775ed2d0f070e217
- Size of remote file:
- 492 MB
- SHA256:
- 39b4fcf1e442b3a5ae4de69864c2e4654ca8d03f4e2ab179027f3d8bebc9c186
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