Instructions to use eliftansusunar/xyz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eliftansusunar/xyz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eliftansusunar/xyz", 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 eliftansusunar/xyz: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/eliftansusunar/xyz/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://eliftansusunar/xyz/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eliftansusunar/xyz/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- dd1842da239b2dabd734afac4ec9ebab57f167a9d1fe7cac30b538b5ba94d353
- Size of remote file:
- 492 MB
- SHA256:
- a478f8548cd6f2d439dfdc9571bd718789eb8291eb35e950b31688442715b200
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