Instructions to use Yang-Tian/StereoWorld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yang-Tian/StereoWorld with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yang-Tian/StereoWorld", 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 StereoWorldInpaintModel/tokenizer/tokenizer.json from Yang-Tian/StereoWorld: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/Yang-Tian/StereoWorld/resolve/main/StereoWorldInpaintModel/tokenizer/tokenizer.json
- Command line
-
hf download hf://Yang-Tian/StereoWorld/StereoWorldInpaintModel/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yang-Tian/StereoWorld/resolve/main/StereoWorldInpaintModel/tokenizer/tokenizer.json
16.8 MB
- Xet hash:
- b18568fa25be7f79cbcfbe6663104438892f8e8052462a6e754e5f11e348a1e3
- Size of remote file:
- 16.8 MB
- SHA256:
- 5cacb9bb8c8b68463c20dea197a6f4cb1508bfc9178020802636fbda555e0d0d
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