Instructions to use xfcghj/AR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xfcghj/AR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xfcghj/AR", 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 mesh_16frames_sequence.png from xfcghj/AR: direct link, hf CLI and curl.
- Browser
- Download file 159 kB
-
https://huggingface.co/xfcghj/AR/resolve/main/mesh_16frames_sequence.png
- Command line
-
hf download hf://xfcghj/AR/mesh_16frames_sequence.png
-
curl -L -o mesh_16frames_sequence.png https://huggingface.co/xfcghj/AR/resolve/main/mesh_16frames_sequence.png
159 kB

- Xet hash:
- 583fe2b6e7c0fbfeba2c8ae39eea254e94a392c25b41fe234361de84cef15e8e
- Size of remote file:
- 159 kB
- SHA256:
- 15bbeba6d7bed513fd6c6e18860b3b243026e8fdc2fa51b1d9fd7f5b9a2f33b7
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