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 TripoSG/scripts/__pycache__/inference_vae.cpython-310.pyc from xfcghj/AR: direct link, hf CLI and curl.
- Browser
- Download file 2.07 kB
-
https://huggingface.co/xfcghj/AR/resolve/main/TripoSG/scripts/__pycache__/inference_vae.cpython-310.pyc
- Command line
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hf download hf://xfcghj/AR/TripoSG/scripts/__pycache__/inference_vae.cpython-310.pyc
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curl -L -o inference_vae.cpython-310.pyc https://huggingface.co/xfcghj/AR/resolve/main/TripoSG/scripts/__pycache__/inference_vae.cpython-310.pyc
2.07 kB
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