Instructions to use AiArtLab/ra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/ra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/ra", 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 vae/ae/__init__.py from AiArtLab/ra: direct link, hf CLI and curl.
- Browser
- Download file 148 Bytes
-
https://huggingface.co/AiArtLab/ra/resolve/main/vae/ae/__init__.py
- Command line
-
hf download hf://AiArtLab/ra/vae/ae/__init__.py
-
curl -L -o __init__.py https://huggingface.co/AiArtLab/ra/resolve/main/vae/ae/__init__.py
148 Bytes
| from .model import AEConfig, AutoEncoder, Encoder, FlowDecoder, Packing | |
| __all__ = ["AEConfig", "AutoEncoder", "Encoder", "FlowDecoder", "Packing"] | |