Text-to-Image
Diffusers
Safetensors
flow-matching
pyramidal-unet
256x256
ettin-150m
from-scratch
ra
udit
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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download .gitattributes from AiArtLab/Ra: direct link, hf CLI and curl.
- Browser
- Download file 405 Bytes
-
https://huggingface.co/AiArtLab/Ra/resolve/main/.gitattributes
- Command line
-
hf download hf://AiArtLab/Ra/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/AiArtLab/Ra/resolve/main/.gitattributes
405 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.pth filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.npy filter=lfs diff=lfs merge=lfs -text | |
| *.parquet filter=lfs diff=lfs merge=lfs -text | |
| *.png filter=lfs diff=lfs merge=lfs -text | |
| *.jpg filter=lfs diff=lfs merge=lfs -text | |
| docs/presentation.pdf filter=lfs diff=lfs merge=lfs -text | |