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 docs/presentation.pdf from AiArtLab/Ra: direct link, hf CLI and curl.
- Browser
- Download file 954 kB
-
https://huggingface.co/AiArtLab/Ra/resolve/main/docs/presentation.pdf
- Command line
-
hf download hf://AiArtLab/Ra/docs/presentation.pdf
-
curl -L -o presentation.pdf https://huggingface.co/AiArtLab/Ra/resolve/main/docs/presentation.pdf
954 kB
- Xet hash:
- c3fe7ac518e7adaba114538e4fafab57d35a8ef4f62c06359b1f07ef6483dc44
- Size of remote file:
- 954 kB
- SHA256:
- e25cf92a5db610c2ff0ed13334eef2d22df88ae2d0378a3642afb4ace9fe65f6
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