Instructions to use rq0/rgbylr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rq0/rgbylr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rq0/rgbylr", dtype=torch.bfloat16, device_map="cuda") prompt = "rgbylr" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (5824da3a72c9777701056aa4468b0737ca5b1e84) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>dbd8e6a
-
Upload concept_images with huggingface_hub
a4dfee5 -
Upload with huggingface_hub
55e0205 -
Upload the model rgbylr
de08531 -
initial commit
fb1a53e