Instructions to use scheissegalo/torben with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scheissegalo/torben with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("scheissegalo/torben", 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
Commit History
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (30079a40de8bee3d55e4a930b1bb76eea413df89) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>0940cc6
-
Upload 17 files
asda2cc4d23