Instructions to use no3/kat-at3-beta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use no3/kat-at3-beta1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("no3/kat-at3-beta1", 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
- Xet hash:
- 26d13927c165757be9e6ca89c2c281427670a254c847a9f544a9d833dea2e646
- Size of remote file:
- 335 MB
- SHA256:
- 7f2ea884fc1c54d80f6f9b4e9864ff7709570cdeea127fb376bf25b9be7b21c9
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