Instructions to use no3/kat-wd-1.4-beta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use no3/kat-wd-1.4-beta2 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-wd-1.4-beta2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 72ad2fd33caaa0f20c7afbaf9eb56d39af1dce94de8fe23ccc83c2a60e5f52d6
- Size of remote file:
- 1.36 GB
- SHA256:
- 228061313d75e838f17294d70060e46a900a5aa13db13e7d0d1b00cda575c373
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.