Instructions to use kandinskylab/Kandinsky-5.0-I2I-Lite-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinskylab/Kandinsky-5.0-I2I-Lite-pretrain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kandinskylab/Kandinsky-5.0-I2I-Lite-pretrain", 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
-
Update README.md
Verified signaturee454269 -
Enhance model card for Kandinsky 5.0 Image Editing (#1)
Verified signature- Enhance model card for Kandinsky 5.0 Image Editing (d34ef59327d88571024511a09071eaecc5073f73) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>24e944b
-
Update README.md
Verified signature6736f9f
-
Upload folder using huggingface_hub
Verified signature6179292 -
initial commit
Verified signaturedc80df2