Instructions to use kandinskylab/Kandinsky-5.0-T2I-Lite-sft-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinskylab/Kandinsky-5.0-T2I-Lite-sft-Diffusers 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-T2I-Lite-sft-Diffusers", 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:
- 7a61ca41c5c6ee240f38204e93bea95bbf2baba19c17bd22334218a6d90e26f1
- Size of remote file:
- 221 kB
- SHA256:
- 80098a22c2d8a33786efd780541eb6bb0624c54d58e10420445d5049d786e3d7
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