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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 2c4e5273110833bc3f69daf28355c02f57146952daaff1cc7f0e7f47a4830355
- Size of remote file:
- 225 kB
- SHA256:
- ca5d57a61d6181768a4598fef7972406c5788025c34e1cb6a334d6a8e6a3c3d1
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