Instructions to use kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kandinskylab/Kandinsky-5.0-T2V-Lite-sft-5s-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-T2V-Lite-sft-5s-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
- Xet hash:
- 17663813c5540124cd1a2dac2476a58bf107c86981ae5c60283c2a563906fb15
- Size of remote file:
- 3.86 GB
- SHA256:
- 111223d173e00bbee81cba1216fad28668df3476706b7fd26f4d5b50f8b3a507
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