Instructions to use kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-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-Pro-distilled-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-Pro-distilled-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
Download assets/KANDINSKY_LOGO_1_BLACK.png from kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 62 kB
-
https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers/resolve/main/assets/KANDINSKY_LOGO_1_BLACK.png
- Command line
-
hf download hf://kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers/assets/KANDINSKY_LOGO_1_BLACK.png
-
curl -L -o KANDINSKY_LOGO_1_BLACK.png https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Pro-distilled-5s-Diffusers/resolve/main/assets/KANDINSKY_LOGO_1_BLACK.png
62 kB
