Instructions to use kandinskylab/Kandinsky-5.0-T2V-Pro-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-Pro-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-Pro-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
Download text_encoder_2/tf_model.h5 from kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers/resolve/main/text_encoder_2/tf_model.h5
- Command line
-
hf download hf://kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers/text_encoder_2/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Pro-sft-5s-Diffusers/resolve/main/text_encoder_2/tf_model.h5
1.71 GB
- Xet hash:
- 38d064162d2fc1e8d2c0ae89e431608219291842bc1347ea449498fd344c51ff
- Size of remote file:
- 1.71 GB
- SHA256:
- 7f154e925c18270d662d28f6261523c2ff6e80f1f05292cb034db41d5951c7a4
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