Instructions to use kandinskylab/Kandinsky-5.0-T2V-Lite-nocfg-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-nocfg-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-nocfg-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/pytorch_model.bin from kandinskylab/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers/resolve/main/text_encoder_2/pytorch_model.bin
- Command line
-
hf download hf://kandinskylab/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers/text_encoder_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kandinskylab/Kandinsky-5.0-T2V-Lite-nocfg-5s-Diffusers/resolve/main/text_encoder_2/pytorch_model.bin
1.71 GB
- Xet hash:
- 1cc42f6dca295521183e48a523369c7b44aa54a8386600b7b9b5b0bb3fd99ccc
- Size of remote file:
- 1.71 GB
- SHA256:
- f1a17cdbe0f36fec524f5cafb1c261ea3bbbc13e346e0f74fc9eb0460dedd0d3
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