Instructions to use kandinskylab/Kandinsky-5.0-T2V-Pro-sft-10s 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-10s 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-10s", 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
File size: 86 Bytes
dbb46f4 | 1 2 3 4 5 6 | {
"architectures": [
"DiffusionTransformer3D"
],
"model_type": "kandinsky5"
} |