Instructions to use vidfom/veo3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vidfom/veo3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vidfom/veo3", 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 demo_utils/__pycache__/constant.cpython-312.pyc from vidfom/veo3: direct link, hf CLI and curl.
- Browser
- Download file 2.83 kB
-
https://huggingface.co/vidfom/veo3/resolve/main/demo_utils/__pycache__/constant.cpython-312.pyc
- Command line
-
hf download hf://vidfom/veo3/demo_utils/__pycache__/constant.cpython-312.pyc
-
curl -L -o constant.cpython-312.pyc https://huggingface.co/vidfom/veo3/resolve/main/demo_utils/__pycache__/constant.cpython-312.pyc
2.83 kB
This file contains binary data. It cannot be displayed, but you can still download it.