Instructions to use FoundationVision/FlashVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FoundationVision/FlashVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FoundationVision/FlashVideo", 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
- Xet hash:
- 02ebe65c421fb9574498d55e94e757eace968bedcaffdffadf3e3a7edc67b5c7
- Size of remote file:
- 1.18 GB
- SHA256:
- cdf2683a98192fc35ebb1f86ff0bfd620eb0f8905efa4e8eb818af759e2bc418
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