Instructions to use fal/SeedVR2-7B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/SeedVR2-7B-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/SeedVR2-7B-FlashPack", 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:
- 43358869e2a79fc26406640add2524733b4bb754bd1cb57d2d0b4c4f4801ce3c
- Size of remote file:
- 501 MB
- SHA256:
- a9ff6bbe5feb92ae3fbe79b826afbf1dcb26ec77b20faabce9c90515c05026e6
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