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:
- cdec513b7d94c4528eab609cbb7a5e6fd6f9298c3c1d4c49b140818ec0bafe74
- Size of remote file:
- 16.5 GB
- SHA256:
- 0f714ee2e397e7a21528486470ad452e098aade629c23d0a559912da1104cfb8
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