Instructions to use Runware/SeedVR2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/SeedVR2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/SeedVR2", 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:
- bc54dc52d393566fb67240cdb7d6629fe3339a4f17bee9cbb8c5b5c662cdf60e
- Size of remote file:
- 595 kB
- SHA256:
- fa07a14844314772266b66c3b95deb0027696d8fe7065721263db5176f45d799
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