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:
- b60abe91bc416b4d2cab530060ea93f02bbea35013ca8a23c75993dbd0c17f49
- Size of remote file:
- 501 MB
- SHA256:
- 20678548f420d98d26f11442d3528f8b8c94e57ee046ef93dbb7633da8612ca1
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