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:
- a702d91fa3dfbf4fa9782c2fa7ceed46d2ae1136c445de9c816cccf2a4cd4485
- Size of remote file:
- 657 kB
- SHA256:
- 6a43e5800ef2354f1c156d27535834da055cbec8248298b8923492bba2076581
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