Instructions to use numz/SeedVR2_comfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use numz/SeedVR2_comfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("numz/SeedVR2_comfyUI", 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:
- c7b193f91cef928378edf145ba59c8958840a2e7303c33848b8f3368960fa62c
- Size of remote file:
- 8.24 GB
- SHA256:
- 1fdbf3877b7d1eb266038d3a165a977f17dbb4daa4a0f0d334d5461476963037
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