Instructions to use AInVFX/SeedVR2_comfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AInVFX/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("AInVFX/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
Updated license to Apache 2.0
Browse files
README.md
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The GGUF format models in this repository are sourced from [cmeka/SeedVR2-GGUF](https://huggingface.co/cmeka/SeedVR2-GGUF), where additional GGUF versions and quantizations are available. We acknowledge and appreciate cmeka's work in converting these models to GGUF format.
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## 📄 License
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The code
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## 🙏 Credits
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- **Original SeedVR2**: [ByteDance-Seed/SeedVR](https://github.com/ByteDance-Seed/SeedVR) by ByteDance Seed
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The GGUF format models in this repository are sourced from [cmeka/SeedVR2-GGUF](https://huggingface.co/cmeka/SeedVR2-GGUF), where additional GGUF versions and quantizations are available. We acknowledge and appreciate cmeka's work in converting these models to GGUF format.
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## 📄 License
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The code and model weights are released under the Apache 2.0 License.
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## 🙏 Credits
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- **Original SeedVR2**: [ByteDance-Seed/SeedVR](https://github.com/ByteDance-Seed/SeedVR) by ByteDance Seed
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