Instructions to use neuregex/Bernini-R-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use neuregex/Bernini-R-GGUF with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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# Bernini-R — GGUF (high & low noise experts)
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**[💻 Code / ComfyUI nodes](https://github.com/neuregex/ComfyUI-BerniniR)**
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GGUF quantizations of **[ByteDance/Bernini-R](https://huggingface.co/ByteDance/Bernini-R)**
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(= Wan2.2-T2V-A14B + source-id RoPE + multi-condition APG guidance), for use in ComfyUI with
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# Bernini-R — GGUF (high & low noise experts)
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**[💻 Code / ComfyUI nodes](https://github.com/neuregex/ComfyUI-BerniniR)**
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· **[💬 Discord — updates, roadmaps, projects, or just to chat](https://discord.gg/HxfP9TnctJ)**
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· **[🧬 Bernini-R](https://huggingface.co/ByteDance/Bernini-R)**
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· **[Wan2.2-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B)**
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GGUF quantizations of **[ByteDance/Bernini-R](https://huggingface.co/ByteDance/Bernini-R)**
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(= Wan2.2-T2V-A14B + source-id RoPE + multi-condition APG guidance), for use in ComfyUI with
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