Model reference · open weights
Bernini-R-ComfyUI is an open-weight video model from vantagewithai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Quantized GGUF version of Bernini-R for ComfyUI. Original model link: https://huggingface.co/ByteDance/Bernini-R Watch us on Youtube: @VantageWithAI Chenchen Liu<sup\</sup, Junyi Chen<sup\</sup, Lei Li<sup\</sup, Lu Chi<sup\,§</sup, Mingzhen Sun<sup\</sup, Zhuoying Li<sup\</sup, Yi Fu, Ruoyu Guo, Yiheng Wu, Ge Bai, Zehuan Yuan<sup✉</sup [](https://arxiv.org/abs/2605.22344) [](https://bernini-ai.github.io/) [](https://huggingface.co/ByteDance/Bernini) 🎉 News - [2026-06-01] We open-sourced the inference code and model weights of the Bernini Renderer (Bernini-R). - [2026-05-22] We released our paper Bernini: Latent Semantic Planning for Video Diffusion. ✨ Highlights Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer. On video editing, Bernini reaches the first tier among leading closed-source commercial models. The leaderboard below comes from our self-built arena platform, where human annotators blindly vote on paired edits and the votes are aggregated into a Bradley-Terry score and a pairwise win-rate matrix. 📑 Citation If you use Bernini in your research, please cite: 🙏 Acknowledgements Bernini builds on several outstanding open-source projects: - Wan2.2-T2V-A14B - Qwen2.5-VL-7B-Instruct - VeOmni We thank the authors and communities of these projects for their contributions. 📄 License Apache License 2.0. See LICENSE.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | vantagewithai |
|---|---|
| Type | Video models |
| Variants | 1 |
| Based on | ByteDance/Bernini-R |
| Released | 2026-06-14 |
| Popularity | 2k downloads / month |
| Likes | 13 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Bernini-R-GGUF-ComfyUI | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys bernini-r-comfyui for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (bernini-r-comfyui below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"bernini-r-comfyui","prompt":"a drone shot over a forest"}'
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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