ComfyUI_SenseNova_U1

ComfyUI_SenseNova_U1

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-Unify Architecture

Update

• Add U1.5 (preview and official version ) support；
• 新增U1.5（预览和正式版）支持，模型有GGUF/INT8/FP8/BF16量化，质量比之前的要好，模型缓慢上传到haggingface，也可以去我的云盘拉取
• ~~新增fp8和convrot int8模型支持(Infographic-V3)，support fp8 and convrot int8 models~~
• ~~暂时以同步卸载模式适配moe模型,moe模式12G显存， 文生图时，count设置为8-9，图生图设置为4左右..~~
• ~~support SenseNova-U1-A3B-MoT-SFT and SenseNova-U1-A3B-MoT and SenseNova-U1-A3B-MoT-SFT-gguf ,支持A3B MOE的单体合并模型和gguf模型,快速测试可以修改节点加载repo的分割模型.~~
• ~~fix interleave some bugs ,add interleave max images number, 修复bug，交叉模式生成图片数量可以选入参，注意因为kv缓存的原因，越大越占用显存~~
• ~~support 8 steps lora now 支持 8步lora~~
• ~~Test it use 8G Vram 36G Ram ,确保内存（不是显存）大于36G~~
• ~~If Vram >16G make prefetch_count =0, 显存大于16G时，设置swap（prefetch_count）数值为0以关闭层交换（使用Q6 gguf时）~~

1.Installation

In the ./ComfyUI/custom_nodes directory, run the following:

git clone https://github.com/smthemex/ComfyUI_SenseNova_U1

2.requirements

pip install -r requirements.txt

3.checkpoints

8B-links
A3B-links
U1.5-8B-links (preview and official )
A3B-links-modelscope
lora
夸克网盘

├── ComfyUI/models/gguf/
|     ├── SenseNova-U1-8B-MoT-8step-Q6_K.gguf # optional 可选
|     ├──SenseNova-U1-A3B-MoT-SFT-Q4_K_S.gguf # optional 可选
├── ComfyUI/models/diffusion_models/
|     ├── SenseNova-U1-8B-MoT-8step-merge_bf16.safetensors # optional 可选
|     ├── SenseNova-U1-A3B-MoT-SFT-merge_bf16.safetensors  可选
|     ├── SenseNova-U1-8B-MoT-Infographic-V3-int8_convrot.safetensors  可选
|     ├── SenseNova-U1-8B-MoT-Infographic-V3-fp8_scaled.safetensors  可选
├── ComfyUI/models/loras/
|     ├── SenseNova-U1-8B-MoT-LoRA-8step-V1.0.safetensors # optional 可选

4. Example

---

• U1.5-8B official version
• A3B MOE
• U1.0 8B

5 .Citation

@misc{sensenova2026neounify,
  title        = {NEO-unify: Building Native Multimodal Unified Models End to End},
  author       = {SenseNova},
  journal      = {Hugging Face blog},
  url          = {https://huggingface.co/blog/sensenova/neo-unify},
  year         = {2026}
}

@article{sensenova2026sensenovau1,
  title        = {SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture},
  author       = {Diao, Haiwen and Wu, Penghao and Deng, Hanming and Wang, Jiahao and Bai, Shihao and Wu, Silei and Fan, Weichen and Ye, Wenjie and Tong, Wenwen and Fan, Xiangyu and others},
  journal      = {arXiv preprint arXiv:2605.12500},
  year         = {2026}
}