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

• 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）

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

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

pip install -r requirements.txt

8B-links
A3B-links
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
├── ComfyUI/models/loras/
|     ├── SenseNova-U1-8B-MoT-LoRA-8step-V1.0.safetensors # optional 可选

4. Example

• A3B MOE
• 8B