| --- |
| base_model: |
| - Wan-AI/Wan2.2-TI2V-5B-Diffusers |
| - Efficient-Large-Model/LongLive-2.0-5B |
| pipeline_tag: text-to-video |
| tags: |
| - sglang |
| - longlive |
| - autoregressive |
| - video-generation |
| --- |
| |
| # LongLive-2.0-5B (Diffusers-format, for SGLang Diffusion) |
|
|
| A diffusers-directory-layout repackaging of [Efficient-Large-Model/LongLive-2.0-5B](https://huggingface.co/Efficient-Large-Model/LongLive-2.0-5B) |
| so it loads directly in **SGLang Diffusion** (`sglang.multimodal_gen`) without any runtime overlay/materialization. |
|
|
| - **transformer/** — the `generator` weights extracted from the original `model_bf16.pt`, kept in their |
| original (`model.*`) naming; SGLang's `LongLive2Transformer3DModel.param_names_mapping` maps them to the |
| diffusers module names at load (same convention as LingBot-World). |
| - **scheduler / text_encoder / tokenizer / vae** — taken from `Wan-AI/Wan2.2-TI2V-5B-Diffusers`. |
| - `model_index.json` `_class_name = LongLive2Pipeline`. |
| |
| ## Usage (SGLang) |
| |
| ```bash |
| sglang generate --model-path Rabinovich/LongLive-2.0-5B-Diffusers \ |
| --prompt "A compact silver robot walks through a clean robotics lab." \ |
| --num-frames 61 --height 480 --width 832 --num-inference-steps 4 --save-output |
| ``` |
| |
| Original model & method: [NVlabs/LongLive](https://github.com/NVlabs/LongLive). |
| License: [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) |
