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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/) |