GitLab

1. 修复mlu int8量化

Co-authored-by: root <root@pt-de4c35727a1b4d1b9f27f422f06026ec-worker-0.pt-de4c35727a1b4d1b9f27f422f06026ec.ns-devsft-3460edd0.svc.cluster.local>

1. 修复之前的代码合并冲突，并测试通过。

---------
Co-authored-by: Yang Yong (雍洋) <yongyang1030@163.com>

Refactor initialization to set run_device before loading adapter
checkpoint.

Co-authored-by: yihuiwen <yihuiwen@sensetime.com>

support hunyuan_video_1.5_distill model class.

### 单卡
```bash
python examples/simple_launch.py
```
```python
# examples/simple_launch.py
from lightx2v import LightGenerator

generator = LightGenerator(
    model_path="/path/to/Wan2.1-T2V-1.3B",
    model_cls="wan2.1",
    task="t2v",
)

video_path = generator.generate(
    prompt="Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage.",
    negative_prompt="镜头晃动，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
    seed=42,
    save_result_path="output.mp4",
)
```
### 多卡
```bash
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
torchrun --nproc_per_node...

Updated README_zh.md with new features and model support.

--linear_dtype and --linear_quant_dtype unify as --linear_type

Added new model links and recommendations for lightweight autoencoders.

Thanks to HunyuanVideo Team and ModelTC Team.

---------
Co-authored-by: gushiqiao <975033167@qq.com>
Co-authored-by: gushiqiao <77222802+gushiqiao@users.noreply.github.com>
Co-authored-by: chendingyu <chendingyu1@sensetime.com>
Co-authored-by: XHPlus <xhplus@163.com>
Co-authored-by: wangshankun <wangshankun2011@hotmail.com>
Co-authored-by: STwangyingrui <86730325+STwangyingrui@users.noreply.github.com>
Co-authored-by: root <root@pt-80f094c20fc44a8cad096e5f3dbc962e-worker-0.pt-80f094c20fc44a8cad096e5f3dbc962e.ns-devsft-3460edd0.svc.cluster.local>

Feature:
    1. added mlu590 bfloat16, single-gpu and multi-gpus inference.
    2. added mlu590 int8 inference.