mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-23 17:38:10 +00:00
update LTX-2.3 doc (#1365)
This commit is contained in:
@@ -16,7 +16,7 @@ For more information about installation, please refer to [Installation Dependenc
|
||||
|
||||
## Quick Start
|
||||
|
||||
Run the following code to quickly load the [Lightricks/LTX-2](https://www.modelscope.cn/models/Lightricks/LTX-2) model and perform inference. VRAM management has been enabled, and the framework will automatically control model parameter loading based on remaining VRAM. It can run with a minimum of 8GB VRAM.
|
||||
Run the following code to quickly load the [Lightricks/LTX-2.3](https://www.modelscope.cn/models/Lightricks/LTX-2.3) model and perform inference. VRAM management has been enabled, and the framework will automatically control model parameter loading based on remaining VRAM. It can run with a minimum of 8GB VRAM.
|
||||
|
||||
```python
|
||||
import torch
|
||||
|
||||
@@ -16,7 +16,7 @@ pip install -e .
|
||||
|
||||
## 快速开始
|
||||
|
||||
运行以下代码可以快速加载 [Lightricks/LTX-2](https://www.modelscope.cn/models/Lightricks/LTX-2) 模型并进行推理。显存管理已启动,框架会自动根据剩余显存控制模型参数的加载,最低 8GB 显存即可运行。
|
||||
运行以下代码可以快速加载 [Lightricks/LTX-2.3](https://www.modelscope.cn/models/Lightricks/LTX-2.3) 模型并进行推理。显存管理已启动,框架会自动根据剩余显存控制模型参数的加载,最低 8GB 显存即可运行。
|
||||
|
||||
```python
|
||||
import torch
|
||||
|
||||
Reference in New Issue
Block a user