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docs/zh/Model_Details/FLUX2.md
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FLUX.2 是由 Black Forest Labs 训练并开源的图像生成模型。
## 模型血缘
```mermaid
graph LR;
FLUX.2-Series-->black-forest-labs/FLUX.2-dev;
FLUX.2-Series-->black-forest-labs/FLUX.2-klein-4B;
FLUX.2-Series-->black-forest-labs/FLUX.2-klein-9B;
```
## 安装
在使用本项目进行模型推理和训练前，请先安装 DiffSynth-Studio。
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## 模型总览
|模型 ID|推理|低显存推理|LoRA 训练|LoRA 训练后验证|
|-|-|-|-|-|
|[black-forest-labs/FLUX.2-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-dev)|[code](/examples/flux2/model_inference/FLUX.2-dev.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-dev.py)|[code](/examples/flux2/model_training/lora/FLUX.2-dev.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-dev.py)|
|模型 ID|推理|低显存推理|全量训练|全量训练后验证|LoRA 训练|LoRA 训练后验证|
|-|-|-|-|-|-|-|
|[black-forest-labs/FLUX.2-dev](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-dev)|[code](/examples/flux2/model_inference/FLUX.2-dev.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-dev.py)|-|-|[code](/examples/flux2/model_training/lora/FLUX.2-dev.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-dev.py)|
|[black-forest-labs/FLUX.2-klein-4B](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-klein-4B)|[code](/examples/flux2/model_inference/FLUX.2-klein-4B.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-klein-4B.py)|[code](/examples/flux2/model_training/full/FLUX.2-klein-4B.sh)|[code](/examples/flux2/model_training/validate_full/FLUX.2-klein-4B.py)|[code](/examples/flux2/model_training/lora/FLUX.2-klein-4B.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-klein-4B.py)|
|[black-forest-labs/FLUX.2-klein-9B](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-klein-9B)|[code](/examples/flux2/model_inference/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_inference_low_vram/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_training/full/FLUX.2-klein-9B.sh)|[code](/examples/flux2/model_training/validate_full/FLUX.2-klein-9B.py)|[code](/examples/flux2/model_training/lora/FLUX.2-klein-9B.sh)|[code](/examples/flux2/model_training/validate_lora/FLUX.2-klein-9B.py)|
特殊训练脚本：
* 差分 LoRA 训练：[doc](/docs/zh/Training/Differential_LoRA.md)、[code](/examples/flux/model_training/special/differential_training/)
* FP8 精度训练：[doc](/docs/zh/Training/FP8_Precision.md)、[code](/examples/flux/model_training/special/fp8_training/)
* 两阶段拆分训练：[doc](/docs/zh/Training/Split_Training.md)、[code](/examples/flux/model_training/special/split_training/)
* 端到端直接蒸馏：[doc](/docs/zh/Training/Direct_Distill.md)、[code](/examples/flux/model_training/lora/FLUX.1-dev-Distill-LoRA.sh)
* 差分 LoRA 训练：[doc](/docs/zh/Training/Differential_LoRA.md)
* FP8 精度训练：[doc](/docs/zh/Training/FP8_Precision.md)
* 两阶段拆分训练：[doc](/docs/zh/Training/Split_Training.md)
* 端到端直接蒸馏：[doc](/docs/zh/Training/Direct_Distill.md)
## 模型推理
@@ -135,4 +146,4 @@ FLUX.2 系列模型统一通过 [`examples/flux2/model_training/train.py`](/exam
modelscope download --dataset DiffSynth-Studio/example_image_dataset --local_dir ./data/example_image_dataset
```
我们为每个模型编写了推荐的训练脚本，请参考前文"模型总览"中的表格。关于如何编写模型训练脚本，请参考[模型训练](/docs/zh/Pipeline_Usage/Model_Training.md)；更多高阶训练算法，请参考[训练框架详解](/docs/Training/)。
我们为每个模型编写了推荐的训练脚本，请参考前文"模型总览"中的表格。关于如何编写模型训练脚本，请参考[模型训练](/docs/zh/Pipeline_Usage/Model_Training.md)；更多高阶训练算法，请参考[训练框架详解](/docs/Training/)。