release Image-to-LoRA V2

README.md

@@ -34,6 +34,11 @@ We believe that a well-developed open-source code framework can lower the thresh
 
 > Currently, the development personnel of this project are limited, with most of the work handled by [Artiprocher](https://github.com/Artiprocher) and [mi804](https://github.com/mi804). Therefore, the progress of new feature development will be relatively slow, and the speed of responding to and resolving issues is limited. We apologize for this and ask developers to understand.
 
+- **June 15, 2026** We have open-sourced Image-to-LoRA V2, compressing the hours-long training process for image style LoRAs into a single model inference step, thereby exploring a new paradigm for LoRA model training. This release includes three models:
+    * [DiffSynth-Studio/ZImage-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/ZImage-i2L-v2): Adapted for the Z-Image model
+    * [DiffSynth-Studio/KleinBase4B-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/KleinBase4B-i2L-v2): Adapted for the FLUX.2-klein-base-4B model
+    * [DiffSynth-Studio/HidreamO1-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/HidreamO1-i2L-v2): Adapted for the Hidream-O1-Image model
+
 - **June 5, 2026** Ideogram 4 open-sourced. Support includes text-to-image inference. For details, please refer to the [documentation](/docs/en/Model_Details/Ideogram-4.md) and [example code](/examples/ideogram4/).
 
 - **May 21, 2026**: Added support for image quality metrics models, including FID, CLIP, Aesthetic, PickScore, ImageReward, HPSv2, and HPSv3. For details, refer to the [documentation](/docs/en/Model_Details/Image-Quality-Metrics.md) and [example code](/examples/image_quality_metric/).
@@ -317,6 +322,7 @@ Example code for Z-Image is available at: [/examples/z_image/](/examples/z_image
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Union-2.1.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|
+|[DiffSynth-Studio/ZImage-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/ZImage-i2L-v2)|[code](/examples/z_image/model_inference/ZImage-i2L-v2.py)|[code](/examples/z_image/model_inference_low_vram/ZImage-i2L-v2.py)|[code](/examples/z_image/model_training/full/ZImage-i2L-v2.sh)|[code](/examples/z_image/model_training/validate_full/ZImage-i2L-v2.py)|-|-|
 
 </details>
 
@@ -507,6 +513,7 @@ Example code for FLUX.2 is available at: [/examples/flux2/](/examples/flux2/)
 |[DiffSynth-Studio/Template-KleinBase4B-SoftRGB](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-SoftRGB)|[code](/examples/flux2/model_inference/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-SoftRGB.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-SoftRGB.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-Upscaler](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Upscaler)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Upscaler.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Upscaler.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-ContentRef](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ContentRef)|[code](/examples/flux2/model_inference/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-ContentRef.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-ContentRef.py)|-|-|
+|[DiffSynth-Studio/KleinBase4B-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/KleinBase4B-i2L-v2)|[code](/examples/flux2/model_inference/KleinBase4B-i2L-v2.py)|[code](/examples/flux2/model_inference_low_vram/KleinBase4B-i2L-v2.py)|[code](/examples/flux2/model_training/full/KleinBase4B-i2L-v2.sh)|[code](/examples/flux2/model_training/validate_full/KleinBase4B-i2L-v2.py)|-|-|
 
 </details>
 
@@ -951,6 +958,7 @@ Example code for HiDream-O1-Image is available at: [/examples/hidream_o1_image/]
 |-|-|-|-|-|-|-|
 |[HiDream-ai/HiDream-O1-Image](https://modelscope.cn/HiDream-ai/HiDream-O1-Image)|[code](/examples/hidream_o1_image/model_inference/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_training/full/HiDream-O1-Image.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_training/lora/HiDream-O1-Image.sh)|[code](/examples/hidream_o1_image/model_training/validate_lora/HiDream-O1-Image.py)|
 |[HiDream-ai/HiDream-O1-Image-Dev](https://modelscope.cn/HiDream-ai/HiDream-O1-Image-Dev)|[code](/examples/hidream_o1_image/model_inference/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_training/full/HiDream-O1-Image-Dev.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_training/lora/HiDream-O1-Image-Dev.sh)|[code](/examples/hidream_o1_image/model_training/validate_lora/HiDream-O1-Image-Dev.py)|
+|[DiffSynth-Studio/HidreamO1-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/HidreamO1-i2L-v2)|[code](/examples/hidream_o1_image/model_inference/HidreamO1-i2L-v2.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HidreamO1-i2L-v2.py)|[code](/examples/hidream_o1_image/model_training/full/HidreamO1-i2L-v2.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HidreamO1-i2L-v2.py)|-|-|
 
 </details>
 

README_zh.md

@@ -34,6 +34,11 @@ DiffSynth 目前包括两个开源项目：
 
 > 目前本项目的开发人员有限，大部分工作由 [Artiprocher](https://github.com/Artiprocher) 和 [mi804](https://github.com/mi804) 负责，因此新功能的开发进展会比较缓慢，issue 的回复和解决速度有限，我们对此感到非常抱歉，请各位开发者理解。
 
+- **2026年6月15日** 我们开源了 Image-to-LoRA V2，将动辄数小时的图像风格 LoRA 训练压缩到一次模型推理中，探索 LoRA 模型训练的新方式。本次开源包括三个模型：
+    * [DiffSynth-Studio/ZImage-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/ZImage-i2L-v2)：适配模型 Z-Image
+    * [DiffSynth-Studio/KleinBase4B-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/KleinBase4B-i2L-v2)：适配模型 FLUX.2-klein-base-4B
+    * [DiffSynth-Studio/HidreamO1-i2L-v2](https://modelscope.cn/models/DiffSynth-Studio/HidreamO1-i2L-v2)：适配模型 Hidream-O1-Image
+
 - **2026年6月5日** Ideogram 4 开源，已支持文生图推理。详情请参考[文档](/docs/zh/Model_Details/Ideogram-4.md)和[示例代码](/examples/ideogram4/)。
 
 - **2026年5月21日** 新增图像质量评估模型的支持，包括 FID、CLIP、Aesthetic、PickScore、ImageReward、HPSv2、HPSv3，详情请参考[文档](/docs/zh/Model_Details/Image-Quality-Metrics.md)和[示例代码](/examples/image_quality_metric/)
@@ -317,6 +322,7 @@ Z-Image 的示例代码位于：[/examples/z_image/](/examples/z_image/)
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Union-2.1.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1.py)|
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.py)|
 |[PAI/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps](https://www.modelscope.cn/models/PAI/Z-Image-Turbo-Fun-Controlnet-Union-2.1)|[code](/examples/z_image/model_inference/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_inference_low_vram/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_training/full/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_full/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|[code](/examples/z_image/model_training/lora/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.sh)|[code](/examples/z_image/model_training/validate_lora/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.py)|
+|[DiffSynth-Studio/ZImage-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/ZImage-i2L-v2)|[code](/examples/z_image/model_inference/ZImage-i2L-v2.py)|[code](/examples/z_image/model_inference_low_vram/ZImage-i2L-v2.py)|[code](/examples/z_image/model_training/full/ZImage-i2L-v2.sh)|[code](/examples/z_image/model_training/validate_full/ZImage-i2L-v2.py)|-|-|
 
 </details>
 
@@ -507,6 +513,7 @@ FLUX.2 的示例代码位于：[/examples/flux2/](/examples/flux2/)
 |[DiffSynth-Studio/Template-KleinBase4B-SoftRGB](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-SoftRGB)|[code](/examples/flux2/model_inference/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-SoftRGB.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-SoftRGB.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-SoftRGB.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-Upscaler](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Upscaler)|[code](/examples/flux2/model_inference/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Upscaler.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-Upscaler.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-Upscaler.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-ContentRef](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ContentRef)|[code](/examples/flux2/model_inference/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_inference_low_vram/Template-KleinBase4B-ContentRef.py)|[code](/examples/flux2/model_training/full/Template-KleinBase4B-ContentRef.sh)|[code](/examples/flux2/model_training/validate_full/Template-KleinBase4B-ContentRef.py)|-|-|
+|[DiffSynth-Studio/KleinBase4B-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/KleinBase4B-i2L-v2)|[code](/examples/flux2/model_inference/KleinBase4B-i2L-v2.py)|[code](/examples/flux2/model_inference_low_vram/KleinBase4B-i2L-v2.py)|[code](/examples/flux2/model_training/full/KleinBase4B-i2L-v2.sh)|[code](/examples/flux2/model_training/validate_full/KleinBase4B-i2L-v2.py)|-|-|
 
 </details>
 
@@ -951,6 +958,7 @@ HiDream-O1-Image 的示例代码位于：[/examples/hidream_o1_image/](/examples
 |-|-|-|-|-|-|-|
 |[HiDream-ai/HiDream-O1-Image](https://modelscope.cn/models/HiDream-ai/HiDream-O1-Image)|[code](/examples/hidream_o1_image/model_inference/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_training/full/HiDream-O1-Image.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HiDream-O1-Image.py)|[code](/examples/hidream_o1_image/model_training/lora/HiDream-O1-Image.sh)|[code](/examples/hidream_o1_image/model_training/validate_lora/HiDream-O1-Image.py)|
 |[HiDream-ai/HiDream-O1-Image-Dev](https://modelscope.cn/models/HiDream-ai/HiDream-O1-Image-Dev)|[code](/examples/hidream_o1_image/model_inference/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_training/full/HiDream-O1-Image-Dev.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HiDream-O1-Image-Dev.py)|[code](/examples/hidream_o1_image/model_training/lora/HiDream-O1-Image-Dev.sh)|[code](/examples/hidream_o1_image/model_training/validate_lora/HiDream-O1-Image-Dev.py)|
+|[DiffSynth-Studio/HidreamO1-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/HidreamO1-i2L-v2)|[code](/examples/hidream_o1_image/model_inference/HidreamO1-i2L-v2.py)|[code](/examples/hidream_o1_image/model_inference_low_vram/HidreamO1-i2L-v2.py)|[code](/examples/hidream_o1_image/model_training/full/HidreamO1-i2L-v2.sh)|[code](/examples/hidream_o1_image/model_training/validate_full/HidreamO1-i2L-v2.py)|-|-|
 
 </details>
 

docs/en/Model_Details/FLUX2.md

@@ -77,6 +77,7 @@ image.save("image.jpg")
 |[DiffSynth-Studio/Template-KleinBase4B-SoftRGB](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-SoftRGB)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference/Template-KleinBase4B-SoftRGB.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference_low_vram/Template-KleinBase4B-SoftRGB.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/full/Template-KleinBase4B-SoftRGB.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/validate_full/Template-KleinBase4B-SoftRGB.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-Upscaler](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-Upscaler)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference/Template-KleinBase4B-Upscaler.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference_low_vram/Template-KleinBase4B-Upscaler.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/full/Template-KleinBase4B-Upscaler.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/validate_full/Template-KleinBase4B-Upscaler.py)|-|-|
 |[DiffSynth-Studio/Template-KleinBase4B-ContentRef](https://www.modelscope.cn/models/DiffSynth-Studio/Template-KleinBase4B-ContentRef)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference/Template-KleinBase4B-ContentRef.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference_low_vram/Template-KleinBase4B-ContentRef.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/full/Template-KleinBase4B-ContentRef.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/validate_full/Template-KleinBase4B-ContentRef.py)|-|-|
+|[DiffSynth-Studio/KleinBase4B-i2L-v2](https://www.modelscope.cn/models/DiffSynth-Studio/KleinBase4B-i2L-v2)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference/KleinBase4B-i2L-v2.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_inference_low_vram/KleinBase4B-i2L-v2.py)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/full/KleinBase4B-i2L-v2.sh)|[code](https://github.com/modelscope/DiffSynth-Studio/blob/main/examples/flux2/model_training/validate_full/KleinBase4B-i2L-v2.py)|-|-|
 
 Special Training Scripts: