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update docs
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Artiprocher
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README.md
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README.md
@@ -23,9 +23,9 @@ DiffSynth currently includes two open-source projects:
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* ModelScope AIGC Zone (for Chinese users): https://modelscope.cn/aigc/home
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* ModelScope Civision (for global users): https://modelscope.ai/civision/home
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> DiffSynth-Studio Documentation: [/docs/en/README.md](/docs/en/README.md)
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>
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> We believe that a well-developed open-source code framework can lower the threshold for technical exploration. We have achieved many [interesting technologies](#innovative-achievements) based on this codebase. Perhaps you also have many wild ideas, and with DiffSynth-Studio, you can quickly realize these ideas. For this reason, we have prepared detailed documentation for developers. We hope that through these documents, developers can understand the principles of Diffusion models, and we look forward to expanding the boundaries of technology together with you.
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> DiffSynth-Studio Documentation: [中文版](/docs/zh/README.md)、[English version](/docs/en/README.md)
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We believe that a well-developed open-source code framework can lower the threshold for technical exploration. We have achieved many [interesting technologies](#innovative-achievements) based on this codebase. Perhaps you also have many wild ideas, and with DiffSynth-Studio, you can quickly realize these ideas. For this reason, we have prepared detailed documentation for developers. We hope that through these documents, developers can understand the principles of Diffusion models, and we look forward to expanding the boundaries of technology together with you.
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## Update History
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@@ -40,9 +40,9 @@ DiffSynth currently includes two open-source projects:
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- Z-Image Turbo: [Model](https://www.modelscope.ai/models/Tongyi-MAI/Z-Image-Turbo), [Documentation](/docs/en/Model_Details/Z-Image.md), [Code](/examples/z_image/)
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- FLUX.2-dev: [Model](https://www.modelscope.cn/models/black-forest-labs/FLUX.2-dev), [Documentation](/docs/en/Model_Details/FLUX2.md), [Code](/examples/flux2/)
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- Training framework upgrade
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- Split Training: Supports automatically splitting the training process into two stages: data processing and training (even for training ControlNet or any other model). Computations that do not require gradient backpropagation, such as text encoding and VAE encoding, are performed during the data processing stage, while other computations are handled during the training stage. Faster speed, less VRAM requirement.
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- Differential LoRA Training: This is a training technique we used in [ArtAug](https://www.modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1), now available for LoRA training of any model.
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- FP8 Training: FP8 can be applied to any non-training model during training, i.e., models with gradients turned off or gradients that only affect LoRA weights.
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- [Split Training](/docs/zh/Training/Split_Training.md): Supports automatically splitting the training process into two stages: data processing and training (even for training ControlNet or any other model). Computations that do not require gradient backpropagation, such as text encoding and VAE encoding, are performed during the data processing stage, while other computations are handled during the training stage. Faster speed, less VRAM requirement.
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- [Differential LoRA Training](/docs/zh/Training/Differential_LoRA.md): This is a training technique we used in [ArtAug](https://www.modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1), now available for LoRA training of any model.
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- [FP8 Training](/docs/zh/Training/FP8_Precision.md): FP8 can be applied to any non-training model during training, i.e., models with gradients turned off or gradients that only affect LoRA weights.
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<details>
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<summary>More</summary>
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@@ -672,12 +672,12 @@ DiffSynth-Studio is not just an engineered model framework, but also an incubato
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- Sample Code: [/examples/flux/model_inference/FLUX.1-dev-LoRA-Fusion.py](/examples/flux/model_inference/FLUX.1-dev-LoRA-Fusion.py)
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- Model: [ModelScope](https://www.modelscope.cn/models/DiffSynth-Studio/LoRAFusion-preview-FLUX.1-dev)
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|[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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||[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|
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|[LoRA 1](https://modelscope.cn/models/cancel13/cxsk)|||||
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|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2)|||||
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|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1)|||||
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|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL)|||||
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|[LoRA 1](https://modelscope.cn/models/cancel13/cxsk) |||||
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|[LoRA 2](https://modelscope.cn/models/wy413928499/xuancai2) |||||
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|[LoRA 3](https://modelscope.cn/models/DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1) |||||
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|[LoRA 4](https://modelscope.cn/models/hongyanbujian/JPL) |||||
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</details>
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