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2024-11-04 16:09:32 +08:00
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@@ -28,13 +28,9 @@
与语言模型不同，Diffusion 模型存在生态模型，包括 LoRA、ControlNet、IP-Adapter 等，这些模型由不同的开发者开发、训练、开源，我们为这些模型提供了一站式的推理支持。例如基于 Stable Diffusion XL，你可以随意使用这些相关的生态模型组装出丰富的功能。
|底模生成|使用 ControlNet 保持画面结构重新生成|
|-|-|
|![image](https://github.com/user-attachments/assets/cc094e8f-ff6a-4f9e-ba05-7a5c2e0e609f)|![image_controlnet](https://github.com/user-attachments/assets/d50d173e-e81a-4d7e-93e3-b2787d69953e)|
|继续叠加 LoRA 使画面更扁平|叠加 IP-Adapter 转换为水墨风格|
|-|-|
|![image_lora](https://github.com/user-attachments/assets/c599b2f8-8351-4be5-a6ae-8380889cb9d8)|![image_ipadapter](https://github.com/user-attachments/assets/e5924aef-03b0-4462-811f-a60e2523fd7f)|
|底模生成|使用 ControlNet 保持画面结构重新生成|继续叠加 LoRA 使画面更扁平|叠加 IP-Adapter 转换为水墨风格|
|-|-|-|-|
|![image](https://github.com/user-attachments/assets/cc094e8f-ff6a-4f9e-ba05-7a5c2e0e609f)|![image_controlnet](https://github.com/user-attachments/assets/d50d173e-e81a-4d7e-93e3-b2787d69953e)|![image_lora](https://github.com/user-attachments/assets/c599b2f8-8351-4be5-a6ae-8380889cb9d8)|![image_ipadapter](https://github.com/user-attachments/assets/e5924aef-03b0-4462-811f-a60e2523fd7f)|
你甚至可以继续叠加 AnimateDiff 构建视频转绘方案。
@@ -48,26 +44,26 @@
DiffSynth-Studio 集成了多个开源模型，这是属于开源社区的奇迹。我们致力于用强工程基础驱动算法上的创新，目前我们公开了多项创新性生成技术。
* ExVideo: 视频生成模型的扩展训练技术
* 项目页面: https://ecnu-cilab.github.io/ExVideoProjectPage/
* 技术报告: https://arxiv.org/abs/2406.14130
* 项目页面: [https://ecnu-cilab.github.io/ExVideoProjectPage/](https://ecnu-cilab.github.io/ExVideoProjectPage/)
* 技术报告: [https://arxiv.org/abs/2406.14130](https://arxiv.org/abs/2406.14130)
* 模型 (ExVideo-CogVideoX)
* HuggingFace: https://huggingface.co/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1
* ModelScope: https://modelscope.cn/models/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1
* HuggingFace: [https://huggingface.co/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1](https://huggingface.co/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1)
* ModelScope: [https://modelscope.cn/models/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1](https://modelscope.cn/models/ECNU-CILab/ExVideo-CogVideoX-LoRA-129f-v1)
* 模型 (ExVideo-SVD)
* HuggingFace: https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1
* ModelScope: https://modelscope.cn/models/ECNU-CILab/ExVideo-SVD-128f-v1
* HuggingFace: [https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1)
* ModelScope: [https://modelscope.cn/models/ECNU-CILab/ExVideo-SVD-128f-v1](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1)
* Diffutoon: 动漫风格视频渲染方案
* 项目页面: https://ecnu-cilab.github.io/DiffutoonProjectPage/
* 技术报告: https://arxiv.org/abs/2401.16224
* 样例代码: https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/Diffutoon
* 项目页面: [https://ecnu-cilab.github.io/DiffutoonProjectPage/](https://ecnu-cilab.github.io/DiffutoonProjectPage/)
* 技术报告: [https://arxiv.org/abs/2401.16224](https://arxiv.org/abs/2401.16224)
* 样例代码: [https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/Diffutoon](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/Diffutoon)
* FastBlend: 视频去闪烁算法
* 独立仓库: https://github.com/Artiprocher/sd-webui-fastblend
* 独立仓库: [https://github.com/Artiprocher/sd-webui-fastblend](https://github.com/Artiprocher/sd-webui-fastblend)
* 视频演示
* https://www.bilibili.com/video/BV1d94y1W7PE
* https://www.bilibili.com/video/BV1Lw411m71p
* https://www.bilibili.com/video/BV1RB4y1Z7LF
* 技术报告: https://arxiv.org/abs/2311.09265
* [https://www.bilibili.com/video/BV1d94y1W7PE](https://www.bilibili.com/video/BV1d94y1W7PE)
* [https://www.bilibili.com/video/BV1Lw411m71p](https://www.bilibili.com/video/BV1Lw411m71p)
* [https://www.bilibili.com/video/BV1RB4y1Z7LF](https://www.bilibili.com/video/BV1RB4y1Z7LF)
* 技术报告: [https://arxiv.org/abs/2311.09265](https://arxiv.org/abs/2311.09265)
* DiffSynth: DiffSynth-Studio 的前身
* 项目页面: https://ecnu-cilab.github.io/DiffSynth.github.io/
* 早期代码: https://github.com/alibaba/EasyNLP/tree/master/diffusion/DiffSynth
* 技术报告: https://arxiv.org/abs/2308.03463
* 项目页面: [https://ecnu-cilab.github.io/DiffSynth.github.io/](https://ecnu-cilab.github.io/DiffSynth.github.io/)
* 早期代码: [https://github.com/alibaba/EasyNLP/tree/master/diffusion/DiffSynth](https://github.com/alibaba/EasyNLP/tree/master/diffusion/DiffSynth)
* 技术报告: [https://arxiv.org/abs/2308.03463](https://arxiv.org/abs/2308.03463)