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@@ -312,6 +312,8 @@ We also thank all authors for making Controlnet DEMOs, including but not limited
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Besides, you may also want to read these amazing related works:
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[Composer: Creative and Controllable Image Synthesis with Composable Conditions](https://github.com/damo-vilab/composer): A much bigger model to control diffusion!
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[T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models](https://github.com/TencentARC/T2I-Adapter): A much smaller model to control stable diffusion!
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[ControlLoRA: A Light Neural Network To Control Stable Diffusion Spatial Information](https://github.com/HighCWu/ControlLoRA): Implement Controlnet using LORA!
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