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README.md

@@ -50,6 +50,7 @@ Sizes are decimal (1 GB = 10\^9 bytes) and exact; the `SHA256` column is the pac
 | `Qwen-Image-2512-Fun-Controlnet-Union-2602_hswq_convrot_int8.safetensors` | Qwen-Image-2512 | [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union) | Canny, HED, Depth, Pose, MLSD, Scribble, Gray, Inpaint | ConvRot INT8 | 1758.7 MB | `5aec39a53f583bade3b7db18f38ed5a01905a0610c2ad2f9f792802178596bc4` | Apache-2.0 |
 | `Qwen-Image-ControlNet-Inpainting_hswq_convrot_int8.safetensors` | Qwen-Image | [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) | Inpainting, Image Editing | ConvRot INT8 | 2120.3 MB | `38f0ab7495029517d4b0bb4187cedcbdfa090a29f0bb50dfa5733f5076a0c451` | Apache-2.0 |
 | `control_v11f1e_sd15_tile_hswq_convrot_int8.safetensors` | SD1.5 | [lllyasviel/ControlNet-v1-1](https://huggingface.co/lllyasviel/ControlNet-v1-1) | Tile, Super-Resolution, Detail Enhancing | ConvRot INT8 | 607.6 MB | `e90a2cb010ea2e180b75ccc722dff476d8617f6b474dbadcb82423a34102de60` | OpenRAIL / CreativeML Open RAIL-M |
+| `control_v11p_sd15_canny_hswq_convrot_int8.safetensors` | SD1.5 | [lllyasviel/ControlNet-v1-1](https://huggingface.co/lllyasviel/ControlNet-v1-1) | Canny Edge Detection | ConvRot INT8 | 607.6 MB | `f7e20fa625863f0225d39a6c8feddbfeb77b2ba6a95dc13d4cf144c70c2bdb36` | OpenRAIL / CreativeML Open RAIL-M |
 | `qwen_image_canny_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Canny Edge Detection & Structural Guidance | ConvRot INT8 | 1135.9 MB | `c2899255252b81fd64ef2fae0fbfd86e1496ba04cf10cc95fe45679120f1c996` | Apache-2.0 |
 | `qwen_image_depth_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Geometric Depth Map Guidance | ConvRot INT8 | 1135.9 MB | `7b82a9360169fa99524c03bcf913ce63713930174ad1fc332e553e5646bad44c` | Apache-2.0 |
 | `qwen_image_inpaint_diffsynth_controlnet_hswq_convrot_int8.safetensors` | Qwen-Image | [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) | Masked Inpainting & Localized Editing | ConvRot INT8 | 1135.9 MB | `471b6affc7fcedafb9940fafd6354dd6eb5fac5705e647029c90598c407c82d3` | Apache-2.0 |
@@ -75,7 +76,7 @@ Then place each file in the directory its type requires (see the table at the to
 - **Illustrious Anytest ControlNet:** [2vXpSwA7/iroiro-lora](https://huggingface.co/2vXpSwA7/iroiro-lora) by **2vXpSwA7**
 - **NoobAI-XL ControlNet:** [Eugeoter/noob-sdxl-controlnet-lineart_realistic](https://huggingface.co/Eugeoter/noob-sdxl-controlnet-lineart_realistic) by **Eugeoter** (Fair AI Public 1.0-SD)
 - **SDXL ControlNet Union:** [xinsir/controlnet-union-sdxl-1.0](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0) by **xinsir**
-- **SD1.5 tile ControlNet:** [lllyasviel/ControlNet-v1-1](https://huggingface.co/lllyasviel/ControlNet-v1-1) by **lllyasviel** (OpenRAIL)
+- **SD1.5 ControlNets (tile, canny):** [lllyasviel/ControlNet-v1-1](https://huggingface.co/lllyasviel/ControlNet-v1-1) by **lllyasviel** (OpenRAIL)
 - **Z-Image-Turbo ControlNet Models:** [alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
 - **Qwen-Image ControlNet Models:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union), [alibaba-pai/Qwen-Image-ControlNet-Inpainting](https://huggingface.co/alibaba-pai/Qwen-Image-ControlNet-Inpainting) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
 - **Qwen-Image DiffSynth ControlNet Models:** [modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) by **ModelScope / Alibaba Group** (Apache-2.0)
@@ -90,6 +91,7 @@ Then place each file in the directory its type requires (see the table at the to
 
 - [ControlNet ConvRot INT8 trajectory impact guide](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/ControlNet_ConvRot_INT8_Trajectory_Impact_Technical_Guide.md)
 - [SD1.5 tile ControlNet guide](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/CN_SD15_Tile_ConvRot_INT8_Impact_Technical_Guide.md)
+- [SD1.5 canny ControlNet guide](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/CN_SD15_Canny_ConvRot_INT8_Impact_Technical_Guide.md)
 - [Backdoor Audit Verdicts](https://github.com/ussoewwin/Hybrid-Sensitivity-Weighted-Quantization/blob/main/md/backdoor/Backdoor_Audit_Verdicts.md)
 
 ## 🔒 Security