ControlNet Models (ConvRot INT8)
High-fidelity ConvRot INT8 quantized weights for multi-condition and dedicated ControlNet models across diverse generative architectures (Illustrious-XL / SDXL, SDXL 1.0, NoobAI-XL, Z-Image-Turbo, Qwen-Image / Qwen-Image-2512, and FLUX.1-dev).
- Technical Details & Quantization Framework: Hybrid-Sensitivity-Weighted-Quantization (HSWQ)
- ComfyUI Loader for ConvRot INT8: ComfyUI-HSWQ-Loader-and-Tools
📦 Available Models
Sizes are decimal (1 GB = 10^9 bytes) and exact; the SHA256 column is the pack's own hash, so a download can be verified against it.
| Filename | Base Architecture | Base Model / Author | Supported Conditions | Quantization | File Size | SHA256 | License |
|---|---|---|---|---|---|---|---|
CN-anytest4_illustrious2_A_hswq_convrot_int8.safetensors |
Illustrious-XL / SDXL | 2vXpSwA7/iroiro-lora (Anytest v4 Variant A) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1425.1 MB | be9ff80b2f4895684c7114afff12220394f838179b5c82eadd8ebc46f5d82c25 |
Fair AI / OpenRAIL++-M |
CN-anytest4_illustrious2_B_hswq_convrot_int8.safetensors |
Illustrious-XL / SDXL | 2vXpSwA7/iroiro-lora (Anytest v4 Variant B) | Multi-condition (Canny, Lineart, Depth, Pose, Structure) | ConvRot INT8 | 1423.5 MB | 7e34dc3cc3334afa2b9fe5461131a1f61e289a83b1a11413d6c687e94b9dde6e |
Fair AI / OpenRAIL++-M |
controlnet-union-pro-max-sdxl-1.0_hswq_convrot_int8.safetensors |
SDXL 1.0 | xinsir/controlnet-union-sdxl-1.0 | OpenPose, Depth, Canny, Lineart, Anime Lineart, Scribble, Soft Edge, Normal, Segment, Tile, Inpaint | ConvRot INT8 | 1435.3 MB | dcdf6f2037205c4a40b1f8863a91827ca3a5b55ec3261e07bb13d2dc855b47fb |
OpenRAIL++-M / Apache-2.0 |
noobaiXLControlnet_epsLineartRealistic_hswq_convrot_int8.safetensors |
NoobAI-XL / SDXL | Eugeoter/noob-sdxl-controlnet-lineart_realistic | Lineart (Realistic) | ConvRot INT8 | 1420.2 MB | 86e795137dcf8d2876784eeecc2d61365c385f6caf4a5176d225ecd57fdcc914 |
Fair AI Public 1.0-SD |
FLUX.1-dev-ControlNet-Union-Pro-2.0_hswq_convrot_int8.safetensors |
FLUX.1-dev | Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 | Canny, Depth, Pose, Blur, Gray, Soft Edge, Low Quality | ConvRot INT8 | 2710.6 MB | fbcba3c76a221fba461c83680f682d3ff7aa813ef554c42e3a5449b981090c46 |
Other / Non-Commercial |
Qwen-Image-2512-Fun-Controlnet-Union-2602_hswq_convrot_int8.safetensors |
Qwen-Image-2512 | 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 | Inpainting, Image Editing | ConvRot INT8 | 2120.3 MB | 38f0ab7495029517d4b0bb4187cedcbdfa090a29f0bb50dfa5733f5076a0c451 |
Apache-2.0 |
qwen_image_canny_diffsynth_controlnet_hswq_convrot_int8.safetensors |
Qwen-Image | 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 | 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 | Masked Inpainting & Localized Editing | ConvRot INT8 | 1135.9 MB | 471b6affc7fcedafb9940fafd6354dd6eb5fac5705e647029c90598c407c82d3 |
Apache-2.0 |
Z-Image-Turbo-Fun-Controlnet-Union-2.1-lite-2602-8steps_hswq_convrot_int8.safetensors |
Z-Image-Turbo | alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1 | Multi-condition (Canny, Depth, Pose, Color, Scribble, Inpaint) | ConvRot INT8 | 1009.7 MB | 1dd12b2d028b12df6b2a4f93856f8ab161c1edc05125e3b1c987a1694e99dba4 |
Apache-2.0 |
Z-Image-Turbo-Fun-Controlnet-Tile-2.1-lite-2601-8steps_hswq_convrot_int8.safetensors |
Z-Image-Turbo | alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1 | Tile, Super-Resolution, Detail Enhancing | ConvRot INT8 | 1009.7 MB | 2998f83ef65903b4b6b22fb7ac270ed66f9a2443220563aa43db4188024763a8 |
Apache-2.0 |
🚀 Usage in ComfyUI
Install the loader extension:
cd ComfyUI/custom_nodes
git clone https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools.git
Then place each file in the directory its type requires (see the table at the top):
- ControlNet files go in
ComfyUI/models/controlnet/and load with the HSWQ ControlNet Loader node. - Model patch files go in
ComfyUI/models/model_patches/and load with the HSWQ Model Patch Loader node, then apply withZImageFunControlnet/QwenImageDiffsynthControlnet.
📜 Credits & License
Base Models & Research
- Illustrious Anytest ControlNet: 2vXpSwA7/iroiro-lora by 2vXpSwA7
- NoobAI-XL ControlNet: Eugeoter/noob-sdxl-controlnet-lineart_realistic by Eugeoter (Fair AI Public 1.0-SD)
- SDXL ControlNet Union: xinsir/controlnet-union-sdxl-1.0 by xinsir
- Z-Image-Turbo ControlNet Models: alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1 & aigc-apps/VideoX-Fun (Apache-2.0)
- Qwen-Image ControlNet Models: alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union, alibaba-pai/Qwen-Image-ControlNet-Inpainting & aigc-apps/VideoX-Fun (Apache-2.0)
- Qwen-Image DiffSynth ControlNet Models: modelscope/DiffSynth-Studio by ModelScope / Alibaba Group (Apache-2.0)
- FLUX.1-dev ControlNet Union Pro 2.0: Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 & InstantX Team (FLUX.1-dev Non-Commercial License)
- Base Architectures: Illustrious-XL, Stability AI SDXL 1.0 & black-forest-labs/FLUX.1-dev
Disclaimer: These models are provided for optimization, workflow acceleration, and research purposes. Please adhere to the licenses and terms of the respective base models.
📚 Detailed documentation
🔒 Security
Backdoor audit. Each file's audit status - verdict strength, weight coverage, the record behind it, and the limits of what that measurement can show - is in Backdoor Audit Verdicts. The audit code, the procedure and the raw records are in the same repository.