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ControlNet-models-ConvRot-INT8

Image-to-Image
controlnet
text-to-image
inpainting
sd-1-5
stable-diffusion
sdxl
stable-diffusion-xl
illustrious-xl
noobai-xl
z-image
z-image-turbo
qwen-image
qwen-image-2512
flux
flux.1-dev
diffsynth
diffsynth-studio
quantized
int8
convrot
comfyui
Model card Files
xet
 Community

ControlNet Models (ConvRot INT8)

High-fidelity ConvRot INT8 quantized weights for multi-condition and dedicated ControlNet models across diverse generative architectures (SD1.5, Illustrious-XL / SDXL, SDXL 1.0, NoobAI-XL, Z-Image-Turbo, Qwen-Image / Qwen-Image-2512, and FLUX.1-dev).

📦 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
control_v11f1e_sd15_tile_hswq_convrot_int8.safetensors SD1.5 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 Canny Edge Detection ConvRot INT8 607.6 MB f7e20fa625863f0225d39a6c8feddbfeb77b2ba6a95dc13d4cf144c70c2bdb36 OpenRAIL / CreativeML Open RAIL-M
control_v11f1p_sd15_depth_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Depth Map Guidance ConvRot INT8 607.6 MB 45086721b1ff4643a3ac50553eacc287e28d83fd7684bdc0dee7a8313cb6272b OpenRAIL / CreativeML Open RAIL-M
control_v11e_sd15_ip2p_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Instruct Pix2Pix (Image Editing) ConvRot INT8 607.6 MB 43e0884402b1801f2fdfdf05e187a581090bbc0a679a187b7d7626133a0f94bd OpenRAIL / CreativeML Open RAIL-M
control_v11e_sd15_shuffle_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Content Shuffle ConvRot INT8 607.6 MB 3a27828eb0373edaa57325fbcc1343b741d363c56bc2fcfba2857defe2be4db7 OpenRAIL / CreativeML Open RAIL-M
control_v11p_sd15_inpaint_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Inpainting ConvRot INT8 607.6 MB 53cf9c06ca727847942ddabd820399e364494d00e6ebe50a623dd9aa8b1337d1 OpenRAIL / CreativeML Open RAIL-M
control_instant_id_sdxl_hswq_convrot_int8.safetensors SDXL InstantX/InstantID Identity (face) conditioning ConvRot INT8 1420.2 MB a9ffbd849d007b969d91cadd1409757000f20f69d08b45d95f18243adff456c9 Apache-2.0
control_v11p_sd15_lineart_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Lineart ConvRot INT8 607.6 MB f32407808652f74e52f8f14767173751af9d9c5d202a48bb3354ff8bc475567f OpenRAIL / CreativeML Open RAIL-M
control_v11p_sd15_mlsd_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 M-LSD (line segments) ConvRot INT8 607.6 MB 1de1800ae02084c12b23a0f26b59507225874b0e0e2361854021cab552d2addc OpenRAIL / CreativeML Open RAIL-M
control_v11p_sd15_normalbae_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 Normal Map (BAE) ConvRot INT8 607.6 MB 04be4f6b091cf0c8c02cdb418b4f132618fb25e80f084214665d11cdd31e7797 OpenRAIL / CreativeML Open RAIL-M
control_v11p_sd15_openpose_hswq_convrot_int8.safetensors SD1.5 lllyasviel/ControlNet-v1-1 OpenPose ConvRot INT8 607.6 MB 6cc82f9ecc3bae7912d6a61f4896ebc30b5b4db99e143c4333acb8fdcf6d1b05 OpenRAIL / CreativeML Open RAIL-M
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 with ZImageFunControlnet / QwenImageDiffsynthControlnet.

📜 Credits & License

Base Models & Research

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.

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