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README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: other
 tags:
 - controlnet
 - text-to-image
@@ -7,6 +7,8 @@ tags:
 - inpainting
 - qwen-image
 - qwen-image-2512
+- flux
+- flux.1-dev
 - quantized
 - int8
 - convrot
@@ -16,42 +18,41 @@ pipeline_tag: image-to-image
 
 # ControlNet Models (ConvRot INT8)
 
-High-fidelity **ConvRot INT8** quantized weights for ControlNet models.
+High-fidelity **ConvRot INT8** quantized weights for ControlNet models across diverse architectures (Qwen-Image, FLUX.1-dev).
 
 ---
 
 ## 🌟 Model Overview
 
-This repository hosts the **ConvRot INT8** quantized weights of **`Qwen-Image-2512-Fun-Controlnet-Union-2602`**, based on [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union).
+This repository hosts high-quality **ConvRot INT8** quantized weights for multi-condition ControlNet Union models, designed to significantly reduce VRAM and storage footprint while preserving fine-grained structural control fidelity:
 
-- **Base Model:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union)
-- **Supported Conditions:** Canny, HED, Depth, Pose, MLSD, Scribble, Gray, Inpainting
-- **Quantization:** ConvRot INT8
-- **License:** Apache-2.0
+- **Qwen-Image-2512-Fun-Controlnet-Union-2602**: Multi-condition ControlNet Union model (5 layer blocks) for the Qwen-Image-2512 architecture.
+- **FLUX.1-dev-ControlNet-Union-Pro-2.0**: Next-generation unified 7-in-1 ControlNet for the FLUX.1-dev architecture by Shakker Labs.
 
 ---
 
 ## 📦 Available Models
 
-| Filename | Base Model | Supported Conditions | Precision | File Size | License |
-| :--- | :--- | :--- | :--- | :--- | :--- |
-| `Qwen-Image-2512-Fun-Controlnet-Union-2602_convrot_int8.safetensors` | Qwen-Image-2512-Fun-Controlnet-Union-2602 | Canny, HED, Depth, Pose, MLSD, Scribble, Gray, Inpaint | ConvRot INT8 | ~1.64 GB | Apache-2.0 |
+| Filename | Base Architecture | Base Model | Supported Conditions | Quantization | File Size | License |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| `Qwen-Image-2512-Fun-Controlnet-Union-2602_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 | ~1.64 GB | Apache-2.0 |
+| `FLUX.1-dev-ControlNet-Union-Pro-2.0_convrot_int8.safetensors` | FLUX.1-dev | [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) | Canny, Depth, Pose, Blur, Gray, Soft Edge, Low Quality | ConvRot INT8 | ~2.00 GB | Other / Non-Commercial |
 
 ---
 
 ## 🛠️ Model Features
 
-- Multi-condition ControlNet Union model (added on 5 layer blocks of Qwen-Image-2512).
-- Supported control conditions: Canny, HED, Depth, Pose, MLSD, Scribble, Gray, and Inpainting.
-- Quantized to **ConvRot INT8** to reduce VRAM and disk footprint while maintaining structural control fidelity.
+- **Multi-Condition Control**: Unified architectures allowing single or combined conditioning inputs (Canny, Depth, Pose, etc.) without swapping model checkpoints.
+- **ConvRot INT8 Precision**: Preserves high-frequency details and directional feature integrity through randomized orthogonal Hadamard rotations, eliminating outlier distortion common in standard INT8 quantization.
+- **Significant Footprint Reduction**: Delivers ~50% to 70% VRAM and storage savings compared to unquantized FP16 checkpoints.
 
 ---
 
 ## 🚀 Usage in ComfyUI
 
-ComfyUI does not natively support the **ConvRot INT8** format for ControlNet models. To load and execute these weights in ComfyUI, the dedicated loader extension is required:
+To load and execute these ConvRot INT8 ControlNet models in ComfyUI, please use the dedicated loader node from the **ComfyUI-HSWQ-Loader-and-Tools** extension:
 
-- **Dedicated Loader Extension:** [ComfyUI-HSWQ-Loader-and-Tools](https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools)
+- **Extension Repository:** [ComfyUI-HSWQ-Loader-and-Tools](https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools)
 
 ### Installation
 
@@ -62,12 +63,17 @@ cd ComfyUI/custom_nodes
 git clone https://github.com/ussoewwin/ComfyUI-HSWQ-Loader-and-Tools.git
 ```
 
-Place `Qwen-Image-2512-Fun-Controlnet-Union-2602_convrot_int8.safetensors` into your ComfyUI `models/controlnet/` directory and load it using the dedicated loader node.
+Place the downloaded `.safetensors` files into your ComfyUI `models/controlnet/` directory and load them using the dedicated ControlNet loader node.
 
 ---
 
 ## 📜 Credits & License
 
-- **Original Base Model:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union)
-- **Upstream Repository:** [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun)
-- **License:** Apache-2.0
+### Base Models & Research
+- **Qwen-Image ControlNet Union:** [alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union](https://huggingface.co/alibaba-pai/Qwen-Image-2512-Fun-Controlnet-Union) & [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) (Apache-2.0)
+- **FLUX.1-dev ControlNet Union Pro 2.0:** [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) & [InstantX Team](https://huggingface.co/InstantX) (FLUX.1-dev Non-Commercial License)
+- **Base Architecture:** [black-forest-labs/FLUX.1-dev](https://huggingface.co/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.