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README.md

@@ -13,13 +13,16 @@ tags:
 - Flux.1-dev
 - image-generation
 - Stable Diffusion
-base_model:
-- Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0
+- quantization
+- fp8
+inference:
+  parameters:
+    torch_dtype: torch.float8_e4m3fn
 ---
 
-# FLUX.1-dev-ControlNet-Union-Pro-2.0 (fp8)
+# FLUX.1-dev-ControlNet-Union-Pro-2.0 (FP8 Quantized)
 
-This repository contains an unified ControlNet for FLUX.1-dev model released by [Shakker Labs](https://huggingface.co/Shakker-Labs). This is a direct quantization of the original model to FP8 format for optimized inference performance (not a fine-tuned version). We provide an [online demo](https://huggingface.co/spaces/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0).
+This repository contains an FP8 quantized version of the [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) model. **This is NOT a fine-tuned model** but a direct quantization of the original BFloat16 model to FP8 format for optimized inference performance. We provide an [online demo](https://huggingface.co/spaces/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0).
 
 # FP8 Quantization
 This model has been quantized from the original BFloat16 format to FP8 format. The benefits include:
@@ -27,7 +30,7 @@ This model has been quantized from the original BFloat16 format to FP8 format. T
 - **Faster Inference**: Potential speed improvements, especially on hardware with FP8 support
 - **Minimal Quality Loss**: Carefully calibrated quantization process to preserve output quality
 
-Note: This is a direct quantization of [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) and preserves all the functionality of the original model.
+**Important Note**: This is a direct quantization of [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0) and preserves all the functionality of the original model. No fine-tuning or additional training has been performed.
 
 # Keynotes
 In comparison with [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro),