Update README.md

README.md

@@ -9,14 +9,14 @@ base_model: jimmycarter/LibreFLUX
 # LibreFLUX-ControlNet
 ![Example: Control image vs result](examples/side_by_side.png)
 
-This model/pipeline is the product of my [LibreFlux ControlNet training repo](https://github.com/NeuralVFX/LibreFLUX-ControlNet). For the dataset I auto labeled 165K images from the SA1B dataset, and trained for that many iterations. [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX) is the base model.
+This model/pipeline is the product of my [LibreFlux ControlNet training repo](https://github.com/NeuralVFX/LibreFLUX-ControlNet). For the dataset I auto labeled 165K images from the SA1B dataset, and trained for that many iterations. [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX) is the transformer model.
 
-**ControlNet trained on top of LibreFLUX**
+# Fun Facts
 - Uses Attention Masking
 - Inference runs with CFG
 - Trained on 165K segmented images from Meta's [SA1B Dataset](https://ai.meta.com/datasets/segment-anything/)
 - Trained using: [https://github.com/NeuralVFX/LibreFLUX-ControlNet](https://github.com/NeuralVFX/LibreFLUX-ControlNet)
-- Base model used: [https://huggingface.co/jimmycarter/LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)
+- Transformer model used: [https://huggingface.co/jimmycarter/LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)
 - Inference code adapted from: [https://github.com/bghira/SimpleTuner](https://github.com/bghira/SimpleTuner)
   
 # Compatibility