Update README.md

README.md

@@ -1,22 +1,22 @@
 # LibreFLUX-ControlNet Inference (WIP)
 ![Example: Control image vs result](examples/side_by_side.png)
 
-This model is a ControlNet Inference Pipeline, trained on top of LibreFLUX using [https://github.com/NeuralVFX/LibreFLUX-ControlNet]
+This model is a ControlNet trained on top of LibreFLUX using [https://github.com/NeuralVFX/LibreFLUX-ControlNet](https://github.com/NeuralVFX/LibreFLUX-ControlNet)
 
 It incorperates:
 - Attention Masking
 - Running inference with CFG.
 
 **Disclaimer**, This is pieced together by modifying and borrowing from these repos: 
-- [https://huggingface.co/jimmycarter/LibreFLUX]
-- [https://github.com/bghira/SimpleTuner]
+- [https://huggingface.co/jimmycarter/LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)
+- [https://github.com/bghira/SimpleTuner](https://github.com/bghira/SimpleTuner)
 
 
 ## Status
 Work in progress. Code is being transferred and adapted from my larger project.
 
 
-### Compatibility
+# Compatibility
 
 - Use these specific library versions:
 ```py
@@ -24,7 +24,7 @@ pip install -U diffusers==0.32.0
 pip install -U "transformers @ git+https://github.com/huggingface/transformers@e15687fffe5c9d20598a19aeab721ae0a7580f8a"
 ```
 
-### Load Pipeline
+# Load Pipeline
 
 ```py
 import torch
@@ -44,7 +44,7 @@ pipe = DiffusionPipeline.from_pretrained(
 ).to(device)
 ```
 
-### Inference
+# Inference
 
 ```py
 from PIL import Image