Update README.md

README.md

@@ -18,7 +18,7 @@ base_model:
 
 This model/pipeline is the product of my [LibreFlux IP-Adapter training repo](https://github.com/NeuralVFX/LibreFLUX-IP-Adapter), which uses  [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX) as the underlying Transformer model. The IP Adapter and Attention Wrapper design is roughly based on the [InstantX IP Adapter](https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter/)
 
-I used transfer learning, to fintune the InstantX weights until they worked with LibreFlux and attention masking. For the dataset, I trained on laion2b-squareish-1024px for 20,000 iterations.
+I used transfer learning, to fintune the InstantX weights until they worked with LibreFlux and attention masking. For the dataset, I trained on [laion2b-squareish-1024px](https://huggingface.co/datasets/opendiffusionai/laion2b-squareish-1024px/) for roughly 20,000 iterations.
 
 # How does this relate to LibreFLUX?
 - Base model is [LibreFLUX](https://huggingface.co/jimmycarter/LibreFLUX)