Repo for controlnet model trained on 3.5M samples from coyo-700M dataset and 2.6M samples from bridge dataset  
For each training step, the batch is composed of 28 images from coyo and 4 from Bridge.  
We created a custom DataLoader that would load the batch with this 28:4 ratio each step from randomly selected images in both dataset.