Currently retraining the scale, but it was trained with many raw unscaled latents and it makes the default output hazy. Use this to correctly orient the output to the correct VAE scale.

Higher or lower may yield different results.

a castle at sunset

a mountain view with a beautiful landscape

a woman sitting on the bus

a carrot on a cake

a refrigerator to the left of a table

a mad scientist's laboratory with strange gagets and mechanisms

steampunk goku

a man standing on top of a table in the middle of a room full of curtains.

a mad scientists laboratory

Utilizing this synthesized image set here: https://huggingface.co/datasets/AbstractPhil/sd15-latent-distillation-500k

As of typing this, the 500k isn't finished synthesizing. It's at around 200k, which should be more than enough to get a baseline.

At 4000 steps the new flow matching trainer is already manifesting results.

Within 4000 steps at batch 16 the pretrained flow matching SD1.5 model is already building convergence. This model was the sd15-flow-matching-try2 aka Lune variation, and I can say for certain she is most definitely not burned.

The trainer is in the files.