Trained for 1 epochs and 500 steps.

Trained with datasets ['text-embed-cache', 'cassatt-detail-crops-512', 'cassatt-detail-crops-768', 'cassatt-detail-crops-1024']
Learning rate 0.0004, batch size 6, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: black-forest-labs/FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e4d132c7a97fb6ef0a70a6c7755ed4eef8d3f620391320be406d82ca9a81d6c
+oid sha256:d1d050d6b55f4e6459c354fbdd8d9ebf4647db3d4655b31b43f14f6ebdb9a664
 size 109535132