Trained for 6 epochs and 3000 steps.

Trained with datasets ['text-embed-cache', 'cassatt-detail-crops-512', 'cassatt-detail-crops-768', 'cassatt-detail-crops-1024']
Learning rate 0.0006, batch size 4, 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 sha256:54d6202dc6afaf30cb049516d8ee4058f43b400c2949bde63fbecc7339a0fb3f
-size 109535132
+oid sha256:2a209029d09fe3d3e14eac195bf04ed6ae956a7c2602246b94354ebf0ec9bddf
+size 109535068