Trained for 3 epochs and 900 steps.

Trained with datasets ['text-embed-cache', 'raphael-512', 'raphael-768', 'raphael-1024']
Learning rate 0.001, batch size 2, and 2 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 sha256:3db58de775c81ed78db84c5b20381384298f346f9bd3dec16107d4c5c2b8e102
+oid sha256:39390dff2fda16c422930f626b1cd158ded5bf7de68a66c6603a33398ee4eda2
 size 109535132