Trained for 1 epochs and 200 steps.

Trained with datasets ['text-embeds', 'default_dataset']
Learning rate 0.0001, 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 sha256:56d0adb6a70aff2c2ac8da7148af0667659eff777a3aa6eade7294e6dd0f32b2
-size 437221460
+oid sha256:78e5a3af59bc285f8f5853c51d64b0e553e44a91bb3b6e68817b72623e613bd8
+size 109535132