Trained for 9 epochs and 100 steps.

Trained with datasets ['text-embeds', 'image-embeds', 'julia']
Learning rate 1.0, batch size 1, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'linspace' 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 sha256:30efa2033107d43c5bd47dbe8fbc07ae70a79e92419118895fb87ea484af6915
-size 97191000
+oid sha256:cb31906f06918d2ad96f1594aba8ef0226ae76b2b4ddfb490a7ddb1765269e19
+size 97190240