Trained for 3 epochs and 100 steps.

Trained with datasets ['text-embeds', 'pointerpointer']
Learning rate 0.0002, batch size 45, 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c89517c8533c60c77e3de883244097c6a45862dcb727e8720c0640e9b6771361
+size 130958088