Trained for 65 epochs and 1500 steps.

Trained with datasets ['text-embeds', 'image-embeds', 'julia', 'riverphoenix']
Learning rate 0.0001, batch size 1, and 2 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 sha256:8bdfd9423f4cbd3e9c029a5f4a415fa5f5b802126b670db1b4a7429c74349816
+oid sha256:7e55f6a081e617a13ccb46417891c21050003202eb668a70e72ca986765a3d1c
 size 89840872