Trained for 0 epochs and 1004 steps.

Trained with datasets ['text-embeds', 'vtubers']
Learning rate 0.0001, 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 'trailing' timestep spacing.
Base model: ./../Hololette/models/aquability_0
VAE: None

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2907efdff28da410ae9817cf8c0cf30140c08db1c22b95c0d8fb7b96abf4c2d
+size 125239170