




I used 0.005:100,0.0025:250,0.001:500,0.0005 for my learning rate. I am going for 10K training steps total. I am using a batch size of 1 with Gradient Accumulation Steps set to 3. I am running locally on a RTX 4090. I am using 12.5 out of 24 GB. The estimated time of completion is 2 hours. For the embedding I am using 8 vectors per token. I switched to SD 1.5 EMA Only model for training.
I could have upscaled the images before extracting the faces so I could reduce blur.
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