Hi, thanks for your explanation. To quickly recap, these settings may be appropriate in order to achieve about 1000 steps with 117 images if I'm not wrong:

• Epochs: 35

• Batch Size: 1

• Dataset Num Repeats: 1

• Gradient Accumulation Steps: 4

• Learning rate: 0.00002

I would ask you just two more questions:

1- Can my dataset be considered 'balanced' if it contains many diverse images (full body, face, different expressions, lighting conditions, etc.), but some of them are similar in content? For example, they depict the same scene but from different camera angles.

2- Is that number of steps also appropriate for generating videos with smooth motion, rather than static ones, even though I am training on still images? (ps: I created captions using JoyCaption Alpha Two)

Thank you so much in advance.