This model depicts an male human masturbating in various positions (standing / sitting / kneeling) in a third person's view.
Promt example:
"In a crowded soccer stadium arena a nude male is jerking off in a seated position. He is sitting among the audience of a soccer game. He is grabbing and stroking his own penis using one hand, which moves back and forth rapidly. The audience conists of adults. The soccer game is visible in the background."
Usage:
0.8 strength (double blocks)
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Hi everyone, I love this community and I'm happy to give something back, although I don't have deep knowledge neither about training or the terminology used to describe it. This is my fist Lora and any kind of suggestions for improvement is appreciated, as I think I will continue my journey. So please help me out on the questions at the bottom of the text, if you could spare the time.
About This Lora: It is the 4th iteration:
3250 Steps 255 Epochs. Trained on a 4070 Ti Super (16gb) in about 8 hours.
The dataset consists of 15 Video clips: Each encoded to following properties:
512x512 / 24fps / 65 frames per clip
The dataset consist of men masturbating in different positions aged around 20 - 40.
They are mostly viewed from the side and front. No POV footage.
Most of the clips do not show the males face. There were 2 cowboy-shot / closeup clips in the mix.
The majority of the caption contains mainly:
"A nude male is jerking off in a kneeling/standing/seated position. He is standing/kneeling/sitting on a bed/couch/the floor. He is grabbing and stroking his own penis using one hand, which moves back and forth rapidly."
Trained with: musubi_Hunyuan_Lora_Tuner / toml file:
resolution = [256, 256]
batch_size = 1
enable_bucket = true
bucket_no_upscale = false
target_frames = [1, 25, 45]
frame_extraction = "head"
Beginners questions:
As I already read through a few guides, some are not really
speciffic on what learning rate is "too high", or how many epochs should be enough,
so I left everything as it was and kept adding epochs ot the weights This is what I used:
Is it appropriate for the dataset given above? What can help to improve the model /speed?
Learning Rate: 1e-4
Gradient Accumulation Steps: 4
Blocks to Swap: 20
Training Alpha (1-128): 16
Thanks to: The guide by ttplanet and the guidance of tdwr434:
https://civitai.com/articles/10335/hunyuan-video-lora-trainning-with-gui-in-windows
https://civitai.com/models/1087616/hunyuanvideo-pov-missionary