epoch 37; it was trained to 62 epochs but looks very over-trained and it loses coherency




Trained against frames from tv commercials recorded onto VHS from my youtube channel, @Dadsweathertapes. Frames were upscaled from SD footage and retained haloing, chroma issues, and other VHS artifacts. The VHS tapes were digitized in the last 2 years for the above youtube channel, using a standard 4-head consumer VCR and a Collossus II input card.
Training data used for this particular LoRA were dated 1994 through 1999.
Dataset preparation using random segments of video were prepared using scripts from my github - https://github.com/akspa0/dataset-tools/blob/main/video/randomSampler/videosampler2x6.py
epoch 37; it was trained to 62 epochs but looks very over-trained and it loses coherency
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