1 repeat, 100 epoches, saving each every 20 epoches, totalling 5 epoches. cosine with restarts, 5 total cycle, synchronizing with each saving epoches. 1e-4 unet learning rate, zero text encoder learning.256/256 network/convolution dimension and alpha.trained on illustrious 2.0 base model.enabling random crop, original resolution artwork, tagged with wd14 swin v2 tagger v3. tagging threshold ~0.1 to 0.25the key ingredient is an extra set of manual cropped dataset, the artwork is cropped to eye-&gt;face-&gt;portrait-&gt;upper body, in order of priority, depending on the available resolution, how large the image is.

キンタ kinta_(distortion)

02.safetensors

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