Type | |
Stats | 1,743 4,106 |
Reviews | (362) |
Published | May 16, 2023 |
Base Model | |
Training | Steps: 3,000 Epochs: 15 |
Trigger Words | wheeze, wheeze meme, laughing, upper body |
Hash | AutoV2 8182E337F0 |
Wheeze meme template. I have trained it thrice and experimented, though it maybe requires more tests. For now, this can be V1, and maybe in the future, if I can get it a bit more reliable and compatible with other loras, I'll release a V2.
For recommended settings, I'd say:
Keep it between 0.6 and 1, and experiment between that range. Going back to compatibility, the same weight range applies.
Some loras work well with just their tokens, some with tokens and descriptions, and others simply fail. Basically, it is HIGHLY situational.
Rectangular images can get pretty wild by default, and the same happens with this, despite the usual format of the meme. You should try to keep it to 512x512, but going slightly above that in WIDTH ONLY should be fine.
I would not recommend high step counts. Maybe stay between 12-25 steps.
I would also recommend using a model that favors 2d styles and nothing too realistic. Remarkably, it can still have a fairly decent effect on realistic models, but 2D-based checkpoints are more reliable imo.
WARNING: Upon rechecking, I must tell you this was trained as a LOHA. Loading issues may arise, but all I can say is check to make sure you have the Lycoris framework extension or whatever installed.