<h1>⚠warning</h1>Only Hammann appears! And before the Retrofit ! ! !This is LoRA. LoHa and DB are uploaded at almost the same time, so please be careful not to make a mistake.<h1>👍Model</h1>Some adjustments are required, but all fit well.<ol><li>AOM</li><li>7th layer</li><li>HeavenOrangeMix</li><li>kawaiDiffusionSD15_v4Nsight</li><li>linneamix</li><li>paleyMIX</li><li>Animelike Series (no longer exists in Civitai) [DELETED]</li><li>sita7taker</li></ol><h1>Trigger Word</h1>hammann_\(azur_lane\),1girlThe words are the same as LoRA and LoHa, so I will use the same explanation!Basically, the higher the percentage, the stronger the influence."solo" and "white_background" are also 100% triggers, but you should use them depending on the situation. Because "white_background" is strange even though the background is the ocean, isn't it?<img src="https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9e016c15-6cda-4491-7908-8153e706b400/width=525/9e016c15-6cda-4491-7908-8153e706b400.jpeg" /><h1>QA</h1>Q. What is version AdaFactor...?The scheduler is different when learning.Lion did not learn well 😭Q. Is it necessary to divide into DB, LoRA, and LoHa?Since the number of learning is very small, it was necessary to make up for it by branching 😭Also, LoRA and LoHa are not perfect. DB+LoRA is a good option for those who don't know "LoRA Block Weight". Of course, for advanced users, LoHa may be enough!Q. Ret...No Retrofit Hammann! ! It's not in the dataset!Q. Where is the Retrofit version?Not now 😭 I might make one someday, I might not make it 😑

Hammann Not Retrofit (Azur Lane) LoRA

filename-&gt; Hamuman_AdaFactor.safetensorsAs you can see, it's a typo!Beware those who specify LoRA at the prompt! ! !

Files with SHA256: 31c9f5dab65e25fb478a1a8c114bd1ebe88f51dbd5289cded0c9190104d5b509