--Updated-----------------------------------------------当时训练模型还有很多不成熟的地方，现在测试起来问题还挺多的比如概念的融合，虽然有各种方法来减轻这种问题，但这是无法完全避免的问题。分开训练可能才是最好的方法。这个模型无论是泛化度还是拟合度都应该更好，相比最初的模型，它唯一的缺点是需要更多的触发词唤醒。At the time, there were still many immaturities in the training of the model. Now when testing, there are still quite a few problems.For example, concept fusion - although there are various methods to mitigate this issue, it is an unavoidable problem. Training separately may be the best approach after all.This model should have better generalization and fitting capabilities compared to the initial model. Its only disadvantage compared to the original is that it requires more trigger words to activate. <hr />Strongly recommend enabling Hires.fix, the Lora weight can be set to 0.5-0.9. If there are requirements for changing clothes, it is recommended to set the weight to 0.6 or lower.Default skin:arknights_mint,long hair, black thighhighs,white dress,grey hair,blue eyes, black ribbon, cat girl, hair ribbon, ribbon, bangs,ahoge"yuexiao"skin: arknights_mint_yuexiao,japanese clothes,hair flower,wagashi,sash, long sleeves,obi强烈建议打开高清修复，lora权重可以设置为0.5-0.9，如果有更换衣服的要求，建议降权重设置为0.6或更低。原始皮肤 arknights_mint,long hair, black thighhighs,white dress,grey hair,blue eyes, black ribbon, cat girl, hair ribbon, ribbon, bangs,ahoge月宵皮肤 arknights_mint_yuexiao,japanese clothes,hair flower,wagashi,sash, long sleeves,obi

Arknights Mint 明日方舟 薄绿

当时训练模型还有很多不成熟的地方，现在测试起来问题还挺多的比如概念的融合，虽然有各种方法来减轻这种问题，但这是无法完全避免的问题。分开训练可能才是最好的方法。这个模型无论是泛化度还是拟合度都应该更好，相比最初的模型，它唯一的缺点是需要更多的触发词唤醒。At the time, there were still many immaturities in the training of the model. Now when testing, there are still quite a few problems. For example, concept fusion - although there are various methods to mitigate this issue, it is an unavoidable problem. Training separately may be the best approach after all.This model should have better generalization and fitting capabilities compared to the initial model. Its only disadvantage compared to the original is that it requires more trigger words to activate.

Files with SHA256: f9014574b0ee0341126f7b9571898ccb0a113d247962aebf3b608388a35e3a6c