This lora can be used with t2v or i2v.
The v2 version can possess the target in physical or ghost form.
In the "About this version" section you can find a list of the most frequent nouns and verbs in the training set.
If the possession effect does not work, consider increasing the high-noise LORA; if there is contamination to other detail-enhancing LORAs, try lowering the low-noise LORA.
Possession. A man enters a woman's body and possesses her. The woman experienced pain and severe tremors after being possessed, but then returned to normal.
v2: Expand and clean the dataset, then adjust the training parameters and retrain with the help of Gemini Pro.
v1: Attempted to train my first LORA, using Smiles_wx porting trainer, the Windows version of diffusion-pipe, from https://www.bilibili.com/video/BV1dJtFz2EGD/
这个lora可使用在t2v或是i2v。
v2 版本可以以实体或幽灵形态附身目标。
在"About this version"部分,你可以看到训练集中频率最高的名词与动词清单。
如果没有附身效果,可以考虑增加高噪LORA;如果对其他细节增强型 LORA 造成污染,请尝试降低低噪LORA。
附身。一名男子进入一名女子体内并附身。该女子被附身后感到疼痛和剧烈颤抖,但随后恢复正常。
v2:扩展并清理资料集,然后借助 Gemini Pro调整训练参数并重新训练。
v1:尝试使用 Smiles_wx 整合的训练器(Windows 版的 diffusion-pipe)训练我的第一个 LORA,该训练器来自 https://www.bilibili.com/video/BV1dJtFz2EGD/
The 15 most frequent nouns in the dataset:
woman - 13 times
body - 13 times
man - 8 times
white - 8 times
clothes - 6 times
possession - 4 times
blue - 3 times
mist - 2 times
orange - 1 time
green - 1 time
leather - 1 time
volleyball - 1 time
yellow - 1 time
sofa - 1 time
The most frequent verbs in the dataset:
dissapears - 13 times (typo)
enters - 12 times
turns - 2 times
entered - 1 time
playing - 1 time
lying - 1 time
Go ahead and upload yours!
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