T-ponynai3

<p>这个版本训练素材减少了，由于v4的失利，所以我开展了另一个项目，以来从一个小的显存占用的角度来测试我的想法，就是训练了四个不同画风的适配于T-ponynai3的画风lora，当然原始模型也上传了civitai。在测试完适配性后，我便开始将这四组不同的画风作为添加剂训练进T-ponynai3-v5。令人惊讶的是，v5的线条质感好了一个大档次，应该是我训练了一个很细腻的素材的缘故，对于这四个画风的打标，我使用了style_1到style_4的提示词，遗憾的是，不知为何，这四个画风并没有各自分开，或者是效果微弱，反而很好的融合进了原始画风。尽管没有达到支持多个画风的目的，但是很好的将原始的nai3画风的质感提升了一个档次，或许下个版本可以尝试更进一步。（我很喜欢打游戏，每次训练的时候不能玩电脑游戏对我来说太难了）</p><p>The training materials for this version have been reduced. Due to the failure of v4, I launched another project to test my idea from a small perspective of memory usage, which is to train four different art styles of Lora adapted to T-ponynai3. Of course, the original model was also uploaded to Civitai. After testing the adaptability, I started training these four different art styles as additives into T-ponynai3-v5. Surprisingly, The line texture of v5 has improved to a high level, probably because I trained a very delicate material. For the marking of these four art styles, I used the prompt words from style_1 to style_4. Unfortunately, for some reason, these four art styles were not separated or the effect was weak, but rather integrated well into the original art style. Although it did not achieve the goal of supporting multiple art styles, it effectively elevated the texture of the original Nai3 art style to a higher level. Perhaps the next version can try to take it even further. (I really enjoy playing games, and it's too difficult for me to play computer games every time I train.)</p>

tPonynai3_v5.safetensors

v6.5

v6.1

v5.5

v5.1(weight optimized)

v4.1 (Optimized from v4)

v3.5

v3.0

v2.0

v1.0

Files with SHA256: 61cc7615e223fda0875936742a4a85760e13759b12c1b30db15a9ab4fadc5a5e