T-ponynai3

<p>这个版本使用了798张图片作为训练素材，并使用3090显卡训练了90个小时。这个版本相较于v3.5在某些prompt下的构图以及对于某些部位的刻画更加正确，比如手指部分的重影以及一些身体部位的重叠。在prompt方面，我还是以中等长度以及稍短长度的prompt作为主要的训练目标，毕竟谁都不喜欢写一长串的prompt才能生成质量好的图是吧？在去掉pony的美学得分的质量prompt后，图像的质量相比v3.5有很高的提升，出图的质量会偏向于更加平面而非立体的画面，更加接近于经典的动漫画风。对于图片数量对于ponyv6的微调效果的测试接近尾声，下一步就是从prompt的训练标签入手，尝试在pony有限的单次训练素材数量里面添加更多可调控的prompt（例如将美学评分加入进去，现在的训练逻辑还是用主流的质量词去覆盖掉pony的美学得分质量词），并且会持续增添合适的新训练素材，例如场景的训练素材以及更多的足部训练素材（v4的足部训练素材似乎有点少了）。</p><p>This version used 798 images as training materials and trained for 90 hours using a 3090 graphics card. This version has a more accurate composition and depiction of certain parts in certain prompts compared to v3.5, such as ghosting of fingers and overlapping of some body parts. In terms of prompts, my main training goal is to use medium and slightly shorter prompts, as nobody likes to write a long string of prompts to generate high-quality images, right? After removing the quality prompt of Pony's aesthetic score, the image quality has been significantly improved compared to v3.5, and the resulting quality tends to be more flat rather than three-dimensional, closer to the classic anime style. The testing of the fine-tuning effect of Ponyv6 on the number of images is nearing completion. The next step is to start with the training labels of prompts and try to add more adjustable prompts to Pony's limited number of single training materials (such as adding aesthetic scores, the current training logic still uses mainstream quality words to cover Pony's aesthetic score quality words), and continue to add suitable new training materials, such as scene training materials and more foot training materials (v4's foot training materials seem to be a bit scarce).</p>

tPonynai3_v4.safetensors

v6.5

v6.1

v5.5

v5.1(weight optimized)

v4.1 (Optimized from v4)

v3.5

v3.0

v2.0

v1.0

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