Pony: People's Works +

请注意 | Notev7版本对数据集结构做了较大幅度的调整，并且使用了不同的训练参数和训练策略，因此可能v7会不如原来的版本稳定。The v7 version has undergone significant structural adjustments to the dataset, and utilizes different training parameters and strategies. As a result, v7 may be less stable than the previous versions.v-pred模型在civitAI在线生成器上的表现和吐司的在线生成表现完全不一样，相同参数完全无法复现。我也不知道是为什么......The v-pred model's performance on the CivitAI online generator is completely different from online generation on TensorArt. The results are entirely unreproducible with a same parameters. I have no idea why...TensorArt version CivitAI ver. with same parameter on CivitAI with higher weight快速上手 | Quick Start这是什么？ | What is this?这是一个在前作的数据集基础上发展而来的图像质量LoCon，约90%-95%图片数据来自CivitAI上发布的图片。它使模型可以在不使用画师串、使用较少的质量提示词的条件下获得相对稳定的图像质量，节约出更多的token空间，同时它还可以修复一部分模型固有的生成瑕疵。（但是不包括手部）因为数据集选取的原因，生成的图片会带有Pony的质感。但因为它并不指向任何特定的画师、风格和绘画技法，所以在不同的提示词、模型条件下可能会有微妙的画风差异。This is a generation quality LoCon developed based on the dataset from the previous work. About 90%-95% of the image data comes from CivitAI.It allows models to achieve relatively stable image quality without artist tags or using long quality prompts, freeing up more token space. Additionally, it can fix some inherent generation flaws of the model. (except for hands)Due to the dataset selection, the generated images exhibit a Pony-like style. However, since it does not reference any specific artist, style, or painting technique, there may be subtle stylistic variations depending on different prompts and checkpoint conditions.使用方法 | Usage对于基于质量提示词的模型，For models based on quality tags,positive:masterpiece, best quality, very aestheticnegative:low quality, displeasing对于Pony评分体系模型，For models based on Pony scores,positive:score_9, score_8_up, score_7_up, score_6_up, score_5_up,negative:score_3, score_2, score_1, 数据集来源及许可证 | Dataset Source & License数据集中每一张图片都经过作者本人的人工筛选、分类和标注编辑，其中数百张图片经过手工编辑、修正。此模型为免费、开源模型，用户可以在私人设备上自行部署该模型。作者并不从模型出售中获取任何报酬。作者并不限制本系列模型用于商业生成服务或者生成图像用于商业用途，但是请注意配合使用的Checkpoint和其他LoRA的许可证限制。此数据集中约90%-95%数据为AI生成，但是请注意有约250+张收集自公共媒体、新闻媒体和出版物的图像用于概念补充。未来的版本会逐渐更替相关素材。请有商用意向的用户自行注意相关风险。本数据集没有训练任何独立画师的数据，也没有标注任何画师信息（不排除AI错误标注的情况）。另外，本模型不允许用作闭源商用、模型出售，也禁止用于闭源商用模型的融合。对于开源融合模型用于生成服务的情形不做限制，但是建议标注融合模型的出处。Every image in the dataset has been manually selected, categorized, and annotated by the author. Additionally, hundreds of the images have been manually edited and corrected.This model is free and open-source model, allowing users to deploy it on their personal devices. The author does not receive any compensation from selling the model. The author does not impose restrictions on using this model for commercial image generation services or generating images for commercial purposes. However, please be mindful of the license restrictions of the Checkpoint and other LoRAs used alongside this model.Approximately 90%-95% of the dataset consists of AI-generated images. However, around 250+ images have been collected from public media, news outlets, and publications to supplement concepts. Future versions will gradually replace these materials. Users with commercial intentions should be aware of the potential risks.This dataset does not include training data from any individual artist, nor does it contain explicit artist attributions (though AI mistagging cannot be entirely ruled out).Additionally, this model is not permitted for use in closed-source commercial applications, model resales, or merged into closed-source commercial models. There are no restrictions on open-source merged models being used for image generation services, but it is recommended to credit the sources of any merged models.