快速上手 | Quick Start

这是什么？ | What is this?

• Pony: People's Works（ppw）是一个微调模型系列，其数据集约85%来源于CivitAI上用户发布的AI生成图像。本系列模型的主要功能是使基础模型在不使用画师关键词、较少质量提示词的情况下，仍能获得相对稳定的图像质量，从而为提示词节省token空间。

  早期ppw的数据集最初基于pony v6生成的图像构建，但它并非一种画风LoRA。在不同提示词和生成条件下，可能会出现细微的风格差异。

  Pony: People's Works (ppw) 是一个实验性的微调模型系列，约85%的数据来自CivitAI上用户发布的AI生成图像。本系列模型的主要作用是让基础模型在不依赖画师关键词或冗长质量提示词的情况下，获得相对稳定的图像质量，从而释放提示词的token空间。

  尽管原始ppw的数据集基于pony v6生成的图像构建，但它并非一种风格LoRA。在不同提示词和生成条件下，可能会出现微妙的风格差异。

• 本页面发布的是ppw的低维LoCon版本。该版本的ppw可灵活搭配各类功能LoRA和基础模型，且占用更小的存储空间，主要供存储空间有限的用户进行本地生成使用。

  本页面提供的是ppw的低维LoCon版本。这些版本的ppw可灵活与各类功能LoRA及基础模型结合使用，同时占用更少的存储空间，主要面向存储容量受限的用户用于本地生成。

  大尺寸LoCon | larger size LoCon 大模型版本 | Ckpt ver.

使用方法 | Usage

positive:

masterpiece, best quality, very aesthetic

negative:

low quality, displeasing

更新记录 | Change log

v8

肌理更新：强化了以下tag的学习：

Texture Update: The following tags have been reinforced in training:

realistic, photorealistic, flat color,

shiny skin, matte skin, shiny hair,

请注意，在danbooru数据集中存在多个用于描述“照片”和“接近照片风格”的标签。我在训练集中统一将这些图像标注为“photorealistic”。然而，大多数基于danbooru数据集训练的SDXL模型并不能很好地生成写实图像，因此“photorealistic”仅建议在低权重下用于调整画面肌理，而非生成真实感图像。

“realistic”标签在高权重下可正常运作。

Please note that Danbooru dataset contains multiple tags to describe "photo" or "photo-like styles". I’ve tagged all such images as “photorealistic” in dataset.

However, most SDXL models trained on the Danbooru dataset do not render realistic images well.
“photorealistic” is only recommended at low weight, where it can help adjust texture rather than create realism images.

The “realistic” tag can work properly at higher weight.

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。作者不通过模型出售获取任何报酬。作者不限制本系列模型用于商业图像生成服务或生成图像用于商业用途，但请注意配合使用的Checkpoint和其他LoRA的许可证限制。

• 此数据集中约90%-95%为AI生成图像，但请注意其中约250+张图像来源于公共媒体、新闻媒体和出版物，用于概念补充。未来版本将逐步替换这些素材。有商业用途意向的用户请自行评估相关风险。

  本数据集未训练任何独立画师的数据，也未标注任何画师信息（不排除AI误标的可能性）。

• 此外，本模型禁止用于闭源商业用途、模型售卖，也禁止用于闭源商业模型的融合。对于开源融合模型用于生成服务的情况无限制，但建议标注融合模型的来源。

• 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.