快速上手 | Quick Start

这是什么？ | What is this?

• People's Works 是一个免费的入门级插画模型系列，专注于中、近景风格化人像生成。这个模型的数据集由数千张AI社区用户发布的图片和作者使用AI合成的图片构成，经过人工编辑和标注后用于训练。除此之外还有一个由真实照片、游戏CG构成的辅助数据集。

• People's Works is a free, entry-level illustration model series specializing in stylized portrait generation, primarily focused on medium and close-up compositions. The dataset consists of several thousand images published by AI community users, along with images synthesized by the author using AI. These images were manually edited and annotated before being used for training. In addition, there is an auxiliary dataset composed of real photographs and game CGs.

模型功能 | Model features

• 风格化：使用 ppw 触发一种介于写实和漫画之间、采集自 Pony v6 的特定风格，并且对 flat color, no lineart, realistic 等风格/绘画肌理tag进行优化。

• 质量与审美提示词：对 masterpiece, very aesthetic, best quality 三个modifier进行了优化。

• 人物精细化控制：在训练集中增加了对人物的族裔、年龄的训练。增加生成人像的多样性。

• 使用高清训练素材，支持1024 - 1536分辨率生成。

• Stylization: Use ppw to trigger a distinctive style between realism and anime illustration originate from Pony v6. The model is also optimized for specific style and texture tags, including flat color, no lineart, and realistic.

• Quality & Aesthetic Modifier: Optimized for following modifier tags: masterpiece, very aesthetic, best quality .

• Detailed Character Control: The training dataset includes increased coverage of ethnicity and age, improving the diversity of generated portraits.

• Trained with high-resolution images and supports generation at resolutions between 1024 - 1536.

使用方法 | Usage

快速开始：直接将这行tag放在prompt开头：

Quick Start: Place these tags at the beginning of your prompt:

ppw, masterpiece, best quality, very aesthetic

(v10.5 updated)

以下是所有已训练概念的列表 | Below is a list of all trained concepts:

触发风格 | trigger stylization: ppw,

肌理 | texture tags: flat color, no lineart, realistic,

质量与审美提示词 | Quality & Aesthetic Modifier: masterpiece, best quality, very aesthetic,

年龄控制 | Age Control: child, teenage, adult, mature,

族裔 | Ethnicity: Anime, Asian, Caucasian, African, Indian,

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，其中上千张图片经过人工的编辑、对细节瑕疵进行修正。

• 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。

• 请注意本模型的数据集由一个为约5000张AI图像构成的训练数据集和一个超过2000张图像构成的辅助数据集组成。其中，主数据集的图片大部分收集自AI社区。辅助数据集则包括公开的新闻图片、游戏CG和宣传图、3D渲染图和已购买的商业写真等。辅助数据集仅用于学习光影色彩、构图术语、人体解剖特征等一般通用知识，使用本模型不能还原辅助数据集中的版权内容。当前法律对这类数据的使用没有明确的统一规定，请有商用意向的本系列模型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ID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 was manually reviewed, categorized, and annotated by the author. Among them, more than a thousand images were additionally hand-edited to manually correct fine-detail visual defects.

• 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.

• Please note that this model’s dataset consists of a primary training set of approximately 5,000 AI-generated images and an auxiliary dataset of over 2,000 images. The majority of images in the main dataset were collected from AI communities. The auxiliary dataset includes publicly available news photographs, game CGs and promotional images, 3D-rendered images, and purchased photo sets.

  The auxiliary dataset is used solely to learn general-purpose knowledge such as lighting, composition terminology, and human anatomical features. This model cannot reproduce or restore copyrighted content from the auxiliary dataset. As current laws do not provide a clear, unified standard for the use of such data, users who intend to use this model for commercial purposes should be aware of and assess the associated legal risks on their own.

  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.