强烈建议使用中文自然语言生成，英文单词的prompt效果很差。如果暗示全身（比如写进鞋子、脚之类的词）以后需要调整合适的长款比，否则图片装不下全身容易产生奇怪的肢体错误。建议分辨率（纵图横图皆可）：864*1152*2、864*1536*2、1024*1024*2、1280*1280*2CFG：3.5（线条细腻饱和度低）或4.0（线条较粗饱和度高）采样方法：DPM++ 3M SDE Karras高清修复模型：4x-AnimeSharp高清重复幅度：0.35Vae：已内置Vae，选自动即可负面提示词：空着（不需要马屁词）如果有不想出现的东西也可以单独写风格触发词：通常来说不需要触发词，如果需求则添加触发词，二次元动漫风格（当出现较多写实关联词是会激活可图官模的概念，如果仍需要维持二次元风格，可追加此风格提示词）、一个女孩，男青年（年龄样貌年轻）一个女子，男子（年龄样貌成熟）。出小孩，则写小男孩或者小女孩。It is strongly recommended to use Chinese natural language generation, as English word prompts may be have poor effects.If the full body is implied (for example, by including shoes or feet in the description), it's necessary to adjust the aspect ratio appropriately; otherwise, the image may not be able to fit the entire figure, which could lead to strange limb errors.Suggested resolutions (both vertical and horizontal images are acceptable): 864*1152*2、864*1536*2、1024*1024*2、1280*1280*2CFG (Classifier-Free Guidance Scale): 3.5 (for fine lines and low saturation) or 4.0 (for thicker lines and higher saturation)Sampling Method: DPM++ 3M SDE KarrasUpscaling Model: 4x-AnimeSharpHigh-Resolution Denoising Strength: 0.35VAE : A built-in VAE is available, so selecting 'Auto' is sufficientNegative Prompt: Leave blank (no need for any quality words); if there's something you don't want to appear, it can be specified separatelyStyle Trigger Words: In most cases, style trigger words are not needed; If it is necessary, add Anime-style (When there are many realistic-related terms, this will activate the concept of the official model; if you still want to maintain an anime style, you can add these style trigger words), 1girl, young man (young appearance), a woman, man (mature appearance). 未来可图|优可可图二次元模型是优可可图系列模型的第一个模型，遵从可图Apache License 2.0开源协议，代号Youkengi Anime Base Kolors 。为了更好更快地助力中文模型生态发展，本模型完全开源，基于本模型做出的转载、微调/融合只需注明出处。Kolors|Youkengi Anime Base is the first model in the Youkengi series of models in Kolors, adhering to the Apache License 2.0 open-source agreement. To better and more quickly promote the development of the Chinese model ecosystem, this model is fully open source. Any redistribution, fine-tuning, or fusion based on this model only requires crediting the source.模型能力评价：1. 能够以较稳定且精美的二次元风格出图：基本画风精细的二次元风格，细节适中。虽然realistic,3D rendering等tag依然有效，但低权重下仍然会带有强烈的二次元风格；2. 天然好手和较好的肢体：类似于石头、剪刀、布、比爱心、握持等手型表现较好。不指定手型时表现略差，但已大幅强于可图官模；在合适的长宽比下，肢体比较好，反之容易产生奇怪的肢体错误。3. 极强的文本理解力、中国本土概念较好：可以理解SDXL无法理解的高难度prompt，有较多国外模型没有的的中国本土概念和古诗词的理解能力；4. 支持中文，容易上手：可以直接用中文白话输入提示词，妈妈再也不用担心老是遇见不认识的单词了，不需要负面prompt；5. 极强的lora结合能力：基于可图模型很强的泛化性，同时炼制的时候注意控制了污染，经测试与大多数lora风格的结合较好。因为模型本身曝光较强，唯一不太适合的可能是自带光污染的lora。6. 较强的自然构图能力：以牺牲少量手和肢体表现为代价加强了自然构图能力，在通常没指定动作的情况下画的角色不会十分呆板的站在原地，双手下垂，而是会随机出现一些动作，使画面更加生动。Model Capability Evaluation:<ol><li>Capable of producing images in a stable and exquisite anime style: The basic art style is detailed in its anime aesthetics, with moderate detail. While tags like realistic and 3D rendering are still effective, they maintain a strong anime style even at low weights.</li><li>Naturally good hands and decent limbs: Hand poses such as rock-paper-scissors, heart gestures, and holding objects are well-represented. Performance is slightly worse when hand poses are not specified, but it's significantly better than the official Youkengi models. Limbs perform well under appropriate aspect ratios; otherwise, there can be odd limb errors.</li><li>Excellent text comprehension and good understanding of Chinese local concepts: It can understand high-difficulty prompts that SDXL cannot comprehend, and it has a grasp of many Chinese local concepts and classical poetry that are absent in foreign models.</li><li>Supports Chinese and easy to use: Prompts can be input directly in colloquial Chinese, eliminating the worry of encountering unfamiliar words and negating the need for negative prompts.</li><li>Strong LoRA integration capability: Due to the robust generalization of the Youkengi model and careful control during training to prevent contamination, it integrates well with most LoRA styles. The only potential incompatibility might be with LoRAs that introduce their own light pollution due to the model's inherent exposure strength.</li><li>Strong natural composition ability: This is achieved at the cost of slightly reduced hand and limb performance, enhancing the natural composition so that characters drawn without specific action instructions do not stand rigidly in place with their arms hanging down. Instead, they will randomly adopt various poses, making the scene more lively.</li></ol>可图模型（kolors）简介：有较好的中文提示词支持，在训练时的算力相较SDXL更低（仅训练unet），是目前较有希望扩展出完整中文生态的模型架构。可图官方的基础模型本身也具有很强的泛化性，训练结果可以很好地反映到模型上，模型内置了多种图像风格，本身具有很好的综合实力。Introduction to the Kolors Model: It offers better support for Chinese prompts and required less computational power during training compared to SDXL (training only the UNet component). It is currently one of the moSt promising model architectures for developing a complete Chinese ecosystem. The base model provided by Kolors officially also possesses strong generalization capabilities; the training outcomes are well-reflected in the model. It comes equipped with various image styles and demonstrates excellent overall capabilities.后记：（调试记录）V0.1 调整基本二次元画风；V0.2 优化手部表现，修正通常情况难以出现下半身的问题；V0.3 优化自然构图表现，基于文本理解能力优化；V0.4 进一步调整自然构图表现，画风柔和微调；V0.5 调整腰部以下的部位容易出现的肢体错误，损失少量自然构图表现；V0.6 调整画面精细度表现，降低像素不足是出现的脸部崩坏；V0.7 增强模型二次元插画质感，进一步优化手部表现，但由此产生了过曝和细节杂乱的问题；V0.8 修正细节杂乱的问题；V0.9 平衡整体画风，修正前述调整过程中出现的过曝问题；V1.0 调整头身比，提升肢体表现，提升基本清晰度，修正偶发的肌肉错误表现。埋了可追溯模型的隐藏触发词。Postscript: (Debugging Record)V0.1 Adjusted basic anime art style;V0.2 Optimized hand representation, fixed the issue of lower body parts;V0.3 Improved natural composition, optimized based on text understanding capabilities;V0.4 Further adjusted natural composition, softened the art style with minor tweaks;V0.5 Addressed limb errors frequently occurring below the waist, at the cost of some natural composition;V0.6 Improved detail fidelity, reduced facial distortion due to insufficient pixels;V0.7 Enhanced the anime illustration texture of the model, further optimized hand representation, but introduced overexposure and cluttered detail issues;V0.8 Fixed the cluttered detail issues;V0.9 Balanced the overall art style, corrected overexposure issues from previous adjustments;V1.0 Adjusted head-to-body ratio, improved limb representation, enhanced basic clarity, corrected occasional erroneous muscle representation. Implanted hidden trigger words for model traceability.

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