MIST XL Hyper Character Style Model 角色风格模型加速版 AiARTiST
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模型描述
MIST XL 角色风格模型 AiARTiST
训练底模使用：Pony Diffusion V6 XL
直达链接：Pony Diffusion V6 XL - V6（请从此版本开始）
模型清单：https://www.liblib.art/search?keyword=AiARTiST
开源模型 UNIT-lib XL（已包含1GIRL权重，叠加使用可增强人像效果）：
AiARTiST XL 基础单元 CADS2 LoRA 兼容版（境内链接）
https://www.liblib.art/modelinfo/b10dfccc06f34dfa9031f1d070d846ee
UNIT-lib XL 开放会员下载，支持模型融合，会员还可享受在线加速生成
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内置加速器 Accelerator：Hyper-SDXL | 闪电级渲染速度
Hyper-SD 是最新的扩散模型加速技术之一，无损高清加速，与 ControlNet 兼容性良好。
经多个底模实测，Hyper-SD 能在加速后生成比原版更丰富的画面细节！
Hyper-SD is one of the latest diffusion model acceleration technologies, with lossless high-definition acceleration and good CN adaptation.
After actual measurements on multiple base models, Hyper-SD can derive more screen information than before acceleration!
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触发词 Triger Word：1GIRL, Any_Girl
生成参数参考：
parameters
This photo shows a chinese woman wearing a warm and textured sweater, holding a steaming cup in her hand. She sat in the dimly lit room, with soft golden lights illuminating her side. The lady is braiding her hair, seemingly fully focused on this moment, perhaps savoring the aroma of the drink. The background has a rural feel, with a plant in the vase and textured wall
Negative prompt: NSFW
Steps: 10, Sampler: Euler a, CFG scale: 2, Seed: 3573086999, Face restoration: CodeFormer, Size: 640x1280, Model hash: db0525a2bc, Model: AiARTiST-MIST-HYPER.fp16, Denoising strength: 0.4, ADetailer model: face_yolov8n.pt, ADetailer confidence: 0.3, ADetailer dilate erode: 4, ADetailer mask blur: 4, ADetailer denoising strength: 0.4, ADetailer inpaint only masked: True, ADetailer inpaint padding: 32, ADetailer version: 23.11.1, Hires upscale: 1.5, Hires upscaler: Latent, kohya_hrfix_enabled: True, kohya_hrfix_block_number: 3, kohya_hrfix_downscale_factor: 2, kohya_hrfix_start_percent: 0, kohya_hrfix_end_percent: 0.35, kohya_hrfix_downscale_after_skip: True, kohya_hrfix_downscale_method: bicubic, kohya_hrfix_upscale_method: bicubic, Mask blur: 4, Inpaint area: Only masked, Masked area padding: 32, Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
后期处理
Postprocess upscale by: 2, Postprocess upscaler: R-ESRGAN 4x+
It is recommended to use the sample picture prompt words directly, and then add modified detail words as needed.
「建议直接使用样图提示词，然后根据需要增添修改细节词」
推荐采样步数：10｜CFG scale：1｜VAE Automatic（内置VAE）｜Clip Skip：1
推荐采样方法：Euler A、DDIM、DPM++ 2M Turbo
Hyper 采样步数：10｜CFG scale：2｜Clip Skip：1
Hyper 采样器：Euler A
推荐分辨率：任意
2 步流程：Text2img 长边 1280 → 发送至 img2img，重缩放 0.4–0.5，放大 1.5 倍
若用于出版等高分辨率需求，可发送至「Tiled Diffusion」或「后期处理」进行放大
图片后期处理高清化设置：8x_NMKD-Superscale_150000_G（可叠加）
4x-UltraSharp 或 R-ESRGAN 4x+ Anime6B
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More words
As of 2024, there are still many friends who don’t know much about XL. They think that online image generation is slow and that you need to record tags when publishing images.
In fact, these are concepts left over from outdated tutorials. First of all, I tested the online drawing today and found that the drawing speeds of XL and 1.5 are almost the same.
Secondly, XL benefits from a larger number of parameters and a double text layer design. In fact, it can generate most drawing styles based on the base model color.
Even if some concepts are locked through LoRA, the required screen elements can be changed arbitrarily through prompt words. There is also an automatic translation tool in lib online.
SDXL is a form between the commercial model and the 1.5 community model. It does not require too many LoRA combinations or complex prompt words.Negative words, all you need is your creativity and aesthetic taste. Even by redrawing from graph to graph, you can get very good results.
In addition, I always hear a voice saying that XL's ControlNet model is not easy to use. As of May 2024, the SDXL ecosystem has more than 20 mature CN models, and the number is still increasing.
Soft and hard edges, Openpose, depth and normal maps, line drawings, straight lines, graffiti, various face-changing plug-ins, and high-definition redrawing are all available.
For problems such as artifacts and image quality degradation that are prone to occur in XL's CN controller model, it can be optimized by appropriately reducing CFG and increasing the number of steps.
后话
截止到2024年，还是有很多朋友对XL不是很了解，以为在线生图慢，出图需要记标签。
其实这些都是过时教程遗留下来的观念，首先今天我实测了Lib在线生图，XL和1.5出图速度相差无几。
其次，XL得益于较大的参数量和双文本层设计，其实根据底模特色，自身已经可以生成绝大多数绘图风格。即便是通过LoRA锁定了部分概念，也可以通过提示词任意变更所需的画面元素，lib在线还有自动翻译工具。SDXL就是介于商业模型和1.5社区模型之间的一种形态，不需要过多的LoRA组合，也不需要复杂的提示词、负面词，需要的只是你的创意和审美品味。即便是通过图生图重绘，也可以获得非常好的结果。
另外，还总听到一种声音，说XL的ControlNet模型不好用什么的。截至2024年5月，SDXL生态已经有20多款成熟的CN模型，数量还在不断增加。软硬边缘、Openpose、深度与法线贴图、线稿、直线、涂鸦、各种换脸插件、高清重绘一应俱全。对于XL的CN控制器模型容易出现的伪影，画质下降等问题，可以通过适当降低CFG，提高步数来优化。
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模型用途声明：
您不得将此模型及其衍生版本（如融合模型版本）托管于计划赚取收入或接受捐赠的网站/应用程序。
您不得直接售卖此模型及其衍生版本（如融合模型版本），除非您对此模型进行了足够程度的人工修改，使其在法律意义上可被完全判定为您的个人作品。若您违反本条，一切法律后果由您自行承担，本人概不负责。
您不得使用该模型故意制作或传播非法或有害内容，请遵守公序良俗，将此模型用于积极正面的用途。
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境内推荐SDXL Hyper加速模型：AiARTiST-CADS2.0 XL 商业广告辅助系统（企业定制）
直达链接：https://www.liblib.art/modelinfo/a56ebacdba7d4e30b97bb124bc3fc28f
模型清单：https://www.liblib.art/search?keyword=AiARTiST
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测试问题请留言，业务合作请查看个人主页 +V Zyuan980
AiARTiST | Metaverse 中国·山东 数字人/AiGC/元宇宙方向
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联系方式：https://afdian.net/a/AiARTiST-lib
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