pipi-anima-CGgufeng209

工作流运行地址（Workflow execution address）：
https://www.runninghub.cn/post/2064683171064672258 (国内站)
https://www.runninghub.ai/post/2064693013808508929 (海外站）

下载地址：https://civitai.red/models/2706534/pipi-anima-cggufeng209

pipi-anima-CGgufeng209

8 step drawing，
Trigger keyword: pipicg
Sampling method :Euler ; Sampling Steps :10; CFG scale:4.5;
Prompt word: pipicg,masterpiece, best quality, score_7, safe, anime, highres,
Negative prompt：worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia
粉丝福利，注册获得1000分，每日登录100分，玩4090！体验48G的超强力量！
国内站：https://www.runninghub.cn/?inviteCode=16a375b0
海外站：https://www.runninghub.ai/?inviteCode=rh-v1104
企鹅交流群：775425105
Discord： https://discord.gg/WtHCTWCFE5

本模型使用图图的超级智能打标器打标，使用图图的超级训练器训练。训练器超级方便，零门槛上手，全模型支持，开箱即用，零环境依赖，零参数配置，图形界面，资源丰富，对模型训练、提示词反推有兴趣的朋友可以试试。下载地址：zhaotutu.xyz

Created with Tutu AI Workflow
Tagged with Tutu Annotator. Trained with Tutu Trainer.
This LoRA is part of my Tutu AI workflow. Tutu Trainer is used for LoRA training, model resource management, parameter presets, and training checks. Tutu Annotator is used for dataset annotation, prompt reverse engineering, English-friendly tags, and cleaner searchable captions

Official website: https://zhaotutu.xyz/
Tutu Trainer: https://zhaotutu.xyz/downloads/tututrainer/
Tutu Annotator: https://zhaotutu.xyz/downloads/tutuannotator/
Bilibili: https://space.bilibili.com/431046154
YouTube: https://www.youtube.com/@zhaotutu/videos
Telegram: https://t.me/zhaotutu
TikTok: https://www.tiktok.com/@zhaotututu
GitHub: https://github.com/zhaotututu
Email: bigpox12@gmail.com
QQ: 331506796