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+# Slop Bounce WAN 2.2 I2V - WAN 2.2 I2V Low
+
+## 📋 模型信息
+
+### 基本信息
+- **模型名称**: Slop Bounce WAN 2.2 I2V
+- **版本**: WAN 2.2 I2V Low
+- **作者**: anonimoose
+- **模型ID**: 1944129
+- **版本ID**: 2209344
+- **发布日期**: 2025-09-12
+- **模型类型**: AI模型
+
+### 📁 文件信息
+
+- **文件名**: `bounce_test_LowNoise-000005.safetensors`
+- **文件大小**: 292.63 MB
+
+### 技术规格
+- **基础模型**: Wan Video 2.2 I2V-A14B
+- **训练步数**: None
+- **训练轮数**: None
+- **文件格式**: SafeTensor/其他
+- **存储目录**: `wan2.2/NEW/Bouncing-Boobs/`
+- **兼容性**: ComfyUI, Automatic1111, Forge等
+
+## 📝 模型描述
+
+Edit 9-12-2025: Added the LoRAs as separate I2V High and Low for people using Runpod or using the online generator or something.Baked a slop LoRA as a test a week ago on my 3090 while waiting for Bouncing Boobs to be updated to WAN 2.2 I2V. Trained sloppily on 7 of my old AI generated videos that were using WAN 2.1 Bounce LoRA using PGC's modified GUI of Kvento's Musubi Tuner GUI with a minor fix for WAN 2.2 I2V training that just made the --i2v toggle only apply to latent cache creation instead of training. Trained for 20 epochs but the uploaded epoch is number 5.Videos were lazily manually tagged likeA white haired woman wearing a micro bikini bounces causing her breasts to bounce, shake, jiggle and sway.So prompting breasts bounce or jiggle will generally work. Not prompting anything specific also sort of works. Prompting something likeher breasts bounce, shake, jiggle and swaywill work.Training data includes the modified musubi_tuner_gui.py for PGC's GUI with the fixed toggle for properly caching latents for i2v as well as the .json and .toml files that contain the dataset settings and training settings. Also has the workflow images for the model page's videos although the videos should also have the Comfyui workflow included for once.
+
+## 🎯 使用说明
+
+### 触发词
+```
+无特定触发词
+```
+
+### 安装步骤
+1. 下载模型文件到本地
+2. 将文件放置到对应目录：
+   - **ComfyUI**: `models/loras/` 或 `models/checkpoints/`
+   - **Automatic1111**: `models/Lora/` 或 `models/Stable-diffusion/`
+3. 重启应用程序
+4. 在界面中选择或加载模型
+
+### 使用建议
+- **推荐权重**: 0.6-1.0 (LoRA模型)
+- **采样步数**: 20-50步
+- **CFG Scale**: 7-12
+- **分辨率**: 建议512x512或更高
+
+### 提示词建议
+```
+正面提示词: 无特定触发词, high quality, detailed, masterpiece
+负面提示词: low quality, blurry, distorted, bad anatomy
+```
+
+## 🔗 相关链接
+
+- **原始页面**: https://civitai.com/models/1944129?modelVersionId=2200388?modelVersionId=2209344
+- **作者主页**: https://civitai.com/user/anonimoose
+- **模型系列**: https://civitai.com/models/1944129
+
+## ⚠️ 使用须知
+
+1. **版权声明**: 请遵守原作者的使用条款和版权声明
+2. **商业使用**: 商业使用前请确认授权许可
+3. **内容安全**: 请负责任地使用AI模型，避免生成有害内容
+4. **技术支持**: 如遇问题请参考原始页面或联系作者
+
+## 📊 模型评价
+
+- **适用场景**: AI生成模型文件
+- **推荐指数**: ⭐⭐⭐⭐⭐
+- **难度等级**: 初级-中级
+
+---
+
+**📅 文档生成时间**: 2025-10-14 07:28:17
+**🛠️ 生成工具**: Civitai增强版下载工具 (支持ZIP解压)
+**📋 文档版本**: v2.0
+**📦 处理方式**: 直接下载
+
+*如需更详细信息，请访问原始模型页面*