20240322 V1.0 同时支持 图像和视频 深度估计
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# ComfyUI-DepthFM
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Unofficial implementation of DepthFM for ComfyUI
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# DepthFM IN COMFYUI
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Unofficial implementation of [DepthFM](https://github.com/CompVis/depth-fm) for ComfyUI
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https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM/assets/140084057/4d4b1e53-130e-449a-a065-5c066355d7b4
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## 项目介绍 | Info
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- 对 [DepthFM](https://github.com/CompVis/depth-fm) 的非官方实现
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- DepthFM:CompVis 推出的 高效 + 多功能 深度估计模型
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- 版本:V1.0 同时支持图像和视频深度估计
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## 节点说明 | Features
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- DepthFM 模型加载 | 🌆DepthFM ModelLoader
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- 手动下载 [depthfm-v1](https://ommer-lab.com/files/depthfm/depthfm-v1.ckpt) 放入 `/ComfyUI/models/depthfm` 中
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- 单图深度估计 | 🌆DepthFM
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- steps:普通建议 2-4 步,精细建议 10 步
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- ensemble_size:越高越准确,高值对显存要求高,一般建议 2-4 左右
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- 注意:图像尺寸需为 64 倍数
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- 多图/视频深度估计| 🌆DepthFM Literative
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- 同时支持 图像 和 视频
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- steps:普通建议 2-4 步,精细建议 10 步
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- ensemble_size:越高越准确,高值对显存要求高,一般建议 2-4 左右
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- - 注意:图像/视频尺寸需为 64 倍数
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## 安装 | Install
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- 推荐使用管理器 ComfyUI Manager 安装(On The Way)
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- 手动安装:
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1. `cd custom_nodes`
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2. `git clone https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM`
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3. `cd custom_nodes/ComfyUI-DepthFM`
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4. `pip install -r requirements.txt`
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5. 重启 ComfyUI
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## 工作流 | Workflows
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V1.0(注:工作流中的着色节点来自于[ComfyUI-Marigold](https://github.com/kijai/ComfyUI-Marigold),非必要)
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- [V1.0 DepthFM img](https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM/blob/main/DepthFM%20Workflows/%F0%9F%8C%86DepthFM%20Image%E3%80%90Zho%E3%80%91.json)
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- [V1.0 DepthFM Literative Video](https://github.com/ZHO-ZHO-ZHO/ComfyUI-DepthFM/blob/main/DepthFM%20Workflows/%F0%9F%8C%86DepthFM%20Literative%20Video%E3%80%90Zho%E3%80%91.json)
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## 更新日志
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- 20240322
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V1.0 同时支持 图像和视频 深度估计
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创建项目
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## 声明
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演示视频未经允许请勿搬运!!!
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## Stars
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[](https://star-history.com/#ZHO-ZHO-ZHO/ComfyUI-DepthFM&Date)
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## Credits
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[DepthFM](https://github.com/CompVis/depth-fm)
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演示视频中芭蕾舞和东京场景原视频分别来自:https://www.youtube.com/watch?v=cU8-rheBciw 、https://openai.com/sora
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