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工作流 / 图像工具 / 深度估计: MoGe
深度估计: MoGe

深度估计: MoGe

Depth Estimation: MoGe

上传一张RGB图像，调整推理分辨率和批次大小。生成彩色深度预览和原始深度图。

图像工具 7 个节点 1 个输入 13 次使用 ComfyUI ≥ 0.22.0 ComfyUI 39 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 1 个权重文件，其中 1 个能在本站模型库里找到。

moge_2_vitl_normal_fp16.safetensors 在模型库查看

节点构成

MarkdownNote × 2
PreviewImage × 2
LoadImage × 1
ca1fac5f-abe5-4729-b7fe-2299f6630a65 × 1
MaskPreview × 1

官方标注的模型

MoGe

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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153 "## moge_depth_estimation\n\n**Single perspective photo -> depth previews + mask**\n\n`Load Image` -> `Depth Estimation (MoGe)`\n\n### Main flow\n- Runs MoGe inference on one source image\n- Renders both colored depth and raw depth previews\n- Converts the rendered `mask` image into a real `MASK` output\n\n### Inputs\n| Control | Meaning |\n|--------|--------|\n| `source_image` | Input RGB image |\n| `inference_resolution` | MoGe detail level `0-9`; higher is slower but keeps more detail |\n| `inference_batch_size` | Passed to `MoGeInference` batch size; use `1` for a single still image |\n| `moge_model` | Model checkpoint loaded by `LoadMoGeModel`; see `Model Link` |\n| `auto_resize_input` | Enables pre-inference resize logic for large images |\n\n### Auto-resize logic\nWhen `auto_resize_input` is enabled, the subgraph checks image width first:\n- width `> 2048`: resize by longer edge to `2048` before inference\n- width `<= 2048`: keep the original image\n\nWhen `auto_resize_input` is disabled, the original image always goes into inference.\n\n### Outputs\n- `depth_colored`: colorized depth preview from `MoGeRender`\n- `depth`: raw depth preview from `MoGeRender`\n- `MASK`: mask rendered by `MoGeRender` and converted through `ImageToMask`\n\n### What `MASK` means\nAccording to the official MoGe repo, `mask` is a **binary mask for valid pixels**.\n\nIn practice, it marks image regions where MoGe believes the geometry is defined and reliable enough to use for downstream geometry results. Regions with undefined geometry, such as sky or other ambiguous areas, are typically excluded.\n\nThis is **not** a foreground segmentation or object cutout mask. It is better understood as a **valid geometry mask**."
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156 "text": "## moge_depth_estimation\n\n**Single perspective photo -> depth previews + mask**\n\n`Load Image` -> `Depth Estimation (MoGe)`\n\n### Main flow\n- Runs MoGe inference on one source image\n- Renders both colored depth and raw depth previews\n- Converts the rendered `mask` image into a real `MASK` output\n\n### Inputs\n| Control | Meaning |\n|--------|--------|\n| `source_image` | Input RGB image |\n| `inference_resolution` | MoGe detail level `0-9`; higher is slower but keeps more detail |\n| `inference_batch_size` | Passed to `MoGeInference` batch size; use `1` for a single still image |\n| `moge_model` | Model checkpoint loaded by `LoadMoGeModel`; see `Model Link` |\n| `auto_resize_input` | Enables pre-inference resize logic for large images |\n\n### Auto-resize logic\nWhen `auto_resize_input` is enabled, the subgraph checks image width first:\n- width `> 2048`: resize by longer edge to `2048` before inference\n- width `<= 2048`: keep the original image\n\nWhen `auto_resize_input` is disabled, the original image always goes into inference.\n\n### Outputs\n- `depth_colored`: colorized depth preview from `MoGeRender`\n- `depth`: raw depth preview from `MoGeRender`\n- `MASK`: mask rendered by `MoGeRender` and converted through `ImageToMask`\n\n### What `MASK` means\nAccording to the official MoGe repo, `mask` is a **binary mask for valid pixels**.\n\nIn practice, it marks image regions where MoGe believes the geometry is defined and reliable enough to use for downstream geometry results. Regions with undefined geometry, such as sky or other ambiguous areas, are typically excluded.\n\nThis is **not** a foreground segmentation or object cutout mask. It is better understood as a **valid geometry mask**."
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264 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [alien_world.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/alien_world.png)\n\n## MoGe — models & downloads\n\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\nResearch repo: [microsoft/MoGe](https://github.com/microsoft/MoGe) (CVPR'25, monocular geometry from a single image).\n\nComfyUI weights: [Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe) → `models/geometry_estimation/`\n\n### Which checkpoint to use\n\n| File | Version | Use when |\n|------|---------|----------|\n| `moge_1_vitl_fp16` | **MoGe-1** | Point map + depth + mask; relative scale. Lighter baseline. |\n| `moge_2_vitl_normal_fp16` | **MoGe-2** | **Recommended.** Metric-scale depth/points, sharper detail, **normal maps** (needed for normal previews & better mesh edges). |\n\nMoGe-2 adds metric scale and normals in one forward pass; MoGe-1 does not predict normals (normals in previews may be derived from points).\n\n### Downloads\n- [moge_1_vitl_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_1_vitl_fp16.safetensors) (599.3 MB)\n- [moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_2_vitl_normal_fp16.safetensors) (631.2 MB)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ └── 📂 geometry_estimation/\n│ ├── moge_2_vitl_normal_fp16.safetensors\n│ └── moge_1_vitl_fp16.safetensors\n```\n\nGuide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n### Issues\nUpdate ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)), then install models.\n- Runtime: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n"
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267 "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [alien_world.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/alien_world.png)\n\n## MoGe — models & downloads\n\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\nResearch repo: [microsoft/MoGe](https://github.com/microsoft/MoGe) (CVPR'25, monocular geometry from a single image).\n\nComfyUI weights: [Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe) → `models/geometry_estimation/`\n\n### Which checkpoint to use\n\n| File | Version | Use when |\n|------|---------|----------|\n| `moge_1_vitl_fp16` | **MoGe-1** | Point map + depth + mask; relative scale. Lighter baseline. |\n| `moge_2_vitl_normal_fp16` | **MoGe-2** | **Recommended.** Metric-scale depth/points, sharper detail, **normal maps** (needed for normal previews & better mesh edges). |\n\nMoGe-2 adds metric scale and normals in one forward pass; MoGe-1 does not predict normals (normals in previews may be derived from points).\n\n### Downloads\n- [moge_1_vitl_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_1_vitl_fp16.safetensors) (599.3 MB)\n- [moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_2_vitl_normal_fp16.safetensors) (631.2 MB)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ └── 📂 geometry_estimation/\n│ ├── moge_2_vitl_normal_fp16.safetensors\n│ └── moge_1_vitl_fp16.safetensors\n```\n\nGuide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n### Issues\nUpdate ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)), then install models.\n- Runtime: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n"
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