工作流 /
3D 模型 /
MoGe：全景到网格
MoGe：全景到网格
MoGe: Panorama to Mesh
上传一张等距柱状投影的360°全景图像，生成带有顶点颜色的纹理化GLB网格。
3D 模型
5 个节点 1 个输入 19 次使用 ComfyUI ≥ 0.22.0 ComfyUI 41 KB
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
LoadImage
× 1
94961018-e012-4f04-9891-adc008a73d54
× 1
SaveGLB
× 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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76 "## MoGe — models & downloads\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## Input Asset\n\n- [lego_street_panorama.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/lego_street_panorama.png)\n\n## Model Link\n\n- [Hugging Face:Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe)\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\n**geometry_estimation**\n\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\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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79 "text": "## MoGe — models & downloads\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## Input Asset\n\n- [lego_street_panorama.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/lego_street_panorama.png)\n\n## Model Link\n\n- [Hugging Face:Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe)\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\n**geometry_estimation**\n\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\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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103 "## moge_panorama_to_mesh\n\n**Equirectangular (360°) panorama → textured GLB**\n\n`Load Image` → subgraph `source_panorama` → `Save GLB`\n\nUses **`MoGePanoramaInference`**: 12 perspective views → merge → mesh. Research: [microsoft/MoGe](https://github.com/microsoft/MoGe).\n\nSingle photo workflow: `3d_moge_perspective_to_mesh.json` (`MoGeInference` + depth/normal previews).\n\n### Pipeline\n1. Optional downscale if `auto_resize_input` and width > 2048\n2. Split equirect into **12** crops (90° FOV)\n3. MoGe on each crop (`panorama_split_resolution`, `inference_resolution`)\n4. **CPU merge** — stitch distance maps into one equirect depth (`panorama_merge_resolution`)\n5. `MoGePointMapToMesh` → GLB with vertex colors\n\nMerge disables per-view metric scale; MoGe-2 normals are not stitched. A long **“panorama merge”** progress phase is expected.\n\n### Input\n- **Equirectangular** 360°×180°, usually **2:1** (e.g. 2048×1024)\n- **One** image per run\n\n### Subgraph ports\n| Port | Meaning |\n|------|--------|\n| `source_panorama` | RGB equirect |\n| `inference_resolution` | MoGe detail **0–9** (default 5) |\n| `panorama_split_resolution` | Each crop side length — **GPU** (default 512) |\n| `panorama_merge_resolution` | Merge grid **long edge** — **CPU** (default 1024; never above input size) |\n| `inference_batch_size` | Views per forward, 12 total (default 4) |\n| `mesh_frame_index` | **0** for one panorama |\n| `mesh_decimation` | Vertex stride; **1** = full |\n| `mesh_gap_threshold` | Cull faces at depth jumps; **0** = off |\n| `mesh_texture` | Bake panorama into GLB |\n| `moge_model` | Checkpoint — **Model Link** |\n| `auto_resize_input` | Downscale when width > 2048 |\n\n**Split vs merge:** split = per-view inference sharpness; merge = seam / global depth quality. Example: 4096×2048 + merge **1920** → solve ~1920×960, then upsample to input size for meshing.\n\n### Tuning\n| Goal | Try |\n|------|-----|\n| Faster | resolution 3–4, split 512, merge 768 |\n| Quality | resolution 9, split 768+, merge 2048+, MoGe-2 |\n| GPU OOM | batch 1–2, split 512 |\n| Slow merge | lower `panorama_merge_resolution` |\n\n### Output\n`mesh` → **Save GLB** (default `3d/Moge`). Spherical glTF mesh — view from inside the sphere."
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106 "text": "## moge_panorama_to_mesh\n\n**Equirectangular (360°) panorama → textured GLB**\n\n`Load Image` → subgraph `source_panorama` → `Save GLB`\n\nUses **`MoGePanoramaInference`**: 12 perspective views → merge → mesh. Research: [microsoft/MoGe](https://github.com/microsoft/MoGe).\n\nSingle photo workflow: `3d_moge_perspective_to_mesh.json` (`MoGeInference` + depth/normal previews).\n\n### Pipeline\n1. Optional downscale if `auto_resize_input` and width > 2048\n2. Split equirect into **12** crops (90° FOV)\n3. MoGe on each crop (`panorama_split_resolution`, `inference_resolution`)\n4. **CPU merge** — stitch distance maps into one equirect depth (`panorama_merge_resolution`)\n5. `MoGePointMapToMesh` → GLB with vertex colors\n\nMerge disables per-view metric scale; MoGe-2 normals are not stitched. A long **“panorama merge”** progress phase is expected.\n\n### Input\n- **Equirectangular** 360°×180°, usually **2:1** (e.g. 2048×1024)\n- **One** image per run\n\n### Subgraph ports\n| Port | Meaning |\n|------|--------|\n| `source_panorama` | RGB equirect |\n| `inference_resolution` | MoGe detail **0–9** (default 5) |\n| `panorama_split_resolution` | Each crop side length — **GPU** (default 512) |\n| `panorama_merge_resolution` | Merge grid **long edge** — **CPU** (default 1024; never above input size) |\n| `inference_batch_size` | Views per forward, 12 total (default 4) |\n| `mesh_frame_index` | **0** for one panorama |\n| `mesh_decimation` | Vertex stride; **1** = full |\n| `mesh_gap_threshold` | Cull faces at depth jumps; **0** = off |\n| `mesh_texture` | Bake panorama into GLB |\n| `moge_model` | Checkpoint — **Model Link** |\n| `auto_resize_input` | Downscale when width > 2048 |\n\n**Split vs merge:** split = per-view inference sharpness; merge = seam / global depth quality. Example: 4096×2048 + merge **1920** → solve ~1920×960, then upsample to input size for meshing.\n\n### Tuning\n| Goal | Try |\n|------|-----|\n| Faster | resolution 3–4, split 512, merge 768 |\n| Quality | resolution 9, split 768+, merge 2048+, MoGe-2 |\n| GPU OOM | batch 1–2, split 512 |\n| Slow merge | lower `panorama_merge_resolution` |\n\n### Output\n`mesh` → **Save GLB** (default `3d/Moge`). Spherical glTF mesh — view from inside the sphere."
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