{ "id": "b8855bb2-4ecb-4d67-94cc-c373b4db93dd", "revision": 0, "last_node_id": 69, "last_link_id": 91, "nodes": [ { "id": 9, "type": "LoadImage", "pos": [ -4390, 5000 ], "size": [ 390, 440 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 84 ] }, { "name": "MASK", "type": "MASK", "links": null } ], "properties": { "Node name for S&R": "LoadImage", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "modern_living_room.png", "image" ], "widgets_values_named": { "image": "modern_living_room.png", "upload": "image" } }, { "id": 50, "type": "MarkdownNote", "pos": [ -4940, 5000 ], "size": [ 510, 840 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "## moge_image_to_mesh\n\n**Input Assets**\n- [modern_living_room.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/modern_living_room.png) ā€” required workflow input (`input/modern_living_room.png`)\n\n**Single perspective photo -> textured GLB**\n\n`Load Image` -> `Geometry Estimation (MoGe)` -> `Save GLB`\n\n### Main flow\n- Runs MoGe inference on one source image\n- Converts the inferred geometry into a mesh\n- Exposes OpenGL and DirectX normal previews\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| `mesh_frame_index` | Batch/frame index used when converting geometry to mesh; use `0` for one image |\n| `mesh_decimation` | Mesh decimation step; `1` keeps the densest mesh |\n| `mesh_gap_threshold` | Removes faces across large depth discontinuities; `0` disables the filter |\n| `mesh_texture` | Bakes source image colors into the exported GLB |\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- `mesh`: mesh output for `Save GLB`\n- `normal_opengl`: preview rendered through `MoGeRender`\n- `normal_directx`: preview rendered through `MoGeRender`\n" ], "widgets_values_named": { "text": "## moge_image_to_mesh\n\n**Input Assets**\n- [modern_living_room.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/modern_living_room.png) ā€” required workflow input (`input/modern_living_room.png`)\n\n**Single perspective photo -> textured GLB**\n\n`Load Image` -> `Geometry Estimation (MoGe)` -> `Save GLB`\n\n### Main flow\n- Runs MoGe inference on one source image\n- Converts the inferred geometry into a mesh\n- Exposes OpenGL and DirectX normal previews\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| `mesh_frame_index` | Batch/frame index used when converting geometry to mesh; use `0` for one image |\n| `mesh_decimation` | Mesh decimation step; `1` keeps the densest mesh |\n| `mesh_gap_threshold` | Removes faces across large depth discontinuities; `0` disables the filter |\n| `mesh_texture` | Bakes source image colors into the exported GLB |\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- `mesh`: mesh output for `Save GLB`\n- `normal_opengl`: preview rendered through `MoGeRender`\n- `normal_directx`: preview rendered through `MoGeRender`\n" }, "color": "#222", "bgcolor": "#000" }, { "id": 46, "type": "PreviewImage", "pos": [ -2950, 5000 ], "size": [ 350, 490 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 88 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Preview Image (normal_opengl)", "properties": { "Node name for S&R": "PreviewImage (normal_opengl)", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } }, { "id": 47, "type": "PreviewImage", "pos": [ -2570, 5000 ], "size": [ 350, 490 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 89 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Preview Image (normal_directx)", "properties": { "Node name for S&R": "PreviewImage (normal_directx)", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } }, { "id": 21, "type": "SaveGLB", "pos": [ -3470, 5000 ], "size": [ 490, 480 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "name": "mesh", "type": "MESH,FILE_3D_GLB,FILE_3D_GLTF,FILE_3D_OBJ,FILE_3D_FBX,FILE_3D_STL,FILE_3D_USDZ,FILE_3D_PLY,FILE_3D_SPLAT,FILE_3D_SPZ,FILE_3D_KSPLAT,FILE_3D_SPLAT_ANY,FILE_3D_POINT_CLOUD_ANY,FILE_3D", "link": 87 } ], "outputs": [], "properties": { "Node name for S&R": "SaveGLB", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Scene Config": { "showGrid": true, "backgroundColor": "#282828", "backgroundImage": "", "backgroundRenderMode": "tiled", "models": [ { "position": { "x": 0, "y": 0, "z": 0 }, "quaternion": { "x": 0, "y": 0, "z": 0, "w": 1 }, "scale": { "x": 1, "y": 1, "z": 1 } } ] }, "Camera Config": { "cameraType": "perspective", "fov": 35, "state": { "position": { "x": 1.1000152510214236, "y": 2.714650284264146, "z": 6.958331752663242 }, "target": { "x": -0.16036242564092565, "y": 1.3121342154705629, "z": 0.06791863401947583 }, "zoom": 1, "cameraType": "perspective" } }, "Light Config": { "intensity": 2.4000000000000004, "hdri": { "enabled": false, "hdriPath": "", "showAsBackground": false, "intensity": 1 } }, "Model Config": { "upDirection": "original", "materialMode": "original", "showSkeleton": false, "gizmo": { "enabled": false, "mode": "translate", "position": { "x": 0, "y": 0, "z": 0 }, "rotation": { "x": 0, "y": 0, "z": 0 }, "scale": { "x": 1, "y": 1, "z": 1 } } }, "Last Time Model File": "3d/25b04b6945123d64f83a0806c7ace4863dd1ef395dfc0b5c62ee2af0cd44f12d.glb", "Last Time Model Folder": "output" }, "widgets_values": [ "3d/ComfyUI" ], "widgets_values_named": { "filename_prefix": "3d/ComfyUI" } }, { "id": 52, "type": "MarkdownNote", "pos": [ -5670, 5000 ], "size": [ 700, 840 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Model Link", "properties": {}, "widgets_values": [ "## MoGe ā€” models & downloads\n\n**ModelScope mirrors** (alternative repo location)\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) ā†’ `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## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā””ā”€ā”€ šŸ“‚ geometry_estimation/\nā”‚ ā”œā”€ā”€ moge_2_vitl_normal_fp16.safetensors\nā”‚ ā””ā”€ā”€ 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" ], "widgets_values_named": { "text": "## MoGe ā€” models & downloads\n\n**ModelScope mirrors** (alternative repo location)\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) ā†’ `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## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā””ā”€ā”€ šŸ“‚ geometry_estimation/\nā”‚ ā”œā”€ā”€ moge_2_vitl_normal_fp16.safetensors\nā”‚ ā””ā”€ā”€ 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" }, "color": "#222", "bgcolor": "#000" }, { "id": 67, "type": "936dfaf2-575a-48b5-9e0c-df391319d11f", "pos": [ -3950, 5000 ], "size": [ 430, 480 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "label": "auto_resize_input", "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" }, "link": null }, { "name": "source_image", "type": "IMAGE", "link": 84 } ], "outputs": [ { "name": "mesh", "type": "MESH", "links": [ 87 ] }, { "name": "normal_opengl", "type": "IMAGE", "links": [ 88 ] }, { "name": "normal_directx", "type": "IMAGE", "links": [ 89 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "previewExposures": [] }, "widgets_values": [ 9, 4, 0, 1, 0.04, true, true, "moge_2_vitl_normal_fp16.safetensors" ], "widgets_values_named": { "inference_resolution": 9, "inference_batch_size": 4, "mesh_frame_index": 0, "mesh_decimation": 1, "mesh_gap_threshold": 0.04, "mesh_texture": true, "switch": true, "moge_model": "moge_2_vitl_normal_fp16.safetensors" } } ], "links": [ [ 87, 67, 0, 21, 0, "MESH" ], [ 88, 67, 1, 46, 0, "IMAGE" ], [ 89, 67, 2, 47, 0, "IMAGE" ], [ 84, 9, 0, 67, 1, "IMAGE" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "936dfaf2-575a-48b5-9e0c-df391319d11f", "version": 1, "state": { "lastGroupId": 1, "lastNodeId": 69, "lastLinkId": 91, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "Geometry Estimation (MoGe)", "inputNode": { "id": -10, "bounding": [ -5270, 5170, 167.337890625, 228 ] }, "outputNode": { "id": -20, "bounding": [ -3090, 4966, 131.51953125, 108 ] }, "inputs": [ { "id": "06eefa21-8e60-49f3-9a34-35b081f4ae52", "name": "inference_resolution", "type": "INT", "linkIds": [ 73 ], "localized_name": "inference_resolution", "pos": [ -5126.662109375, 5214 ] }, { "id": "616638fe-f603-4d10-bae9-fc87c134380f", "name": "inference_batch_size", "type": "INT", "linkIds": [ 74 ], "localized_name": "inference_batch_size", "pos": [ -5126.662109375, 5234 ] }, { "id": "fcacfca9-7927-4c38-94da-8ab22256325f", "name": "mesh_frame_index", "type": "INT", "linkIds": [ 75 ], "localized_name": "mesh_frame_index", "pos": [ -5126.662109375, 5254 ] }, { "id": "acbfe7f9-1b69-42c1-8614-4ccf54b28d4e", "name": "mesh_decimation", "type": "INT", "linkIds": [ 76 ], "localized_name": "mesh_decimation", "pos": [ -5126.662109375, 5274 ] }, { "id": "cd20f9a7-3a0a-4c4c-98d7-96f423867b87", "name": "mesh_gap_threshold", "type": "FLOAT", "linkIds": [ 77 ], "localized_name": "mesh_gap_threshold", "pos": [ -5126.662109375, 5294 ] }, { "id": "6f5c15f7-7f77-4fc9-b47b-3514467b06b6", "name": "mesh_texture", "type": "BOOLEAN", "linkIds": [ 78 ], "localized_name": "mesh_texture", "pos": [ -5126.662109375, 5314 ] }, { "id": "badf1be1-53c6-4fc1-b5cd-79ad3daf1674", "name": "switch", "type": "BOOLEAN", "linkIds": [ 83 ], "label": "auto_resize_input", "pos": [ -5126.662109375, 5354 ] }, { "id": "65694805-186e-4181-a721-df8b5af49d31", "name": "moge_model", "type": "COMBO", "linkIds": [ 79 ], "localized_name": "moge_model", "pos": [ -5126.662109375, 5334 ] }, { "id": "cc8ce79d-ba20-4a25-a51c-c2afcd35e520", "name": "source_image", "type": "IMAGE", "linkIds": [ 48, 55, 56, 82 ], "localized_name": "source_image", "pos": [ -5126.662109375, 5194 ] } ], "outputs": [ { "id": "3c616ea0-9a4c-4cff-a405-662320229df0", "name": "mesh", "type": "MESH", "linkIds": [ 34 ], "localized_name": "mesh", "pos": [ -3066, 4990 ] }, { "id": "ff85a763-b7f7-4bcc-9b1d-a4eaf55ad2f9", "name": "normal_opengl", "type": "IMAGE", "linkIds": [ 62 ], "localized_name": "normal_opengl", "pos": [ -3066, 5010 ] }, { "id": "26b3f88a-0ba0-4d4d-9c7d-0ad76106c844", "name": "normal_directx", "type": "IMAGE", "linkIds": [ 63 ], "localized_name": "normal_directx", "pos": [ -3066, 5030 ] } ], "widgets": [], "nodes": [ { "id": 54, "type": "MoGePointMapToMesh", "pos": [ -3440, 5220 ], "size": [ 290, 154.00002232304328 ], "flags": {}, "order": 0, "mode": 0, "inputs": [ { "localized_name": "moge_geometry", "name": "moge_geometry", "type": "MOGE_GEOMETRY", "link": 33 }, { "localized_name": "batch_index", "name": "batch_index", "type": "INT", "widget": { "name": "batch_index" }, "link": 75 }, { "localized_name": "decimation", "name": "decimation", "type": "INT", "widget": { "name": "decimation" }, "link": 76 }, { "localized_name": "discontinuity_threshold", "name": "discontinuity_threshold", "type": "FLOAT", "widget": { "name": "discontinuity_threshold" }, "link": 77 }, { "localized_name": "texture", "name": "texture", "type": "BOOLEAN", "widget": { "name": "texture" }, "link": 78 } ], "outputs": [ { "localized_name": "MESH", "name": "MESH", "type": "MESH", "links": [ 34 ] } ], "properties": { "Node name for S&R": "MoGePointMapToMesh", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 0, 1, 0.04, true ], "widgets_values_named": { "batch_index": 0, "decimation": 1, "discontinuity_threshold": 0.04, "texture": true } }, { "id": 55, "type": "MoGeInference", "pos": [ -3790, 5180 ], "size": [ 270, 149.999946076193 ], "flags": {}, "order": 1, "mode": 0, "inputs": [ { "localized_name": "moge_model", "name": "moge_model", "type": "MOGE_MODEL", "link": 58 }, { "localized_name": "image", "name": "image", "type": "IMAGE", "link": 81 }, { "localized_name": "resolution_level", "name": "resolution_level", "type": "INT", "widget": { "name": "resolution_level" }, "link": 73 }, { "localized_name": "batch_size", "name": "batch_size", "type": "INT", "widget": { "name": "batch_size" }, "link": 74 } ], "outputs": [ { "localized_name": "moge_geometry", "name": "moge_geometry", "type": "MOGE_GEOMETRY", "links": [ 33, 59, 60 ] } ], "properties": { "Node name for S&R": "MoGeInference", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ 9, 0, 4, true, true, 3 ], "widgets_values_named": { "resolution_level": 9, "fov_x_degrees": 0, "batch_size": 4, "force_projection": true, "apply_mask": true, "refine_steps": 3 } }, { "id": 58, "type": "LoadMoGeModel", "pos": [ -4180, 4910 ], "size": [ 270, 140 ], "flags": {}, "order": 2, "mode": 0, "inputs": [ { "localized_name": "model_name", "name": "model_name", "type": "COMBO", "widget": { "name": "model_name" }, "link": 79 } ], "outputs": [ { "localized_name": "MOGE_MODEL", "name": "MOGE_MODEL", "type": "MOGE_MODEL", "links": [ 58 ] } ], "properties": { "Node name for S&R": "LoadMoGeModel", "cnr_id": "comfy-core", "ver": "0.21.1", "models": [ { "name": "moge_2_vitl_normal_fp16.safetensors", "url": "https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_2_vitl_normal_fp16.safetensors", "directory": "geometry_estimation" } ], "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [ "moge_2_vitl_normal_fp16.safetensors" ], "widgets_values_named": { "model_name": "moge_2_vitl_normal_fp16.safetensors" } }, { "id": 59, "type": "ComfyMathExpression", "pos": [ -4720, 4910 ], "size": [ 400, 200 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "label": "a", "localized_name": "a", "name": "values.a", "type": "FLOAT,INT,BOOLEAN", "link": 49 }, { "label": "b", "localized_name": "b", "name": "values.b", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": null } ], "outputs": 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