{ "id": "b8855bb2-4ecb-4d67-94cc-c373b4db93dd", "revision": 0, "last_node_id": 70, "last_link_id": 92, "nodes": [ { "id": 9, "type": "LoadImage", "pos": [ -4390, 5000 ], "size": [ 390, 440 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 65 ] }, { "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": [ "alien_world.png", "image" ], "widgets_values_named": { "image": "alien_world.png", "upload": "image" } }, { "id": 49, "type": "ca1fac5f-abe5-4729-b7fe-2299f6630a65", "pos": [ -3970, 5000 ], "size": [ 430, 330 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "name": "source_image", "type": "IMAGE", "link": 65 }, { "label": "auto_resize_input", "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" }, "link": null } ], "outputs": [ { "name": "depth_colored", "type": "IMAGE", "links": [ 67 ] }, { "name": "depth", "type": "IMAGE", "links": [ 68 ] }, { "name": "MASK", "type": "MASK", "links": [ 90 ] } ], "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": [ 2, 4, "moge_2_vitl_normal_fp16.safetensors", true ], "widgets_values_named": { "inference_resolution": 2, "inference_batch_size": 4, "moge_model": "moge_2_vitl_normal_fp16.safetensors", "switch": true } }, { "id": 50, "type": "MarkdownNote", "pos": [ -4940, 5000 ], "size": [ 490, 1440 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "## 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**." ], "widgets_values_named": { "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**." }, "color": "#222", "bgcolor": "#000" }, { "id": 17, "type": "PreviewImage", "pos": [ -3110, 5000 ], "size": [ 340, 440 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 67 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Preview Image (depth_colored)", "properties": { "Node name for S&R": "PreviewImage (depth_colored)", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } }, { "id": 26, "type": "PreviewImage", "pos": [ -3490, 5000 ], "size": [ 340, 440 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 68 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Preview Image (depth)", "properties": { "Node name for S&R": "PreviewImage (depth)", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } }, { "id": 52, "type": "MarkdownNote", "pos": [ -5680, 5000 ], "size": [ 690, 1010 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Model Link", "properties": {}, "widgets_values": [ "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 ā€” 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) 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\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": "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 ā€” 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) 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\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": 69, "type": "MaskPreview", "pos": [ -2740, 5000 ], "size": [ 400, 430 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "name": "mask", "type": "MASK", "link": 90 } ], "outputs": [ { "name": "mask", "type": "MASK", "links": null } ], "properties": { "Node name for S&R": "MaskPreview", "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } } ], "links": [ [ 65, 9, 0, 49, 0, "IMAGE" ], [ 67, 49, 0, 17, 0, "IMAGE" ], [ 68, 49, 1, 26, 0, "IMAGE" ], [ 90, 49, 2, 69, 0, "MASK" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "ca1fac5f-abe5-4729-b7fe-2299f6630a65", "version": 1, "state": { "lastGroupId": 1, "lastNodeId": 70, "lastLinkId": 92, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "Depth Estimation (MoGe)", "inputNode": { "id": -10, "bounding": [ -5130, 5320, 167.337890625, 148 ] }, "outputNode": { "id": -20, "bounding": [ -3090, 4966, 129, 108 ] }, "inputs": [ { "id": "cc8ce79d-ba20-4a25-a51c-c2afcd35e520", "name": "source_image", "type": "IMAGE", "linkIds": [ 48, 56, 82, 92 ], "localized_name": "source_image", "pos": [ -4986.662109375, 5344 ] }, { "id": "06eefa21-8e60-49f3-9a34-35b081f4ae52", "name": "inference_resolution", "type": "INT", "linkIds": [ 73 ], "localized_name": "inference_resolution", "pos": [ -4986.662109375, 5364 ] }, { "id": "616638fe-f603-4d10-bae9-fc87c134380f", "name": "inference_batch_size", "type": "INT", "linkIds": [ 74 ], "localized_name": "inference_batch_size", "pos": [ -4986.662109375, 5384 ] }, { "id": "65694805-186e-4181-a721-df8b5af49d31", "name": "moge_model", "type": "COMBO", "linkIds": [ 79 ], "localized_name": "moge_model", "pos": [ -4986.662109375, 5404 ] }, { "id": "badf1be1-53c6-4fc1-b5cd-79ad3daf1674", "name": "switch", "type": "BOOLEAN", "linkIds": [ 83 ], "label": "auto_resize_input", "pos": [ -4986.662109375, 5424 ] } ], "outputs": [ { "id": "59c37b52-074f-49fc-9731-483f899c12c4", "name": "depth_colored", "type": "IMAGE", "linkIds": [ 36 ], "localized_name": "depth_colored", "pos": [ -3066, 4990 ] }, { "id": "f583e936-da5c-4630-9901-391fa605c1f8", "name": "depth", "type": "IMAGE", "linkIds": [ 40 ], "localized_name": "depth", "pos": [ -3066, 5010 ] }, { "id": "6845b6a1-1980-454a-9451-314f24495c1d", "name": "MASK", "type": "MASK", "linkIds": [ 86 ], "pos": [ -3066, 5030 ] } ], "widgets": [], "nodes": [ { "id": 13, "type": "MoGeInference", "pos": [ -3790, 5180 ], "size": [ 270, 230 ], "flags": {}, "order": 0, "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": [ 35, 39, 61 ] } ], "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": [ 2, 0, 4, true, true ], "widgets_values_named": { "resolution_level": 2, "fov_x_degrees": 0, "batch_size": 4, "force_projection": true, "apply_mask": true } }, { "id": 23, "type": "MoGeRender", "pos": [ -3430, 4870 ], "size": [ 270, 110 ], "flags": {}, "order": 1, "mode": 0, "inputs": [ { "localized_name": "moge_geometry", "name": "moge_geometry", "type": "MOGE_GEOMETRY", "link": 35 } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 36 ] } ], "properties": { "Node name for S&R": "MoGeRender", "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": [ "depth_colored" ], "widgets_values_named": { "output": "depth_colored" } }, { "id": 25, "type": "MoGeRender", "pos": [ -3430, 5030 ], "size": [ 270, 110 ], "flags": {}, "order": 2, "mode": 0, "inputs": [ { "localized_name": "moge_geometry", "name": "moge_geometry", "type": "MOGE_GEOMETRY", "link": 39 } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 40 ] } ], "properties": { "Node name for S&R": "MoGeRender", "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": [ "depth" ], "widgets_values_named": { "output": "depth" } }, { "id": 32, "type": "LoadMoGeModel", "pos": [ -4180, 4880 ], "size": [ 270, 140 ], "flags": {}, "order": 3, "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": 36, "type": "ComfyMathExpression", "pos": [ -4720, 4910 ], "size": [ 400, 200 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "label": "a", "localized_name": "a", "name": "values.a", "type": "FLOAT,INT,BOOLEAN", "link": 49 }, { "localized_name": "b", "name": "values.b", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": null } ], "outputs": [ { "localized_name": "FLOAT", "name": "FLOAT", "type": "FLOAT", "links": null }, { "localized_name": "INT", "name": "INT", "type": "INT", "links": null }, { "localized_name": "BOOL", "name": "BOOL", "type": "BOOLEAN", "links": [ 53 ] } ], "properties": { "Node name for S&R": "ComfyMathExpression", "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": [ "a > 2048" ], "widgets_values_named": { "expression": "a > 2048" } }, { "id": 37, "type": "GetImageSize", "pos": [ -4980, 4910 ], "size": [ 230, 160 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "localized_name": "image", "name": "image", "type": "IMAGE", "link": 48 } ], "outputs": [ { "localized_name": "width", "name": "width", "type": "INT", "links": [ 49 ] }, { "localized_name": "height", "name": "height", "type": "INT", "links": null }, { "localized_name": "batch_size", "name": "batch_size", "type": "INT", "links": null } ], "properties": { "Node name for S&R": "GetImageSize", "cnr_id": "comfy-core", "ver": "0.21.1", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 } }, { "id": 42, "type": "ComfySwitchNode", "pos": [ -4180, 5060 ], "size": [ 270, 130 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "localized_name": "on_false", "name": "on_false", "shape": 7, "type": "IMAGE", "link": 56 }, { "localized_name": "on_true", "name": "on_true", "shape": 7, "type": "IMAGE", "link": 91 }, { "localized_name": "switch", "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" }, "link": 53 } ], "outputs": [ { "localized_name": "output", "name": "output", "type": "IMAGE", "links": [ 80 ] } ], "properties": { "Node name for S&R": "ComfySwitchNode", "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": [ false ], "widgets_values_named": { "switch": false } }, { "id": 45, "type": "MoGeRender", "pos": [ -3430, 5200 ], "size": [ 270, 110 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "localized_name": "moge_geometry", "name": "moge_geometry", "type": "MOGE_GEOMETRY", "link": 61 } ], "outputs": [ { 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