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MOSS-Image: Color & Depth Control from a Photo\n\nDrop in a photo and the graph estimates its geometry, then generates a new image that keeps the same pose and framing. No map to prepare by hand.\n\n**How it works**\n\n1. **Load Image** (node 55) - the character reference. It is scaled to 1.0 MP, 16 px aligned (node 77), and drives the output size through **Get Image Size** (node 61) -> **Empty Latent** (node 54).\n2. **Geometry Estimation (MoGe 3)** subgraph - `Load MoGe Model` (`moge_3_vitg_fp16`) -> `Run MoGe Inference` -> `Render MoGe Geometry`. Its output is the `depth_map` of **MOSS-Image Color/Depth Control** (node 53).\n3. **Positive Prompt** (node 5) describes the character and the scene. Geometry comes from the render, everything else - identity, wardrobe, material, light, style - comes from the text.\n4. **MOSS-Image Color/Depth Control** (node 53) injects the map into the image tokens; the LoRA loaded just before it (`moss_image_color_depth_control.safetensors`, strength 1.0) is what makes the model read it. Without the LoRA the node is a no-op.\n5. **Save / Compare**: `VAE Decode` -> preview, plus **Compare Images** (node 80) holding the generated frame next to the rendered map.\n\n**Settings**\n\n`strength` 1.0 is the trained strength; `start_percent` / `end_percent` pick the part of the run that is controlled (0 to 0.6 here: the layout is fixed, the last steps render freely). Sampling follows the MOSS-Image control test graph: 25 steps, CFG 3, `er_sde` / `simple`, shift 5, skip layer guidance on layer 24, temporal score rescaling 0.95.\n\n**Useful knobs**\n\n- `Render MoGe Geometry` in the subgraph is set to `mask`: only the silhouette is used. Switch it to `depth` (`normalization = min_max`) when you want the face profile, shoulders and background falloff to be controlled too - the pose gets tighter, the prompt has less room.\n- `end_percent` 1.0 pins geometry to the last step; 0.5 frees the surface and lighting. For a mask-derived map 0.6 is a good middle.\n- The reference has **pointed elf ears**, and the geometry keeps them. Either keep that in the prompt (`pointed elf ears`) or hide them (`ears covered by hair`).\n- **Painter** (node 81) is in the graph for painting a map by hand: white near / black far for depth, one flat colour per region for colour. Connect its `IMAGE` to `depth_map` or `color_map` to override the estimate.\n- `color_map` is optional and currently unconnected. One flat colour per region, colours only act as region IDs, black means \"unspecified\"; it must match the output size (1024 x 1024 here).\n" ], "widgets_values_named": { "text": "## MOSS-Image: Color & Depth Control from a Photo\n\nDrop in a photo and the graph estimates its geometry, then generates a new image that keeps the same pose and framing. No map to prepare by hand.\n\n**How it works**\n\n1. **Load Image** (node 55) - the character reference. It is scaled to 1.0 MP, 16 px aligned (node 77), and drives the output size through **Get Image Size** (node 61) -> **Empty Latent** (node 54).\n2. **Geometry Estimation (MoGe 3)** subgraph - `Load MoGe Model` (`moge_3_vitg_fp16`) -> `Run MoGe Inference` -> `Render MoGe Geometry`. Its output is the `depth_map` of **MOSS-Image Color/Depth Control** (node 53).\n3. **Positive Prompt** (node 5) describes the character and the scene. Geometry comes from the render, everything else - identity, wardrobe, material, light, style - comes from the text.\n4. **MOSS-Image Color/Depth Control** (node 53) injects the map into the image tokens; the LoRA loaded just before it (`moss_image_color_depth_control.safetensors`, strength 1.0) is what makes the model read it. Without the LoRA the node is a no-op.\n5. **Save / Compare**: `VAE Decode` -> preview, plus **Compare Images** (node 80) holding the generated frame next to the rendered map.\n\n**Settings**\n\n`strength` 1.0 is the trained strength; `start_percent` / `end_percent` pick the part of the run that is controlled (0 to 0.6 here: the layout is fixed, the last steps render freely). Sampling follows the MOSS-Image control test graph: 25 steps, CFG 3, `er_sde` / `simple`, shift 5, skip layer guidance on layer 24, temporal score rescaling 0.95.\n\n**Useful knobs**\n\n- `Render MoGe Geometry` in the subgraph is set to `mask`: only the silhouette is used. Switch it to `depth` (`normalization = min_max`) when you want the face profile, shoulders and background falloff to be controlled too - the pose gets tighter, the prompt has less room.\n- `end_percent` 1.0 pins geometry to the last step; 0.5 frees the surface and lighting. For a mask-derived map 0.6 is a good middle.\n- The reference has **pointed elf ears**, and the geometry keeps them. Either keep that in the prompt (`pointed elf ears`) or hide them (`ears covered by hair`).\n- **Painter** (node 81) is in the graph for painting a map by hand: white near / black far for depth, one flat colour per region for colour. Connect its `IMAGE` to `depth_map` or `color_map` to override the estimate.\n- `color_map` is optional and currently unconnected. One flat colour per region, colours only act as region IDs, black means \"unspecified\"; it must match the output size (1024 x 1024 here).\n" }, "color": "#222", "bgcolor": "#000" }, { "id": 85, "type": "SaveImage", "pos": [ 2450, -180 ], "size": [ 420, 470 ], "flags": {}, "order": 23, "mode": 0, "inputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "link": 151 }, { "localized_name": "filename_prefix", "name": "filename_prefix", "type": "STRING", "widget": { "name": "filename_prefix" }, "link": null } ], "outputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "links": null } ], "properties": { "Node name for S&R": "SaveImage", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "syntheticlabs-20261102/220409/moss-image-comfyui-colour-depth-control" ], "widgets_values_named": { "filename_prefix": "image_moss_image_color_depth_control" } } ], "links": [ [ 3, 3, 0, 5, 0, "CLIP" 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