{ "id": "aa0ea3e2-5729-4d50-956e-26fc02b13d9e", "revision": 0, "last_node_id": 344, "last_link_id": 21011, "nodes": [ { "id": 49, "type": "LoadImage", "pos": [ -1090, 4430 ], "size": [ 390, 640 ], "flags": {}, "order": 0, "mode": 0, "inputs": [ { "localized_name": "image", "name": "image", "type": "COMBO", "widget": { "name": "image" }, "link": null }, { "localized_name": "choose file to upload", "name": "upload", "type": "IMAGEUPLOAD", "widget": { "name": "upload" }, "link": null } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 228, 229, 231, 21004 ] }, { "localized_name": "MASK", "name": "MASK", "type": "MASK", "links": null } ], "properties": { "Node name for S&R": "LoadImage", "ue_properties": { "widget_ue_connectable": { "image": true, "upload": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "lake.jpg", "image" ], "widgets_values_named": { "image": "yellow_arch_daisy_field.png", "upload": "image" }, "shape": 1 }, { "id": 80, "type": "4522b5d6-7f71-4b60-8fab-1e6ffbd5f1c1", "pos": [ 650, 4420 ], "size": [ 500, 580 ], "flags": {}, "order": 14, "mode": 0, "inputs": [ { "localized_name": "image_1", "name": "images.image_1", "shape": 7, "type": "IMAGE", "link": 229 }, { "label": "image_2", "name": "images.image_2", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_3", "name": "images.image_3", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_4", "name": "images.image_4", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_5", "name": "images.image_5", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_6", "name": "images.image_6", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_7", "name": "images.image_7", "shape": 7, "type": "IMAGE", "link": null }, { "label": "image_8", "name": "images.image_8", "shape": 7, "type": "IMAGE", "link": null }, { "name": "prompt", "type": "STRING", "widget": { "name": "prompt" }, "link": 21003 }, { "label": "width", "name": "value", "type": "INT", "widget": { "name": "value" }, "link": 205 }, { "label": "height", "name": "value_1", "type": "INT", "widget": { "name": "value_1" }, "link": 206 }, { "name": "noise_seed", "type": "INT", "widget": { "name": "noise_seed" }, "link": null }, { "name": "scheduler", "type": "COMBO", "widget": { "name": "scheduler" }, "link": null }, { "name": "steps", "type": "INT", "widget": { "name": "steps" }, "link": null }, { "name": "unet_name", "type": "COMBO", "widget": { "name": "unet_name" }, "link": null }, { "name": "vae_name", "type": "COMBO", "widget": { "name": "vae_name" }, "link": null }, { "name": "type", "type": "COMBO", "widget": { "name": "type" }, "link": null }, { "label": "model_attention_backend", "name": "attention_1", "type": "COMBO", "widget": { "name": "attention_1" }, "link": null } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 21010 ] } ], "properties": { "previewExposures": [], "ue_properties": { "widget_ue_connectable": { "prompt": true, "value": true, "value_1": true, "noise_seed": true, "scheduler": true, "steps": true, "unet_name": true, "vae_name": true, "type": true, "attention_1": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "", 1024, 1024, 2026110202, "simple", 12, "ming_image_0.1_design_int8_convrot.safetensors", "ming_image_vae_bf16.safetensors", "qwen_image", "comfy kitchen attention" ], "widgets_values_named": { "prompt": "", "value": 1024, "value_1": 1024, "noise_seed": 247081603831298, "scheduler": "simple", "steps": 12, "unet_name": "ming_image_0.1_design_int8_convrot.safetensors", "vae_name": "ming_image_vae_bf16.safetensors", "type": "qwen_image", "attention_1": "comfy kitchen attention" }, "shape": 1 }, { "id": 81, "type": "GetImageSize", "pos": [ 290, 4900 ], "size": [ 230, 140 ], "flags": {}, "order": 9, "mode": 0, "inputs": [ { "localized_name": "image", "name": "image", "type": "IMAGE", "link": 210 } ], "outputs": [ { "localized_name": "width", "name": "width", "type": "INT", "links": [ 205, 1054 ] }, { "localized_name": "height", "name": "height", "type": "INT", "links": [ 206, 1055 ] }, { "localized_name": "batch_size", "name": "batch_size", "type": "INT", "links": null } ], "properties": { "Node name for S&R": "GetImageSize", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "shape": 1 }, { "id": 83, "type": "ResizeImageMaskNode", "pos": [ 260, 4720 ], "size": [ 270, 110 ], "flags": {}, "order": 5, "mode": 4, "inputs": [ { "localized_name": "input", "name": "input", "type": "IMAGE,MASK", "link": 231 }, { "localized_name": "resize_type", "name": "resize_type", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "resize_type" }, "link": null }, { "localized_name": "megapixels", "name": "resize_type.megapixels", "type": "FLOAT", "widget": { "name": "resize_type.megapixels" }, "link": null }, { "localized_name": "scale_method", "name": "scale_method", "type": "COMBO", "widget": { "name": "scale_method" }, "link": null } ], "outputs": [ { "localized_name": "resized", "name": "resized", "type": "IMAGE", "links": [ 210 ] } ], "properties": { "Node name for S&R": "ResizeImageMaskNode", "ue_properties": { "widget_ue_connectable": { "resize_type": true, "resize_type.megapixels": true, "scale_method": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "scale total pixels", 1, "area" ], "widgets_values_named": { "resize_type": "scale total pixels", "resize_type.megapixels": 1, "scale_method": "area" }, "shape": 1 }, { "id": 85, "type": "MarkdownNote", "pos": [ 280, 4590 ], "size": [ 210, 90 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Resize Input", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Select and press Ctrl-B to enable `Resize Image/Mask` node if your input image is too large (over 2048*2048).\n" ], "widgets_values_named": { "text": "Select and press Ctrl-B to enable `Resize Image/Mask` node if your input image is too large (over 2048*2048).\n" }, "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 87, "type": "MarkdownNote", "pos": [ -1092.2626186004627, 4377.266334242224 ], "size": [ 560, 940 ], "flags": { "collapsed": true }, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Ming Image 0.1 Design — Edit (subgraph + prompt)", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "# Ming Image 0.1 Design — Edit (ComfyUI)\n\nMing Image 0.1 **Design** (inclusionAI / Ant Ling): text-to-image and image editing with one checkpoint.\nFiles — see *Note: Model Links*.\n\nLinks — [Ming-Image repo](https://github.com/inclusionAI/Ming-Image) · [model card](https://huggingface.co/inclusionAI/Ming-Image-0.1-Design) · [Design skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/ling-ui-design) · [PPT skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/image-to-editable-ppt)\n\n## Three subgraphs — double-click any of them to open\n\n| subgraph | what it does |\n|---|---|\n| **Image Edit (Ming Image 0.1 Design)** | the model: reference image(s) + `prompt` → sample → decode |\n| **Ideogram JSON → Ming Caption** | rewrites the Ideogram JSON + the bounding boxes into Ming's Figma-style caption and feeds `prompt` |\n| **Aspect Ratio (gcd-reduced)** | nested inside the one above: `width` / `height` → `7:9, 896 × 1152 px` for `canvas_settings.aspect_ratio` |\n\n## Image Edit subgraph parameters\n\n| parameter | what it does |\n|---|---|\n| `image_1` … `image_8` | reference image(s) to edit; only `image_1` is required |\n| `prompt` | the instruction (see below) |\n| `width` / `height` | output size, wired from `Get Image Size` |\n| `noise_seed` / `scheduler` / `steps` | sampling; default `simple`, 12 steps |\n| `unet_name` / `vae_name` / `type` | weights, and text-encoder family (`qwen_image`) |\n| `model_attention_backend` | `comfy kitchen attention` (INT8, fastest) is only listed on GPUs that support it — NVIDIA cc 7.5+ or AMD/ROCm; otherwise pick `pytorch attention`: same result, slower |\n\nNo negative prompt, no CFG — positive conditioning only.\n\n## Prompt: \n\n**1 · Natural language**: you can disconnect the `Ideogram JSON to Ming Caption` output, then use your own prompt to edit the image\n\n**2 · Ming's own Figma-style caption**: Currently this workflow builds a prompt that matches Ming's Figma-style caption, you can use it for precise control (same shape as the official [rewriter system prompt](https://github.com/inclusionAI/Ming-Image/blob/main/assets/t2i_rewriter_system_prompt.txt) emits):\n\n```json\n{\n \"canvas_settings\": {\"aspect_ratio\": \"…\", \"ambient_lighting\": \"…\", \"image_style\": \"…\"},\n \"layers\": [{\"description\": \"…\", \"coordinates\": \"cx: 0.500, cy: 0.500, w: 1.000, h: 1.000\",\n \"hierarchy_and_relation\": \"…\", \"color_specs\": [\"#RRGGBB\"]}]\n}\n```\n\nTwo keys only; `layers` runs background → topmost; `coordinates` is one string (centre + size, normalised); rendered text is quoted and owned once. `aspect_ratio` and the pixel size are computed from the boxes' canvas, so adding boxes or swapping the input image needs no edits. Example: [t2i_four_seasons_cabin_prompt.json](https://github.com/inclusionAI/Ming-Image/blob/main/assets/t2i_four_seasons_cabin_prompt.json)\n" ], "widgets_values_named": { "text": "# Ming Image 0.1 Design — Edit (ComfyUI)\n\nMing Image 0.1 **Design** (inclusionAI / Ant Ling): text-to-image and image editing with one checkpoint.\nFiles — see *Note: Model Links*.\n\nLinks — [Ming-Image repo](https://github.com/inclusionAI/Ming-Image) · [model card](https://huggingface.co/inclusionAI/Ming-Image-0.1-Design) · [Design skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/ling-ui-design) · [PPT skill](https://github.com/inclusionAI/ling-cookbook/tree/main/resources/recommended-skills/image-to-editable-ppt)\n\n## Three subgraphs — double-click any of them to open\n\n| subgraph | what it does |\n|---|---|\n| **Image Edit (Ming Image 0.1 Design)** | the model: reference image(s) + `prompt` → sample → decode |\n| **Ideogram JSON → Ming Caption** | rewrites the Ideogram JSON + the bounding boxes into Ming's Figma-style caption and feeds `prompt` |\n| **Aspect Ratio (gcd-reduced)** | nested inside the one above: `width` / `height` → `7:9, 896 × 1152 px` for `canvas_settings.aspect_ratio` |\n\n## Image Edit subgraph parameters\n\n| parameter | what it does |\n|---|---|\n| `image_1` … `image_8` | reference image(s) to edit; only `image_1` is required |\n| `prompt` | the instruction (see below) |\n| `width` / `height` | output size, wired from `Get Image Size` |\n| `noise_seed` / `scheduler` / `steps` | sampling; default `simple`, 12 steps |\n| `unet_name` / `vae_name` / `type` | weights, and text-encoder family (`qwen_image`) |\n| `model_attention_backend` | `comfy kitchen attention` (INT8, fastest) is only listed on GPUs that support it — NVIDIA cc 7.5+ or AMD/ROCm; otherwise pick `pytorch attention`: same result, slower |\n\nNo negative prompt, no CFG — positive conditioning only.\n\n## Prompt: \n\n**1 · Natural language**: you can disconnect the `Ideogram JSON to Ming Caption` output, then use your own prompt to edit the image\n\n**2 · Ming's own Figma-style caption**: Currently this workflow builds a prompt that matches Ming's Figma-style caption, you can use it for precise control (same shape as the official [rewriter system prompt](https://github.com/inclusionAI/Ming-Image/blob/main/assets/t2i_rewriter_system_prompt.txt) emits):\n\n```json\n{\n \"canvas_settings\": {\"aspect_ratio\": \"…\", \"ambient_lighting\": \"…\", \"image_style\": \"…\"},\n \"layers\": [{\"description\": \"…\", \"coordinates\": \"cx: 0.500, cy: 0.500, w: 1.000, h: 1.000\",\n \"hierarchy_and_relation\": \"…\", \"color_specs\": [\"#RRGGBB\"]}]\n}\n```\n\nTwo keys only; `layers` runs background → topmost; `coordinates` is one string (centre + size, normalised); rendered text is quoted and owned once. `aspect_ratio` and the pixel size are computed from the boxes' canvas, so adding boxes or swapping the input image needs no edits. Example: [t2i_four_seasons_cabin_prompt.json](https://github.com/inclusionAI/Ming-Image/blob/main/assets/t2i_four_seasons_cabin_prompt.json)\n" }, "color": "#222", "bgcolor": "#000", "shape": 1 }, { "id": 91, "type": "CreateBoundingBoxes", "pos": [ -1070, 5190 ], "size": [ 420, 560 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "localized_name": "background", "name": "background", "shape": 7, "type": "IMAGE", "link": 228 }, { "localized_name": "bboxes", "name": "bboxes", "shape": 7, "type": "BOUNDING_BOX,ARRAY,STRING", "link": null }, { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": null }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": null }, { "localized_name": "editor_state", "name": "editor_state", "type": "BOUNDING_BOXES", "widget": { "name": "editor_state" }, "link": null }, { "localized_name": "last_incoming", "name": "last_incoming", "shape": 7, "type": "BOUNDING_BOXES", "widget": { "name": "last_incoming" }, "link": null } ], "outputs": [ { "localized_name": "preview", "name": "preview", "type": "IMAGE", "links": [ 225 ] }, { "localized_name": "bboxes", "name": "bboxes", "type": "BOUNDING_BOX", "links": [ 214 ] }, { "localized_name": "elements", "name": "elements", "type": "ARRAY", "links": [ 215, 1063 ] } ], "properties": { "Node name for S&R": "CreateBoundingBoxes", "ue_properties": { "widget_ue_connectable": { "width": true, "height": true, "editor_state": true, "last_incoming": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ 896, 1152, [ { "x": 0, "y": 0, "width": 896, "height": 1152, "metadata": { "type": "obj", "text": "", "desc": "mountain lake scene from source as layered teal and navy screen-print travel illustration", "palette": [ "#123849", "#327E84", "#F5EDD9" ] } }, { "x": 55, "y": 55, "width": 786, "height": 210, "metadata": { "type": "text", "text": "ALPINE QUIET", "desc": "large navy uppercase sans serif headline", "palette": [ "#123849" ] } }, { "x": 90, "y": 1000, "width": 716, "height": 85, "metadata": { "type": "text", "text": "TAKE THE SCENIC ROUTE", "desc": "small navy uppercase footer", "palette": [ "#123849" ] } } ], [] ], "widgets_values_named": { "width": 896, "height": 1152, "editor_state": [ { "x": 0, "y": 0, "width": 896, "height": 1152, "metadata": { "type": "obj", "text": "", "desc": "the whole picture reprinted as a mid-century screen-print poster sheet: flat unmodulated colour planes, hand-cut stencil edges, warm off-white paper stock with fine print grain, one faint ink misregistration, a thin dark-ink rule inset a few millimetres from the trimmed edge, no photographic depth of field", "palette": [ "#F5F0E3", "#E4B23C", "#2F5FA8", "#1E2A38" ] } }, { "x": 0, "y": 0, "width": 896, "height": 555, "metadata": { "type": "obj", "text": "", "desc": "the sunlit tiled facade redrawn as two flat ochre plates, one in full sun and one in shade, split by one crisp diagonal shadow that runs from the top edge near the centre down to the left edge about a fifth of the way down; the tile grout becomes a sparse regular grid of thin lighter lines", "palette": [ "#E4B23C", "#C6952F", "#F0C85A" ] } }, { "x": 57, "y": 205, "width": 193, "height": 350, "metadata": { "type": "obj", "text": "", "desc": "the left round-headed arch opening cut cleanly through the facade: inside it a flat pale-blue sky with one simplified cream cloud bank, edges stencil-cut, no gradients", "palette": [ "#4E86C8", "#A9C9E8", "#F5F0E3" ] } }, { "x": 357, "y": 192, "width": 196, "height": 363, "metadata": { "type": "obj", "text": "", "desc": "the centre arch opening, the tallest of the three: flat pale-blue sky, one low cream cloud shape near its base, and the daisy horizon showing as a thin band of small white dots across the bottom of the opening", "palette": [ "#4E86C8", "#A9C9E8", "#F5F0E3" ] } }, { "x": 652, "y": 200, "width": 203, "height": 355, "metadata": { "type": "obj", "text": "", "desc": "the right arch opening holding a single tree: trunk and crown reduced to a two-tone silhouette of dark olive green and deep umber against the pale blue sky, branches simplified to a few decisive lines, foliage as clustered flat shapes, no leaf texture", "palette": [ "#4E86C8", "#6E8B4A", "#3B4A2E" ] } }, { "x": 0, "y": 500, "width": 896, "height": 652, "metadata": { "type": "obj", "text": "", "desc": "the daisy meadow drawn as poster shapes: the field as broad olive-green swathes rising to a soft ridge line, every daisy a simple white petal rosette with a flat ochre centre, evenly staggered and overlapping in loose rows, the nearest flowers large and crisp, the distant ones small pale dots", "palette": [ "#8FA05A", "#B7C68A", "#F5F0E3", "#E4A62C" ] } }, { "x": 348, "y": 486, "width": 170, "height": 88, "metadata": { "type": "obj", "text": "", "desc": "an open parasol held high above her, seen from behind: the canopy a flat disc of deep rust-red silk with a black scalloped lace edge printed as a row of small half-circles and straight thin dark ribs radiating from the centre, a slim dark-wood shaft falling to her raised hand; the canopy tilted slightly to the left, one paler rust tone on its sunlit right half", "palette": [ "#9E3B2E", "#6E2A22", "#1E2A38" ] } }, { "x": 372, "y": 566, "width": 112, "height": 280, "metadata": { "type": "obj", "text": "", "desc": "a graceful woman standing with her back to the camera, full length, drawn in the same flat screen-print language: a classical floor-length gown of deep rust-red silk, high waisted with one soft vertical fold falling from her shoulder blades to the hem, printed as two flat planes of rust separated by a single crisp fold line; her long hair gathered in a low classical chignon with a thin printed ribbon and two loose strands; bare shoulders and arms as flat warm-skin planes with one darker shadow tone along her right side; slim, tall and perfectly still, her weight on her left foot, one arm raised holding the parasol and the other relaxed at her side; her hem and feet disappearing into the daisies, the pressed grass in front of her printed as a few flat dark strokes", "palette": [ "#9E3B2E", "#E8B893", "#1E2A38" ] } }, { "x": 0, "y": 956, "width": 896, "height": 196, "metadata": { "type": "obj", "text": "", "desc": "a full-width band of warm cream paper across the foot of the poster, printed flat with a single thin ochre rule along its top edge and no texture, holding the typography with generous air between the lines", "palette": [ "#F3EADA", "#C6952F" ] } }, { "x": 81, "y": 984, "width": 734, "height": 38, "metadata": { "type": "text", "text": "WHERE THE LIGHT LINGERS", "desc": "the title set in an elegant thin-stroke classical serif, all capitals with very wide letterspacing, ink navy, one line, centred in the band with generous air above and below; spelled exactly as written", "palette": [ "#1E2A38" ] } }, { "x": 134, "y": 1042, "width": 628, "height": 24, "metadata": { "type": "text", "text": "a meadow, a parasol, an unhurried summer", "desc": "a single lower-case line in a small italic serif, ochre ink, wide letterspacing, centred, the commas kept; spelled exactly as written", "palette": [ "#C6952F" ] } }, { "x": 197, "y": 1104, "width": 502, "height": 16, "metadata": { "type": "text", "text": "COMFY ORG", "desc": "a very small line of wide-tracked capitals in ink navy at the very foot of the band, centred; spelled exactly C O M F Y space O R G", "palette": [ "#1E2A38" ] } } ], "last_incoming": [] }, "shape": 1 }, { "id": 92, "type": "PreviewAny", "pos": [ -530, 5650 ], "size": [ 400, 290 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "localized_name": "source", "name": "source", "type": "*", "link": 214 } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "links": null } ], "properties": { "Node name for S&R": "PreviewAny", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [], "widgets_values_named": {}, "shape": 1 }, { "id": 93, "type": "BuildJsonPromptIdeogram", "pos": [ -530, 5200 ], "size": [ 400, 290 ], "flags": {}, "order": 8, "mode": 0, "inputs": [ { "localized_name": "element", "name": "element", "type": "ARRAY", "link": 215 }, { "localized_name": "high_level_description", "name": "high_level_description", "type": "STRING", "widget": { "name": "high_level_description" }, "link": null }, { "localized_name": "background", "name": "background", "type": "STRING", "widget": { "name": "background" }, "link": null }, { "localized_name": "style", "name": "style", "type": "COMFY_DYNAMICCOMBO_V3", "widget": { "name": "style" }, "link": null }, { "localized_name": "art_style", "name": "style.art_style", "type": "STRING", "widget": { "name": "style.art_style" }, "link": null }, { "localized_name": "aesthetics", "name": "aesthetics", "type": "STRING", "widget": { "name": "aesthetics" }, "link": null }, { "localized_name": "lighting", "name": "lighting", "type": "STRING", "widget": { "name": "lighting" }, "link": null }, { "localized_name": "medium", "name": "medium", "type": "STRING", "widget": { "name": "medium" }, "link": null }, { "localized_name": "color_palette", "name": "color_palette", "type": "COLORS", "widget": { "name": "color_palette" }, "link": null } ], "outputs": [ { "localized_name": "prompt", "name": "prompt", "type": "DICT", "links": [ 216, 1062 ] } ], "properties": { "Node name for S&R": "BuildJsonPromptIdeogram", "ue_properties": { "widget_ue_connectable": { "high_level_description": true, "background": true, "style": true, "style.art_style": true, "aesthetics": true, "lighting": true, "medium": true, "color_palette": true }, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "A vintage screen-printed travel poster based on the input mountain lake composition. Simplify mountain ridges into layered midnight-blue and teal paper-cut silhouettes, keep the forest shoreline and lake reflection, use a pale warm cream sky and a coral sun near the upper right. Across the upper left the large navy headline reads \"ALPINE QUIET\". A small centered footer reads \"TAKE THE SCENIC ROUTE\". 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"localized_name": "output_value", "name": "output_value", "shape": 7, "type": "*", "link": 9014 }, { "localized_name": "next_iteration_value", "name": "next_iteration_value", "shape": 7, "type": "*", "link": 9015 }, { "localized_name": "termination0", "name": "terminations.termination0", "shape": 7, "type": "*", "link": null }, { "localized_name": "accumulate", "name": "accumulate", "type": "BOOLEAN", "widget": { "name": "accumulate" }, "link": null } ], "outputs": [ { "localized_name": "outputs", "name": "outputs", "shape": 6, "type": "*", "slot_index": 0, "links": [ 9016 ] } ], "properties": { "Node name for S&R": "EndLoop", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ false ], "widgets_values_named": { "accumulate": false }, "color": "#323", "bgcolor": "#535" }, { "id": 332, "type": "GetItemFromList", "pos": [ 2300, 120 ], "size": [ 220, 90 ], "flags": {}, "order": 9, "mode": 0, "inputs": [ { 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"link": null }, { "localized_name": "expression", "name": "expression", "type": "STRING", "widget": { "name": "expression" }, "link": null } ], "outputs": [ { "localized_name": "FLOAT", "name": "FLOAT", "type": "FLOAT", "slot_index": 0, "links": [] }, { "localized_name": "INT", "name": "INT", "type": "INT", "slot_index": 1, "links": [ 9021 ] }, { "localized_name": "BOOL", "name": "BOOL", "type": "BOOLEAN", "slot_index": 2, "links": [] } ], "title": "Math Expression (width / gcd)", "properties": { "Node name for S&R": "ComfyMathExpression", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "a / b" ], "widgets_values_named": { "expression": "a / b" }, "color": "#332", "bgcolor": "#553" }, { "id": 334, "type": "ComfyMathExpression", "pos": [ 2640, 220 ], "size": [ 340, 150 ], "flags": {}, "order": 11, "mode": 0, "inputs": [ { "localized_name": "a", "name": "values.a", "type": "FLOAT,INT,BOOLEAN", "link": 9019 }, { "localized_name": "b", "name": "values.b", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": 9020 }, { "localized_name": "c", "name": "values.c", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": null }, { "localized_name": "expression", "name": "expression", "type": "STRING", "widget": { "name": "expression" }, "link": null } ], "outputs": [ { "localized_name": "FLOAT", "name": "FLOAT", "type": "FLOAT", "slot_index": 0, "links": [] }, { "localized_name": "INT", "name": "INT", "type": "INT", "slot_index": 1, "links": [ 9022 ] }, { "localized_name": "BOOL", "name": "BOOL", "type": "BOOLEAN", "slot_index": 2, "links": [] } ], "title": "Math Expression (height / gcd)", "properties": { "Node name for S&R": "ComfyMathExpression", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "a / b" ], "widgets_values_named": { "expression": "a / b" }, "color": "#332", "bgcolor": "#553" }, { "id": 335, "type": "StringFormat", "pos": [ 3060, 90 ], "size": [ 360, 190 ], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "localized_name": "a", "name": "values.a", "shape": 7, "type": "*", "link": 9021 }, { "localized_name": "b", "name": "values.b", "shape": 7, "type": "*", "link": 9022 }, { "localized_name": "c", "name": "values.c", "shape": 7, "type": "*", "link": 9023 }, { "localized_name": "f_string", "name": "f_string", "type": "STRING", "widget": { "name": "f_string" }, "link": null }, { "localized_name": "d", "name": "values.d", "shape": 7, "type": "*", "link": 9024 }, { "localized_name": "e", "name": "values.e", "shape": 7, "type": "*", "link": null } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "slot_index": 0, "links": [ 9025 ] } ], "title": "Format Text (canvas aspect ratio + pixels)", "properties": { "Node name for S&R": "StringFormat", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "{a}:{b}, {c} × {d} px" ], "widgets_values_named": { "f_string": "{a}:{b}, {c} × {d} px" } }, { "id": 336, "type": "MarkdownNote", "pos": [ 3060, 340 ], "size": [ 600, 340 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Aspect ratio (gcd-reduced)", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "**Aspect ratio is computed, not typed**\n\n`canvas_settings.aspect_ratio` must read like `7:9, 896 × 1152 px`. This nested subgraph derives it from the `width` / `height` its parent receives from `Get Image Size`:\n\n* the loop count is computed as well — `ceil(1.5 * log2(max(width, height))) + 2` is an upper bound on the Euclidean steps (18 for 896 x 1152, 23 at the 16384 px maximum), so nothing here is hand-typed;\n* inside the loop `r = a mod b`, then `a = b`; once `b` reaches 0 the first value freezes at `gcd(width, height)`;\n* `width / gcd` and `height / gcd` become `ratio, width × height px` in `Format Text (canvas aspect ratio + pixels)`.\n\nSwap the input image or resize the canvas and the ratio follows automatically.\n" ], "widgets_values_named": { "text": "**Aspect ratio is computed, not typed**\n\n`canvas_settings.aspect_ratio` must read like `7:9, 896 × 1152 px`. 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"outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "slot_index": 0, "links": [ 20067 ] } ], "title": "Format Text (this box as a Ming layer)", "properties": { "Node name for S&R": "StringFormat", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ " {{\"description\": \"{a}{b}\", \"coordinates\": \"{c}\", \"hierarchy_and_relation\": \"Sits above the layers listed before it.\", \"color_specs\": {d}}}" ], "widgets_values_named": { "f_string": " {{\"description\": \"{a}{b}\", \"coordinates\": \"{c}\", \"hierarchy_and_relation\": \"Sits above the layers listed before it.\", \"color_specs\": {d}}}" } }, { "id": 243, "type": "StringFormat", "pos": [ 6320, 2550 ], "size": [ 360, 170 ], "flags": {}, "order": 44, "mode": 0, "inputs": [ { "localized_name": "a", "name": "values.a", "shape": 7, "type": "*", "link": 20066 }, { "localized_name": "b", "name": "values.b", "shape": 7, "type": "*", "link": 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"id": 246, "type": "CreateList", "pos": [ 6800, 2550 ], "size": [ 240, 160 ], "flags": {}, "order": 47, "mode": 0, "inputs": [ { "localized_name": "input0", "name": "inputs.input0", "type": "*", "link": 20050 }, { "localized_name": "input1", "name": "inputs.input1", "shape": 7, "type": "*", "link": null } ], "outputs": [ { "localized_name": "list", "name": "list", "shape": 6, "type": "*", "slot_index": 0, "links": [ 20032 ] } ], "properties": { "Node name for S&R": "CreateList", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "color": "#233", "bgcolor": "#355" }, { "id": 247, "type": "EndLoop", "pos": [ 7250, 2950 ], "size": [ 260, 120 ], "flags": {}, "order": 48, "mode": 0, "inputs": [ { "localized_name": "output_value", "name": "output_value", "shape": 7, "type": "*", "link": 20032 }, { "localized_name": "next_iteration_value", "name": "next_iteration_value", "shape": 7, "type": "*", "link": 20033 }, { "localized_name": "termination0", "name": "terminations.termination0", "shape": 7, "type": "*", "link": null }, { "localized_name": "accumulate", "name": "accumulate", "type": "BOOLEAN", "widget": { "name": "accumulate" }, "link": null } ], "outputs": [ { "localized_name": "outputs", "name": "outputs", "shape": 6, "type": "*", "slot_index": 0, "links": [ 20070 ] } ], "properties": { "Node name for S&R": "EndLoop", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ false ], "widgets_values_named": { "accumulate": false }, "color": "#323", "bgcolor": "#535" }, { "id": 249, "type": "StringFormat", "pos": [ 8450, 1170 ], "size": [ 410, 220 ], "flags": {}, "order": 49, "mode": 0, "inputs": [ { "localized_name": "a", "name": "values.a", "shape": 7, "type": "*", "link": 20071 }, { "localized_name": "b", "name": "values.b", "shape": 7, "type": "*", "link": 20068 }, { "localized_name": "c", "name": "values.c", "shape": 7, "type": "*", "link": 20069 }, { "localized_name": "f_string", "name": "f_string", "type": "STRING", "widget": { "name": "f_string" }, "link": null }, { "localized_name": "d", "name": "values.d", "shape": 7, "type": "*", "link": 20070 }, { "localized_name": "e", "name": "values.e", "shape": 7, "type": "*", "link": null } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "slot_index": 0, "links": [ 20034 ] } ], "title": "Format Text (Ming caption, Figma style)", "properties": { "Node name for S&R": "StringFormat", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "{{\"canvas_settings\": {{\"aspect_ratio\": \"{a}\", \"ambient_lighting\": \"{b}\", \"image_style\": \"{c}\"}}, \"layers\": [\n{d}\n]}}" ], "widgets_values_named": { "f_string": "{{\"canvas_settings\": {{\"aspect_ratio\": \"{a}\", \"ambient_lighting\": \"{b}\", \"image_style\": \"{c}\"}}, \"layers\": [\n{d}\n]}}" } }, { "id": 300, "type": "MarkdownNote", "pos": [ -710, 140 ], "size": [ 1200, 620 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Ideogram JSON → Ming caption (built-in nodes only)", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "**What this subgraph does**\n\nTurns the Ideogram JSON + the bounding boxes into Ming's own Figma-style caption (`canvas_settings` + `layers`) and sends it to the `prompt` of **Image Edit (Ming Image 0.1 Design)**.\n\n| input | comes from | carries |\n|---|---|---|\n| `ideogram` | `Build JSON Prompt (Ideogram)` | the Ideogram JSON (style / lighting / background / palette …) |\n| `elements` | `Create Bounding Boxes` → `elements` | the boxes, turned into the text queue the loop eats one item per iteration |\n| `width` / `height` | `Get Image Size` | output size; the nested **Aspect Ratio (gcd-reduced)** subgraph turns them into `7:9, 896 × 1152 px` |\n\nOutput: `caption` → `prompt` of the Image Edit subgraph, plus the preview in `Preview as Text`.\n\n**How the loop works**\n\nOne iteration per box. `Start Loop` runs `count` times, where `count` is the number of boxes — counted on the left by `Replace Text (Regex)` + `Text Length` (that count is wired into the loop's `max_iteration`, so adding or removing boxes needs no rewiring). Each iteration:\n\n* pulls the next box JSON out of the queue,\n* maps `bbox [ymin, xmin, ymax, xmax]` → `cx: …, cy: …, w: …, h: …` (normalised centre + size),\n* `desc` → `description`, `color_palette` → `color_specs`, a text box becomes `Text layer reading \"…\"`,\n* appends the layer and drops that box from the queue.\n\nThe base layer (\"the whole canvas\") is the loop's seed; layers accumulate background → topmost.\n\n**To skip this subgraph**\n\nBypass it (`Ctrl+B`) and either type English into `prompt`, or wire `Build JSON Prompt (Ideogram)` straight into `prompt` to send the Ideogram JSON instead of the Ming caption.\n" ], "widgets_values_named": { "text": "**What this subgraph does**\n\nTurns the Ideogram JSON + the bounding boxes into Ming's own Figma-style caption (`canvas_settings` + `layers`) and sends it to the `prompt` of **Image Edit (Ming Image 0.1 Design)**.\n\n| input | comes from | carries |\n|---|---|---|\n| `ideogram` | `Build JSON Prompt (Ideogram)` | the Ideogram JSON (style / lighting / background / palette …) |\n| `elements` | `Create Bounding Boxes` → `elements` | the boxes, turned into the text queue the loop eats one item per iteration |\n| `width` / `height` | `Get Image Size` | output size; the nested **Aspect Ratio (gcd-reduced)** subgraph turns them into `7:9, 896 × 1152 px` |\n\nOutput: `caption` → `prompt` of the Image Edit subgraph, plus the preview in `Preview as Text`.\n\n**How the loop works**\n\nOne iteration per box. `Start Loop` runs `count` times, where `count` is the number of boxes — counted on the left by `Replace Text (Regex)` + `Text Length` (that count is wired into the loop's `max_iteration`, so adding or removing boxes needs no rewiring). Each iteration:\n\n* pulls the next box JSON out of the queue,\n* maps `bbox [ymin, xmin, ymax, xmax]` → `cx: …, cy: …, w: …, h: …` (normalised centre + size),\n* `desc` → `description`, `color_palette` → `color_specs`, a text box becomes `Text layer reading \"…\"`,\n* appends the layer and drops that box from the queue.\n\nThe base layer (\"the whole canvas\") is the loop's seed; layers accumulate background → topmost.\n\n**To skip this subgraph**\n\nBypass it (`Ctrl+B`) and either type English into `prompt`, or wire `Build JSON Prompt (Ideogram)` straight into `prompt` to send the Ideogram JSON instead of the Ming caption.\n" }, "color": "#222", "bgcolor": "#000" }, { "id": 338, "type": "ffddfd05-3899-4ab3-ab2f-fdc661b4f3ed", "pos": [ 8380, 800 ], "size": [ 420, 220 ], "flags": {}, "order": 50, "mode": 0, "inputs": [ { "name": "width", "type": "INT", "link": 21000 }, { "name": "height", "type": "INT", "link": 21001 } ], "outputs": [ { "localized_name": "STRING", "name": "STRING", "type": "STRING", "links": [ 20071 ] } ], "properties": { "previewExposures": [], "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } } } ], "groups": [ { "id": 11, "title": "① Parse the Ideogram JSON -> canvas_settings + base layer", "bounding": [ -760, 840, 2290, 2420 ], "color": "#3f789e", "flags": {} }, { "id": 12, "title": "② Every box -> queue string + count", "bounding": [ 290, 3340, 1230, 420 ], "color": "#8888aa", "flags": {} }, { "id": 13, "title": "③ Assemble + Start Loop", "bounding": [ 1640, 2490, 1800, 1290 ], "color": "#A88", "flags": {} }, { "id": 15, "title": "③b Loop body: one box -> one layer", "bounding": [ 3650, 3300, 2400, 2240 ], "color": "#7f9bb5", "flags": {} }, { "id": 16, "title": "③c Carry + End Loop", "bounding": [ 6260, 2490, 1310, 1080 ], "color": "#a07f9b", "flags": {} } ], "links": [ { "id": 20000, "origin_id": -10, "origin_slot": 0, "target_id": 200, "target_slot": 0, "type": "DICT" }, { "id": 20001, 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