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Ideogram4_Img2Img_With_Sam-Denoise.json

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+        "You are a prompt generation AI\nUSE THIS GUIDE for Ideogram 4.\n\nIdeogram 4 text2image is trained exclusively on **structured JSON captions**\n\n\n```\n{\n  \"high_level_description\": \"A golden retriever riding a skateboard down a sunny sidewalk.\",\n  \"style_description\": {\n    \"aesthetics\": \"warm, playful, vibrant\",\n    \"lighting\": \"bright afternoon sunlight, long soft shadows\",\n    \"photo\": \"shallow depth of field, eye-level, 85mm lens\",\n    \"medium\": \"photograph\",\n    \"color_palette\": [\"#F5C542\", \"#87CEEB\", \"#4A4A4A\", \"#FFFFFF\", \"#2E8B57\"]\n  },\n  \"compositional_deconstruction\": {\n    \"background\": \"A sun-drenched suburban sidewalk lined with green hedges and a white picket fence. Dappled light filters through overhead trees.\",\n    \"elements\": [\n      {\"type\": \"obj\", \"bbox\": [200, 300, 800, 900], \"desc\": \"A golden retriever with a fluffy coat, standing on a red skateboard with all four paws. Its tongue is out and ears are flapping in the wind.\"},\n      {\"type\": \"obj\", \"bbox\": [250, 750, 750, 950], \"desc\": \"A worn red skateboard with black wheels rolling along the concrete sidewalk.\"}\n    ]\n  }\n}\n\nThe full caption schema has three top-level fields:\n\n1. `high_level_description` — optional string, but strongly recommended.\n2. `style_description` — optional object.\n3. `compositional_deconstruction` — **required** object.\n\n`compositional_deconstruction` must always be present. Within it, both\n`background` and `elements` are required.\n\n### `high_level_description`\n\nA one- or two-sentence summary of the entire image. Strongly recommended in every prompt.\n\n```\n\"high_level_description\": \"A medium-shot photograph of a barista pouring latte art in a cozy cafe.\"\n```\n\n### `style_description`\n\nControls the visual style, lighting, medium, and color palette.\n\n`style_description` must contain **exactly one** of:\n\n- `photo` — for photographic captions (paired with `medium: \"photograph\"`).\n- `art_style` — for non-photographic captions (illustration, painting, 3D render, etc.).\n\n`aesthetics`, `lighting`, and `medium` are also required when `style_description` is present. `color_palette` is optional.\n\n**Key order is strict** and depends on which of `photo` / `art_style` is used:\n\n| Caption type | Required key order |\n| :----------- | :----------------- |\n| Photo (uses `photo`) | `aesthetics`, `lighting`, `photo`, `medium`, `color_palette` |\n| Non-photo (uses `art_style`) | `aesthetics`, `lighting`, `medium`, `art_style`, `color_palette` |\n\n`color_palette` is the only field in this list that may be omitted; if it is included it must remain in the final position.\n\nField descriptions:\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `aesthetics` | string | Aesthetic keywords (e.g. \"moody, cinematic, desaturated\") |\n| `lighting` | string | Lighting description (e.g. \"golden hour, rim light, dramatic shadows\") |\n| `photo` | string | Camera/lens details for photographic outputs (e.g. \"35mm, f/1.4, bokeh\"). Use this OR `art_style`, not both. |\n| `medium` | string | Medium type: `\"photograph\"`, `\"illustration\"`, `\"3d_render\"`, `\"painting\"`, `\"graphic_design\"`, etc. |\n| `art_style` | string | Art style description for non-photo captions (e.g. \"flat vector illustration, bold outlines\"). Use this OR `photo`, not both. |\n| `color_palette` | list[str] | Hex color codes that steer the image's dominant colors. Up to 16 entries. |\n\n### `compositional_deconstruction`\n\nProvides fine-grained spatial control over the image layout using bounding\nboxes and per-element descriptions. Both fields below are required.\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `background` | string | Description of the background/environment (required) |\n| `elements` | list[dict] | List of elements with optional bounding boxes (required) |\n\n`background` must come before `elements`.\n\nEach element in `elements` must follow a fixed **key order** depending on its\ntype. `bbox` and `color_palette` are optional within an element; if present they\nmust appear in the positions shown below.\n\n| Type | Required key order |\n| :--- | :----------------- |\n| `\"obj\"` | `type`, `bbox`, `desc`, `color_palette` |\n| `\"text\"` | `type`, `bbox`, `text`, `desc`, `color_palette` |\n\nField descriptions:\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `type` | string | `\"obj\"` for objects/subjects, `\"text\"` for in-image text |\n| `bbox` | list[int] | `[y_min, x_min, y_max, x_max]` in normalized `0–1000` coordinates (origin at top-left). Optional. |\n| `desc` | string | Detailed description of the element |\n| `text` | string | (only for `type: \"text\"`) The literal text to render |\n| `color_palette` | list[str] | Optional per-element palette. Up to 5 hex entries. |\n\n**Key ordering matters.** The model was trained on JSON with a consistent key\norder, so maintaining it improves generation quality. The pipeline runs\n[`CaptionVerifier`](../src/ideogram4/caption_verifier.py) on every prompt and emits\nwarnings for unknown keys, missing required keys, or out-of-order keys.\n\n**Hex color format.** Colors in `color_palette` must be uppercase\n`#RRGGBB` strings (e.g. `#1B1B2F`, not `#1b1b2f` or `#fff`).\n\n**Encoding.** When serializing with Python's `json` module, pass\n`separators=(\",\", \":\")` and `ensure_ascii=False`.\n`CaptionVerifier` warns when it detects `\\uXXXX` escapes with no literal\nnon-ASCII characters in the raw text.\n\n## Color palette conditioning\n\nOne of Ideogram 4's distinctive features is **color palette control**. By\nproviding a `color_palette` array of hex colors in `style_description`, you\ncan steer the dominant colors of the generated image.\n\n```\n\"style_description\": {\n  \"aesthetics\": \"moody, cinematic\",\n  \"lighting\": \"low-key, deep shadows\",\n  \"photo\": \"35mm, f/1.4\",\n  \"medium\": \"photograph\",\n  \"color_palette\": [\"#1B1B2F\", \"#162447\", \"#1F4068\", \"#E43F5A\", \"#F5F5F5\"]\n}\n```\n\n### Example: corporate design palette\n\n```\n{\n  \"high_level_description\": \"A clean, modern business card layout for a tech company.\",\n  \"style_description\": {\n    \"aesthetics\": \"minimal, professional, geometric\",\n    \"lighting\": \"even, diffuse studio lighting\",\n    \"medium\": \"graphic_design\",\n    \"art_style\": \"flat vector design, generous whitespace, sans-serif typography\",\n    \"color_palette\": [\"#FFFFFF\", \"#F0F0F0\", \"#333333\", \"#0066FF\", \"#00CC88\"]\n  },\n  \"compositional_deconstruction\": {\n    \"background\": \"A solid off-white card surface with subtle paper texture.\",\n    \"elements\": [\n      {\"type\": \"text\", \"text\": \"ACME TECH\", \"desc\": \"Bold dark grey sans-serif company name across the upper third of the card.\"},\n      {\"type\": \"text\", \"text\": \"hello@acme.tech\", \"desc\": \"Small blue sans-serif contact email near the bottom of the card.\"}\n    ]\n  }\n}\n```\n\nReturn json only, no warnings.",
+        "TASK: describe this image as json prompt for Ideogram but change outfit to dark bikini",
+        2000,
+        0.4
+      ]
+    },
+    {
+      "id": 25,
+      "type": "GrowMaskWithBlur",
+      "pos": [
+        2097.585922018854,
+        2124.76582068338
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+      "size": [
+        299.84375,
+        246
+      ],
+      "flags": {},
+      "order": 26,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 65
+        }
+      ],
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            106
+          ]
+        },
+        {
+          "name": "mask_inverted",
+          "type": "MASK",
+          "links": []
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-kjnodes",
+        "ver": "1.4.7",
+        "Node name for S&R": "GrowMaskWithBlur"
+      },
+      "widgets_values": [
+        6,
+        0,
+        false,
+        false,
+        8,
+        1,
+        1,
+        true
+      ]
+    },
+    {
+      "id": 34,
+      "type": "Note",
+      "pos": [
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+        1980.6254313140853
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+      "size": [
+        313.81888243238654,
+        88
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "to keep face (outpaint):\nSAM2: face, hair 0.25 + invert mask + denoise 0.90\n\nto inpaint:\nSAM2: background, 0.25 + no invert + denoise 0.90"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 24,
+      "type": "GroundingDinoSAM2Segment (segment anything2)",
+      "pos": [
+        2058.5672150080236,
+        1815.7827486325534
+      ],
+      "size": [
+        379.290625,
+        122
+      ],
+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "sam_model",
+          "type": "SAM2_MODEL",
+          "link": 62
+        },
+        {
+          "name": "grounding_dino_model",
+          "type": "GROUNDING_DINO_MODEL",
+          "link": 63
+        },
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 64
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": null
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "links": [
+            65
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfyui-sam2",
+        "ver": "e6d435bd7820c80e45fd7b5ba5038e7bf1d64f6e",
+        "Node name for S&R": "GroundingDinoSAM2Segment (segment anything2)"
+      },
+      "widgets_values": [
+        "face, hair",
+        0.25
+      ]
+    },
+    {
+      "id": 35,
+      "type": "Note",
+      "pos": [
+        333.9349547262961,
+        262.4381423564219
+      ],
+      "size": [
+        431.8356939927472,
+        265.14302679747175
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "nodes",
+      "properties": {},
+      "widgets_values": [
+        "int8 nodes\nhttps://github.com/BobJohnson24/ComfyUI-INT8-Fast\n\nint8 models\nhttps://huggingface.co/bertbobson/Ideogram-4-INT8-ConvRot/tree/main\n\nkj prompt builder\nhttps://github.com/kijai/ComfyUI-KJNodes\n\nsam2\nhttps://github.com/neverbiasu/ComfyUI-SAM2\n\nclip to another cuda\nhttps://gist.github.com/city96/30743dfdfe129b331b5676a79c3a8a39\n\nmy OpenAI.CaptionImage node with llama.cpp server\nhttps://github.com/Mozer/ComfyUI-OpenAI\n(you can use online free API from mistral or openrouter)\n\nTG:\nhttp://t.me/tensorbanana\n"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 17,
+      "type": "PreviewAny",
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+      "mode": 0,
+      "inputs": [
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+          "name": "source",
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+          "link": 59
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.24.0",
+        "Node name for S&R": "PreviewAny"
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+  "config": {},
+  "extra": {
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+      "offset": [
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+        -25.33318382851526
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+    "frontendVersion": "1.45.15",
+    "VHS_latentpreview": false,
+    "VHS_latentpreviewrate": 3,
+    "VHS_MetadataImage": true,
+    "VHS_KeepIntermediate": true
+  },
+  "version": 0.4
+}

Ideogram4_Img2Img_Without_Sam2.json

@@ -0,0 +1,3264 @@
+{
+  "id": "8e901a3d-8178-479f-8d98-71ec41d692ff",
+  "revision": 0,
+  "last_node_id": 363,
+  "last_link_id": 513,
+  "nodes": [
+    {
+      "id": 278,
+      "type": "Note",
+      "pos": [
+        8728.988551245822,
+        207.99399504857706
+      ],
+      "size": [
+        227.18187777932962,
+        97.26566486610477
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Попытки убрать цензуру",
+      "properties": {},
+      "widgets_values": [
+        "Стартовать с sigma 1.00\nЗакончить на sigma 0.98\nШаги 2\nИнтервал - linear"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 301,
+      "type": "Reroute",
+      "pos": [
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+      "flags": {},
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+      "inputs": [
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+          "name": "",
+          "type": "*",
+          "widget": {
+            "name": "value"
+          },
+          "link": 419
+        }
+      ],
+      "outputs": [
+        {
+          "name": "FLOAT",
+          "type": "FLOAT",
+          "links": [
+            403
+          ]
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
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+    },
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+      "id": 302,
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+      "inputs": [
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+          "name": "",
+          "type": "*",
+          "widget": {
+            "name": "value"
+          },
+          "link": 420
+        }
+      ],
+      "outputs": [
+        {
+          "name": "FLOAT",
+          "type": "FLOAT",
+          "links": [
+            402
+          ]
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
+      }
+    },
+    {
+      "id": 303,
+      "type": "Reroute",
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+        817.4600830006606
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+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "widget": {
+            "name": "value"
+          },
+          "link": 421
+        }
+      ],
+      "outputs": [
+        {
+          "name": "INT",
+          "type": "INT",
+          "links": [
+            399
+          ]
+        }
+      ],
+      "properties": {
+        "showOutputText": true,
+        "horizontal": false
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+    },
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+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "TODO",
+      "properties": {},
+      "widgets_values": [
+        "Нужно выяснить точные параметры для cfg override и необходимость auraflow"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 306,
+      "type": "CFGOverride",
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+      "mode": 0,
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+          "type": "MODEL",
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+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            427
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.23.0",
+        "Node name for S&R": "CFGOverride",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        },
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
+      },
+      "widgets_values": [
+        3,
+        0.9,
+        1
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+    },
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+      "id": 308,
+      "type": "ConditioningZeroOut",
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+      "flags": {
+        "collapsed": true
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+      "order": 34,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "conditioning",
+          "type": "CONDITIONING",
+          "link": 426
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            430
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+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.9.1",
+        "Node name for S&R": "ConditioningZeroOut",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        },
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
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+      "widgets_values": []
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+    {
+      "id": 305,
+      "type": "ModelSamplingAuraFlow",
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+          "type": "MODEL",
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+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            423
+          ]
+        }
+      ],
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.24.0",
+        "Node name for S&R": "ModelSamplingAuraFlow",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {},
+          "version": "7.8"
+        }
+      },
+      "widgets_values": [
+        5
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+      "id": 296,
+      "type": "OTUNetLoaderW8A8",
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+        "You are a prompt generation AI\nUSE THIS GUIDE for Ideogram 4.\n\nIdeogram 4 text2image is trained exclusively on **structured JSON captions**\n\n\n```\n{\n  \"high_level_description\": \"A golden retriever riding a skateboard down a sunny sidewalk.\",\n  \"style_description\": {\n    \"aesthetics\": \"warm, playful, vibrant\",\n    \"lighting\": \"bright afternoon sunlight, long soft shadows\",\n    \"photo\": \"shallow depth of field, eye-level, 85mm lens\",\n    \"medium\": \"photograph\",\n    \"color_palette\": [\"#F5C542\", \"#87CEEB\", \"#4A4A4A\", \"#FFFFFF\", \"#2E8B57\"]\n  },\n  \"compositional_deconstruction\": {\n    \"background\": \"A sun-drenched suburban sidewalk lined with green hedges and a white picket fence. Dappled light filters through overhead trees.\",\n    \"elements\": [\n      {\"type\": \"obj\", \"bbox\": [200, 300, 800, 900], \"desc\": \"A golden retriever with a fluffy coat, standing on a red skateboard with all four paws. Its tongue is out and ears are flapping in the wind.\"},\n      {\"type\": \"obj\", \"bbox\": [250, 750, 750, 950], \"desc\": \"A worn red skateboard with black wheels rolling along the concrete sidewalk.\"}\n    ]\n  }\n}\n\nThe full caption schema has three top-level fields:\n\n1. `high_level_description` — optional string, but strongly recommended.\n2. `style_description` — optional object.\n3. `compositional_deconstruction` — **required** object.\n\n`compositional_deconstruction` must always be present. Within it, both\n`background` and `elements` are required.\n\n### `high_level_description`\n\nA one- or two-sentence summary of the entire image. Strongly recommended in every prompt.\n\n```\n\"high_level_description\": \"A medium-shot photograph of a barista pouring latte art in a cozy cafe.\"\n```\n\n### `style_description`\n\nControls the visual style, lighting, medium, and color palette.\n\n`style_description` must contain **exactly one** of:\n\n- `photo` — for photographic captions (paired with `medium: \"photograph\"`).\n- `art_style` — for non-photographic captions (illustration, painting, 3D render, etc.).\n\n`aesthetics`, `lighting`, and `medium` are also required when `style_description` is present. `color_palette` is optional.\n\n**Key order is strict** and depends on which of `photo` / `art_style` is used:\n\n| Caption type | Required key order |\n| :----------- | :----------------- |\n| Photo (uses `photo`) | `aesthetics`, `lighting`, `photo`, `medium`, `color_palette` |\n| Non-photo (uses `art_style`) | `aesthetics`, `lighting`, `medium`, `art_style`, `color_palette` |\n\n`color_palette` is the only field in this list that may be omitted; if it is included it must remain in the final position.\n\nField descriptions:\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `aesthetics` | string | Aesthetic keywords (e.g. \"moody, cinematic, desaturated\") |\n| `lighting` | string | Lighting description (e.g. \"golden hour, rim light, dramatic shadows\") |\n| `photo` | string | Camera/lens details for photographic outputs (e.g. \"35mm, f/1.4, bokeh\"). Use this OR `art_style`, not both. |\n| `medium` | string | Medium type: `\"photograph\"`, `\"illustration\"`, `\"3d_render\"`, `\"painting\"`, `\"graphic_design\"`, etc. |\n| `art_style` | string | Art style description for non-photo captions (e.g. \"flat vector illustration, bold outlines\"). Use this OR `photo`, not both. |\n| `color_palette` | list[str] | Hex color codes that steer the image's dominant colors. Up to 16 entries. |\n\n### `compositional_deconstruction`\n\nProvides fine-grained spatial control over the image layout using bounding\nboxes and per-element descriptions. Both fields below are required.\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `background` | string | Description of the background/environment (required) |\n| `elements` | list[dict] | List of elements with optional bounding boxes (required) |\n\n`background` must come before `elements`.\n\nEach element in `elements` must follow a fixed **key order** depending on its\ntype. `bbox` and `color_palette` are optional within an element; if present they\nmust appear in the positions shown below.\n\n| Type | Required key order |\n| :--- | :----------------- |\n| `\"obj\"` | `type`, `bbox`, `desc`, `color_palette` |\n| `\"text\"` | `type`, `bbox`, `text`, `desc`, `color_palette` |\n\nField descriptions:\n\n| Field | Type | Description |\n| :---- | :--- | :---------- |\n| `type` | string | `\"obj\"` for objects/subjects, `\"text\"` for in-image text |\n| `bbox` | list[int] | `[y_min, x_min, y_max, x_max]` in normalized `0–1000` coordinates (origin at top-left). Optional. |\n| `desc` | string | Detailed description of the element |\n| `text` | string | (only for `type: \"text\"`) The literal text to render |\n| `color_palette` | list[str] | Optional per-element palette. Up to 5 hex entries. |\n\n**Key ordering matters.** The model was trained on JSON with a consistent key\norder, so maintaining it improves generation quality. The pipeline runs\n[`CaptionVerifier`](../src/ideogram4/caption_verifier.py) on every prompt and emits\nwarnings for unknown keys, missing required keys, or out-of-order keys.\n\n**Hex color format.** Colors in `color_palette` must be uppercase\n`#RRGGBB` strings (e.g. `#1B1B2F`, not `#1b1b2f` or `#fff`).\n\n**Encoding.** When serializing with Python's `json` module, pass\n`separators=(\",\", \":\")` and `ensure_ascii=False`.\n`CaptionVerifier` warns when it detects `\\uXXXX` escapes with no literal\nnon-ASCII characters in the raw text.\n\n## Color palette conditioning\n\nOne of Ideogram 4's distinctive features is **color palette control**. By\nproviding a `color_palette` array of hex colors in `style_description`, you\ncan steer the dominant colors of the generated image.\n\n```\n\"style_description\": {\n  \"aesthetics\": \"moody, cinematic\",\n  \"lighting\": \"low-key, deep shadows\",\n  \"photo\": \"35mm, f/1.4\",\n  \"medium\": \"photograph\",\n  \"color_palette\": [\"#1B1B2F\", \"#162447\", \"#1F4068\", \"#E43F5A\", \"#F5F5F5\"]\n}\n```\n\n### Example: corporate design palette\n\n```\n{\n  \"high_level_description\": \"A clean, modern business card layout for a tech company.\",\n  \"style_description\": {\n    \"aesthetics\": \"minimal, professional, geometric\",\n    \"lighting\": \"even, diffuse studio lighting\",\n    \"medium\": \"graphic_design\",\n    \"art_style\": \"flat vector design, generous whitespace, sans-serif typography\",\n    \"color_palette\": [\"#FFFFFF\", \"#F0F0F0\", \"#333333\", \"#0066FF\", \"#00CC88\"]\n  },\n  \"compositional_deconstruction\": {\n    \"background\": \"A solid off-white card surface with subtle paper texture.\",\n    \"elements\": [\n      {\"type\": \"text\", \"text\": \"ACME TECH\", \"desc\": \"Bold dark grey sans-serif company name across the upper third of the card.\"},\n      {\"type\": \"text\", \"text\": \"hello@acme.tech\", \"desc\": \"Small blue sans-serif contact email near the bottom of the card.\"}\n    ]\n  }\n}\n```",
+        "TASK: describe this image as json prompt for Ideogram. make sure to put actual English text in bboxes if needed. change her outfit to dark bikini.",
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+        "int8 nodes\nhttps://github.com/BobJohnson24/ComfyUI-INT8-Fast\n\nint8 models\nhttps://huggingface.co/bertbobson/Ideogram-4-INT8-ConvRot/tree/main\n\nkj prompt builder\nhttps://github.com/kijai/ComfyUI-KJNodes\n\n\nclip to another cuda\nhttps://gist.github.com/city96/30743dfdfe129b331b5676a79c3a8a39\n\nmy OpenAI.CaptionImage node with llama.cpp server\nhttps://github.com/Mozer/ComfyUI-OpenAI\n(you can use online free API from mistral or openrouter)\n\nTG:\nhttp://t.me/tensorbanana"
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