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Upload a full-body or upper-body image, select the desired enhancement mode, set the intensity level, and receive an edited output image.\n\n![](https://plugins-media.makeupar.com/smb/blog/post/2024-09-27/daf70f5e-a350-46a3-8b6c-f63bd60c6cf0.jpg)\n\nSupported modes:\n\n- `Six-pack`: Adds visible six-pack abs for a more muscular torso appearance.\n- `Vest-line`: Enhances central abdominal muscle definition for a fit, athletic look.\n\n---\n\n## Integration Guide\n\n**Input Requirements & Processing Criteria:**\n\n- Upload a full-body or upper-body image.\n- Select an enhancement mode: `Six-pack` or `Vest-line`.\n- Choose the desired abdominal enhancement intensity level.\n- Maximum long-side image resolution must not exceed **4096 px**.\n- Source file size must be less than **10 MB**.\n- At least one detectable person is required, with both shoulders visible.\n- The abdomen must be visible, either clothed or unclothed.\n- Supported pose range: `−45° < yaw < 45°`.\n- Single-person processing is supported. If multiple people appear in the image, the API automatically selects the person with the largest visible shoulder area.\n\n**Workflow:**\n\n1. Upload file metadata using the File API.\n2. Retrieve the signed upload URL from the response.\n3. Upload the actual image to the returned URL.\n4. Create an AI task for abs-shape enhancement.\n5. Setup a Webhook or Poll the task status until completion.\n6. Download the generated result image when processing is successful.\n\n---\n\n**Step 1 — Upload File Metadata Using the File API**\n\nUse `POST /s2s/v2.0/file` to create a file record and receive upload details for the source image.\n\n```bash\ncurl --request POST \\\n --url https://yce-api-01.makeupar.com/s2s/v2.0/file \\\n --header 'Authorization: Bearer YOUR_API_KEY' \\\n --header 'content-type: application/json' \\\n --data '{\n \"files\": [\n {\n \"content_type\": \"image/jpg\",\n \"file_name\": \"full_body_photo_01_3dbd1b6683.jpg\",\n \"file_size\": 547541\n }\n ]\n }'\n```\n\n**File API Sample Response:**\n\n```json\n{\n \"status\": 200,\n \"data\": {\n \"files\": [\n {\n \"content_type\": \"image/jpg\",\n \"file_name\": \"full_body_photo_01_3dbd1b6683.jpg\",\n \"file_id\": \"SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9/13W5TOD8/u/FfjK3xgCQ+hRt9MJXBFaud\",\n \"requests\": [\n {\n \"method\": \"PUT\",\n \"url\": \"https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...\",\n \"headers\": {\n \"Content-Length\": \"547541\",\n \"Content-Type\": \"image/jpg\"\n }\n }\n ]\n }\n ]\n }\n}\n```\n\n---\n\n**Step 2 — Retrieve File API Response Details**\n\nThe response contains:\n\n| Field | Description |\n| --- | --- |\n| `file_id` | Identifier used to create the AI task. |\n| `requests.url` | Signed URL for uploading the actual image file. |\n| `requests.method` | Upload method, usually `PUT`. |\n| `requests.headers` | Required headers for the upload request. |\n\n---\n\n**Step 3 — Upload Image to Provided URL**\n\nUse the `requests.url` from the File API response to upload the source image.\n\n```bash\ncurl --location --request PUT 'https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...' \\\n --header 'Content-Type: image/jpg' \\\n --header 'Content-Length: 547541' \\\n --data-binary @'./full_body_photo_01_3dbd1b6683.jpg'\n```\n\n---\n\n**Step 4 — Create an AI Task**\n\nUse `POST /s2s/v2.0/task/abs-shape` to create the abs-enhancement task.\n\n| Parameter | Description | Example |\n| --- | --- | --- |\n| `src_file_id` | File ID returned from the File API upload flow. Required when using uploaded-file workflow. | `\"SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9/13W5TOD8/u/FfjK3xgCQ+hRt9MJXBFaud\"` |\n| `src_file_url` | Direct URL of the source image. Use this alternative to `src_file_id`. | `\"https://example.com/selfie.jpg\"` |\n| `mode` | Enhancement mode. Supported values are `Six-pack` and `Vest-line`. | `\"Six-pack\"` |\n| `intensity` | Abdominal enhancement intensity level. | `1` |\n\n**Example Request:**\n\n```javascript\nconst resp = await fetch(\n 'https://yce-api-01.makeupar.com/s2s/v2.0/task/abs-shape',\n {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n Authorization: 'Bearer '\n },\n body: JSON.stringify({\n src_file_url: 'https://example.com/selfie.jpg',\n mode: 'Six-pack',\n intensity: 1\n })\n }\n);\n\nconst data = await resp.json();\nconsole.log(data);\n```\n\n**AI Task API Response:**\n\n```json\n{\n \"status\": 200,\n \"data\": {\n \"task_id\": \"SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9_13W5TOD8_u_GPi6NqQ3dhlmN-6ntFwhzT\"\n }\n}\n```\n\n---\n\n**Step 5 — Setup a Webhook or Poll for Task Result**\n\nSee the [webhook integration guide](/develop/webhook.md) for setup and verification details.\n\nFor polling, use the returned `task_id` to check task status.\n\n```bash\ncurl --request GET \\\n --url https://yce-api-01.makeupar.com/s2s/v2.0/task/abs-shape/ \\\n --header 'Authorization: Bearer YOUR_API_KEY' \\\n --header 'content-type: application/json'\n```\n\n---\n\n**Step 6 — Retrieve Result Image**\n\nWhen processing is successful, the response includes a download URL in `data.results.url`.\n\n```json\n{\n \"status\": 200,\n \"data\": {\n \"error\": null,\n \"results\": {\n \"url\": \"https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...\"\n },\n \"task_status\": \"success\"\n }\n}\n```\n\n**Invalid API Key Response:**\n\nIf the access token is invalid, the API returns a `401` response.\n\n```json\n{\n \"status\": 401,\n \"error\": \"Unauthorized\",\n \"error_code\": \"InvalidAccessToken\"\n}\n```\n\nUse cases:\n![](https://plugins-media.makeupar.com/smb/blog/post/2025-08-21/307f87b4-d31c-481c-86f1-478c93265a95.jpg)\n\n![](https://plugins-media.makeupar.com/smb/blog/post/2025-08-21/8ab8eca4-b825-4692-aef0-6ffd6176e272.jpg)\n\n---\n\n## File Specs & Errors\n\n**File Specifications:**\n\n| Specification | Requirement |\n| --- | --- |\n| Image type | Full-body or upper-body image. |\n| Source subject | One detectable person with both shoulders visible and abdomen visible. |\n| Pose requirement | Supported pose range is `−45° < yaw < 45°`. |\n| Multi-person handling | If multiple people are detected, the API automatically selects the person with the largest visible shoulder area. |\n| Maximum long-side resolution | Long side must not exceed **4096 px**. |\n| File size limit | Must be less than **10 MB**. |\n| Supported formats | `jpg`, `png`. |\n\n**Error Codes:**\n\n| Error Code | Description |\n| --- | --- |\n| `exceed_max_filesize` | The source image exceeds the maximum allowed dimensions or file size. The long side must not exceed 4096 px, and the file size must remain below 10 MB. |\n| `error_pose` | Pose detection failed due to missing person detection, shoulder visibility issues, abdomen visibility issues, waist-region detection failure, hip-keypoint detection failure, or unsupported pose range. |\n| `error_nsfw_content_detected` | Potential NSFW content was detected in the source image or generated result image. |\n| `invalid_parameter` | Invalid parameters were provided for source keys, destination keys, actions, mode values, intensity levels, or task configuration. |\n| `error_download_image` | The source image could not be downloaded successfully. |\n| `error_decode_image` | The source image could not be decoded successfully. |\n\n**Environment & Dependencies:**\n\n| Tool / Language | Recommended Runtime Versions |\n| --- | --- |\n| cURL | Bash ≥ 3.2; curl ≥ 7.58 with modern TLS/HTTP support; jq ≥ 1.6 for robust JSON parsing. |\n| Node.js | Node ≥ 18 for global `fetch` support. |\n| JavaScript Browser Support | Chrome / Edge ≥ 80, Firefox ≥ 74, Safari ≥ 13.1. |\n| PHP | PHP ≥ 7.4 with modern TLS compatibility; ext-curl recommended or `allow_url_fopen=On` with OpenSSL and JSON support. |\n| Python | Python ≥ 3.10 for f-strings; requests ≥ 2.20.0. |\n| Java | Java 11+ for HttpClient; Jackson Databind ≥ 2.12.0. |\n"}},"baseSlug":"/reference/ai_abs_filter","routesMapping":{}}