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feat: gen hunyuan-part
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‎docs/api-references/3d-generating-models/Tencent/hunyuan-part.json‎

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{
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"openapi": "3.0.0",
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"info": {
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"title": "AIML API",
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"version": "1.0.0"
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},
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"servers": [
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{
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"url": "https://api.aimlapi.com"
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}
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],
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"paths": {
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"/v1/images/generations": {
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"post": {
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"operationId": "_v1_images_generations",
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"requestBody": {
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"required": true,
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"content": {
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"application/json": {
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"schema": {
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"type": "object",
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"properties": {
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"model": {
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"type": "string",
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"enum": [
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"tencent/hunyuan-part"
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]
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},
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"mesh_url": {
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"type": "string",
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"format": "uri",
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"description": "URL of the 3D model file (.glb or .obj) to process for segmentation."
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},
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"point_prompt_x": {
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"type": "number",
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"minimum": -1,
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"maximum": 1,
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"description": "X coordinate of the point prompt for segmentation."
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},
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"point_prompt_y": {
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"type": "number",
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"minimum": -1,
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"maximum": 1,
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"description": "Y coordinate of the point prompt for segmentation."
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},
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"point_prompt_z": {
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"type": "number",
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"minimum": -1,
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"maximum": 1,
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"description": "Z coordinate of the point prompt for segmentation."
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},
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"point_num": {
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"type": "integer",
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"default": 100000,
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"description": "Number of points to sample from the mesh."
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},
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"use_normal": {
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"type": "boolean",
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"default": true,
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"description": "Whether to use normal information for segmentation."
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},
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"noise_std": {
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"type": "number",
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"description": "Standard deviation of noise to add to sampled points."
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},
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"seed": {
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"type": "integer",
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"minimum": 1,
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"description": "The same seed and the same prompt given to the same version of the model will output the same image every time."
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}
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},
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"required": [
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"model",
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"mesh_url"
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],
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"title": "tencent/hunyuan-part"
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}
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}
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}
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},
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"type": "object",
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"properties": {
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"data": {
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"type": "array",
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"nullable": true,
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"items": {
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"type": "object",
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"properties": {
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"url": {
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"type": "string",
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"nullable": true,
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"description": "The URL where the file can be downloaded from.",
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"example": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png"
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},
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"b64_json": {
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"type": "string",
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"nullable": true,
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"description": "The base64-encoded JSON of the generated image.",
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"example": null
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}
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}
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},
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"description": "The list of generated images."
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},
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"meta": {
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"type": "object",
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"nullable": true,
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"properties": {
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"usage": {
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"type": "object",
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"nullable": true,
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"properties": {
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"credits_used": {
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"type": "number",
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"description": "The number of tokens consumed during generation.",
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"example": 120000
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}
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},
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"required": [
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"credits_used"
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]
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}
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},
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"description": "Additional details about the generation."
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}
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}
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}
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}
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}
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}
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},
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"x-hideTryItPanel": true,
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"x-codeSamples": [
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{
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"lang": "JavaScript",
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"source": "async function main() {\n const response = await fetch('https://api.aimlapi.com/v1/images/generations', {\n method: 'POST',\n headers: {\n 'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n \"model\": \"tencent/hunyuan-part\",\n \"mesh_url\": \"https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb\"\n }),\n });\n\n const data = await response.json();\n console.log(JSON.stringify(data, null, 2));\n}\n\nmain();"
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},
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{
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"lang": "Python",
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"source": "import requests\n\nresponse = requests.post(\n \"https://api.aimlapi.com/v1/images/generations\",\n headers={\n \"Content-Type\": \"application/json\",\n \"Authorization\": \"Bearer <YOUR_AIMLAPI_KEY>\",\n },\n json={\n \"model\": \"tencent/hunyuan-part\",\n \"mesh_url\": \"https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb\"\n }\n)\n\ndata = response.json()\nprint(data)"
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},
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{
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"lang": "cURL",
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"source": "curl -L \\\n --request POST \\\n --url 'https://api.aimlapi.com/v1/images/generations' \\\n --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \\\n --header 'Content-Type: application/json' \\\n --data '{\n \"model\": \"tencent/hunyuan-part\",\n \"mesh_url\": \"https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb\"\n }'"
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},
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{
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"lang": "HTTP",
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"source": "POST /v1/images/generations HTTP/1.1\nHost: api.aimlapi.com\nAuthorization: Bearer <YOUR_AIMLAPI_KEY>\nContent-Type: application/json\nAccept: */*\n\n{\n \"model\": \"tencent/hunyuan-part\",\n \"mesh_url\": \"https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb\"\n}"
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}
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]
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}
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}
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},
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"components": {
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"securitySchemes": {
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"access-token": {
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"scheme": "bearer",
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"bearerFormat": "<YOUR_AIMLAPI_KEY>",
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"type": "http",
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"description": "Bearer key"
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}
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}
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}
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}

‎packages/generators-v2/src/json_for-docs_generation.json‎

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[
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{
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"name": "google/veo3-1-extend-video",
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"alias": "veo3-1-extend-video",
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"category": "video-models",
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"vendor": "google",
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"url": "https://ai.aimlapi.com/docs-json?endpoint=internal/video-generations/submit&model=google/veo3-1-extend-video",
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"codeSamples": "video:video"
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},
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{
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"name": "google/veo3-1-fast-extend-video",
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"alias": "veo3-1-fast-extend-video",
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"category": "video-models",
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"vendor": "google",
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"url": "https://ai.aimlapi.com/docs-json?endpoint=internal/video-generations/submit&model=google/veo3-1-fast-extend-video",
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"codeSamples": "video:video"
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"name": "tencent/hunyuan-part",
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"url": "https://ai.aimlapi.com/docs-json?endpoint=openai/image-generations&model=tencent/hunyuan-part",
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"alias": "hunyuan-part",
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"category": "3d-generating-models",
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"vendor": "Tencent",
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"codeSamples": "custom",
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"customUrlApi": "https://api.aimlapi.com/v1/images/generations",
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"customParams":{
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"model": "tencent/hunyuan-part",
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"mesh_url": "https://storage.googleapis.com/falserverless/model_tests/video_models/base_basic_shaded.glb"
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}
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}
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]

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