> ## Documentation Index > Fetch the complete documentation index at: https://docs.modellix.ai/llms.txt > Use this file to discover all available pages before exploring further. # Kling V3 Omni T2V > [Core Function] Kling V3 Omni T2V is a multimodal-leaning text-to-video model in the V3 family, oriented toward stronger semantic control and subject consistency in prompt-led generation. [Strengths] It targets high-fidelity cinematic clips with native audio options, flexible 3-15s duration, and better adherence when scenes demand coherent characters or multi-beat storytelling from text alone. [Best For] Highly recommended for: narrative T2V with recurring subjects, dialogue-aware scenes, brand or product continuity across beats, and premium short films where consistency matters more than raw throughput. [Limitations] Do NOT use this model if the user only needs the cheapest or fastest clip; prefer Kling V3 Turbo T2V. Do NOT use it when the workflow is image-first or needs multi-image references; use Kling V3 Omni I2V or Kling V3 I2V instead. Do NOT use it for deep physics-reasoning specialty tasks better served by Kling Video O1. [Routing] Choose Kling V3 Omni T2V when the user emphasizes Omni, consistency, multimodal quality, or complex text narratives. Prefer Kling V3 T2V as the default high-quality T2V baseline; prefer Kling V3 Turbo T2V when the user stresses speed, cost, or high-volume short-form output. ## OpenAPI ````yaml /model-api/kling/kling-t2v.json post /kling/kling-v3-omni-t2v openapi: 3.1.0 info: description: The text-to-video models API from Kling AI. version: 1.0.0 contact: name: Modellix Support email: support@modellix.ai title: Kling Text-to-Video Models API servers: - url: https://api.modellix.ai/api/v1 description: The text-to-video models API from Kling AI. security: - bearerAuth: [] paths: /kling/kling-v3-omni-t2v: post: summary: Kling V3 Omni T2V description: >- [Core Function] Kling V3 Omni T2V is a multimodal-leaning text-to-video model in the V3 family, oriented toward stronger semantic control and subject consistency in prompt-led generation. [Strengths] It targets high-fidelity cinematic clips with native audio options, flexible 3-15s duration, and better adherence when scenes demand coherent characters or multi-beat storytelling from text alone. [Best For] Highly recommended for: narrative T2V with recurring subjects, dialogue-aware scenes, brand or product continuity across beats, and premium short films where consistency matters more than raw throughput. [Limitations] Do NOT use this model if the user only needs the cheapest or fastest clip; prefer Kling V3 Turbo T2V. Do NOT use it when the workflow is image-first or needs multi-image references; use Kling V3 Omni I2V or Kling V3 I2V instead. Do NOT use it for deep physics-reasoning specialty tasks better served by Kling Video O1. [Routing] Choose Kling V3 Omni T2V when the user emphasizes Omni, consistency, multimodal quality, or complex text narratives. Prefer Kling V3 T2V as the default high-quality T2V baseline; prefer Kling V3 Turbo T2V when the user stresses speed, cost, or high-volume short-form output. operationId: klingV3OmniT2VAsync requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/KlingV3T2VRequest' examples: single_shot: summary: Single-shot generation value: prompt: >- A lone cyclist rides through a neon-lit city street after rain resolution: 4k audio: native aspect_ratio: '16:9' duration: 6 responses: '200': description: Task submitted successfully content: application/json: schema: $ref: '#/components/schemas/AsyncTaskResponse' example: code: 0 message: success data: status: pending task_id: task-v3-t2v-123 model_id: model-123 get_result: method: GET url: https://api.modellix.ai/api/v1/tasks/task-v3-t2v-123 '400': $ref: '#/components/responses/BadRequest' '401': $ref: '#/components/responses/Unauthorized' '429': $ref: '#/components/responses/TooManyRequests' '500': $ref: '#/components/responses/InternalServerError' components: schemas: KlingV3T2VRequest: type: object required: - prompt properties: prompt: type: string description: >- Video generation prompt. May include both positive and negative descriptions in the same text (no separate negative_prompt field). For custom multi-shot storyboards, use `shot n, m, words; shot n, m, words;` where n is the shot index (1-6), m is shot duration in seconds (each >= 1s; sum of all shot durations must equal total duration), and words is the per-shot prompt (max 512 characters). Max length 3072 (recommended <= 2500). minLength: 1 maxLength: 3072 example: >- shot 1, 2, A lone cyclist rides through a neon-lit city street after rain; shot 2, 3, Close-up of raindrops on the helmet as neon reflections glide by; audio: type: string description: >- Whether to generate audio for the video. Official settings.audio: native | off. default: 'off' enum: - native - 'off' example: 'off' multi_shot: type: boolean description: >- When true, the model automatically plans multi-shot transitions. When false, generates a single continuous shot. default: true example: true resolution: type: string description: Output video resolution. default: 720p enum: - 720p - 1080p - 4k example: 1080p aspect_ratio: type: string description: Video aspect ratio. default: '16:9' enum: - '16:9' - '9:16' - '1:1' example: '16:9' duration: type: integer description: Video duration in seconds. Public API accepts integer values. default: 5 enum: - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 example: 6 description: >- Kling V3 text-to-video request aligned with official settings: audio native|off, resolution 720p|1080p|4k, multi_shot, aspect_ratio, duration. No separate negative_prompt. AsyncTaskResponse: type: object required: - code - message - data properties: code: type: integer description: Response code, 0 indicates success example: 0 message: type: string description: Response message example: success data: type: object required: - status - task_id - model_id properties: status: type: string enum: - pending - processing description: Task status example: pending task_id: type: string description: Unique task identifier example: task-abc123 model_id: type: string description: Model ID example: model-123 get_result: type: object description: API information to query the task result properties: method: type: string description: HTTP method example: GET url: type: string description: Full URL to query the task result example: https://api.modellix.ai/api/v1/tasks/task-abc123 description: Detailed data about the submitted asynchronous task. ErrorResponse: type: object required: - code - message properties: code: type: integer description: Error code (equals HTTP status code) example: 400 message: type: string description: 'Error message in format ''Category: detail''' example: 'Invalid parameters: parameter ''prompt'' is required' responses: BadRequest: description: Invalid request parameters content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: code: 400 message: 'Invalid parameters: parameter ''prompt'' is required' Unauthorized: description: Unauthorized - Invalid or missing API Key content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: code: 401 message: 'Authentication failed: invalid API key' TooManyRequests: description: Too many requests - Rate limit exceeded headers: X-RateLimit-Limit: description: Maximum requests per minute schema: type: integer example: 100 X-RateLimit-Remaining: description: Remaining quota in current window schema: type: integer example: 0 X-RateLimit-Reset: description: Rate limit window reset time (Unix timestamp) schema: type: integer example: 1704067260 content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: code: 429 message: >- Rate limit exceeded: 100 requests per minute, retry after 60 seconds InternalServerError: description: Internal server error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: code: 500 message: Internal server error securitySchemes: bearerAuth: type: http scheme: bearer description: 'API Key authentication. Format: `Bearer YOUR_API_KEY`.' ````