# LTX-2.3 22B Distilled > Generate video with audio from text using LTX-2.3 Distilled and custom LoRA ## Overview - **Endpoint**: `https://fal.run/fal-ai/ltx-2.3-22b/distilled/text-to-video/lora` - **Model ID**: `fal-ai/ltx-2.3-22b/distilled/text-to-video/lora` - **Category**: text-to-video - **Kind**: inference ## Pricing Your request will cost $0.001405 per megapixel of generated video data (width × height × frames), rounded up. For example, if you generate a video that is 121 frames long at 1280 × 720, your total generated video is ≈112 MP, and your request will cost $0.1567. For more details, see [fal.ai pricing](https://fal.ai/pricing). ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): The prompt to generate the video from. - Examples: "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain." - **`num_frames`** (`integer`, _optional_): The number of frames to generate. Default value: `121` - Default: `121` - Range: `9` to `481` - **`video_size`** (`ImageSize | Enum`, _optional_): The size of the generated video. Default value: `landscape_16_9` - Default: `"landscape_16_9"` - One of: ImageSize | Enum - **`generate_audio`** (`boolean`, _optional_): Whether to generate audio for the video. Default value: `true` - Default: `true` - **`use_multiscale`** (`boolean`, _optional_): Whether to use multi-scale generation. If True, the model will generate the video at a smaller scale first, then use the smaller video to guide the generation of a video at or above your requested size. This results in better coherence and details. Default value: `true` - Default: `true` - **`fps`** (`float`, _optional_): The frames per second of the generated video. Default value: `24` - Default: `24` - Range: `1` to `60` - **`scheduler`** (`SchedulerEnum`, _optional_): The scheduler to use. Default value: `"beta"` - Default: `"beta"` - Options: `"ltx2"`, `"linear_quadratic"`, `"beta"` - Examples: "beta" - **`acceleration`** (`AccelerationEnum`, _optional_): The acceleration level to use. Default value: `"none"` - Default: `"none"` - Options: `"none"`, `"regular"`, `"high"`, `"full"` - Examples: "none" - **`camera_lora`** (`CameraLoRAEnum`, _optional_): The camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. Default value: `"none"` - Default: `"none"` - Options: `"dolly_in"`, `"dolly_out"`, `"dolly_left"`, `"dolly_right"`, `"jib_up"`, `"jib_down"`, `"static"`, `"none"` - Examples: "none" - **`camera_lora_scale`** (`float`, _optional_): The scale of the camera LoRA to use. This allows you to control the camera movement of the generated video more accurately than just prompting the model to move the camera. Default value: `1` - Default: `1` - Range: `0` to `1` - **`negative_prompt`** (`string`, _optional_): The negative prompt to generate the video from. Default value: `"news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static"` - Default: `"news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static"` - **`seed`** (`integer`, _optional_): The seed for the random number generator. - **`enable_prompt_expansion`** (`boolean`, _optional_): Whether to enable prompt expansion. Default value: `true` - Default: `true` - **`enable_safety_checker`** (`boolean`, _optional_): Whether to enable the safety checker. Default value: `true` - Default: `true` - **`video_output_type`** (`VideoOutputTypeEnum`, _optional_): The output type of the generated video. Default value: `"X264 (.mp4)"` - Default: `"X264 (.mp4)"` - Options: `"X264 (.mp4)"`, `"VP9 (.webm)"`, `"PRORES4444 (.mov)"`, `"GIF (.gif)"` - **`video_quality`** (`VideoQualityEnum`, _optional_): The quality of the generated video. Default value: `"high"` - Default: `"high"` - Options: `"low"`, `"medium"`, `"high"`, `"maximum"` - **`video_write_mode`** (`VideoWriteModeEnum`, _optional_): The write mode of the generated video. Default value: `"balanced"` - Default: `"balanced"` - Options: `"fast"`, `"balanced"`, `"small"` - **`sync_mode`** (`boolean`, _optional_): If `True`, the media will be returned as a data URI and the output data won't be available in the request history. - Default: `false` - **`loras`** (`list`, _required_): The LoRAs to use for the generation. - Array of LoRAInput - **`distill_lora_second_pass_scale`** (`float`, _optional_): The scale of the distill LoRA to use for the second and subsequent passes. Default value: `0.5` - Default: `0.5` - Range: `0` to `1` **Required Parameters Example**: ```json { "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.", "loras": [ { "path": "", "scale": 1 } ] } ``` **Full Example**: ```json { "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.", "num_frames": 121, "video_size": "landscape_16_9", "generate_audio": true, "use_multiscale": true, "fps": 24, "scheduler": "beta", "acceleration": "none", "camera_lora": "none", "camera_lora_scale": 1, "negative_prompt": "news broadcast, 3d animation, computer graphics, pc game, console game, video game, cartoon, childish, watermark, logo, text, on screen text, subtitles, titles, signature, slowmo, static", "enable_prompt_expansion": true, "enable_safety_checker": true, "video_output_type": "X264 (.mp4)", "video_quality": "high", "video_write_mode": "balanced", "loras": [ { "path": "", "scale": 1 } ], "distill_lora_second_pass_scale": 0.5 } ``` ### Output Schema The API returns the following output format: - **`video`** (`VideoFile`, _required_): The generated video. - Examples: {"width":1248,"height":704,"num_frames":161,"url":"https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4","duration":6.44,"file_name":"sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4","fps":25,"content_type":"video/mp4"} - **`seed`** (`integer`, _required_): The seed used for the random number generator. - Examples: 149063119 - **`prompt`** (`string`, _required_): The prompt used for the generation. - Examples: "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain." **Example Response**: ```json { "video": { "width": 1248, "height": 704, "num_frames": 161, "url": "https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4", "duration": 6.44, "file_name": "sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4", "fps": 25, "content_type": "video/mp4" }, "seed": 149063119, "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain." } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/ltx-2.3-22b/distilled/text-to-video/lora \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.", "loras": [ { "path": "", "scale": 1 } ] }' ``` ### Python Ensure you have the Python client installed: ```bash pip install fal-client ``` Then use the API client to make requests: ```python import fal_client def on_queue_update(update): if isinstance(update, fal_client.InProgress): for log in update.logs: print(log["message"]) result = fal_client.subscribe( "fal-ai/ltx-2.3-22b/distilled/text-to-video/lora", arguments={ "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.", "loras": [{ "path": "", "scale": 1 }] }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ### JavaScript Ensure you have the JavaScript client installed: ```bash npm install --save @fal-ai/client ``` Then use the API client to make requests: ```javascript import { fal } from "@fal-ai/client"; const result = await fal.subscribe("fal-ai/ltx-2.3-22b/distilled/text-to-video/lora", { input: { prompt: "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.", loras: [{ path: "", scale: 1 }] }, logs: true, onQueueUpdate: (update) => { if (update.status === "IN_PROGRESS") { update.logs.map((log) => log.message).forEach(console.log); } }, }); console.log(result.data); console.log(result.requestId); ``` ## Additional Resources ### Documentation - [Model Playground](https://fal.ai/models/fal-ai/ltx-2.3-22b/distilled/text-to-video/lora) - [API Documentation](https://fal.ai/models/fal-ai/ltx-2.3-22b/distilled/text-to-video/lora/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ltx-2.3-22b/distilled/text-to-video/lora) ### fal.ai Platform - [Platform Documentation](https://docs.fal.ai) - [Python Client](https://docs.fal.ai/clients/python) - [JavaScript Client](https://docs.fal.ai/clients/javascript)