# LTX-2 19B Distilled > Generate video with audio from text using LTX-2 Distilled and custom LoRA ## Overview - **Endpoint**: `https://fal.run/fal-ai/ltx-2-19b/distilled/text-to-video/lora` - **Model ID**: `fal-ai/ltx-2-19b/distilled/text-to-video/lora` - **Category**: text-to-video - **Kind**: inference ## Pricing Your request will cost $0.001 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 $0.112. 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_4_3` - Default: `"landscape_4_3"` - 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: `25` - Default: `25` - Range: `1` to `60` - **`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: `"blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio,incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."` - Default: `"blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio,incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts."` - **`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 **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_4_3", "generate_audio": true, "use_multiscale": true, "fps": 25, "acceleration": "none", "camera_lora": "none", "camera_lora_scale": 1, "negative_prompt": "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, wrong gaze direction, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio,incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts.", "enable_prompt_expansion": true, "enable_safety_checker": true, "video_output_type": "X264 (.mp4)", "video_quality": "high", "video_write_mode": "balanced", "loras": [ { "path": "", "scale": 1 } ] } ``` ### Output Schema The API returns the following output format: - **`video`** (`VideoFile`, _required_): The generated video. - Examples: {"duration":6.44,"content_type":"video/mp4","url":"https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4","height":704,"num_frames":161,"file_name":"sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4","fps":25,"width":1248} - **`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": { "duration": 6.44, "content_type": "video/mp4", "url": "https://v3b.fal.media/files/b/0a8824b1/sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4", "height": 704, "num_frames": 161, "file_name": "sdm0KfmenrlywesfzY1Y1_if6euPp1.mp4", "fps": 25, "width": 1248 }, "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-2-19b/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-2-19b/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-2-19b/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-2-19b/distilled/text-to-video/lora) - [API Documentation](https://fal.ai/models/fal-ai/ltx-2-19b/distilled/text-to-video/lora/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ltx-2-19b/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)