# Wan > Wan 2.2's 5B distill model produces up to 5 seconds of video 720p at 24FPS with fluid motion and powerful prompt understanding ## Overview - **Endpoint**: `https://fal.run/fal-ai/wan/v2.2-5b/text-to-video/distill` - **Model ID**: `fal-ai/wan/v2.2-5b/text-to-video/distill` - **Category**: text-to-video - **Kind**: inference ## Pricing - **Price**: $0.08 per videos 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 text prompt to guide video generation. - Examples: "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" - **`num_frames`** (`integer`, _optional_): Number of frames to generate. Must be between 17 to 161 (inclusive). Default value: `81` - Default: `81` - Range: `17` to `161` - Examples: 81 - **`frames_per_second`** (`integer`, _optional_): Frames per second of the generated video. Must be between 4 to 60. When using interpolation and `adjust_fps_for_interpolation` is set to true (default true,) the final FPS will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If `adjust_fps_for_interpolation` is set to false, this value will be used as-is. Default value: `24` - Default: `24` - Range: `4` to `60` - Examples: 24 - **`seed`** (`integer`, _optional_): Random seed for reproducibility. If None, a random seed is chosen. - **`resolution`** (`ResolutionEnum`, _optional_): Resolution of the generated video (580p or 720p). Default value: `"720p"` - Default: `"720p"` - Options: `"580p"`, `"720p"` - Examples: "720p" - **`aspect_ratio`** (`AspectRatioEnum`, _optional_): Aspect ratio of the generated video (16:9 or 9:16). Default value: `"16:9"` - Default: `"16:9"` - Options: `"16:9"`, `"9:16"`, `"1:1"` - Examples: "16:9", "9:16", "1:1" - **`num_inference_steps`** (`integer`, _optional_): Number of inference steps for sampling. Higher values give better quality but take longer. Default value: `40` - Default: `40` - Range: `2` to `50` - Examples: 40 - **`enable_safety_checker`** (`boolean`, _optional_): If set to true, input data will be checked for safety before processing. - Default: `false` - Examples: true - **`enable_output_safety_checker`** (`boolean`, _optional_): If set to true, output video will be checked for safety after generation. - Default: `false` - Examples: false - **`enable_prompt_expansion`** (`boolean`, _optional_): Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning. - Default: `false` - Examples: false - **`guidance_scale`** (`float`, _optional_): Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. Default value: `1` - Default: `1` - Range: `1` to `10` - Examples: 1 - **`shift`** (`float`, _optional_): Shift value for the video. Must be between 1.0 and 10.0. Default value: `5` - Default: `5` - Range: `1` to `10` - Examples: 5 - **`interpolator_model`** (`InterpolatorModelEnum`, _optional_): The model to use for frame interpolation. If None, no interpolation is applied. Default value: `"film"` - Default: `"film"` - Options: `"none"`, `"film"`, `"rife"` - Examples: "film" - **`num_interpolated_frames`** (`integer`, _optional_): Number of frames to interpolate between each pair of generated frames. Must be between 0 and 4. - Default: `0` - Range: `0` to `4` - Examples: 0 - **`adjust_fps_for_interpolation`** (`boolean`, _optional_): If true, the number of frames per second will be multiplied by the number of interpolated frames plus one. For example, if the generated frames per second is 16 and the number of interpolated frames is 1, the final frames per second will be 32. If false, the passed frames per second will be used as-is. Default value: `true` - Default: `true` - Examples: true - **`video_quality`** (`VideoQualityEnum`, _optional_): The quality of the output video. Higher quality means better visual quality but larger file size. Default value: `"high"` - Default: `"high"` - Options: `"low"`, `"medium"`, `"high"`, `"maximum"` - Examples: "high" - **`video_write_mode`** (`VideoWriteModeEnum`, _optional_): The write mode of the output video. Faster write mode means faster results but larger file size, balanced write mode is a good compromise between speed and quality, and small write mode is the slowest but produces the smallest file size. Default value: `"balanced"` - Default: `"balanced"` - Options: `"fast"`, `"balanced"`, `"small"` - Examples: "balanced" **Required Parameters Example**: ```json { "prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" } ``` **Full Example**: ```json { "prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k", "num_frames": 81, "frames_per_second": 24, "resolution": "720p", "aspect_ratio": "16:9", "num_inference_steps": 40, "enable_safety_checker": true, "enable_output_safety_checker": false, "enable_prompt_expansion": false, "guidance_scale": 1, "shift": 5, "interpolator_model": "film", "num_interpolated_frames": 0, "adjust_fps_for_interpolation": true, "video_quality": "high", "video_write_mode": "balanced" } ``` ### Output Schema The API returns the following output format: - **`video`** (`File`, _required_): The generated video file. - Examples: {"url":"https://storage.googleapis.com/falserverless/model_tests/wan/v2.2-small-output.mp4"} - **`prompt`** (`string`, _optional_): The text prompt used for video generation. Default value: `""` - Default: `""` - Examples: "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" - **`seed`** (`integer`, _required_): The seed used for generation. **Example Response**: ```json { "video": { "url": "https://storage.googleapis.com/falserverless/model_tests/wan/v2.2-small-output.mp4" }, "prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/wan/v2.2-5b/text-to-video/distill \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" }' ``` ### 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/wan/v2.2-5b/text-to-video/distill", arguments={ "prompt": "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" }, 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/wan/v2.2-5b/text-to-video/distill", { input: { prompt: "A medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k" }, 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/wan/v2.2-5b/text-to-video/distill) - [API Documentation](https://fal.ai/models/fal-ai/wan/v2.2-5b/text-to-video/distill/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/wan/v2.2-5b/text-to-video/distill) ### 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)