# Wan Vision Enhancer > Wan Vision Enhancer for magnify/enhance video with high fidelity and creativity. ## Overview - **Endpoint**: `https://fal.run/fal-ai/wan-vision-enhancer` - **Model ID**: `fal-ai/wan-vision-enhancer` - **Category**: video-to-video - **Kind**: inference **Tags**: stylized, transform ## Pricing - **Price**: $0.06 per seconds 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: - **`video_url`** (`string`, _required_): The URL of the video to enhance with Wan Video. Maximum 200MB file size. Videos longer than 500 frames will have only the first 500 frames processed (~8-21 seconds depending on fps). - Examples: "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4" - **`target_resolution`** (`OutputResolutionEnum`, _optional_): Target output resolution for the enhanced video. 720p (native, fast) or 1080p (upscaled, slower). Processing is always done at 720p, then upscaled if 1080p selected. Default value: `"720p"` - Default: `"720p"` - Options: `"720p"`, `"1080p"` - Examples: "720p" - **`creativity`** (`integer`, _optional_): Controls how much the model enhances/changes the video. 0 = Minimal change (preserves original), 1 = Subtle enhancement (default), 2 = Medium enhancement, 3 = Strong enhancement, 4 = Maximum enhancement. Default value: `1` - Default: `1` - Range: `0` to `4` - Examples: 1 - **`prompt`** (`string`, _optional_): Optional prompt to prepend to the VLM-generated description. Leave empty to use only the auto-generated description from the video. - **`negative_prompt`** (`string`, _optional_): Negative prompt to avoid unwanted features. Default value: `"oversaturated, overexposed, static, blurry details, subtitles, stylized, artwork, painting, still frame, overall gray, worst quality, low quality, JPEG artifacts, ugly, mutated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, static motion, cluttered background, three legs, crowded background, walking backwards"` - Default: `"oversaturated, overexposed, static, blurry details, subtitles, stylized, artwork, painting, still frame, overall gray, worst quality, low quality, JPEG artifacts, ugly, mutated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, static motion, cluttered background, three legs, crowded background, walking backwards"` - **`seed`** (`integer`, _optional_): Random seed for reproducibility. If not provided, a random seed will be used. **Required Parameters Example**: ```json { "video_url": "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4" } ``` **Full Example**: ```json { "video_url": "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4", "target_resolution": "720p", "creativity": 1, "negative_prompt": "oversaturated, overexposed, static, blurry details, subtitles, stylized, artwork, painting, still frame, overall gray, worst quality, low quality, JPEG artifacts, ugly, mutated, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, static motion, cluttered background, three legs, crowded background, walking backwards" } ``` ### Output Schema The API returns the following output format: - **`video`** (`File`, _required_): The enhanced video file. - Examples: {"url":"https://v3b.fal.media/files/b/0a85cc9a/TBr1WXFaFb2zJ2htEWDdm_combined_2baa6f34a84a4d0caf23896580810ee1.mp4"} - **`seed`** (`integer`, _required_): The seed used for generation. - Examples: 42 - **`timings`** (`Timings`, _required_): The timings of the different steps in the workflow. - Examples: {"inference":125.4,"video_processing":15.2} **Example Response**: ```json { "video": { "url": "https://v3b.fal.media/files/b/0a85cc9a/TBr1WXFaFb2zJ2htEWDdm_combined_2baa6f34a84a4d0caf23896580810ee1.mp4" }, "seed": 42, "timings": { "inference": 125.4, "video_processing": 15.2 } } ``` ## Usage Examples ### cURL ```bash curl --request POST \ --url https://fal.run/fal-ai/wan-vision-enhancer \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "video_url": "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4" }' ``` ### 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-vision-enhancer", arguments={ "video_url": "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4" }, 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-vision-enhancer", { input: { video_url: "https://v3b.fal.media/files/b/0a85cc7d/zBFvZyJ7iX-7AZoQ1NaMN_wan_animate_output.mp4" }, 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-vision-enhancer) - [API Documentation](https://fal.ai/models/fal-ai/wan-vision-enhancer/api) - [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/wan-vision-enhancer) ### 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)