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Wan 2.2 VACE Fun A14B

Edits a video you give it

Liveby Alibaba

VACE Fun for Wan 2.2 A14B from Alibaba-PAI

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Use Wan 2.2 VACE Fun A14B to make this clip look like it was shot at night.
Change the background of this video to a beach.

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For developersSummary, tool id, API call and input schema

Video API by Alibaba, callable through Superpowers. It costs $0.540 per 5s clip, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.wan-22-vace-fun-a14b-depth", or over MCP with run_tool.

Tool id
Price per call
$0.540 / 5s clip

Call it

Also over MCP as run_tool
curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SP_KEY' \
  -d '{"tool":"fal.wan-22-vace-fun-a14b-depth","input":{"prompt":"","video_url":""},"idempotency_key":"example-request-1"}'

Input

31 fields · 2 required
{
  "type": "object",
  "required": [
    "prompt",
    "video_url"
  ],
  "properties": {
    "transparency_mode": {
      "type": "string",
      "description": "The transparency mode to apply to the first and last frames. This controls how the transparent areas of the first and last frames are filled.",
      "default": "content_aware",
      "enum": [
        "content_aware",
        "white",
        "black"
      ]
    },
    "interpolator_model": {
      "type": "string",
      "description": "The model to use for frame interpolation. Options are 'rife' or 'film'.",
      "default": "film",
      "enum": [
        "rife",
        "film"
      ]
    },
    "video_quality": {
      "type": "string",
      "description": "The quality of the generated video.",
      "default": "high",
      "enum": [
        "low",
        "medium",
        "high",
        "maximum"
      ]
    },
    "sync_mode": {
      "type": "boolean",
      "description": "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
    },
    "enable_auto_downsample": {
      "type": "boolean",
      "description": "If true, the model will automatically temporally downsample the video to an appropriate frame length for the model, then will interpolate it back to the original frame length.",
      "default": false
    },
    "guidance_scale": {
      "type": "number",
      "description": "Guidance scale for classifier-free guidance. Higher values encourage the model to generate images closely related to the text prompt.",
      "default": 5
    },
    "enable_safety_checker": {
      "type": "boolean",
      "description": "If set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked.",
      "default": false
    },
    "enable_prompt_expansion": {
      "type": "boolean",
      "description": "Whether to enable prompt expansion.",
      "default": false
    },
    "ref_image_urls": {
      "type": "array",
      "description": "URLs to source reference image. If provided, the model will use this image as reference."
    },
    "num_interpolated_frames": {
      "type": "integer",
      "description": "Number of frames to interpolate between the original frames. A value of 0 means no interpolation.",
      "default": 0
    },
    "preprocess": {
      "type": "boolean",
      "description": "Whether to preprocess the input video.",
      "default": false
    },
    "match_input_num_frames": {
      "type": "boolean",
      "description": "If true, the number of frames in the generated video will match the number of frames in the input video. If false, the number of frames will be determined by the num_frames parameter.",
      "default": false
    },
    "return_frames_zip": {
      "type": "boolean",
      "description": "If true, also return a ZIP file containing all generated frames.",
      "default": false
    },
    "prompt": {
      "type": "string",
      "description": "The text prompt to guide video generation."
    },
    "frames_per_second": {
      "type": "integer",
      "description": "Frames per second of the generated video. Must be between 5 to 30. Ignored if match_input_frames_per_second is true.",
      "default": 16
    },
    "resolution": {
      "type": "string",
      "description": "Resolution of the generated video.",
      "default": "auto",
      "enum": [
        "auto",
        "240p",
        "360p",
        "480p",
        "580p",
        "720p"
      ]
    },
    "video_url": {
      "type": "string",
      "description": "URL to the source video file. Required for depth task."
    },
    "last_frame_url": {
      "type": "string",
      "description": "URL to the last frame of the video. If provided, the model will use this frame as a reference."
    },
    "num_inference_steps": {
      "type": "integer",
      "description": "Number of inference steps for sampling. Higher values give better quality but take longer.",
      "default": 30
    },
    "negative_prompt": {
      "type": "string",
      "description": "Negative prompt for video generation.",
      "default": "letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards"
    },
    "acceleration": {
      "type": "string",
      "description": "Acceleration to use for inference. Options are 'none' or 'regular'. Accelerated inference will very slightly affect output, but will be significantly faster.",
      "default": "regular",
      "enum": [
        "none",
        "low",
        "regular"
      ]
    },
    "num_frames": {
      "type": "integer",
      "description": "Number of frames to generate. Must be between 81 to 241 (inclusive).",
      "default": 81
    },
    "video_write_mode": {
      "type": "string",
      "description": "The write mode of the generated video.",
      "default": "balanced",
      "enum": [
        "fast",
        "balanced",
        "small"
      ]
    },
    "first_frame_url": {
      "type": "string",
      "description": "URL to the first frame of the video. If provided, the model will use this frame as a reference."
    },
    "seed": {
      "type": "integer",
      "description": "Random seed for reproducibility. If None, a random seed is chosen."
    },
    "auto_downsample_min_fps": {
      "type": "number",
      "description": "The minimum frames per second to downsample the video to. This is used to help determine the auto downsample factor to try and find the lowest detail-preserving downsample factor. The default value is appropriate for most videos, if you are using a video with very fast motion, you may need to increa",
      "default": 15
    },
    "sampler": {
      "type": "string",
      "description": "Sampler to use for video generation.",
      "default": "unipc",
      "enum": [
        "unipc",
        "dpm++",
        "euler"
      ]
    },
    "aspect_ratio": {
      "type": "string",
      "description": "Aspect ratio of the generated video.",
      "default": "auto",
      "enum": [
        "auto",
        "16:9",
        "1:1",
        "9:16"
      ]
    },
    "temporal_downsample_factor": {
      "type": "integer",
      "description": "Temporal downsample factor for the video. This is an integer value that determines how many frames to skip in the video. A value of 0 means no downsampling. For each downsample factor, one upsample factor will automatically be applied.",
      "default": 0
    },
    "shift": {
      "type": "number",
      "description": "Shift parameter for video generation.",
      "default": 5
    },
    "match_input_frames_per_second": {
      "type": "boolean",
      "description": "If true, the frames per second of the generated video will match the input video. If false, the frames per second will be determined by the frames_per_second parameter.",
      "default": false
    }
  }
}