GET
/v1/schemas/fal/video/fal-ai/wan-vace-14b/reframe
Accept:
| field | recorded source |
|---|---|
| schema | Source linked above.Source traceae1e476d4af73ae61058a510919a262c15599fb1fd00ca0d39a5038f70feccdb{
"fetchedAt": 1786338105,
"extractorVersion": "1",
"verifiedAt": null
} |
Request body
31 properties · 1 required · 0 $defs| property | type | description | constraints |
|---|---|---|---|
| video_url* | string | URL to the source video file. This video will be used as a reference for the reframe task. | |
| transparency_mode | enum | 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. | content_aware | white | black · default: "content_aware" |
| aspect_ratio | enum | Aspect ratio of the generated video. | auto | 16:9 | 1:1 | 9:16 · default: "auto" |
| resolution | enum | Resolution of the generated video. | auto | 240p | 360p | 480p | 580p | 720p · default: "auto" |
| video_write_mode | enum | The write mode of the generated video. | fast | balanced | small · default: "balanced" |
| num_inference_steps | integer | Number of inference steps for sampling. Higher values give better quality but take longer. | 2 ≤ n ≤ 50 · default: 30 |
| match_input_num_frames | boolean | 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: true |
| frames_per_second | integer | Frames per second of the generated video. Must be between 5 to 30. Ignored if match_input_frames_per_second is true. | 5 ≤ n ≤ 30 · nullable |
| acceleration | enum | Acceleration to use for inference. Options are 'none' or 'regular'. Accelerated inference will very slightly affect output, but will be significantly faster. | none | low | regular · nullable |
| prompt | string | The text prompt to guide video generation. Optional for reframing. | default: "" |
| trim_borders | boolean | Whether to trim borders from the video. | default: true |
| zoom_factor | number | Zoom factor for the video. When this value is greater than 0, the video will be zoomed in by this factor (in relation to the canvas size,) cutting off the edges of the video. A value of 0 means no zoom. | 0 ≤ n ≤ 0.9 · default: 0 |
| auto_downsample_min_fps | number | 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 … | 1 ≤ n ≤ 60 · default: 15 |
| match_input_frames_per_second | boolean | 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: true |
| num_frames | integer | Number of frames to generate. Must be between 81 to 241 (inclusive). | 17 ≤ n ≤ 241 · default: 81 |
| temporal_downsample_factor | integer | 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. | 0 ≤ n ≤ 5 · default: 0 |
| sync_mode | boolean | 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 |
| negative_prompt | string | Negative prompt for video generation. | default: "letterboxing, borders, black ba… |
| last_frame_url | string | URL to the last frame of the video. If provided, the model will use this frame as a reference. | nullable |
| guidance_scale | number | Guidance scale for classifier-free guidance. Higher values encourage the model to generate images closely related to the text prompt. | 1 ≤ n ≤ 10 · default: 5 |
| enable_safety_checker | boolean | If set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked. | default: false |
| seed | integer | Random seed for reproducibility. If None, a random seed is chosen. | nullable |
| return_frames_zip | boolean | If true, also return a ZIP file containing all generated frames. | default: false |
| interpolator_model | enum | The model to use for frame interpolation. Options are 'rife' or 'film'. | rife | film · default: "film" |
| enable_auto_downsample | boolean | 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 |
| video_quality | enum | The quality of the generated video. | low | medium | high | maximum · default: "high" |
| shift | number | Shift parameter for video generation. | 1 ≤ n ≤ 15 · default: 5 |
| num_interpolated_frames | integer | Number of frames to interpolate between the original frames. A value of 0 means no interpolation. | 0 ≤ n ≤ 5 · default: 0 |
| first_frame_url | string | URL to the first frame of the video. If provided, the model will use this frame as a reference. | nullable |
| enable_prompt_expansion | boolean | Whether to enable prompt expansion. | default: false |
| sampler | enum | Sampler to use for video generation. | unipc | dpm++ | euler · default: "unipc" |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"fal","endpointId":"fal-ai/wan-vace-14b/reframe","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}