falImage to videoComing soon

fal-ai/wan/v2.2-a14b/image-to-video/lora

Name: fal-ai/wan/v2.2-a14b/image-to-video/lora
Brand: fal

fal-ai/wan/v2.2-a14b/image-to-video/lora is an image to video tool from fal that runs in the background and returns video. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: video
Longest queue wait: 3600s
Run deadline: 3600s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`image_url` required	URL or file	—	URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.
`prompt` required	text	—	The text prompt to guide video generation.
`num_frames`	number (whole) 17 to 161	81	Number of frames to generate. Must be between 17 to 161 (inclusive).
`frames_per_second`	number (whole) 4 to 60	16	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.
`negative_prompt`	text		Negative prompt for video generation.
`seed`	number (whole)	—	Random seed for reproducibility. If None, a random seed is chosen.
`resolution`	one of 480p, 580p, 720p	720p	Resolution of the generated video (480p, 580p, or 720p).
`aspect_ratio`	one of auto, 16:9, 9:16, 1:1	auto	Aspect ratio of the generated video. If 'auto', the aspect ratio will be determined automatically based on the input image.
`num_inference_steps`	number (whole) 2 to 40	27	Number of inference steps for sampling. Higher values give better quality but take longer.
`enable_prompt_expansion`	true or false	false	Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning.
`acceleration`	one of none, regular	regular	Acceleration level to use. The more acceleration, the faster the generation, but with lower quality. The recommended value is 'regular'.
`guidance_scale`	number 1 to 10	3.5	Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality.
`guidance_scale_2`	number 1 to 10	4	Guidance scale for the second stage of the model. This is used to control the adherence to the prompt in the second stage of the model.
`shift`	number 1 to 10	5	Shift value for the video. Must be between 1.0 and 10.0.
`interpolator_model`	one of none, film, rife	film	The model to use for frame interpolation. If None, no interpolation is applied.
`num_interpolated_frames`	number (whole) 0 to 4	1	Number of frames to interpolate between each pair of generated frames. Must be between 0 and 4.
`adjust_fps_for_interpolation`	true or false	true	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.
`video_quality`	one of low, medium, high, maximum	high	The quality of the output video. Higher quality means better visual quality but larger file size.
`video_write_mode`	one of fast, balanced, small	balanced	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.
`loras`	JSON	[]	LoRA weights to be used in the inference.
`reverse_video`	true or false	false	If true, the video will be reversed.
`end_image_url`	URL or file	—	URL of the end image.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "fal",
    "model": "fal-ai/wan/v2.2-a14b/image-to-video/lora",
    "input": {
      "image_url": "https://storage.googleapis.com/falserverless/gallery/car_720p.png",
      "prompt": "Cars racing in slow motion"
    }
  }'