falVideo to videoComing soon
fal-ai/ltxv-13b-098-distilled/extend
fal-ai/ltxv-13b-098-distilled/extend is a video 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.
Priced by usagePricing
$0.026 per second. Measured from the input file. The final charge comes from usage.
Limits
- Runs
- In the background
- Returns
- video
- Longest queue wait
- 3600s
- Run deadline
- 1800s
- Largest inline input
- 1024 KB
- Largest input file
- 500 MB
- Largest output
- 4768 MB
- Outputs per run
- 16
Input
| Field | Kind | Default | Description |
|---|---|---|---|
prompt required | text | — | Text prompt to guide generation |
negative_prompt | text | worst quality, inconsistent motion, blurry, jittery, distorted | Negative prompt for generation |
loras | JSON | [] | LoRA weights to use for generation |
resolution | one of 480p, 720p | 720p | Resolution of the generated video. |
aspect_ratio | one of 9:16, 1:1, 16:9, auto | auto | The aspect ratio of the video. |
seed | number (whole) | — | Random seed for generation |
num_frames | number (whole) 9 to 1441 | 121 | The number of frames in the video. |
first_pass_num_inference_steps | number (whole) 2 to 12 | 8 | Number of inference steps during the first pass. |
second_pass_num_inference_steps | number (whole) 2 to 12 | 8 | Number of inference steps during the second pass. |
second_pass_skip_initial_steps | number (whole) 1 to 11 | 5 | The number of inference steps to skip in the initial steps of the second pass. By skipping some steps at the beginning, the second pass can focus on smaller details instead of larger changes. |
frame_rate | number (whole) 1 to 60 | 24 | The frame rate of the video. |
expand_prompt | true or false | false | Whether to expand the prompt using a language model. |
reverse_video | true or false | false | Whether to reverse the video. |
enable_detail_pass | true or false | false | Whether to use a detail pass. If True, the model will perform a second pass to refine the video and enhance details. This incurs a 2.0x cost multiplier on the base price. |
temporal_adain_factor | number 0 to 1 | 0.5 | The factor for adaptive instance normalization (AdaIN) applied to generated video chunks after the first. This can help deal with a gradual increase in saturation/contrast in the generated video by normalizing the color distribution across the video. A high value will ensure the color distribution is more consistent across the video, while a low value will allow for more variation in color distribution. |
tone_map_compression_ratio | number 0 to 1 | 0 | The compression ratio for tone mapping. This is used to compress the dynamic range of the video to improve visual quality. A value of 0.0 means no compression, while a value of 1.0 means maximum compression. |
constant_rate_factor | number (whole) 0 to 51 | 29 | The constant rate factor (CRF) to compress input media with. Compressed input media more closely matches the model's training data, which can improve motion quality. |
video required | JSON | — | Video to be extended. |
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/ltxv-13b-098-distilled/extend",
"input": {
"prompt": "Woman walking on a street in Tokyo",
"video": {}
}
}'