ignore_audio defaults false. When true, source audio is ignored during generation, but it is still saved with the output when save_audio=true. save_audio defaults true.Source for Source audio handling (opens in a new tab)
Native guide and schema publish no numeric source-duration or file-size limit. General workflow examples do not establish an account-specific maximum.
Documentation discrepancy
Product overview uses images, default 1080p, fps=24, no_op and silent output for ignore_audio; it also suggests about two minutes at 720p subject to platform limits. Native API instead uses image, default 720p and target_fps=original, without a numeric duration maximum or no_op field. save_audio controls audio retention.Source for Documentation discrepancy (opens in a new tab)
Prices retain their published currencies and billing units below.
Published billing units · original currency · observed 15 Oct 2026
Category
Usage
Rate
Unit
Video generation
720p animation1
$0.03
output video second
Video generation
1080p animation2
$0.06
output video second
Rate conditions
Per output-video second. No separately published turbo discount, minimum or rounding rule established.
Per output-video second. Price follows the selected output budget rather than the input-video pixel count.
Pruna terms retain customer rights in input/output and permit processing to provide the service, plus operational telemetry. Upstream model terms may apply. A universal retention period and zero-training guarantee are not established.
Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUTProcess & retain
The system processes eligible input and retains reusable state.
02 / LATER REQUESTCheck available state
Reuse depends on matching input, session state and the cache policy.
03 / CACHE HITReuse & generate
Reusing state can reduce repeated work. Any charges follow the billing rules below.
Pruna API
p-video-animate
Not verified
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
How it works
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
Minimum reusable input
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
Lifetime & refresh
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
How to enable it
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
Usage fields
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
Billing rules
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
Limits & data boundaries
Not collected
No verified prompt-cache mechanism or cached-inference tariff. Asset uploads, conditioning and asynchronous predictions do not establish prompt caching.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 15 Oct 2026
What the measurements say
No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.
Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model
Why it is included
Pruna names this hosted video workflow and links the LTX license family. Exact upstream revision and any private post-training are not established. Included explicitly as a managed component; public LTX weights and Pruna optimization-library code are not counted as new private base models.
