topaz/sdr-to-hdr/video
Sdr To Hdr Video by Topaz Labs - AI-powered video editing and transformation. Apply style transfer, motion control, lip-sync, and visual effects to existing videos with natural language instructions.
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runtopaz/sdr-to-hdr/videoInput Schema
2 parameters · 0 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
video | string | Optional | URL of the SDR video to convert to HDR |
output_format | string | Optional | Output container/codec: mp4 delivers 10-bit H265 HDR10; prores delivers 10-bit ProRes 422 HQ in a .mov, Topaz's recommended format for grading and mastering workflows (much larger files). · Options: mp4, prores · Default: "mp4" mp4prores |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "topaz/sdr-to-hdr/video",
"video": "https://v3.fal.media/files/kangaroo/y5-1YTGpun17eSeggZMzX_video-1733468228.mp4",
"output_format": "mp4",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Video
Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Sdr To Hdr Video by Topaz Labs - AI-powered video editing and transformation. Apply style transfer, motion control, lip-sync, and visual effects to existing videos with natural language instructions. Video is designed around the topaz/sdr-to-hdr/video workflow for video work in video production. Because topaz/sdr-to-hdr/video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. This capability boundary is specific to the endpoint named above.
Video exposes video, output_format as its documented request surface. video controls uRL of the SDR video to convert to HDR; output format controls output container/codec: mp4 delivers 10-bit H265 HDR10; prores delivers 10-bit ProRes 422 HQ in a .mov, Topaz's recommended format for grading and mastering workflows (much larger files); output format accepts mp4, prores. The mandatory portion is no mandatory fields declared by the schema. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing. For example, the route documentation includes “https://v3.fal.media/files/kangaroo/y5-1YTGpun17eSeggZMzX_video-1733468228.mp4”.
Highlights
- SDR-to-HDR conversion. Topaz Sdr To Hdr Video expands standard-dynamic-range footage into an HDR-oriented presentation with a broader brightness and color envelope.
- Highlight and shadow remapping. Tonal processing redistributes existing scene information so bright accents and darker regions make better use of HDR delivery.
- Sequence-level consistency. The conversion is applied across video rather than as isolated still adjustments, supporting steadier grading through the shot.
- Modern delivery workflow. It is intended for teams preparing legacy or SDR masters for compatible HDR review and distribution.
Pricing
| Billing option | Price |
|---|---|
| Billing formula | (usage.duration ?? 10) * ((((usage.width ?? 1920) * (usage.height ?? 1080)) > 2073600) ? 0.587 : 0.276) * ((usage.fps ?? 30) / 30) |
| Catalog base price | $2.760000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Video | Use it when the job specifically calls for video and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required inputs explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for topaz/sdr-to-hdr/video.
{
"output_format": "mp4"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | topaz/sdr-to-hdr/video |
| Execution mode | async |
| Task type | video |
video | string · optional |
output_format | string · optional · choices: mp4, prores |