Topaz Starlight HQ
VIDEOFeaturedtopaz-starlight-hq-upscale-video
Starlight HQ is the maximum-quality tier of Topaz Labs’ diffusion video upscaler, targeting sources that are already high resolution and need the best possible reconstruction, at up to 4x in 1080p or 4K. Best when quality outweighs turnaround.
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "target_fps": 30}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences"
payload = { "target_fps": 30 }headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = 'https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{"target_fps":30}'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}package main
import ( "fmt" "strings" "net/http" "io")
func main() {
url := "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences"
payload := strings.NewReader("{\n \"target_fps\": 30\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>") req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close() body, _ := io.ReadAll(res.Body)
fmt.Println(res) fmt.Println(string(body))
}<?php
$curl = curl_init();
curl_setopt_array($curl, [ CURLOPT_URL => "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([ 'target_fps' => 30 ]), CURLOPT_HTTPHEADER => [ "Authorization: Bearer <token>", "Content-Type: application/json" ],]);
$response = curl_exec($curl);$err = curl_error($curl);
curl_close($curl);
if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}OkHttpClient client = new OkHttpClient();
MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, "{\n \"target_fps\": 30\n}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences") .post(body) .addHeader("Authorization", "Bearer <token>") .addHeader("Content-Type", "application/json") .build();
Response response = client.newCall(request).execute();require 'uri'require 'net/http'
url = URI("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences")
http = Net::HTTP.new(url.host, url.port)http.use_ssl = true
request = Net::HTTP::Post.new(url)request["Authorization"] = 'Bearer <token>'request["Content-Type"] = 'application/json'request.body = "{\n \"target_fps\": 30\n}"
response = http.request(request)puts response.read_bodyvar client = new RestClient("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-starlight-hq-upscale-video/inferences");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n \"target_fps\": 30\n}", ParameterType.RequestBody);var response = client.Execute(request);Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Id of the workspace that owns the resource.
Id of the workspace that owns the resource.
Query Parameters
Section titled “Query Parameters”Request Bodyrequired
Section titled “Request Bodyrequired”object
Frames generated in between the source’s own. Resolution is unchanged.
Example
{ "target_fps": 30}Responses
Section titled “Responses”Successful Response
object
Unique identifier for this forge run.
Current status: IN_PROGRESS.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
Example
{ "status": "in_progress"}Unauthenticated — missing or invalid Bearer token.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Forbidden — insufficient permissions.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Resource not found.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — too many concurrent requests.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Internal server error.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}