Topaz Text Refine
IMAGEFeaturedtopaz-text-refine-upscale-image
Text Refine is the tier of Topaz Labs’ Gigapixel precision upscaler that keeps lettering and geometric shapes sharp while enlarging up to 4x, instead of blurring them into the surrounding image. Best for screenshots, UI mockups, logos and any artwork carrying readable text.
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-text-refine-upscale-image/inferences \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "upscale_factor": "2", "guidance_file_init_image": [ { "url": "<file_url>" } ]}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-text-refine-upscale-image/inferences"
payload = { "upscale_factor": "2", "guidance_file_init_image": [{ "url": "<file_url>" }]}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-text-refine-upscale-image/inferences';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{"upscale_factor":"2","guidance_file_init_image":[{"url":"<file_url>"}]}'};
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-text-refine-upscale-image/inferences"
payload := strings.NewReader("{\n \"upscale_factor\": \"2\",\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\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-text-refine-upscale-image/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([ 'upscale_factor' => '2', 'guidance_file_init_image' => [ [ 'url' => '<file_url>' ] ] ]), 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 \"upscale_factor\": \"2\",\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\n}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/topaz-text-refine-upscale-image/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-text-refine-upscale-image/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 \"upscale_factor\": \"2\",\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\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-text-refine-upscale-image/inferences");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n \"upscale_factor\": \"2\",\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\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”Organize this run under a named session. A new session is created if none matches.
Organize this run under a named session. A new session is created if none matches.
Header Parameters
Section titled “Header Parameters”Opaque key making a retry of this request return the first result. A 2xx response is replayed for 24 hours with Idempotent-Replayed: true. A 4xx releases the key. A 5xx, or a request still running, holds the key for 120 seconds, during which a retry gets 409; after that a retry executes again. The key covers the method, path, query, and byte-identical body it was first used with; reusing it for a different request is rejected with 422. Protection is best effort: if the key store is unavailable, or a record is lost early, a retry can execute again even after an earlier 409. See the Idempotency section of the API description.
Request Bodyrequired
Section titled “Request Bodyrequired”object
How many times larger the output is than the source.
The part of the image the model works on.
Advanced field.
Restore faces in a separate pass.
Advanced field.
How strongly faces are restored. Applies with face enhancement on.
Advanced field.
How much new facial detail is invented. Applies with face enhancement on.
Advanced field.
How strongly lettering and hard shapes are rebuilt.
Advanced field.
Removes noise and grain from the source.
Advanced field.
Removes blocking and ringing left by JPEG or video compression.
Advanced field.
How much the result is sharpened.
Advanced field.
The image to modify
A single guidance/reference file supplied to a reference_image_list field.
The slot’s guidance type is fixed by the field it’s attached to; the caller
supplies the file (its URL, or the id of a file it can read) and, where the model supports
per-file weighting, a weight.
object
The file’s URL, or the id of a file in this workspace or a public file.
Trim the transparent margin, and place the image on a canvas of a fixed size.
object
How the drawing goes onto a fixed canvas. The names follow the workflow Resize node’s.
The point of the drawing that lands on the same point of the canvas.
BASE is a game tile’s base: its anchor, the bottom centre of the cell it stands on, lands
at the bottom centre of the canvas, so tiles of one grid stand on the same point whatever rises above them.
Example
{ "upscale_factor": "2", "guidance_file_init_image": [ { "url": "<file_url>" } ]}Responses
Section titled “Responses”Successful Response
object
Unique identifier for this forge run.
Current status: IN_PROGRESS.
Estimated price in Creative Units.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Session ID the run was added to, if a session was specified.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
object
Resolved output width in pixels.
Resolved output height in pixels.
Number of outputs to generate.
Resolved number of diffusion steps.
Resolved guidance scale.
Resolved output length in seconds — video duration or audio clip length.
Resolved FPS.
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, or the access token lacks the scope the operation requires.
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."}The outcome of the request with this Idempotency-Key is not known yet: it is still running, or it failed without a stored response. Retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters, or an Idempotency-Key reused for a different request.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — retry after the number of seconds in Retry-After.
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."}