Resmî format
Bir Runway görseli oluşturun
Metin prompt’undan görseller üreten ve X-Runway-Version desteği sunan bir Runway görevini başlatmak için POST /runwayml/v1/text_to_image kullanın.
POST
/
runwayml
/
v1
/
text_to_image
cURL
curl https://api.cometapi.com/runwayml/v1/text_to_image \
-H "Authorization: Bearer $COMETAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
}'import os
import requests
response = requests.post(
"https://api.cometapi.com/runwayml/v1/text_to_image",
headers={"Authorization": "Bearer " + os.environ["COMETAPI_KEY"]},
json={
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
},
)
task = response.json()
print(task["id"]) # poll GET /runwayml/v1/tasks/{id} until the output array appearsconst response = await fetch("https://api.cometapi.com/runwayml/v1/text_to_image", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.COMETAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
}),
});
const task = await response.json();
console.log(task.id); // poll GET /runwayml/v1/tasks/{id} until the output array appears<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.cometapi.com/runwayml/v1/text_to_image",
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([
'promptText' => 'A paper boat floating on calm water at sunrise.',
'ratio' => '1280:720',
'seed' => 1,
'model' => 'gen4_image',
'referenceImages' => [
[
'uri' => 'https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg',
'tag' => 'style_ref'
]
],
'contentModeration' => [
'publicFigureThreshold' => 'auto'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-Runway-Version: <x-runway-version>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.cometapi.com/runwayml/v1/text_to_image"
payload := strings.NewReader("{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Runway-Version", "<x-runway-version>")
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(string(body))
}HttpResponse<String> response = Unirest.post("https://api.cometapi.com/runwayml/v1/text_to_image")
.header("X-Runway-Version", "<x-runway-version>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.cometapi.com/runwayml/v1/text_to_image")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Runway-Version"] = '<x-runway-version>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}"
response = http.request(request)
puts response.read_body{
"id": "31f9c5b2-ea5c-421c-8044-75a6bb53211d"
}Bu endpoint’i, bir Runway görsel oluşturma görevi başlatmak için kullanın.
Kullanım notları
- Gerekli
X-Runway-Versionheader’ını gönderin, örneğin2024-11-06 model: gen4_imagekullanın- Bu route, en az bir
referenceImagesöğesi gerektirir — yalnızca metin içeren bir istekreference_images_emptydöndürür
Görev akışı
1
Oluşturma isteğini gönderin
promptText, ratio, model ve en az bir referenceImages nesnesi gönderin.2
Dönen id'yi saklayın
Bu route eşzamansız olduğu için dönen
id değerini saklayın.3
Görevi sorgulayın
Bir Runway görevini alın kullanın. Anında yapılan bir sorgu
task_not_exist döndürürse birkaç saniye bekleyin ve yeniden deneyin.Yetkilendirmeler
Bearer token authentication. Use your CometAPI key.
Başlıklar
Runway version header, for example 2024-11-06.
Gövde
application/json
A non-empty string up to 1000 characters.
Aspect ratio of the output image, e.g. 1280:720.
Random seed for reproducible results.
The model variant to use.
An array of up to three images to be used as references. At least one item is required. referenceImages is required.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Yanıt
200 - application/json
Task accepted.
⌘I
cURL
curl https://api.cometapi.com/runwayml/v1/text_to_image \
-H "Authorization: Bearer $COMETAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
}'import os
import requests
response = requests.post(
"https://api.cometapi.com/runwayml/v1/text_to_image",
headers={"Authorization": "Bearer " + os.environ["COMETAPI_KEY"]},
json={
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
},
)
task = response.json()
print(task["id"]) # poll GET /runwayml/v1/tasks/{id} until the output array appearsconst response = await fetch("https://api.cometapi.com/runwayml/v1/text_to_image", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.COMETAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"promptText": "A paper boat floating on calm water at sunrise.",
"ratio": "1280:720",
"model": "gen4_image",
"referenceImages": [
{
"uri": "https://your-image-host/reference.jpg",
"tag": "ref"
}
]
}),
});
const task = await response.json();
console.log(task.id); // poll GET /runwayml/v1/tasks/{id} until the output array appears<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.cometapi.com/runwayml/v1/text_to_image",
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([
'promptText' => 'A paper boat floating on calm water at sunrise.',
'ratio' => '1280:720',
'seed' => 1,
'model' => 'gen4_image',
'referenceImages' => [
[
'uri' => 'https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg',
'tag' => 'style_ref'
]
],
'contentModeration' => [
'publicFigureThreshold' => 'auto'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json",
"X-Runway-Version: <x-runway-version>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.cometapi.com/runwayml/v1/text_to_image"
payload := strings.NewReader("{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("X-Runway-Version", "<x-runway-version>")
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(string(body))
}HttpResponse<String> response = Unirest.post("https://api.cometapi.com/runwayml/v1/text_to_image")
.header("X-Runway-Version", "<x-runway-version>")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.cometapi.com/runwayml/v1/text_to_image")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["X-Runway-Version"] = '<x-runway-version>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"promptText\": \"A paper boat floating on calm water at sunrise.\",\n \"ratio\": \"1280:720\",\n \"seed\": 1,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"https://cdn.britannica.com/70/234870-050-D4D024BB/Orange-colored-cat-yawns-displaying-teeth.jpg\",\n \"tag\": \"style_ref\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}"
response = http.request(request)
puts response.read_body{
"id": "31f9c5b2-ea5c-421c-8044-75a6bb53211d"
}