官方格式
创建一张 Runway 图像
使用 POST /runwayml/v1/text_to_image 启动一个通过文本 Prompt 生成图像的 Runway 任务,并支持 X-Runway-Version。
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 appears
const 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"
}使用此端点创建一个 Runway 图像生成任务。
使用说明
- 发送必需的
X-Runway-Version请求头,例如2024-11-06 - 使用
model: gen4_image - 此路由至少需要一个
referenceImages项——仅文本请求会返回reference_images_empty
任务流程
1
提交生成请求
发送
promptText、ratio、model,以及至少一个 referenceImages 对象。2
保存返回的 id
保留返回的
id,因为此路由是异步的。3
轮询任务
使用 获取 Runway 任务。如果立即轮询返回
task_not_exist,请等待几秒后重试。授权
Bearer token authentication. Use your CometAPI key.
请求头
Runway version header, for example 2024-11-06.
请求体
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
响应
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 appears
const 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"
}