Định dạng chính thức
Tạo một hình ảnh Runway
Sử dụng POST /runwayml/v1/text_to_image để bắt đầu một tác vụ Runway tạo hình ảnh từ Prompt văn bản, với hỗ trợ 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 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"
}Sử dụng endpoint này để tạo một tác vụ tạo hình ảnh Runway.
Ghi chú sử dụng
- Gửi header
X-Runway-Versionbắt buộc, ví dụ2024-11-06 - Sử dụng
model: gen4_image - Route này yêu cầu ít nhất một mục
referenceImages— yêu cầu chỉ có văn bản sẽ trả vềreference_images_empty
Luồng tác vụ
1
Gửi yêu cầu tạo
Gửi
promptText, ratio, model và ít nhất một đối tượng referenceImages.2
Lưu id được trả về
Giữ lại
id được trả về, vì route này là bất đồng bộ.3
Thăm dò tác vụ
Sử dụng Lấy một tác vụ Runway. Nếu một lần thăm dò ngay lập tức trả về
task_not_exist, hãy đợi vài giây rồi thử lại.Ủy quyền
Bearer token authentication. Use your CometAPI key.
Tiêu đề
Runway version header, for example 2024-11-06.
Nội dung
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
Phản hồi
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"
}