生成 Bria 矢量图形

POST

bria

text-to-vector

cURL

curl https://api.cometapi.com/bria/text-to-vector \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
      "prompt": "a book",
      "num_results": 2,
      "sync": false
    }'

import os
import requests

response = requests.post(
    "https://api.cometapi.com/bria/text-to-vector",
    headers={"Authorization": "Bearer " + os.environ["COMETAPI_KEY"]},
    json={
            "prompt": "a book",
            "num_results": 2,
            "sync": False
    },
)

print(response.json())  # the route responds synchronously with result[].urls

const response = await fetch("https://api.cometapi.com/bria/text-to-vector", {
    method: "POST",
    headers: {
        Authorization: `Bearer ${process.env.COMETAPI_KEY}`,
        "Content-Type": "application/json",
    },
    body: JSON.stringify({
            "prompt": "a book",
            "num_results": 2,
            "sync": false
        }),
});

console.log(await response.json()); // the route responds synchronously with result[].urls

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.cometapi.com/bria/text-to-vector",
  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([
    'prompt' => 'a book'
  ]),
  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;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.cometapi.com/bria/text-to-vector"

	payload := strings.NewReader("{\n  \"prompt\": \"a book\"\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(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.cometapi.com/bria/text-to-vector")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"a book\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cometapi.com/bria/text-to-vector")

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  \"prompt\": \"a book\"\n}"

response = http.request(request)
puts response.read_body

{}

概述

从文本 Prompt 生成高质量、可编辑的矢量图形素材。非常适合使用 Bria 的专有文生图基础模型创建可缩放的图标、徽标和插画。

此接口等同于 https://engine.prod.bria-api.com/v1/text-to-vector/base/3.2详情请参阅 Bria 官方文档。

何时使用

当最终素材需要保持可编辑或可缩放时，请使用此端点，例如图标、简单插画、徽标和版式图形。当你需要照片级真实细节或复杂纹理时，则应改用栅格图像生成。

首次请求

先使用一个简短的 Prompt，描述对象、风格和预期用途。第一次请求尽量保持简单，在确认矢量输出可用后，再添加品牌、颜色或构图约束。

读取响应

响应会通过 API playground 返回矢量输出字段。如果你的工作流需要长期存储或后续编辑，请及时保存返回的素材。

授权

Authorization

string

header

必填

Bearer token authentication. Use your CometAPI key.

请求头

Content-Type

string

请求体

application/json

prompt

string

默认值:A flat vector illustration of a sailboat at sunset

必填

The prompt you would like to use to generate images. Bria currently supports prompts in English only.

guidance_method_2_scale

integer

默认值:1

必填

The impact of the guidance.

Default 1

num_results

integer

The aspect ratio of the image. When a ControlNet is being used, the aspect ratio is defined by the guidance image and this parameter is ignored. Default 4

sync

boolean

Determines the response mode. When true, responses are synchronous. With false, responses are asynchronous, immediately providing URLs for images that are generated in the background. Use polling for the URLs to retrieve images once ready. Default false

aspect_ratio

string

The aspect ratio of the image.

Default "1:1"

Enum "1:1" "2:3" "3:2" "3:4" "4:3" "4:5" "5:4" "9:16" "16:9"

seed

integer

You can choose whether you want your generated result to be random or predictable. You can recreate the same result in the future by using the seed value of a result from the response with the prompt, model type and model version. You can exclude this parameter if you are not interested in recreating your results. This parameter is optional.

negative_prompt

string

Specify here elements that you didn't ask in the prompt, but are being generated, and you would like to exclude. This parameter is optional. Bria currently supports prompts in English only.

steps_num

integer

The number of iterations the model goes through to refine the generated image. This parameter is optional. Default 30

text_guidance_scale

integer

Determines how closely the generated image should adhere to the input text description. This parameter is optional. Default 5

prompt_content_moderation

boolean

When enabled (default: true), the input prompt is scanned for NSFW or ethically restricted terms before image generation. If the prompt violates Bria's ethical guidelines, the request will be rejected with a 408 error. Default true

content_moderation

boolean

When enabled, applies content moderation to both input visuals and generated outputs.

For input images:

Processing stops at the first image that fails moderation
Returns a 422 error with details about which parameter failed

For synchronous requests (sync=true):

If all generated images fail moderation, returns a 422 error
If some images pass and others fail, returns a 200 response with successful generations and "blocked" objects for failed ones

For asynchronous requests (sync=false):

Failed images are replaced with zero-byte files at their placeholder URLs
Successful images are stored at their original placeholder URLs

Default false

ip_signal

boolean

Flags prompts with potential IP content. If detected, a warning will be included in the response.

Default false

guidance_method_1

string

Which guidance type you would like to include in the generation. Up to 2 guidance methods can be combined during a single inference. This parameter is optional. Enum "controlnet_canny" "controlnet_depth" "controlnet_recoloring" "controlnet_color_grid"

guidance_method_1_scale

integer

The impact of the guidance.

Default 1

guidance_method_1_image_file

string

The image that should be used as guidance, in base64 format, with the method defined in guidance_method_1. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. If more then one guidance method is used, all guidance images must be of the same aspect ratio, and this will be the aspect ratio of the generated results. If guidance_method_1 is selected, an image must be provided.

guidance_method_2

string

guidance_method_2_image_file

string

The image that should be used as guidance, in base64 format, with the method defined in guidance_method_2. Accepted formats are jpeg, jpg, png, webp. Maximum file size 12MB. If more then one guidance method is used, all guidance images must be of the same aspect ratio, and this will be the aspect ratio of the generated results. If guidance_method_1 is selected, an image must be provided.

image_prompt_mode

string

regular: Uses the image’s content, style elements, and color palette to guide generation.
style_only: Uses the image’s high-level style elements and color palette to influence the generated output. The support for image prompt is currently available only when model_version="2.3".

Default "regular"

Enum "regular" "style_only"

image_prompt_file

string

The image file to be used as guidance, in base64 format. Accepted formats are jpeg, jpg, png, webp. The support for image prompt is currently available only when model_version="2.3". Maximum file size 12MB. This image can be of any aspect ratio, even when it's not alligned with the one defined in the parameter 'aspect_ratio' or by visuals provided to the ControlNets.

image_prompt_urls

string[]

A list of URLs of images that should be used as guidance. The images can be of different aspect ratios. Accepted formats are jpeg, jpg, png, webp. The URLs should point to accessible, publicly available images. The support for image prompt is currently available only when model_version="2.3".

url

image_prompt_scale

integer

The impact of the provided image on the generated results. A value between 0.0 (no impact) and 1.0 (full impact). Default 1

响应

200 - application/json

Success

The response is of type object.

生成 Bria 图像

使用 Bria 编辑图像

cURL

curl https://api.cometapi.com/bria/text-to-vector \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
      "prompt": "a book",
      "num_results": 2,
      "sync": false
    }'

import os
import requests

response = requests.post(
    "https://api.cometapi.com/bria/text-to-vector",
    headers={"Authorization": "Bearer " + os.environ["COMETAPI_KEY"]},
    json={
            "prompt": "a book",
            "num_results": 2,
            "sync": False
    },
)

print(response.json())  # the route responds synchronously with result[].urls

const response = await fetch("https://api.cometapi.com/bria/text-to-vector", {
    method: "POST",
    headers: {
        Authorization: `Bearer ${process.env.COMETAPI_KEY}`,
        "Content-Type": "application/json",
    },
    body: JSON.stringify({
            "prompt": "a book",
            "num_results": 2,
            "sync": false
        }),
});

console.log(await response.json()); // the route responds synchronously with result[].urls

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.cometapi.com/bria/text-to-vector",
  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([
    'prompt' => 'a book'
  ]),
  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;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.cometapi.com/bria/text-to-vector"

	payload := strings.NewReader("{\n  \"prompt\": \"a book\"\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(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.cometapi.com/bria/text-to-vector")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"a book\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.cometapi.com/bria/text-to-vector")

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  \"prompt\": \"a book\"\n}"

response = http.request(request)
puts response.read_body

{}

内容审核

API 密钥

概述

何时使用

首次请求

读取响应

授权

请求头

请求体

响应

​概述

​何时使用

​首次请求

​读取响应

授权

请求头

请求体

响应

概述

何时使用

首次请求

读取响应