{"success":true,"url":"https://ai.imagegpt.online/imagegpt-pro-image/1778916017438-7cufgk3z8t.png","taskId":"imagegpt_zimage-cg9gurh38lp1782561677762"}
curl --location --request POST 'https://zylalabs.com/api/10639/z-image+turbo+-+ai+text+to+image+api/20186/text+to+image' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"prompt": "Photorealistic portrait of the same person (keep his real face unchanged). A man with medium curly brown hair, light skin, and soft features sits relaxed, forearms on a light blue table, holding a small white puppy with a red collar. He wears a cozy color-block knitted sweater (beige, tan, light blue, black) with ribbed neck and cuffs, a silver watch, and a turquoise-beaded bracelet. Soft diffused lighting, smooth steel-blue background, slightly elevated front angle warm, intimate, digital photo",
"aspect_ratio": "1:1",
"outputType": "url",
"outputFormat": "png"
}'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 Z-Image Turbo - AI Text to Image API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
Z-Image Turbo is an AI image generation API that accepts text prompts and returns generated images in multiple output formats. The API supports text-to-image generation across a range of visual styles including photorealistic photography, digital illustration, concept art, product mockups, marketing visuals, social media graphics, avatars, logos, and abstract art.
The API returns images as a hosted URL, Base64-encoded data, or raw binary stream, depending on the specified output type. Output format can be configured as JPG or PNG, and aspect ratio can be set to fit common layout requirements including square, landscape, portrait, and standard display formats.
Integration is available via RESTful endpoints with JSON request and response structure. The API accepts a text prompt along with optional parameters for aspect ratio, output type, and output format, returning a task ID alongside the generated image data.
Suitable for use in web applications, mobile apps, SaaS platforms, eCommerce stores, content pipelines, and automation workflows. Common use cases include advertising assets, branding materials, social media content, product visualization, and custom graphic generation.
The GET Text to Image endpoint returns a high-quality AI-generated image based on the provided text prompt. The POST Image to Image endpoint returns a transformed image URL along with success status and attempt count.
For the POST Image to Image endpoint, key fields include "success" (boolean), "attempt" (integer), and "url" (string). The GET Text to Image endpoint primarily returns the generated image.
The GET Text to Image endpoint accepts a text prompt as a parameter. The POST Image to Image endpoint requires an image file as input. Both endpoints may support additional parameters for customization, such as style preferences.
The response data is structured in JSON format. For the POST Image to Image endpoint, it includes fields for success status, attempt count, and the URL of the generated image, making it easy to parse and use in applications.
Typical use cases include creating digital art, designing avatars, generating content for social media, and producing unique images for marketing or personal projects. The versatility allows for a wide range of creative applications.
Users can directly use the image URL returned by the POST Image to Image endpoint in their applications or websites. For the GET Text to Image endpoint, the generated image can be downloaded or displayed as needed.
Data accuracy is maintained through the advanced algorithms of the Gemini AI engine, which continuously learns and improves from user interactions and feedback, ensuring high-quality image generation.
If the response indicates failure (e.g., "success": false), users should check their input parameters for errors. For empty results, ensure that the prompt or image provided meets the API's requirements for processing.