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...
curl --location --request GET 'https://zylalabs.com/api/10757/ai+image+creator+api/20383/image?prompt=red samurai&width=240&height=240' --header 'Authorization: Bearer YOUR_API_KEY'
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 AI图像生成器 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 🎉)
AI图像创造者API是一个强大的工具,利用人工智能可以根据文本描述创建独特、个性化的高质量图像。其操作简单灵活:用户发送描述所需图像的提示以及宽度和高度参数,API会根据提供的指示返回精确生成的视觉表现。
该API旨在为希望自动化视觉内容创作而不依赖人工图形资源的用户设计。得益于其先进的生成模型架构,它能够在几秒钟内制作插图、逼真的渲染、概念艺术、社交媒体图形或视觉原型。
它的主要特点之一是输出尺寸的精确定义,这使得图像可以以特定尺寸集成到网页项目、移动应用程序或营销材料中。此外,该模型经过优化,可以准确解读提示指令,生成与请求的上下文相符的、连贯且美观的结果。
总之,这个API提供了一种有效、灵活且强大的方式,通过人工智能生成定制图像,非常适合那些寻求在视觉内容中实现无限创造力和精确度的人。
图像端点返回一个包含请求成功状态、尝试次数、生成图像的 URL 和关于图像链接过期的备注的 JSON 对象
响应数据中的关键字段包括 "success"(布尔值)、"attempt"(整数)、"url"(字符串)和 "note"(字符串)这些字段提供有关图像生成过程和生成图像的重要信息
图像端点接受文本提示、宽度和高度的参数。用户可以通过指定这些参数自定义请求以生成符合他们需求的图像
响应数据以JSON格式组织,包含键值对。这个结构允许轻松访问成功状态、尝试次数、图像URL和附加备注,便于简单的应用集成
典型的使用案例包括为文章生成插图 创建社交媒体图形 为项目制作概念艺术 以及为营销材料开发视觉原型 所有这些都根据特定尺寸量身定制
用户可以通过访问“url”字段来利用返回的数据,以便在他们的应用程序或网站上显示生成的图像。“note”字段则告知他们图像链接的过期时间,以确保及时使用
数据准确性通过先进的生成模型架构得以保持,该架构经过优化以准确解释提示。对模型的持续训练和更新有助于提高生成图像的质量和相关性
用户可以期待一致的响应,其中包含一个表示请求结果的“成功”字段,一个用于重试的递增“尝试”编号,以及一个有效的“网址”用于生成的图像,确保对各种提示的可靠输出