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How to Generate and Edit Images with the Nano Banana Images API

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If your product needs generated visuals, image variations, or simple multi-image edits, the hard part is usually not the model call itself—it is designing a request shape your app can track, retry, and debug later. What you can do The Nano Banana Images API provides one endpoint for two common image workflows: text-to-image generation and prompt-guided image editing. Both use the same base URL, https://api.acedata.cloud , and the same endpoint, POST /nano-banana/images . The core switch is the action field: generate : create an image from a text prompt . edit : edit one or more existing images using image_urls plus a prompt . The API returns a success flag, a task_id , a trace_id , and a data array containing successful image results. Each result includes the echoed prompt and an image_url . How it works Every request is authenticated with an HTTP header: authorization: Bearer {token} . The recommended request headers are accept: application/json and content-type: applica...
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How to Build an OpenAI-Compatible Audio Transcription Workflow

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Audio transcription looks simple until you need it in a production workflow: large files, subtitles, timestamps, proper nouns, streaming output, and client timeouts all show up sooner than expected. This guide walks through a practical way to use Ace Data Cloud's OpenAI-compatible speech recognition endpoint so you can move from a local audio file to plain text, subtitles, or incremental transcription without changing much of an existing OpenAI-style integration. What you can do The transcription API accepts an audio file as multipart/form-data and returns text or subtitle-oriented output depending on the model and response_format you choose. The request URL is: POST https://api.acedata.cloud/v1/audio/transcriptions There is also an alias endpoint, POST /openai/audio/transcriptions . Requests use an Authorization: Bearer {token} header. The supported file formats are flac , mp3 , mp4 , mpeg , mpga , m4a , ogg , wav , and webm . A single file can be up to 25 MB , and a sin...
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How to Generate Short Videos with the Seedance API: A Practical Builder’s Guide

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This practical guide shows how builders can call the Seedance video generation API with structured JSON instead of relying on prompt text alone. What you can do The API endpoint is POST https://api.acedata.cloud/seedance/videos . Requests use model and content . Content items can be text , image_url , audio_url , or video_url . How it works Send accept: application/json , content-type: application/json , and an authorization bearer token. Useful body fields include resolution , ratio , duration , seed , camerafixed , watermark , and generate_audio . curl -X POST 'https://api.acedata.cloud/seedance/videos' -H 'authorization: Bearer YOUR_TOKEN' -H 'accept: application/json' -H 'content-type: application/json' -d '{"content":[{"type":"text","text":"A white ceramic coffee mug on a glossy marble countertop with soft morning window light. The camera slowly orbits 360 degrees around the mug, steam gently rising....
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MCP в Claude Code: как собрать воспроизводимый рабочий поток для ссылок и API

Инструментальный агент в терминале полезен не потому, что умеет отвечать на вопросы, а потому, что становится частью повторяемого процесса разработки. Документация, описание pull request, релизная заметка и внутренний отчёт часто требуют одних и тех же действий: найти актуальные сведения, подготовить ссылку, проверить ответ API и оставить понятный след в репозитории. MCP позволяет вынести такие действия из набора ручных переключений между окнами в управляемый поток внутри Claude Code. Хорошая отправная точка — не пытаться подключить всё сразу. Сначала выберите одну узкую операцию с очевидным результатом. Для работы с документацией это может быть создание короткой ссылки; для исследовательской задачи — поиск; для визуальных материалов — генерация изображения. После одного успешного вызова легче понять, где хранить настройку, как передавать секреты и какие границы нужны команде. Что именно добавляет MCP к терминальному циклу Claude Code остаётся средой для чтения исходников, изменен...
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A Practical Guide to Image Generation and Editing with the Nano Banana API

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If you are building a tool that needs to create images from prompts or modify existing assets, the hard part is usually not the model itself. It is designing a reliable request shape, tracking outputs, handling partial failures, and keeping enough metadata to debug what happened later. The Nano Banana Images API on Ace Data Cloud gives you one endpoint for both text-to-image generation and image editing: POST /nano-banana/images . This guide walks through the practical pieces a builder needs: request structure, edit workflows, callbacks, response handling, and error cases. What you can do The API supports two image workflows through the same endpoint: action: "generate" creates an image from a text prompt . action: "edit" edits one or more existing images passed through image_urls . The base URL is https://api.acedata.cloud , and the endpoint is POST /nano-banana/images . Requests use JSON, and authentication is sent with authorization: Bearer {token...
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How to Build a Practical Image Editing Workflow with GPT Image 2

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If you have ever tried to automate visual edits across product screenshots, campaign assets, or generated mockups, you know the hard part is not “make a new image.” The hard part is saying exactly what should change, what must stay untouched, and how to make the same workflow reliable enough to run from code. This guide walks through a practical image editing workflow using the Ace Data Cloud OpenAI Images Edits API. We will focus on what the documented endpoint actually supports: editing from an image URL, uploading local files, using masks for localized edits, choosing the right model variant, and handling long-running tasks without guessing. What you can do The editing endpoint is https://api.acedata.cloud/openai/images/edits . At a minimum, you send a model , an image , and a natural-language prompt . For JSON requests, image can be a single URL or an array of URLs. For local files, use multipart/form-data with one or more image file fields. That makes the API useful f...
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How to Build Image Generation and Editing Workflows with the Nano Banana Images API

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If your product needs both prompt-based image generation and practical image editing, the awkward part is often not the model call itself—it is designing a request shape that works for both fresh images and edits based on existing assets. What you can do The Nano Banana Images API exposes a single image endpoint for two related workflows: generating images from text and editing images from supplied image URLs. The base URL is https://api.acedata.cloud , and the endpoint is POST /nano-banana/images . Requests use JSON and authenticate with an authorization: Bearer {token} header. The key switch is action : generate : create an image from a text prompt . edit : transform one or more existing images using image_urls plus a prompt . That makes the API useful for builder workflows such as product mockups, image variations, campaign assets, visual QA tools, internal creative dashboards, or any app where users move between “make something” and “change this specific thing.” ...
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