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How to Build a Reliable Image Editing Pipeline with the OpenAI Images Edits API

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When image edits move from a one-off design task into a product workflow, the hard part is not writing a prompt — it is preserving structure, accepting real user assets, and returning a usable image without turning your backend into a file-conversion service. What you can do The OpenAI Images Edits API on Ace Data Cloud lets you send one or more input images plus an instruction, then receive modified images back. The same endpoint supports the GPT Image series, including gpt-image-1 and gpt-image-2 , and the Nano Banana series: nano-banana , nano-banana-2-lite , nano-banana-2 , and nano-banana-pro . That makes it useful for practical builder workflows such as: turning an existing infographic into a dark-mode version while keeping layout intact; changing a product scene while preserving object placement; combining multiple reference images into a single composed output; running image edits from a server using image URLs or base64 data instead of manual uploads. H...
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How to Build an Image Editing Pipeline with GPT-Image-2

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Image editing becomes much more useful when it fits into a developer workflow: take an existing asset, describe the change, preserve the parts that matter, and receive a new image that your app can store or publish. What you can do The OpenAI Images Edits API on Ace Data Cloud lets you send one or more reference images plus an instruction prompt, then receive edited image output. The same endpoint supports the GPT Image series and the Nano Banana family, but this guide focuses on gpt-image-2 because it is especially practical for server-side pipelines. According to the integration guide, gpt-image-2 is designed for edits where structure should stay stable: changing colors, backgrounds, or visual style without damaging the original composition. It can also preserve text more accurately in assets such as infographics, posters, and menus. Edit an image directly from a public URL using JSON. Pass base64 image data when a local image should not be uploaded elsewhere first. ...
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How to Use Aider CLI with an OpenAI-Compatible API

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If you already use Aider to make code changes from the terminal, the practical question is often simple: how do you point it at the model endpoint your team actually uses without changing the rest of your workflow? This guide walks through configuring Aider CLI with Ace Data Cloud through an OpenAI-compatible API. The goal is intentionally narrow: set the base URL, pass an API token, choose a model through Aider's openai/ prefix, and verify that the CLI can make a minimal request before you use it on a real repository. What you can do Aider connects to OpenAI-compatible APIs through LiteLLM's openai/ model prefix. In this setup, Ace Data Cloud provides the API base URL, and Aider remains the command-line coding assistant you run in your project directory. Use Aider CLI with an OpenAI-compatible endpoint. Set OPENAI_API_BASE to https://api.acedata.cloud/v1 . Set OPENAI_API_KEY from your local ACEDATACLOUD_API_KEY . Run Aider with --model openai/MODEL_ID...
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X402 и API Token: практичная схема расчётов для AI-сервисов

Платёжная логика в AI-приложении часто становится отдельной инженерной задачей: нужно выбрать модель, учесть расход токенов, безопасно хранить секреты и не смешивать бизнес-код с механизмом расчёта. Ace Data Cloud предлагает единый API-контур для моделей GPT, Claude, Gemini, Midjourney, Suno и других сервисов. В этой статье разберём два практических пути интеграции: обычный API Token с балансом и расчёт на уровне вызова через X402. Два режима, одна прикладная логика Для долгоживущего backend-сервиса обычно удобен API Token. Его создают для приложения в консоли приложений , размещают в менеджере секретов и передают в заголовке Authorization . Расход учитывается по активным сервисам и балансу. Такой путь хорошо подходит для API, очередей задач, cron-процессов и CI. X402 полезен, когда расчёт должен сопровождать конкретный запрос. Сервер сначала отвечает 402 Payment Required и публикует допустимые условия в поле accepts . Клиент подписывает платёжное разрешение, добавляет заголовок P...
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Getting Started with AceKit: A Practical Guide to Giving Coding Agents API Skills

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Coding agents are useful until they need to step outside the repository: generate a README cover, make a short demo video, create background music, search the web, or call a model through a unified API. AceKit is a small installer that wires Ace Data Cloud skills into supported coding agents so those tasks can be requested in plain language instead of hand-built one API at a time. What you can do AceKit installs a skill toolkit for agents such as Claude Code, Codex CLI, Cursor, Gemini, and OpenCode. After installation, the agent can follow the installed SKILL.md instructions to authenticate, call the relevant capability, and handle asynchronous polling when needed. The documented skill list includes: Image skills such as midjourney-image , flux-image , seedream-image , and nano-banana-image . Video skills such as sora-video , veo-video , kling-video , luma-video , hailuo-video , seedance-video , and wan-video . Audio and music skills such as suno-music , producer-music ...
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Getting Started with Claude Code Through Ace Data Cloud

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When a coding agent is useful, you want it available in the place where you already work: a terminal, an editor, or the pull request that needs attention. This guide walks through the small, practical configuration surface for using Claude Code through Ace Data Cloud, based on the public Claude Code integration document. What you can do Claude Code is an agentic coding tool that can be used in several developer workflows. The source guide describes four supported paths: Terminal (CLI): run claude from a terminal for the core experience. VS Code: use the native extension with inline Diff support, @ -mentions, and scheduled reviews. CC Switch: use a desktop GUI when you prefer one-click vendor switching instead of editing configuration files directly. GitHub Actions: automate code review and issue or pull-request handling with @claude . The important pattern is that these are not four unrelated integrations. They share the same base configuration: point Claude Cod...
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Getting Started with Claude Code Through Ace Data Cloud

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When a coding agent is useful, you want it available in the place where you already work: a terminal, an editor, or the pull request that needs attention. This guide walks through the small, practical configuration surface for using Claude Code through Ace Data Cloud, based on the public Claude Code integration document. What you can do Claude Code is an agentic coding tool that can be used in several developer workflows. The source guide describes four supported paths: Terminal (CLI): run claude from a terminal for the core experience. VS Code: use the native extension with inline Diff support, @ -mentions, and scheduled reviews. CC Switch: use a desktop GUI when you prefer one-click vendor switching instead of editing configuration files directly. GitHub Actions: automate code review and issue or pull-request handling with @claude . The important pattern is that these are not four unrelated integrations. They share the same base configuration: point Claude Cod...
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