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How to Clone a Voice for Suno Music with a Simple API Flow

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If you are building a music workflow, the hard part is often not generating a track once; it is making the result feel connected to a specific voice while keeping the integration simple enough to automate. The Suno voice cloning flow in Ace Data Cloud is a compact two-step API pattern: first create a private voice character from a clean audio sample, then pass the returned persona_id into a music generation request. This guide walks through the practical shape of that flow, the inputs that matter, and a few implementation details that are easy to miss when you move from a quick test to a real builder workflow. What you can do The documented flow lets you create a custom voice character from a publicly accessible voice recording, then use that voice in Suno music generation. The voice source is provided through audio_url , not through an existing Suno audio_id . That makes the workflow useful when your source recording lives in your own storage, CDN, or upload pipeline. Create ...

How to Add NanoBanana Image Editing to Claude Code with MCP

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If your coding agent can edit files but still needs you to leave the terminal whenever a README image, product mockup, or visual asset changes, MCP is a clean way to close that gap. What you can do The NanoBanana MCP guide for Claude Code describes a focused workflow: connect Claude Code to the managed NanoBanana MCP server, then ask for image generation, image editing, or multi-image composition from the same terminal session where you are already working on code. This is useful when the visual task is part of a developer workflow rather than a standalone design session. For example, you might be updating a landing page, writing release notes, polishing a 404 page, or preparing product screenshots. Instead of switching tools, you can let Claude Code keep project context and call the image tool when needed. Generate a new image from a prompt with nanobanana_generate_image . Edit an existing image with nanobanana_edit_image . Pass multiple image URLs to compose or transfe...

A Practical Guide to Building Image Generation and Editing Workflows with Seedream

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Image generation APIs are easy to demo and surprisingly easy to misuse in production: the hard part is choosing the right request shape, handling long-running jobs, and keeping your output pipeline predictable. What you can do The Seedream Images API on Ace Data Cloud exposes one main image endpoint, POST https://api.acedata.cloud/seedream/images . With the same endpoint you can generate an image from text, edit one or more input images, request URL or Base64 output, stream partial events for supported models, or run longer jobs asynchronously and poll the task later. The main fields are model , prompt , image , size , response_format , watermark , output_format , stream , callback_url , and async . For basic text-to-image generation, the documentation also shows action with the value generate . How it works A basic call sends JSON to /seedream/images with accept: application/json , a bearer token, and content-type: application/json . The response includes success , task_id , t...

How to Add Google Search to Claude Code with MCP

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Debugging from a terminal is fast until the answer lives somewhere outside the terminal. When Claude Code is already reading logs, editing files, and running commands, switching to a browser just to search an unfamiliar error message breaks the flow. This guide walks through a practical setup: connecting Claude Code to Ace Data Cloud’s Google Search MCP server so the agent can search from the same command-line session where you are working. What you can do Once the serp MCP server is connected, Claude Code can call search-oriented tools directly from a natural-language task. The documented tool set includes: serp_google_search for Google web search, with support for country, language, and time-range selection. serp_google_images for image search. serp_google_news for news search. serp_google_videos for video search. serp_google_maps and serp_google_places for maps and local business search. The immediate value is not that search exists. The value is that s...

MCP и REST API в одной разработке: практический контур для видео-задач

Инструментальные вызовы меняют привычный цикл разработки: ассистент в терминале или редакторе не только предлагает код, но и выполняет ограниченные внешние операции. Практическая задача инженера — сделать этот слой наблюдаемым, безопасным и повторяемым. В этой статье разберём, как организовать работу с модельными возможностями через MCP и REST API Ace Data Cloud, не превращая конфигурацию проекта в набор одноразовых ручных действий. Где проходит граница между MCP и HTTP API MCP удобен, когда человек формулирует задачу в диалоге с помощником: «создай короткий ролик по этому сценарию», «найди свежие источники», «подготовь обложку к pull request». Клиент MCP получает описание инструментов, а затем вызывает их по мере необходимости. Это особенно полезно в Codex CLI и других средах, где важен естественный рабочий контекст: файлы проекта, тесты, комментарии к изменениям и команды сборки. REST API лучше подходит для детерминированных участков пайплайна: фоновых очередей, серверных обработ...

How to Build an Image Editing Workflow with GPT Image 2

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When you are building a product feature that edits images, the hard part is usually not the prompt itself. It is the workflow around it: accepting a source image, preserving the parts that should not change, validating size constraints, handling long-running requests, and making failures debuggable. This guide walks through a practical image-editing flow using Ace Data Cloud's OpenAI Images Edits endpoint with gpt-image-2 . The goal is simple: take an existing image, describe the change you want, and return an edited image while keeping the implementation predictable enough for a real app. What you can do The Images Edits API is designed for instruction-based edits on existing images. According to the documentation, the core endpoint is: POST https://api.acedata.cloud/openai/images/edits In a JSON request, image can be a single image URL or an array of image URLs. If you are uploading local files, the API also supports multipart/form-data with one or more image field...

A Practical Guide to Using Ace Data Cloud MCP Servers in Codex CLI

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If you use Codex CLI as a terminal coding assistant, MCP is the part that lets it reach beyond local code edits and call purpose-built tools for search, images, music, video, and utility workflows. What you can do The Ace Data Cloud MCP documentation describes a set of managed remote MCP servers that can be connected to Codex CLI through its TOML configuration file. The practical value is simple: keep Codex in your shell, but let it delegate specialized tasks to external tools when the conversation calls for them. The documented remote servers cover several common builder workflows: Search: Serp for Google web, image, and news search. Images: Flux and Seedream for image generation and editing, plus NanoBanana for Gemini-driven image work, virtual fitting, and product scene changes. Video: Luma , Veo , and Seedance for video workflows such as start/end frame control, native audio, 1080p super resolution, action generation, and dubbing. Music: Suno for text-to...