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How to Generate and Edit Images from Claude Code with NanoBanana MCP

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When you are already working in a terminal with Claude Code, jumping out to a browser just to create, edit, or combine images can break the flow. The NanoBanana MCP integration gives Claude Code a small, practical bridge to image generation and image editing, so you can describe the visual operation in plain language and keep the work inside the same developer session. What you can do The documented NanoBanana MCP setup exposes two tools inside Claude Code: nanobanana_generate_image for text-to-image generation. nanobanana_edit_image for image editing, including multi-image input. The useful part is not just that it can make images. The guide describes NanoBanana as an image model that understands image content well enough to work with relationships between inputs. For example, you can provide two images and ask it to place an object from one image into the scene of another, adjusting the angle and lighting so the result looks natural. That makes it a good fit for build...
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How to Build a Text-to-Video Workflow with the Seedance API

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Turning a prompt or a reference image into a short video is useful, but it becomes much more useful when you can wire it into a real application: a campaign tool, an internal creative review flow, a product demo generator, or an automated content pipeline. This guide walks through the practical shape of that workflow using the Seedance video generation API on Ace Data Cloud. What you can do The Seedance API exposes a single video generation endpoint: POST https://api.acedata.cloud/seedance/videos From the public documentation, the endpoint supports several useful modes: Text to video : pass a prompt as content[].type = "text" with content[].text . Image to video : pass an image_url item in content , then describe the motion with a text prompt. First and last frame control : provide image items with role as first_frame and last_frame . Character reference with Seedance 2.0 : use role = "reference_image" with a Seedance 2.0 model to preser...
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How to Generate Images with the OpenAI Images API on Ace Data Cloud

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When you add image generation to a product, the hard part is rarely the prompt alone. You also need a predictable API shape, a way to choose models, a response format your backend can consume, and enough control over output size and format to fit the UI you are building. This guide walks through the POST /openai/images/generations endpoint on Ace Data Cloud and shows how to call it as a builder: start with a plain text prompt, choose gpt-image-2 , request a practical size, and return an image URL you can display in an app or store in your own pipeline. What you can do The OpenAI Images Generations API is a unified image generation endpoint compatible with the OpenAI Images API. According to the public API documentation, the same interface supports DALL·E 2/3, the GPT Image family including gpt-image-1 , gpt-image-1.5 , and gpt-image-2 , plus the Nano Banana family including nano-banana , nano-banana-2 , and nano-banana-pro . For a practical product workflow, this means you can keep yo...
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How to Run Codex CLI Through Ace Data Cloud in Your Terminal

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If you like terminal-first development, the useful question is not whether an AI coding agent can write code. It is whether you can wire it into the same shell, project folders, and review habits you already use every day. Codex CLI is a local programming agent that runs from your terminal. It can read code, modify files, run commands, explain errors, and help with everyday development tasks. The practical part is that Codex CLI supports custom model providers, so you can point it at Ace Data Cloud's OpenAI Responses compatible proxy and keep using the native codex command. What you can do With the terminal setup described here, you can keep Codex CLI as your local coding interface while routing model requests through https://api.acedata.cloud/v1 . That gives you a workflow where the CLI reads configuration from your machine, loads an API token from an environment variable, and sends Responses API traffic to Ace Data Cloud. Install Codex CLI with npm or Homebrew. ...
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How to Use Claude Code in VS Code with Ace Data Cloud

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When an AI coding agent can inspect a repository, propose edits, and keep the review loop inside the editor, it starts to feel like a practical development tool rather than a disconnected chat window. This guide walks through a VS Code setup for Claude Code using Ace Data Cloud as the API base, then shows how to use the extension in a controlled, reviewable workflow. What you can do The Claude Code extension for VS Code provides a native editor interface with inline diff views, @ -mentions, plan reviews, slash commands, conversation history, and permission modes. That combination is useful when you want the agent to work with real project context while still letting you inspect every file change. Ask for an architecture pass across a repository. Reference a file, directory, selected range, or terminal output. Request a bug fix, refactor, or unit tests. Review proposed edits in a diff before accepting them. Run separate conversations in new tabs or windows for parallel tasks. How i...
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How to Build a Practical Flux Image Generation Workflow with Ace Data Cloud

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Image generation is easy to demo, but harder to wire into a real product: you need predictable request fields, a way to edit existing images, and a callback path so long-running jobs do not block your app server. This guide walks through a small but production-shaped workflow using the Flux Images Generation API on Ace Data Cloud. The focus is generating an image from a prompt, editing an existing image, handling asynchronous callbacks, and reading errors in a way that is useful for debugging. What you can do The Flux Images endpoint is designed around a single API path: POST https://api.acedata.cloud/flux/images The request is controlled mainly by an action field. Use action: generate when you want to create images from a prompt. Use action: edit when you want to modify an existing image by passing an image_url . Generate one or more images with prompt , model , count , and optionally size . Edit an existing image with action , prompt , model , and image_url . Use callback_u...
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How to Search Google from Claude Code with Ace Data Cloud SERP MCP

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When you are debugging from a terminal, the slowest step is often not writing code — it is leaving the terminal to search for the one error message, option name, or official-doc paragraph you need. This guide shows how to connect Ace Data Cloud's Google Search MCP server to Claude Code so your coding assistant can search from the command line while staying inside the same working context. What you can do The document describes a single focused capability: add the serp MCP server to Claude Code, then use natural language inside a Claude Code session to search Google without switching to a browser. The available tool is serp_google_search , described as Google search across web, images, news, videos, and related result types, with support for country, language, and time-range options. That makes it useful for builder workflows where the search query is part of the development loop: Looking up unfamiliar production errors from an SSH session. Comparing current technic...
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