Capabilities · Last updated April 5, 2026
Image Generation
for AI agents
AnyCap image generation gives agents, creators, and product teams one CLI for text-to-image and image-to-image workflows. You can create net-new visuals, revise existing assets, and run image editing loops through a consistent interface instead of wiring a separate image generation API for every model or provider. That makes it a practical image generation layer for Claude Code, Cursor, Codex, and anyone using agents to ship visual work faster.
Agents do not need another disconnected tool.
They need the capability inside the workflow.
AnyCap turns capability access into agent action.
The short summary
Use Seedream 5 when the agent needs a stronger first-pass image, Nano Banana Pro when the workflow starts from an existing asset and needs targeted revisions, and Nano Banana 2 when speed and throughput matter more than maximizing polish on the first result.
01
Agents can create first-pass visuals, revise source images, and keep asset delivery in one AnyCap workflow.
02
Text-to-image and image-to-image modes stay behind one AnyCap command surface.
03
Model choice stays explicit, from first-pass generation to revision-heavy image editing.
How image generation fits an AnyCap workflow
01 / Brief
The agent turns a product, creator, or design request into a prompt and chooses whether the job starts from text or an existing image.
02 / Generate
AnyCap runs the selected image model with the right mode, model ID, prompt, and output file.
03 / Iterate
The result can move into review, editing, Drive delivery, Page publishing, or a follow-up image-to-video workflow.
CLI usage
Text-to-image
anycap image generate --prompt "a minimalist product hero image on a cream background" --model seedream-5 -o hero.pngImage-to-image editing
anycap image generate --prompt "turn this into a warm editorial product shot" --model nano-banana-pro --mode image-to-image --param images=./source.png -o variation.pngDiscover models
anycap image modelsWhen agents and creators need image generation
Product mockups
Generate polished visuals for launch pages, changelogs, and internal demos.
Creative iteration
Run text-to-image and image editing loops without leaving the agent workflow.
Creators and marketers
Create illustrations, thumbnails, social posts, and marketing assets through one repeatable command surface.
Everyday edits
Turn briefs, screenshots, and references into first-pass visual directions, background swaps, and simple photo edits.
How to choose among image models
First-pass quality
Seedream 5
Best when the workflow starts from a prompt and the first image needs to look closer to final.
OpenAI image stack
GPT Image 2
Best when the agent workflow prefers OpenAI's image model family for general generation and prompt-driven edits.
Revision loops
Nano Banana Pro
Best when the agent already has an image and needs prompt-based edits or more controlled visual revisions.
Speed and scale
Nano Banana 2
Best when the agent needs many variants, quicker drafts, or a more scalable generation loop.
Model
Seedream 5
Learn when agents should choose Seedream 5 for polished text-to-image output.
Model
Nano Banana Pro
Explore a stronger fit for image editing and iterative visual refinement.
FAQ
What does AnyCap image generation let agents do?
It gives agents one command surface for text-to-image and image-to-image workflows. That means the same CLI can handle first-pass generation, creative iteration, and image editing without separate provider integrations.
Which image models are available through AnyCap today?
The current AnyCap image generation catalog includes Seedream 5, Seedream 4.5, Nano Banana Pro, Nano Banana 2, GPT Image 2, FLUX.1 Kontext Max, and Qwen Image. Each listed image model supports text-to-image and image-to-image modes through the same AnyCap image generation API and CLI interface.
Why does this page mention image editing as well as image generation?
Market language often splits text-to-image, image editing, and image generation. AnyCap groups those workflows under one image generation capability because agents frequently need both creation and revision in the same loop.
Is this page about an image generation API or a CLI?
Both. Teams often search for an image generation API, a text-to-image API, or an image editing API, while implementation inside agent workflows often happens through the AnyCap CLI.
Is this only for developers?
No. The same capability supports creators, marketers, operators, and everyday users who need product visuals, social content, thumbnails, or quick photo edits. The agent workflow is just one of the ways to reach it.
Let your agent create the visual.
Use AnyCap when image generation, editing, model selection, and asset delivery should stay inside the same agent workflow.