Capabilities · Last updated August 5, 2026
Image Generation
for AI agents
Generate a new image from a prompt or revise an existing asset without rebuilding the integration for each model. AnyCap exposes both jobs through the CLI, so Claude Code, Cursor, Codex, and other agents can move from a brief to a saved image without handing the task off to another app.
A polished first draft, a controlled edit, and a batch of variants call for different models.
Start with the decision that will save the next revision.
AnyCap keeps model choice and revision steps visible inside the image workflow.
Which model should you start with?
Start with Seedream 5 for a polished first draft. Pick Nano Banana Pro for targeted changes to an existing image, or Nano Banana 2 when you need many quick variants and can refine the winner later.
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.
Checked against the live catalog · Catalog verified August 5, 2026
Eight image models, checked from the CLI.
We ran the catalog command with AnyCap CLI 0.6.0 and found eight active models. All eight advertise text-to-image and image-to-image. This is a catalog check, not a claim that we generated a sample with every model.
What we found
8 active models
Operations
generate
Verified modes
text-to-image, image-to-image
CLI version
0.6.0
Models grouped under image generation
Start with the strongest general recommendation, then move down the list when the job favors editing, speed, language coverage, or lower-cost iteration. Check the live schema before sending a production request.
GPT Image 2
01text-to-image, image-to-image
Nano Banana Pro
02text-to-image, image-to-image
Nano Banana 2
03text-to-image, image-to-image
Seedream 5
04text-to-image, image-to-image
FLUX.1 Kontext Max
05text-to-image, image-to-image
Qwen Image
06text-to-image, image-to-image
Nano Banana 2 Lite
07text-to-image, image-to-image
Seedream 4.5
08text-to-image, image-to-image
Why AnyCap maintains this catalog
Models change. The agent workflow should not need rebuilding every time they do.
AnyCap keeps model discovery, supported modes, authentication, execution, and output delivery behind one agent-facing interface. The model still does the generation or analysis; AnyCap carries the operational work around it so an agent can choose a valid option today and switch when the catalog changes tomorrow.
anycap image modelsHow 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
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.
First-pass quality
Seedream 5
Best when the workflow starts from a prompt and the first image needs to look closer to final.
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.