Can Claude generate images? Not on its own. Here's how to add it to Claude Code.

This workflow runs in the Claude Code terminal environment. Installing the skill here does not configure the Claude chat website or another host. The recorded lamp example below uses the CLI directly; it is not a test of automatic skill selection.

Your Claude subscription and AnyCap generation usage are separate. The example cost 2 credits for the original and 2 for the edit; check current pricing and your AnyCap balance before a new request. Installing instructions alone does not provide model access.

Checked November 2, 2026 against Anthropic's Can Claude produce images?, models overview and upload documentation.

The yellow shade and top cap are visible in the revision, while the stem, base, and overall composition remain similar. Inspection also found a small purple mark where the stem meets the base. This matters: asking to change only the shade did not leave every other pixel untouched. Both outputs are retained here as resized JPEG previews. The original PNGs were inspected directly and compared with AnyCap image analysis; this is one CLI workflow trial, not a benchmark of Claude Code itself.

1. 1.

   Define the destination

   Specify the asset filename, aspect ratio, subject, and where it will appear. For exact interface labels or a simple diagram, SVG or HTML may be the more controllable choice.

2. 2.

   Review before editing

   Open the first file and inspect the subject, composition, unwanted text, and dimensions. Reference that saved image for the edit; a second text-only prompt does not preserve the first result.

3. 3.

   Check before integrating

   Compare both files. A request to change only one detail can still alter other areas. Keep the original and add the chosen asset to the project only after review.

1. —

   Authentication or model access fails

   Run anycap status in the same terminal where Claude Code executes commands. Resolve login, balance or model access there before trying another generation; credentials in a different host session do not establish access here.

2. —

   The reference image is rejected

   Confirm the saved file exists and inspect the image-to-image schema. Pass it as --param images=./claude-code-launch-visual.png so the CLI can upload it. The Seedream 5 schema checked on October 12 accepts up to nine references; check the selected model instead of reusing another model's limits.

3. —

   An output was returned but the local save failed

   Keep the returned output URL and request or task ID. Retry that download to a writable path before creating another image. If the submission result is unknown, investigate the recorded request instead of automatically resubmitting a billed call.

anycap image models seedream-5 schema --operation generate --mode image-to-image

anycap download "<returned-output-url>" -o claude-code-launch-visual.png

1. —

   Agent skill

   Best when you want Claude Code to choose the appropriate AnyCap command from a natural-language request and keep the result inside the current task.

2. —

   Direct CLI

   Best when you want explicit control over the model, mode, input image, parameters, and output filename. Claude Code can run the same command for you.

GPT Image 2

OpenAI's image family for general generation and prompt-driven image edits.

Seedream 5

The model used in the examples below: text-to-image and image-to-image, with 2k or 4k output in the checked schema.

Nano Banana Pro

Supports generation and reference-image editing. Inspect its own schema before reusing parameters from another model.

Nano Banana 2

Another generation and editing option. Compare results and actual cost on your own brief before choosing for repeated runs.

Generation uses your AnyCap account and is separate from a Claude subscription. Check AnyCap pricing for the chosen model and allow for additional revisions. The checked Seedream 5 image-editing schema accepts up to nine references; other models can have different limits. Local references are uploaded for processing, and the command needs permission to write the output file. An authentication error must be resolved before generation can succeed.

Install the CLI and sign in once. If you are already configured, continue with the access and cost checks.

curl -fsSL https://anycap.ai/install.sh | sh
anycap login
anycap --version
anycap status

Add the skill, then reopen your agent session if needed.

npx -y skills add anycap-ai/anycap -a claude-code -y

Run anycap status, inspect the current model schema, and check pricing and your balance. Generation is billed; model access and rates can change.

Paste this prompt into your configured agent. Inspect the delivered file and actual charge.

Use AnyCap to generate a small olive-green desk lamp on an off-white background, soft studio light, no text. Check my login, image catalog and Seedream 5 text-to-image schema. Save the result as ./desk-lamp.png. Explain the applicable pricing and ask for approval before the billed task. After success, report the saved file and actual charge; do not count a submitted or failed request as a delivered image.

Success means the output file exists and can be opened. Compare it with your brief or reference, including dimensions, subject details and unwanted text. If generation returned an output URL but saving failed, retry downloading that output before requesting another image.

Read the related workflow. For setup help, see installation and login.