How to Use OpenClaw Image Generation

OpenClaw image generation is a shared media tool, not a one-provider shortcut. The docs describe image_generate as a tool that can create new images and edit reference images across providers such as OpenAI, Google, fal, MiniMax, ComfyUI, OpenRouter, LiteLLM, Vydra, and xAI. That matters because the safest workflow is to ask for the creative result while letting OpenClaw normalize provider-specific size, aspect ratio, background, and fallback behavior.

30-second answer

Configure at least one image-generation provider or agents.defaults.imageGenerationModel, then ask the agent for the image. The tool accepts a prompt, optional model override, one image or multiple images for edit mode, size, aspectRatio, resolution, quality, outputFormat, background, count, timeoutMs, and filename. Use action list when you need to inspect available providers and models at runtime.

Where it fits

Use this for blog art, product mockups, social creatives, diagrams, thumbnails, app-store experiments, and reference-image edits. Keep the prompt specific about subject, composition, style, text constraints, and output use. If brand fidelity matters, pass a reference image where the provider supports it. If you need transparent assets, choose a provider/model path that explicitly supports background control.

Docs-grounded facts

• image_generate supports generate and list actions.
• Use image for one reference image or images for multiple references.
• Provider selection checks per-call model, primary, fallbacks, then auth-backed auto-detection.
• OpenAI transparent-background output uses gpt-image-1.5 with PNG or WebP.
• Tool results report applied settings and normalization.
• Private/internal OpenAI-compatible image endpoints are blocked unless explicitly allowed.

Set it up deliberately

The provider-selection order is documented: per-call model override first, then imageGenerationModel.primary, then configured fallbacks, then auth-backed auto-detection. Unsupported output hints are dropped only when the provider declares they are unsupported, and the result reports applied settings plus normalization details. That visibility is useful when a request for 4K, a specific ratio, or transparent output gets mapped to the closest supported option.

Use it safely

Do not assume every provider supports every control. Google supports size, aspectRatio, and resolution. OpenAI supports up to 4K size controls and transparent-background PNG or WebP through the documented route. Some providers support edits with limits on the number of input images; others generate only. For OpenAI-compatible LAN endpoints, the docs require explicitly opting into private-network access because internal endpoints are blocked by default.

Common mistakes

The common mistake is writing a beautiful prompt and forgetting the production requirement. A hero image, a transparent icon, and a square social post need different geometry. Another mistake is requesting transparent background from a route that cannot honor it. When the output matters, inspect action list first, set the model deliberately, and check the tool result details instead of assuming the prompt won.

Verification checklist

Open the returned media, confirm dimensions or transparency, and check whether the requested hints were applied or ignored. If the image is for a public page, verify text artifacts manually; image models still mangle small lettering. Save the prompt and model in the asset notes so you can reproduce or iterate the style later.

Playbook angle

The OpenClaw Playbook puts image generation inside marketing operations: prompt, generate, review, deploy, measure. The image tool is most valuable when it is connected to a real content lane, not when it produces pretty one-off files nobody ships.

Operator note

How to Use OpenClaw Image Generation works best when it is written into a small runbook instead of left as tribal knowledge. Record the intended owner, the exact config surface, the channel where results should appear, the allowed inputs, the expected output, and the rollback step. OpenClaw gives agents broad tools, but the durable value comes from making each tool boring, repeatable, and auditable. I would rather have one well-scoped image generation workflow that survives a restart than five clever demos nobody can safely run next week. If the runbook cannot explain when not to use it, keep refining before automation becomes default.