# AI Image Generation Source: [AI Image Generation]() Documentation index: [llms.txt]() Last updated: 2026-09-10 AI Image Generation creates product images, illustrations, backgrounds, storyboards, and other stills for an edit. Each result is added to **My Assets** as a new asset and does not overwrite its references. ## What do I need before writing the prompt? - First decide whether to start from text, upload reference images, or match an existing project frame. Text-only generation needs no uploaded file. - To preserve a person, product, logo, or layout, prepare clear reference images. To match the edit, plan to use `@` for a clip, time, or existing frame. - Decide the subject, composition, aspect ratio, visual style, number of images, whether the background should be transparent, and where the result belongs. - You can ask in natural language. If typing `/` shows an image-generation command for the current Agent, you can enter through that command instead. If no such command appears, write the prompt directly. ## Prompts you can copy Prompt ```text Generate a 16:9 product hero image of black wireless headphones on a light-gray stone surface. Use soft light from the left, reserve space for a headline on the right, and use realistic commercial photography. Do not generate text. ``` Prompt ```text Use @brand-screenshot as a reference and generate a 9:16 abstract background. Keep its blue-purple gradient and rounded geometric language, but do not copy any text or interface elements. ``` Prompt ```text Create three storyboard frames for the gap at @00:12: the same person using a laptop in a modern office, shown as a wide shot, medium shot, and hand close-up. Keep the clothing and environment consistent. ``` ## Generate an image with AI 1. Optionally use **+** to attach a reference, or Selection Mode to add project context with `@`. 2. Choose **GPT Image 2.5 Flare** for everyday speed or **GPT Image 2.5 Sunburst** for more precise editing. Up to 10 project images can be used as references. 3. Choose the aspect ratio, output size, quality, count, and **Auto**, **Opaque**, or **Transparent** background. Transparent output uses PNG and requires Image 2.5. 4. Enter the prompt. If an image-generation confirmation appears, check the estimate and select **Allow**. 5. Follow progress in the AI conversation or **My Assets**. 6. Drag the finished image from My Assets to a video track. To revise it, reference the latest result and describe what should change and what must remain fixed. ## Add an image manually If the image already exists, do not generate it again. Choose **My Assets → Import → Files…**, then drag it to a video track. Select the timeline item to adjust its position, scale, crop, and duration in the Inspector or canvas controls. ## ChatCut credits and Codex usage When ChatCut’s built-in Agent generates the image, use the ChatCut confirmation card and Credits History as the source of truth. When you control ChatCut from Codex through the Agent Plugin, or choose **Codex CLI** in ChatCut Desktop’s **Agent Selection**, image generation is performed through Codex and uses your Codex image-generation allowance. After switching runtimes, rely on the confirmation and usage information shown by the active product. See [Generation Confirmations and Auto-Allow](https://pr-444-preview.chatcut.dev/docs/generation-confirmations), [Generation References](https://pr-444-preview.chatcut.dev/docs/generation-references), and [Generation Credits](https://pr-444-preview.chatcut.dev/docs/generation-credits).