Generate AI images from text prompts with gpt-image-2 or nano-banana.
npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill image-gen-chatcut-inc
Please help me install this Agent Skill. Skill: image-gen Source: https://github.com/ChatCut-Inc/agent-plugin/tree/main/claude/skills/image-gen Command: npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill image-gen-chatcut-inc
This Skill removes the complexity of creating visual assets by submitting AI image-generation jobs with the right model, composition, quality, and reference-image settings.
Use the image generation skill to create a named 16:9 hero poster with gpt-image-2 at the default 1K size.
High-intent search queries and answers about installing and using this skill.
To generate AI images from text prompts, submit a generation job specifying the model, aspect ratio, size, and descriptive asset name. You can produce visual assets like hero posters or product visuals directly for your video projects.
The best way to use reference images for background editing and compositing is to attach project image references to your generation job. The nano-banana model provides strong reference-image fidelity for matching existing visual assets.
Yes, gpt-image-2 supports readable text generation in AI art. It is specifically recommended for prompt adherence and readable text, making it suitable for poster creation and visual asset production requiring typographic clarity.
You can output experimental 2K or 4K resolution images for AI art generation, but explicit approval is required. By default, the workflow generates 1K size images at supported aspect ratios unless higher resolutions are explicitly authorized.
Your AI image generation job shows a non-terminal status because image processing is asynchronous. You must use the progress tracker to monitor non-terminal results until the visual asset generation completes successfully.
You track asynchronous AI image generation jobs by using the built-in progress tracker. After submitting your text prompts and reference settings, monitor the tracker to check job status until the final visual assets are produced.
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