GPT Image 2: High-Quality AI Reference Images for Videos

GPT Image 2: High-Quality AI Reference Images for Videos

The GPT Image 2 skill generates or modifies high-quality reference images for video production, including character reference images, scene compositions, and keyframes needed for both the starting and ending frames of videos. This tool is specifically designed for creating standalone images compatible with video templates, with support for attaching multiple reference images and specifying their intended use.

What this skill does

• Clarifies the purpose of the image, detailing aspects such as character, scene, initial frame, or final frame.
• Identifies key elements such as subject, action, composition, and dimensions, and secures legible character reference images when consistency is required.
• Selects the appropriate entry point for image generation, through either native host tools or user-configured official API, accurately recording each chosen method.
• Binds reference images by visual verification, noting identity, clothing, setting, posture, or style to be used, without introducing irrelevant outputs.
• Crafts natural language prompts aligned with task requirements and stores the original prompt text.
• Generates a single image at a time, ensuring parameter checks are complete before submission, and reviewing outcomes or saving image data as required.
• Preserves original files for delivery and revises images only upon user request without erroneous regenerations.
• Handles issues such as unreadable reference images or parameter confirmation problems by either adjusting tools or recording the inability to proceed.

Who it is for

This skill is targeted at developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex who require precise reference images for video production purposes.

Use cases

• Generating consistent character appearance across multiple video frames using high-quality reference images.
• Assisting video production teams in designing initial and concluding frames with accurate scene details and compositions.
• Providing animation studios with detailed scene definitions to improve continuity and visual style consistency.

Technical details

• Operates within the framework of AI agent skills, utilizing the GPT Image 2 model for generating high-quality reference images.
• Employs a structured procedure to ensure image validity, reference image usage, and consistency of visual results.
• Facilitated by standard library client tools for offline checks and repeated submissions prevention.

Source & Licence

This package is built on open-source work published by Shenrui-Ma (Shenrui-Ma/video-regen-recipes) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.