Prompt Optimizer v2.6.3

Summary

• Added image prompt extraction so existing images can be turned back into reusable prompt material.
• Introduced stronger image understanding support in core services and extraction templates.
• Tightened the desktop release pipeline and refreshed the default MiniMax model baseline.

Highlights

• Image prompt extraction became a first-class workflow, making it easier to reverse engineer prompts from generated or reference images.
• Core image understanding capabilities expanded to support that extraction flow more cleanly.
• Release stability improved through desktop pipeline fixes and a more up-to-date MiniMax default model.

Product Updates

Web

• Added an image prompt extraction workflow in the UI.
• Connected image extraction behavior to the new image understanding and prompt-template support underneath.

Core/Infra

• Added an image understanding service and extraction-focused templates in core.
• Upgraded the default MiniMax model baseline to M2.7.
• Cleaned up release automation so desktop builds no longer auto-publish releases unexpectedly.

Fixes

• Fixed the desktop release pipeline so build jobs stop auto-publishing releases.
• Reduced the chance of stale default-model behavior by aligning MiniMax defaults with the newer model generation.

Breaking Changes / Upgrade Notes

• None. This release extends image tooling without requiring migration steps.

Developer Notes

• This version is the real starting point for image prompt extraction in the current codebase.
• If you are tracing when image understanding moved from isolated logic into reusable release-ready workflows, this is the version to reference.