
The UNESCO-UNEVOC International Centre: Who We Are | What We Do | Donors and partners | Working With Us | Get in Touch
The UNEVOC Network: Learn About the Network | UNEVOC Network Directory | UNEVOC Network Spotlight
For Members: UNEVOC Centre Dashboard
LO-EMMA-LA.7z
Thematic Areas: Inclusion and Youth | Digital Transformation | Private Sector Engagement | SDGs and Greening TVET
Our Key Programmes & Projects: BILT: Bridging Innovation and Learning in TVET | Building TVET resilience | TVET Leadership Programme | WYSD: World Youth Skills Day | UNEVOC Network Coaction Initiative
Past Activities: COVID-19 response | i-hubs project | TVET Global Forums | Virtual Conferences | YEM Knowledge Portal
The file is a compressed archive typically associated
Publications & guides: Publications | Greening TVET guide | Entrepreneurial learning guide | Inclusion in TVET guide
Resources: TVET Forum | TVETipedia Glossary | Global Skills Tracker | TVET Country Profiles | Innovative and Promising Practices | Open Educational Resources | Digital Competence Frameworks | TVET Toolkits
Events: Major TVET Events | UNEVOC Network News
LO-EMMA-LA.7z
The file is a compressed archive typically associated with custom modifications or "LoRA" (Low-Rank Adaptation) models for AI image generation, specifically for the character Emma from the game Reverse: 1999 . Key Features
As a LoRA, it allows users to adjust the "strength" of the character's influence on a generated image, typically used alongside a base model in interfaces like Automatic1111 or Forge .
While focused on one character, these archives often include metadata or trigger words (e.g., emma (reverse: 1999) ) that help the AI place the character in various settings or art styles beyond the original game’s art.