Pegasi-Beta-GTA-LoRA

Pegasi-Beta-GTA-LoRA

prithivMLmods

A GTA-style LoRA model for SDXL that creates images in the visual style of Grand Theft Auto games. Features 64 network dimensions and 15 training epochs.

PropertyValue
Base ModelSDXL 1.0
LicenseCreativeML OpenRAIL-M
Network Dimensions64
Training Epochs15

What is Pegasi-Beta-GTA-LoRA?

Pegasi-Beta-GTA-LoRA is a specialized LoRA model trained to generate images in the distinctive visual style of Grand Theft Auto games. Built on StableDiffusion XL base 1.0, this model enables creators to generate high-quality GTA-style artwork with precise control over character appearance and scene composition.

Implementation Details

The model employs a constant learning rate scheduler with AdamW optimizer, featuring 64 network dimensions and 32 network alpha. Training utilized noise offset of 0.03 and multires noise iterations of 10, with 20 repeats across 15 epochs. It's designed to work seamlessly with both RealVisXL V4.0 and SDXL base 1.0.

  • Optimized for SDXL pipeline integration
  • Supports EulerAncestralDiscrete scheduler
  • Implements custom noise parameters for enhanced stability

Core Capabilities

  • Generate GTA-style character portraits and posters
  • Create game-accurate environmental scenes
  • Transform real personalities into GTA-style artwork
  • Support for high-resolution output (16k, UHD, HDR)

Frequently Asked Questions

Q: What makes this model unique?

This model specifically targets the GTA aesthetic while maintaining SDXL's high-quality output capabilities. It's optimized for character-focused scenes and game-style poster generation.

Q: What are the recommended use cases?

Ideal for creating GTA-style character portraits, game promotional materials, and transforming real people into GTA-style characters. The model excels at generating images that match the iconic GTA visual style while maintaining artistic quality.

Socials
PromptLayer
Company
All services online
Location IconPromptLayer is located in the heart of New York City
PromptLayer © 2026