SDXL_Photoreal_Merged_Models

Maintained By
deadman44

SDXL Photoreal Merged Models

PropertyValue
Authordeadman44
Model RepositoryHugging Face
Base ModelsNoobAI XL, Animagine XL 3.1
Training Data20,000+ fine-tuned images

What is SDXL_Photoreal_Merged_Models?

SDXL_Photoreal_Merged_Models is a sophisticated collection of merged SDXL models specifically designed for generating highly photorealistic images. The collection includes multiple variants like Zipanoob_XL and Zipang_XL, each optimized for different use cases with extensive fine-tuning on large datasets.

Implementation Details

The model combines multiple base architectures including NoobAI XL and Animagine XL 3.1, with specialized training using sd-scripts (SD3 branch). It implements advanced features like zero terminal SNR and adaptive noise scaling for optimal results.

  • Optimized for 768x1024 to 1152x896 resolutions
  • Uses Euler a sampling method with 6 steps
  • Implements SGM Uniform and KL Optimal scheduling
  • Features specialized trigger words for age and ethnicity control

Core Capabilities

  • Photorealistic portrait generation with detailed lighting control
  • Advanced ethnicity-specific features (Japanese/European)
  • Age-specific rendering (3-30 years old)
  • Specialized for both natural and controlled lighting conditions
  • High-quality upscaling support through Hires.fix and ADetailer

Frequently Asked Questions

Q: What makes this model unique?

The model's strength lies in its merged architecture combining multiple base models and extensive fine-tuning on 20,000+ images, resulting in exceptional photorealistic output with precise control over subject characteristics.

Q: What are the recommended use cases?

The model excels at portrait generation, particularly for photorealistic images with specific ethnic features. It's optimized for both casual photography styles and professional lighting scenarios, with particular strength in natural lighting conditions.

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