Castor-Character-Polygon-Flux-LoRA

Maintained By
prithivMLmods

Castor-Character-Polygon-Flux-LoRA

PropertyValue
LicenseCreativeML OpenRAIL-M
Base Modelblack-forest-labs/FLUX.1-dev
Network Dimensions64
Training Images25+ Hi-RES
Epochs15

What is Castor-Character-Polygon-Flux-LoRA?

Castor-Character-Polygon-Flux-LoRA is a specialized fine-tuned LoRA model designed to generate highly detailed 3D polygon character portraits. Built on the FLUX.1-dev base model, it excels in creating realistic human characters with precise facial features, varied expressions, and complex lighting effects.

Implementation Details

The model utilizes a constant learning rate scheduler with AdamW optimizer, featuring a network dimension of 64 and alpha of 32. It implements advanced noise handling with a 0.03 offset and multires noise discount of 0.1 across 10 iterations. The training process spans 15 epochs with 1.9K+ steps.

  • Optimized for character portrait generation with polygon-style rendering
  • Supports multiple viewing angles and detailed facial features
  • Enhanced lighting and texture capabilities
  • Natural language processing using florence2-en labeling

Core Capabilities

  • Hyper-realistic character portraits with customizable features
  • Diverse character types including young professionals, elegant individuals, and modern urban styles
  • Advanced lighting and shadow effects
  • Detailed texture rendering for skin, hair, and clothing
  • Multiple angle generation support

Frequently Asked Questions

Q: What makes this model unique?

The model specializes in creating highly detailed 3D polygon character portraits with exceptional attention to facial features, textures, and lighting effects. It's particularly effective at generating realistic human characters with diverse characteristics and styles.

Q: What are the recommended use cases?

This model is ideal for creating character portraits for digital art, concept design, gaming assets, and professional visualization projects. It excels in generating detailed facial features, varied expressions, and different viewing angles of characters.

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