Flux-Dalle-Mix-LoRA

Maintained By
prithivMLmods

Flux-Dalle-Mix-LoRA

PropertyValue
Base Modelblack-forest-labs/FLUX.1-dev
LicenseCreativeML OpenRAIL-M
Training Data44 High-Resolution Images
Network ArchitectureLoRA (64 dim, 32 alpha)

What is Flux-Dalle-Mix-LoRA?

Flux-Dalle-Mix-LoRA is an experimental fine-tuned LoRA model designed to enhance the FLUX.1-dev base model with DALL-E style image generation capabilities. The model specializes in producing high-quality photorealistic and artistic renders, trained using carefully curated high-resolution images and optimized hyperparameters.

Implementation Details

The model employs a constant learning rate scheduler with AdamW optimizer, featuring a network dimension of 64 and alpha of 32. Training included noise offset (0.03) and multires noise features, running for 15 epochs with 3700 steps.

  • Optimal dimensions: 768x1024 (recommended) or 1024x1024
  • Training utilized florence2-en labeling for natural language processing
  • Implements noise discount of 0.1 with 10 iterations

Core Capabilities

  • Photorealistic portrait generation with precise silhouette control
  • Stylized character rendering (Pixar/DreamWorks style)
  • High-detail close-up shots with texture emphasis
  • Artistic interpretations with controlled chaos elements

Frequently Asked Questions

Q: What makes this model unique?

The model combines FLUX.1-dev's capabilities with DALL-E style generation, offering exceptional control over photorealistic and artistic renders through the 'dalle-mix' trigger word.

Q: What are the recommended use cases?

Ideal for creating high-quality portraits, character designs, and artistic interpretations, particularly when aiming for photorealistic results or stylized character renders in the vein of major animation studios.

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