Canopus-Clothing-Flux-LoRA
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | CreativeML OpenRAIL-M |
| Downloads | 410 |
| Network Dimensions | 64 |
What is Canopus-Clothing-Flux-LoRA?
Canopus-Clothing-Flux-LoRA is a specialized text-to-image model fine-tuned for generating detailed clothing imagery. Built on the FLUX.1-dev architecture and enhanced with Florence-2-large captioning capabilities, this model excels at creating diverse clothing renders from detailed text prompts.
Implementation Details
The model employs a sophisticated training approach with AdamW8bit optimizer and constant LR scheduler. It features a network dimension of 64 with an alpha of 32, trained over 15 epochs with careful noise handling (offset: 0.03, discount: 0.1).
- Optimized for clothing-specific prompts including hoodies, shirts, pants, and general clothing items
- Implements advanced noise processing with 10 multires iterations
- Trained with 3000+ steps and 30 repeats per epoch
- Utilizes Florence-2-large for natural language processing
Core Capabilities
- Detailed clothing item generation with specific style control
- Support for various aspects ratios (68:101, 70:99, 2:3)
- Excellent handling of fabric textures and material details
- Studio-quality clothing visualization with lighting control
Frequently Asked Questions
Q: What makes this model unique?
This model combines FLUX.1-dev's powerful image generation capabilities with specialized clothing-focused training, enabling highly detailed and accurate clothing visualization with natural language prompts.
Q: What are the recommended use cases?
The model excels at generating product mockups, clothing designs, and fashion visualization. It's particularly effective for creating detailed views of garments with specific style attributes and environmental contexts.
