Flux.1-Dev-Frosted-Container-LoRA
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Base Model | black-forest-labs/FLUX.1-dev |
| Training Images | 16 |
| Network Dimensions | 64 |
What is Flux.1-Dev-Frosted-Container-LoRA?
Flux.1-Dev-Frosted-Container-LoRA is a specialized LoRA model designed for generating high-quality images of frosted glass containers and product packaging. Built on the FLUX.1-dev base model, it utilizes advanced training parameters to create realistic container visualizations with precise detail and professional finishing.
Implementation Details
The model employs a constant learning rate scheduler with AdamW optimizer, featuring a network dimension of 64 and alpha of 32. Training was conducted over 10 epochs with 2200 steps, incorporating noise offset (0.03) and multires noise iterations for enhanced detail generation.
- Optimal dimensions: 768x1024 (Best) or 1024x1024 (Default)
- Florence2-en labeling system for natural language processing
- Specialized trigger word: "frosted GC"
Core Capabilities
- Generation of detailed product container images
- Accurate text rendering on containers
- Precise lid and container detail reproduction
- Professional packaging visualization
Frequently Asked Questions
Q: What makes this model unique?
The model specializes in creating highly detailed frosted container images with professional-grade quality, trained specifically on a curated dataset of 16 images with precise parameter tuning.
Q: What are the recommended use cases?
This model is ideal for product packaging visualization, container mockups, and commercial product photography simulation, particularly effective at 768x1024 resolution.
