Flux.1-Dev-Quote-LoRA
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Base Model | black-forest-labs/FLUX.1-dev |
| Training Images | 18 |
| Network Dimensions | 64 |
| Network Alpha | 32 |
What is Flux.1-Dev-Quote-LoRA?
Flux.1-Dev-Quote-LoRA is a specialized fine-tuned LoRA model designed for generating motivational quote stickers with consistent styling. Built on the FLUX.1-dev base model, it uses a trigger word "quoter" to generate visually appealing quote presentations against clean backgrounds.
Implementation Details
The model employs an AdamW optimizer with a constant learning rate scheduler and incorporates advanced noise handling with a 0.03 offset and 0.1 multires noise discount. Training was conducted over 10 epochs with 1750 steps per repeat cycle, utilizing florence2-en for natural language processing in English.
- Optimal resolution: 768x1024 (best) or 1024x1024 (default)
- Training dataset: 18 carefully curated images from Canva
- Implementation requires torch and DiffusionPipeline setup
Core Capabilities
- Generation of quote stickers with consistent styling
- Clean white background compositions
- Text-to-image conversion with brown/rectangular sticker aesthetics
- Motivational and inspirational quote rendering
Frequently Asked Questions
Q: What makes this model unique?
The model specializes in creating visually consistent quote stickers with specific styling, utilizing a small but focused training dataset of 18 images to maintain style consistency.
Q: What are the recommended use cases?
This model is ideal for generating motivational quote images for social media, digital content creation, and design projects requiring consistent sticker-style quote presentations.
