Flux-Super-Capybara-HF
| Property | Value |
|---|---|
| Base Model | black-forest-labs/FLUX.1-dev |
| License | Apache-2.0 |
| Network Dimensions | 64 |
| Training Images | 20 |
| Optimal Dimensions | 768x1024, 1024x1024 |
What is Flux-Super-Capybara-HF?
Flux-Super-Capybara-HF is a specialized LoRA model built on the FLUX.1-dev base model, designed to generate cartoon-style capybara artwork. The model has been trained using florence2-en labeling for natural language processing in English, utilizing a carefully curated dataset of 20 images.
Implementation Details
The model employs an AdamW optimizer with a constant learning rate scheduler, featuring a network dimension of 64 and alpha of 32. Training was conducted over 15 epochs with noise offset of 0.03 and multires noise iterations of 10.
- Optimized for 768x1024 and 1024x1024 dimensions
- Utilizes bfloat16 precision for efficient processing
- Implements noise offset and multires noise discount techniques
Core Capabilities
- Generates cartoon-style capybara artwork
- Supports custom prompting with trigger word "capybara hf"
- Optimized for CUDA-enabled devices
- Supports integration with DiffusionPipeline framework
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in generating cartoon-style capybara artwork with specific aesthetic qualities, trained on a focused dataset with precise hyperparameters for optimal results.
Q: What are the recommended use cases?
The model is ideal for generating cartoon illustrations featuring capybaras, particularly suited for artistic and creative projects requiring stylized animal artwork at 768x1024 or 1024x1024 resolutions.
