Anahaaaan_Fluxx
| Property | Value |
|---|---|
| Author | codermert |
| Model Type | LoRA |
| Base Model | Flux-Super-Realism |
| Training Platform | Replicate |
| Model URL | Hugging Face |
What is anahaaaan_fluxx?
Anahaaaan_fluxx is a specialized LoRA (Low-Rank Adaptation) model trained using Replicate's Flux-dev-lora-trainer. It's designed to enhance image generation capabilities when used in conjunction with the Flux-Super-Realism base model.
Implementation Details
The model is implemented using the 🧨 diffusers library and requires CUDA-capable hardware. It's specifically designed to work with the Flux-Super-Realism-LoRA base model and uses the trigger word "TOK" for image generation.
- Compatible with AutoPipelineForText2Image
- Requires CUDA support
- Uses float16 precision for optimal performance
- Implements LoRA weights through safetensors format
Core Capabilities
- Text-to-image generation with specific trigger word support
- Integration with diffusers pipeline
- Support for weight adjustment and LoRA merging
- Optimized for the Flux-Super-Realism architecture
Frequently Asked Questions
Q: What makes this model unique?
This model is uniquely trained using the Flux-dev-lora-trainer on Replicate, offering specialized image generation capabilities when triggered with the "TOK" keyword. It's specifically designed to work with the Flux-Super-Realism architecture.
Q: What are the recommended use cases?
The model is best suited for text-to-image generation tasks where fine-tuned control over the output is desired. It's particularly effective when used with the specified trigger word "TOK" and can be integrated into larger pipelines using the diffusers library.
