flux lora uncensored
prashanth970Introduction
FLUX-LORA-UNCENSORED is a text-to-image model based on Flux LoRA, designed for generating specific types of images using trigger words. It is trained using the Fluxgym framework and can be integrated with various user interfaces and tools.
Architecture
The model leverages the LoRA (Low-Rank Adaptation) architecture, which is a fine-tuning method that enhances the capabilities of pre-trained models. The base model is black-forest-labs/FLUX.1-dev
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Training
The model was trained locally using the Fluxgym framework, which facilitates the training of machine learning models on local machines. Specific trigger words are used to guide the image generation process.
Guide: Running Locally
To run the model locally:
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Download the Model:
- Obtain the model weights in Safetensors format.
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Set Up Environment:
- Install necessary dependencies, such as Python and any required libraries.
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Choose an Interface:
- Compatible with interfaces like ComfyUI, AUTOMATIC1111, SD.NEXT, Invoke AI, Forge, etc.
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Run the Model:
- Implement the model using your chosen interface and input the trigger words to generate images.
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Cloud GPU Suggestion:
- Consider using cloud GPUs from providers like AWS, Google Cloud, or Azure for better performance and faster processing times.
License
The model is distributed under the flux-1-dev-non-commercial-license. For more details, refer to the license document. Use of this model is restricted to non-commercial purposes.