A P123_flux_dev_cutaway_style

Introduction

The GLIF-LORADEX-TRAINER model, developed under the Glif Loradex program by user AP123, is a text-to-image model utilizing diffusers and the sd-lora template. It specializes in generating "cutaway" illustrations of various objects like cars, airplanes, and rockets.

Architecture

The model is based on the black-forest-labs/FLUX.1-dev architecture, fine-tuned for generating detailed cutaway illustrations. It leverages the capabilities of diffusers to transform text prompts into visual representations.

Training

The model was trained using the AI Toolkit by Ostris under the Glif Loradex program. It incorporates specific trigger words, such as "cut4w4y illustration," to produce the desired output.

Guide: Running Locally

1. Clone the Repository: Download the model files from the Files & Versions tab.
2. Install Dependencies: Ensure that you have Python and the necessary libraries installed, including PyTorch and diffusers.
3. Load the Model: Use the Safetensors format to load the model weights.
4. Run Inference: Input text prompts to generate images.

Suggestion for Cloud GPUs

For enhanced performance, especially with large-scale models, consider using cloud GPUs from platforms like AWS, Google Cloud, or Azure.

License

This model is distributed under the flux-1-dev-non-commercial-license. For more details, refer to the license document.