flux victorian xmas cards

Introduction

The FLUX Victorian Xmas Cards model is designed for generating unique, Victorian-style Christmas card images using text prompts. It employs a text-to-image pipeline, integrating various advanced techniques, including LoRA (Low-Rank Adaptation) and the Diffusers library.

Architecture

The model is based on the black-forest-labs/FLUX.1-dev as its base model. It uses the Hugging Face Diffusers library, which supports text-to-image conversion. The model is fine-tuned with additional LoRA weights to enhance its ability to generate specific styles of images.

Training

The model was trained using the Replicate platform, utilizing the flux-dev-lora-trainer. This setup allows for the integration of LoRA weights, facilitating specific style adaptations like the Victorian Xmas card theme.

Guide: Running Locally

1. Setup Environment
   Ensure you have Python installed and set up a virtual environment. Install the necessary libraries, including torch and diffusers.

   pip install torch diffusers
   

2. Load the Model
   Utilize the following code snippet to load the model with its LoRA weights and generate an image.

   from diffusers import AutoPipelineForText2Image
   import torch
   
   pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
   pipeline.load_lora_weights('fofr/flux-victorian-xmas-cards', weight_name='lora.safetensors')
   image = pipeline('your prompt').images[0]
   

3. Generate Images
   Use prompts with the trigger word WEIRDVICTORIANXMASCARD to generate images. Adjust your prompts to suit your creative needs.

Cloud GPUs
For better performance, especially with larger models or higher resolution images, consider using cloud GPUs such as those provided by AWS, Google Cloud, or Azure.

License

The model is distributed under the flux-1-dev-non-commercial-license. For more details, refer to the license documentation. This license is intended for non-commercial use only.