flux lora kuji LLM Model — Open LLM List

Introduction

FLUX LORA KUJI is a text-to-image model that applies a Huji cam-inspired finetuning to the flux-koda model, optimized for generating landscapes and naturalistic environments. It utilizes the Diffusers library for enhanced imaging capabilities.

Architecture

The model is built upon the base model black-forest-labs/FLUX.1-dev and incorporates LoRA (Low-Rank Adaptation) finetuning. This setup allows for adaptable and efficient training while focusing on specific styles and effects inspired by KUJI.

Training

The training of FLUX LORA KUJI was conducted on Replicate using the flux-dev-lora-trainer. The dataset primarily consists of images captured by the developer, enhancing the personalized aesthetic of the model. Keywords like 'flmft' and 'in the style of KUJI' are used to achieve optimal image outputs.

Guide: Running Locally

To run the FLUX LORA KUJI model locally, follow these steps:

Install Diffusers: Ensure you have the Diffusers library installed.
```
pip install diffusers
```
Set Up Environment: Import necessary modules and set up the CUDA environment.
```
from diffusers import AutoPipelineForText2Image
import torch
```

Load the Model: Use the following script to load the model and apply LoRA weights.

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('ludocomito/flux-lora-kuji', weight_name='lora.safetensors')

Generate Images: Input your desired prompt to generate an image.
```
image = pipeline('your prompt').images[0]
```

For optimal performance, consider using cloud-based GPUs, such as those offered by AWS, Google Cloud, or Azure, to handle intensive computations.

License

FLUX LORA KUJI is released under the flux-1-dev-non-commercial-license. For more information, refer to the license document. This license allows non-commercial use of the model and its derivatives.

More Related APIs in Text To Image