README.md

---
tags:
  - text-to-image
  - lora
  - diffusers
  - futuristic
  - cars
  - midjourney
  - SDXL
base_model: strangerzonehf/Flux-Midjourney-Mix2-LoRA
instance_prompt: "A futuristic racing car in a neon-lit cityscape, cinematic lighting"
license: creativeml-openrail-m
language:
  - en
library_name: diffusers
pipeline_tag: text-to-image
widget:
  - text: A hyper-realistic futuristic racing car in a neon city
    output:
      url: images/example1.jpg
  - text: A sci-fi spaceship flying over a futuristic city, cinematic lighting
    output:
      url: images/example2.jpg
---

# Xena

<Gallery />

## About the Model

Xena is a LoRA model fine-tuned for creating stunning, futuristic racing car imagery. It is based on the **Flux-Midjourney-Mix2-LoRA** and integrates the **Midjourney V6.1 meets FLUX [+SDXL]** LoRA for artistic, detailed, and sci-fi-inspired results.

---

## Download the Model

Weights for this model are available in Safetensors format. You can download them from the **[Files & Versions tab](https://huggingface.co/Xena18284/Xena/tree/main)**.

---

## How to Use

### Using Diffusers (Python Library)

Here's how you can use the model with the `diffusers` library:

```python
from diffusers import StableDiffusionPipeline
from safetensors.torch import load_file

# Load the base pipeline
pipe = StableDiffusionPipeline.from_pretrained("Xena18284/Xena")

# Load the LoRA weights
pipe.load_lora_weights("racing_car_style_v1.safetensors")  # Your first LoRA
pipe.load_lora_weights("aidmaMJ61-FLUX-v05.safetensors")  # Midjourney v6.1 + FLUX

# Generate an image
prompt = "A futuristic racing car on a neon-lit street at night, cinematic lighting"
image = pipe(prompt).images[0]
image.save("racing_car_output.png")