---
tags:
  - text-to-image
  - lora
  - diffusers
  - flux-diffusion
  
inference: true

widget:
  - text: "a red Nissan GTR R35 in a rainy city scene"
  - text: "a futuristic neon-lit city with cars flying in the background"
  - text: "a cyberpunk-inspired motorcycle speeding through a glowing tunnel"
base_model:
  - black-forest-labs/FLUX.1-dev
instance_prompt: "a {subject} in a {scene}"
pipeline_tag: text-to-image
library_name: diffusers
metrics:
  - FID
license: creativeml-openrail-m
---
# Xena 

<Gallery />

## Model description

Xena is a model based on the **FLUX 1.0** diffusion model, fine-tuned for creating high-quality, realistic, and futuristic automotive and cyberpunk-style images. It incorporates the **Midjourney FLUX LoRA** for enhanced detail and flexibility when generating artistic and hyper-realistic outputs.

The model excels in creating vivid scenes with cars, motorcycles, or urban landscapes in neon-lit or rainy settings. You can combine this LoRA with others for more creative results.

---

## Download model

Weights for this model are available in Safetensors format. 

[Download them here](https://huggingface.co/Xena18284/Test123/tree/main).

---

## How to Use

from diffusers import StableDiffusionPipeline
from safetensors.torch import load_file

# Load the base pipeline
pipe = StableDiffusionPipeline.from_pretrained("Xena18284/Xena", torch_dtype=torch.float16)

# Load both LoRA weights
pipe.load_lora_weights("aidmaMJ61-FLUX-v05.safetensors")  # Midjourney to Flux
pipe.load_lora_weights("racing_car_style_v1.safetensors")  # Racing Car Style

# Generate an image
prompt = "A futuristic racing car on a neon-lit street, ultra-detailed, cyberpunk"
image = pipe(prompt).images[0]
image.save("output.png")