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---
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") |