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
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.
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")