README.md

metadata

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

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.

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Download the Model

Weights for this model are available in Safetensors format. You can download them from the Files & Versions tab.

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How to Use

Using Diffusers (Python Library)

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

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")