README.md

---
tags:
- text-to-image
- lora
- diffusers
- flux-diffusion
- nude
- art
- Racing
- SportsCar
- Speed
- MotorSport
- CarDesign
- F1
- AutoDesign
- Adrenaline
- Futuristic
- Cyberpunk
- AbstractArt
- Neon
- SciFi
- HighTech
- DigitalArt
- NudeArt
- FigureDrawing
- BodyArt
- Sensual
- HumanForm
- Anatomy
- FigureStudy
- Doll
- ActionFigure
- StylizedPortrait
- CharacterDesign
- FantasyCharacter
- Cinematic
- JamesBondInspired
- SpyThriller

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
- text: a hyper-realistic human figure using nudify_xl_lite
- text: a stylized doll-like character using edgBondDollLikenessv1
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
model-index:
- name: Xena
  results:
  - task:
      type: text-to-image
    dataset:
      name: Synthetic Dataset
      type: image-generation
    metrics:
    - type: FID
      value: 0
extra:
  inference_api: true
---

# 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](#).

## How to Use

```python
from diffusers import StableDiffusionPipeline
import torch

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

# Load multiple 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
pipe.load_lora_weights("nudify_xl_lite.safetensors")  # Nudify XL Lite
pipe.load_lora_weights("edgBondDollLikenessv1.safetensors")  # Edg Bond Doll Likeness

# 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")

# Example usage of Nudify XL Lite
prompt_nudify = "A hyper-realistic human figure, cinematic lighting"
image_nudify = pipe(prompt_nudify).images[0]
image_nudify.save("nudify_output.png")

# Example usage of Edg Bond Doll Likeness
prompt_doll = "A stylized doll-like character with intricate details, soft lighting"
image_doll = pipe(prompt_doll).images[0]
image_doll.save("doll_output.png")
```


I've added the required dataset.type field as "image-generation". Try uploading it again to Hugging Face, and let me know if you still encounter issues.