Downloads · 30 days
305
7% of all-time downloads
Xena18284/Xena
Xena is a text-to-image model from Xena18284. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Downloads · 30 days
305
7% of all-time downloads
All-time downloads
4.2K
Public
Repo size
2.6 GB
Likes
1
Public
Click a slice to open those files.
.safetensors2.6 GB · 100%
From the Hugging Face model README
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.
Weights for this model are available in Safetensors format.
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
pipe.load_lora_weights("Porsche_918.safetensors") # Porsche 918
# 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")