How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("LennOFF/lunanyx-lora")

prompt = "lunanyx"
image = pipe(prompt).images[0]

YAML Metadata Error:"base_model" is not allowed to be empty

Lunanxy LoRA

Prompt
lunanyx

Model description

Custom LoRA trained on top of Z-Image Turbo. Designed for fast, high-quality image generation in ComfyUI. Recommended LoRA weight: 0.6 – 1.0

Trigger words

You should use lunanxy to trigger the image generation.

Download model

Download them in the Files & versions tab.

Downloads last month
3
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support