Instructions to use Tomechi02/Macne_style_enahncer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tomechi02/Macne_style_enahncer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tomechi02/Macne_style_enahncer") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Macne Style Enhancer

- Prompt
- -
Model description
A LoRA that was trained on data and helps with replicating the macne art style.
Trigger words
You should use macne to trigger the image generation.
You should use macloid to trigger the image generation.
You should use gomoku to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Tomechi02/Macne_style_enahncer
Base model
Qwen/Qwen-Image