Instructions to use zuxori/zu-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zuxori/zu-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zuxori/zu-lora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Zu / LoRA

- Prompt
- -
Model description
A lightweight Flux-family LoRA model fine-tuned on Zu’s visual identity. Designed for fast, stylized generation of mythic portraits, dream fragments, and reincarnated memories. Intended for use with black-forest-labs/FLUX.1-dev as the base model.
Trigger words
You should use zu to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for zuxori/zu-lora
Base model
black-forest-labs/FLUX.1-dev