Instructions to use Yume02/Lordv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yume02/Lordv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/Z-Image-De-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yume02/Lordv2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Lord Voldemort

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Model description
Lord Voldemort LoRa training with ZiT de distilled.
Recommanded weight: 0.8-1.0
Trigger words
You should use lordv to trigger the image generation.
Download model
Download them in the Files & versions tab.
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