Instructions to use LegoClipStars/Laval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/Laval with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LegoClipStars/Laval") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Laval

- Prompt
- NEFT
- Negative Prompt
- animal hero
Model description
Here's my RVC voice model of Laval from Legends of Chima.
Trigger words
You should use Please spare me to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for LegoClipStars/Laval
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
Linaqruf/animagine-xl-2.0 Finetuned
cagliostrolab/animagine-xl-3.0