Instructions to use LegoClipStars/Gallus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/Gallus 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/Gallus") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Gallus

- Prompt
- NEFT
- Negative Prompt
- Flying griffon
Model description
Here's my RVC 700 epoch voice model of Gallus from MLP:FIM
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for LegoClipStars/Gallus
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
Linaqruf/animagine-xl-2.0 Finetuned
cagliostrolab/animagine-xl-3.0