Instructions to use greerben0/leo-cat-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use greerben0/leo-cat-sdxl-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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("greerben0/leo-cat-sdxl-lora") prompt = "LEONARDCAT in a bucket on the beach" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Leo Cat

- Prompt
- LEONARDCAT in a bucket on the beach
.png)
- Prompt
- imagine LEONARDCAT as the tin man walking down the yellow brick road
Trigger words
You should use LEONARDCAT 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 greerben0/leo-cat-sdxl-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0