Instructions to use leonel4rd/Cartoon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Cartoon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("leonel4rd/Cartoon") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 747 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/73afeb55-b620-4f42-bd74-f554ff03dd06.jpeg
base_model:
- stable-diffusion-v1-5/stable-diffusion-v1-5
instance_prompt: European and American cartoons, original character design, hand-drawn drafts
---
# Cartoonstyle
<Gallery />
## Trigger words
You should use `European and American cartoons` to trigger the image generation.
You should use `original character design` to trigger the image generation.
You should use `hand-drawn drafts` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leonel4rd/Cartoon/tree/main) them in the Files & versions tab. |