Instructions to use alvdansen/popartanime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alvdansen/popartanime 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("alvdansen/popartanime") prompt = "a mouse knight, daiton style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Pop Art Anime

- Prompt
- a mouse knight, daiton style

- Prompt
- a princess with a dress mad of flowers, daiton style

- Prompt
- a boy with a cool hat, daiton style

- Prompt
- a happy girl, daiton style
Model description
A very blocky and bold cartoon style with some anime elements.
Trigger words
You should use daiton style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Model release is for research purposes only. For commercial use, please contact me directly.
Download them in the Files & versions tab.
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Model tree for alvdansen/popartanime
Base model
stabilityai/stable-diffusion-xl-base-1.0