Instructions to use harsh8001/anime_wallpaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsh8001/anime_wallpaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("snwy/SD1.5-DALLE-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("harsh8001/anime_wallpaper") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
anime_wallpaper

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Trigger words
You should use animewallpaper to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for harsh8001/anime_wallpaper
Base model
snwy/SD1.5-DALLE-2