Instructions to use stablediffusionapi/animeillustdiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animeillustdiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/animeillustdiffusion2", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 32eb7d89fae4c7ac1e86303a45729c08f8472060a74e2e0b170f7722408e5802
- Size of remote file:
- 167 MB
- SHA256:
- 98bedbfab24749893a1939e549ddfa0354d133e2bcfc8496af6df4dc083b8a4c
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