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:
- 507d66d99640e99d7ac861b0dcd8413bf50aa10989eb2672e9047a997dfc72be
- Size of remote file:
- 1.72 GB
- SHA256:
- f29e8b0be9465b84ff3e36a7d28c49031187a8934a0237cca14c35db9e6d9111
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