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
- Draw Things
- DiffusionBee
- Xet hash:
- f399ea5f037ec0d2bc1adde12b7a5dbc2b2d01ff720e2b83d20a5f14634225d6
- Size of remote file:
- 246 MB
- SHA256:
- 390baeb51269442874effb4dfb81a8e48e9256a8a56c28f112c8659cc127d8ba
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