Instructions to use stablediffusionapi/animixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animixed 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/animixed", 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:
- d6252ad1cb7721cbdb19c61959b755ce193058c9a8a5593c9d4cb9ab1e0d4f5b
- Size of remote file:
- 246 MB
- SHA256:
- 51397c2d800c8c9d89a014d8537b0335c564cfa12ba8ce2aa344c8f23d9385e8
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