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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0fb4352d9425a1926cf3edbf62c2f2044159516b35f9420ad37a5c9b336ec91d
- Size of remote file:
- 1.72 GB
- SHA256:
- eec42a428535c34b0a54f333ee467bf1f5fa4af5c909f6b49b451b784bc1a2cd
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