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:
- 128e167bda1004b6f1009846e0c4a75c7fbf11d88bb929956b6723def543fc5c
- Size of remote file:
- 3.44 GB
- SHA256:
- 66f8b72c7178eeb9d98b11bbd5b5100087b38f9a01acccee57b9b2215238e374
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