Instructions to use stablediffusionapi/athanimemix-v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/athanimemix-v20 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/athanimemix-v20", 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:
- 0228271394b7e46cfd05e2e35a7ca25ae33d42858f5e143e17419878c329fbea
- Size of remote file:
- 167 MB
- SHA256:
- f345f94672e384dea7e0080bafd1cad6a46111b4006c0a5c542f0c980aacdf0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.