Instructions to use stablediffusionapi/meinapixie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/meinapixie 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/meinapixie", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5197639b7e5a3053ffcdf19e10d07ff60f6d91fea73e37794a0a40e0318a7929
- Size of remote file:
- 3.44 GB
- SHA256:
- b4d26c4d7c9771a6457144f8f0215ecf9bed3ae47f9392fc29edd550ed851d7f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.