Instructions to use stablediffusionapi/meinamix-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/meinamix-sd 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/meinamix-sd", 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:
- 6c5b0d9710d5f0214fc16bb00c29ddb06ee76aaab1cff5a5056b4383614bb24f
- Size of remote file:
- 246 MB
- SHA256:
- a07396a5b00d48fdf99cd1ca148ad37440749d75e333863727ff031b52b5676b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.