Instructions to use stablediffusionapi/our with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/our 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/our", 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:
- 87f8b5e5692ee67af8e0cfb7df37f5553dc272fcb8cd0d364281af01ab53c995
- Size of remote file:
- 246 MB
- SHA256:
- e129d1d6f612017864813126a3066992481119c5ab7d65615613b716f6ad92c5
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