Instructions to use stablediffusionapi/1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/1 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/1", 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:
- 2d659068927328837292bdfefca4360d8c4e04d19ee7c6af460beb087d34ef73
- Size of remote file:
- 246 MB
- SHA256:
- 3519bc79e75b3f7f6e258c54c05484d1da97112b4975b7b2c85def252b4b5253
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