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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7bd1da81eb2d5e00e95ea37f95165f74c715734e34b3b8f964bb1300c7bdf8de
- Size of remote file:
- 1.72 GB
- SHA256:
- 292bda52bad263626472a1779ce3d0b5109d432c70d7ae4db9c814628c5d470c
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