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:
- 84554ac0462056c432894c7a44b5c4aaa1b63672ea5b11c7d5be515b32f69a1b
- Size of remote file:
- 167 MB
- SHA256:
- b0d5bc590fc39b84e823843cee5a11dd4b0ef84951543188b7803c04334080e7
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