Instructions to use stablediffusionapi/01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/01 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/01", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a80f2599570618d9ba19ca21314285c1d938b693ae8bc4d11a6fea7694fbbd10
- Size of remote file:
- 1.72 GB
- SHA256:
- f251bfc96057f6ad7fe054f35250cb5569279bda10a62209a25572145cdc07fb
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