Instructions to use stablediffusionapi/sweetmuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/sweetmuse 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/sweetmuse", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5e0f32fa13744c7355d187acf12b6cf613b99fdda74a467b51f3983129ba2c95
- Size of remote file:
- 1.72 GB
- SHA256:
- 33220108257599820280de4a29ae12a53b7037095b61d76cef55d8ec649f3cf8
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