Instructions to use segmind/small-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/small-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/small-sd", 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:
- eebd5d18db0a99580d10b05f256e40d980803f041f59e9b5fecec621922f08b3
- Size of remote file:
- 492 MB
- SHA256:
- 97cd1d64ce7c54986d2189d7f5b81fbe0cb6359f7532d736a3ebccc499d079bf
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