Instructions to use lambda/miniSD-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/miniSD-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/miniSD-diffusers", 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:
- 63e01087b0c06f57e6c3b713e3c0c959b13fdfe64c93ba691555f945cad4e652
- Size of remote file:
- 3.44 GB
- SHA256:
- 615a89ad5c74becbc785fa8512ed394ca2f22fb963dc8ac826a936079bdd9f74
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