Instructions to use shahid202/small-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahid202/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("shahid202/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
- Draw Things
- DiffusionBee
- Xet hash:
- 836ac87c9affc40ab729136fe5ccd48f57ddcf6b361ee0eb5df69618d551cc5d
- Size of remote file:
- 2.32 GB
- SHA256:
- e39f0de3f3a8dcd1fd6cac0b27cf6394ad8d7840c59cf8a166ad2d11ce58854c
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