Instructions to use DavyMorgan/tiny-sd3-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavyMorgan/tiny-sd3-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DavyMorgan/tiny-sd3-pipe", 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:
- 1367fb2d8ea15404a3bbbfb4e346b5ea72582f3042b10cd3190a69b58bbc2017
- Size of remote file:
- 1.81 MB
- SHA256:
- 7fda5bf9bbafb2ce63764c5e16f912758c1bb4f6966e419deb31367fc2f64884
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