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
- Draw Things
- DiffusionBee
- Xet hash:
- 1a3ef970dd9e77c752344a9cc7f75f5a246378555e545a81eae2841d843a1607
- Size of remote file:
- 22.7 kB
- SHA256:
- 1540138f8b1fb8927b746d7fdd94204ad18a8343da29e26b212c417c1a718351
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