Instructions to use vdo/pyramid-flow-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/pyramid-flow-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/pyramid-flow-sd3", 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
- Xet hash:
- 40a9c46ee8ad7c9b8326814079d0b16e02ad22388edf8428d55cdd7dea5e96db
- Size of remote file:
- 8.34 GB
- SHA256:
- 9e3398a326ac23aa0743123b868ca7b6a6786cf7e2f464030ee840270b389b6a
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