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:
- 9131136a6f57a52cca1e055c2ce1a71acea90befe0f8d015e406dfcb4223ccc9
- Size of remote file:
- 8.34 GB
- SHA256:
- d73e70c1fa5c19ac4d76116b2ced39d56ae22b40c84999075f8f668e22eb91f9
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