Instructions to use rain1011/pyramid-flow-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rain1011/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("rain1011/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:
- 9382f4036a843bc221af5c5f9c769ebf84522a27bcdc3cb832f85f0f014cacf0
- Size of remote file:
- 1.34 GB
- SHA256:
- 8385177ef6dc62f9e0665213c1509f750a59b496ddf573b4524d7a641b21d260
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