Instructions to use SeanScripts/pyramid-flow-sd3-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SeanScripts/pyramid-flow-sd3-bf16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SeanScripts/pyramid-flow-sd3-bf16", 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:
- fc6949cbad66f7d857cb1cb823451540bb55889341bb0792f5cda08240e1fa86
- Size of remote file:
- 4.17 GB
- SHA256:
- 1829eef557f5917fc585d3a0d8efa82cd2acbf63a4183eded40538a901c4d834
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.