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", torch_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:
- acb6d9775ed3c576bdc05db1cc41f59a99e7ff9abb39e9139d0d5bddd97364f5
- Size of remote file:
- 8.34 GB
- SHA256:
- 59eeee86ade2c2765a6703e628c81e09b7c5e7191775aa80c5fb552313cc33be
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