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
Commit History
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Delete diffusion_transformer_768p/diffusion_pytorch_model.bin
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Convert 768p DiT to safetensors (fp32) (#11)
Verified signature- Convert 768p DiT to safetensors (fp32) (160ffa7db282bd388e79f9a293130a88e117408f) Co-authored-by: Sean O'Neil <SeanScripts@users.noreply.huggingface.co>5d1d490
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