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
Upload 384p diffusion_pytorch_model.safetensors
#7
by SeanScripts - opened
Convert to safetensors (bfloat16)
SeanScripts changed pull request title from Upload diffusion_pytorch_model.safetensors to Upload 384p diffusion_pytorch_model.safetensors
I will upload this as fp32 for consistency and make a separate repo for bf16 for people who want to save on space.
SeanScripts changed pull request status to closed