Instructions to use softwareweaver/Rectified-Flow-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/Rectified-Flow-Olive-Onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/Rectified-Flow-Olive-Onnx", 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
- Local Apps
- Draw Things
- DiffusionBee
Olive Optimized DirectML Onnx model for https://huggingface.co/XCLiu/2_rectified_flow_from_sd_1_5
Note: Non Comercial License to match the original license
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