Instructions to use Deci/DeciDiffusion-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Deci/DeciDiffusion-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Deci/DeciDiffusion-v1-0", 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 Settings
- Draw Things
- DiffusionBee
How do I create an olive optimized Onnx version of this model?
#3
by softwareweaver - opened
I want to try this model in a C# app with DirectML and wanted to create an Olive optimized Onnx version of this model but the format looks different.
https://github.com/microsoft/Olive
Has anyone created an Onnx version of this model?
Thanks,
Ash