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
fix pipeline compatibility with diffusers>=0.29
#7
by katuni4ka - opened
fix pipeline compatibility with the latest diffusers.
transformer_2d was moved into models.transformers several releases ago. in 0.29.0, backward compatibility imports like models.transformer_2d were removed
katuni4ka changed pull request title from Update pipeline.py to fix pipeline compatibility with diffusers>=0.29