Instructions to use tuwonga/dbluth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/dbluth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/dbluth", 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
Add Diffusers weights
#1
by tuwonga - opened
Add Diffusers weights converted from checkpoint dbluth.ckpt in revision 73a42fef6a429f1508ea80fd3f6fdd6d62c29788
tuwonga changed pull request status to merged