Instructions to use mrdave99us/supadavetron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrdave99us/supadavetron with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrdave99us/supadavetron", 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
Add Diffusers weights
#1
by mrdave99us - opened
Add Diffusers weights converted from checkpoint SupaDaveTron.ckpt in revision c293d5f592b140ebd7c193779a49d334ee05bf9b
mrdave99us changed pull request status to merged