Instructions to use Junglerally/Digital-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Junglerally/Digital-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Junglerally/Digital-Diffusion", 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
- Xet hash:
- 190989b7cdfdcfc3df2dead204b07d27447a430fd98d5ce2a34272b61584b35a
- Size of remote file:
- 335 MB
- SHA256:
- 249c2b87d20e130873bae7ee0b4ea8e80dd7d5018ffa0a5e8bc8b93f269a80be
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