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:
- 5e9e5b965a1e3e08b13b15fa24d036fe687157333881d40bd105583953f26812
- Size of remote file:
- 1.36 GB
- SHA256:
- 1b88736321cd39627585bed0db6840d985e383576e217b66ba17ba8e7a4fd850
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