Instructions to use patrickvonplaten/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/dummy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/dummy", 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:
- 68b3172ac848cbbb317accd19efb8fca4b67bc6768e5df238e4bd08f75a4adec
- Size of remote file:
- 447 kB
- SHA256:
- ee40c8cc9495a97eeb62cbd3e4e3ada4b503b207b5a0033eb4f3d67d1be5fc50
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