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
- Draw Things
- DiffusionBee

- Xet hash:
- 08a4830bdda3b3b3e22a0384431ceedaad090ba124ccbaf34a8b2d4a28fc742f
- Size of remote file:
- 364 kB
- SHA256:
- 81f2c64ab9d5ff267e51a0a20834597d33417a63da9c7f13fd7e51916ee92b9f
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