Instructions to use diffusers/ddpm-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/ddpm-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("diffusers/ddpm-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
- Xet hash:
- dbcddc75a1fdd35c93c81181109534251e446d9a151e5351b965531c6ae12681
- Size of remote file:
- 4.03 MB
- SHA256:
- addd8dbd73f2dcb120cdc5f4dc18c8d9c5924940b01d05c6ac064f9f63643499
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