Instructions to use mountassir/ddpm-flowers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mountassir/ddpm-flowers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mountassir/ddpm-flowers", 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:
- 8dba431a9a6e1738de1bfbf7b66f1bd1be8acc5eb01308004bf12f3a4bd07aee
- Size of remote file:
- 910 MB
- SHA256:
- 7a51562f46241312f2334cdce9d67cef880d20265ef72eadeee45559dbe405d3
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