Instructions to use DD-65/diffusionnumbers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DD-65/diffusionnumbers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DD-65/diffusionnumbers", 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
Updated model card examples
Browse files
README.md
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# DiffusionNumbers DDPM
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## Usage
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# DiffusionNumbers DDPM
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| <img src="samples/generated-2.png" width="100" height="100" /> | <img src="samples/generated-4.png" width="100" height="100" /> | <img src="samples/generated-8.png" width="100" height="100" />
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## Usage
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