Diffusers
TensorBoard
Safetensors
PyTorch
DDPMPipeline
conditional-image-generation
diffusion-models-class
Instructions to use 1aurent/ddpm-mnist-conditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1aurent/ddpm-mnist-conditional with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("1aurent/ddpm-mnist-conditional", 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
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