del? Take a look at the training guide to learn how to generate your own images.
In this guide, you’ll use DiffusionPipeline for unconditional image generation with DDPM:


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>>> from diffusers import DiffusionPipeline

>>> generator = DiffusionPipeline.from_pretrained("anton-l/ddpm-butterflies-128")
The DiffusionPipeline downloads and caches all modeling, tokenization, and scheduling components.
Because the model consists of roughly 1.4 