Unconditional image generation            Unconditional image generation generates images that look like a random sample from the training data the model was trained on because the denoising process is not guided by any additional context like text or image. To get started, use the DiffusionPipeline to load the anton-l/ddpm-butterflies-128 checkpoint to generate images of butterflies. The DiffusionPipeline downloads and caches all the model com