LDMTextToImagePipeline often consist of multiple components. These components can be both parameterized models, such as "unet", "vqvae" and “bert”, tokenizers or schedulers. These components can interact in complex ways with each other when using the pipeline in inference, e.g. for LDMTextToImagePipeline or StableDiffusionPipeline the inference call is explained here.
The purpose of the pipeline classes is to wrap the complexity of these diffus