# AutoPipelineForText2Image vs DiffusionPipeline

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fautopipelinefortext2image-vs-diffusionpipeline%2F83657%3E%5C
**Category:** Beginners\
**Created:** [April 25, 2024, 6:51am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fautopipelinefortext2image-vs-diffusionpipeline%2F83657 "2024-04-25T06:51:54Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Alok23](https://avatars.discourse-cdn.com/v4/letter/a/c37758/32.png) [@Alok23](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FAlok23)%5C
**Post date:** [April 25, 2024, 6:51am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fautopipelinefortext2image-vs-diffusionpipeline%2F83657%2F1 "2024-04-25T06:51:54Z")

</div>

Hi,  
We can run a stable Diffusion Model for the Text-to-Image generation task with AutoPipelineForText2Image API as well as with DiffusionPipeline API. What is the difference between these two APIs? Which one is better? Is it like AutoPipelineForText2Image API supports a wide variety of models and DiffusionPipeline API just supports diffusion models?

Thanks,  
Alok.