---
title: "PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation"
url: https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1
source_url: https://mlops.community/pixart-%CE%B1-a-diffusion-transformer-model-for-text-to-image-generation/
type: article
source: "MLOps Community"
published: 2024-03-07T14:09:09.927Z
updated: 2024-05-09T09:28:05.588Z
tags: ["genai", "stable-diffusion", "text-to-image"]
reading_time: 11
upvotes: 1
comments: 0
language: en
---

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# PIXART-α: A Diffusion Transformer Model for Text-to-Image Generation

**[MLOps Community](https://daily.dev/sources/mlopscommunity)** · 11 min read · 1 upvotes · 0 comments

## Summary

Pixart-α is a text-to-image diffusion model that generates high-resolution images with competitive quality using only 10.8% of the training time compared to Stable Diffusion v1.5. This article explores the optimization of text-to-image training, the architecture and training strategy of Pixart-α, and compares the image quality of Pixart-α with Stable Diffusion XL.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://mlops.community/pixart-%CE%B1-a-diffusion-transformer-model-for-text-to-image-generation/>

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---

Tags: [#genai](https://daily.dev/tags/genai), [#stable-diffusion](https://daily.dev/tags/stable-diffusion), [#text-to-image](https://daily.dev/tags/text-to-image)

[View this post on daily.dev](https://daily.dev/posts/pixart--a-diffusion-transformer-model-for-text-to-image-generation-akoayddt1)