Generate Posters for an Event: Powered by Qwen Image an 3 other top image models

Last updated 13 Aug 2025

It was a challenge to generate text accurately in images. Most of the AI models (until early this year) struggled to render text accurately. The longer the texts, the more garbled they looked in the image. Not any more, with GPT-Image, OpenAI showed that longer text can be accurately rendered by these models. Qwen image, an open source model released by Alibaba in early Aug 2025 brought another model to the arena that could render longer text accurately (most of the times). Qwen's official paper suggests that the model can render text in English and Chines as it was trained on texts from these two languages.

This workflow leverages this ability to generate event posters based on the details shared by the user. We also use SeeDream v3, the image generation model by TikTok's parent company ByteDance and Ideogram 3.0 to compare them side by side with GPT Image and Qwen Image's outputs.

How does this workflow work

1. •We first ask the user to share the event details in a simple text format. This includes Event Name, Location and other primary details. We also details for design related aspects such as color and branding information.
2. •We then pass this to GPT o4 model to think and come up with a prompt that matches the user's request. We share a few prompt examples with GPT o4 to adhere to a certain format that works well.
3. •We then pass these prompts to the 4 models: GPT-Image, Qwen-Image, SeeDream and Ideogram 3.0 to generate posters.

This workflow is pretty powerful and help generate ideas and designs that can be a great start for a designer. Some of the designs produced are good to go directly to social media platforms such as Linkedin, Twitter and Instagram.