Imagine effortlessly creating stunning posters with intricate glyphs, personalized fonts, and captivating backgrounds, all thanks to the power of AI. GlyphDraw2, a cutting-edge framework, is transforming the landscape of visual design by automating the creation of complex glyph posters. This innovative technology leverages the power of diffusion models and large language models (LLMs) to generate high-resolution posters with unprecedented detail and customization. Creating visually striking posters is a crucial aspect of marketing, advertising, and industrial design. While text-to-image diffusion models have made significant strides in generating realistic images, the realm of automatic poster generation remained largely unexplored. GlyphDraw2 addresses this gap by introducing a triple-cross attention mechanism based on alignment learning, enabling precise text rendering within detailed contextual backgrounds. One of the key challenges in poster generation is ensuring the accurate rendering of small, paragraph-level text. Traditional ControlNet models often struggle with the fine-grained details required for clear and legible text. GlyphDraw2 overcomes this limitation by incorporating a novel triple cross-attention method. This method involves two additional cross-attention layers in the decoder section of the diffusion model. One layer focuses on the interaction between glyph features and hidden variables within the image, enhancing glyph rendering accuracy. The other layer enables interaction between ControlNet features and image hidden variables, ensuring a harmonious text layout. To maintain the richness and visual appeal of the poster background, GlyphDraw2 employs auxiliary alignment loss (AAL) for semantic consistency. This helps preserve the overall quality and coherence of the generated image, even with the added complexity of the triple cross-attention mechanism. Automating the design process is further enhanced by the integration of fine-tuned LLMs. These LLMs analyze user descriptions and generate corresponding glyphs and coordinate positions, effectively eliminating the need for manual layout input. This streamlines the poster creation process, allowing users to focus on the creative vision rather than the technical details. GlyphDraw2 also addresses the crucial requirement of high resolution in poster design. The framework is built on SDXL adjustments, allowing for configurable aspect ratios and supporting high-resolution output. This is complemented by the introduction of a high-resolution font dataset and a poster dataset, both with resolutions exceeding 1024 pixels, ensuring crisp and detailed final products. Extensive experiments demonstrate GlyphDraw2’s ability to generate poster images with complex backgrounds and accurate text rendering. While GlyphDraw2 represents a significant advancement in AI-powered poster design, there are still challenges to overcome. Predicting accurate glyph bounding boxes for complex scenarios remains an area for improvement. Furthermore, maintaining a balance between background richness and text rendering accuracy requires ongoing refinement. Despite these challenges, GlyphDraw2 opens up exciting possibilities for the future of visual design. By automating complex tasks and offering unparalleled customization, GlyphDraw2 empowers both designers and non-designers to create visually stunning posters with ease. As AI technology continues to evolve, we can anticipate even more sophisticated and intuitive tools that will further democratize the creative process.