Hierarchical text-conditional image generation with CLIP latents

Welcome aMUSEd: Efficient Text-to-Image Generation

Open Preference Dataset for Text-to-Image Generation by the 🤗 Community

Introducing Würstchen: Fast Diffusion for Image Generation

Appearance Pointers -- Multimodal Region Control of Diffusion Transformers

arXiv:2607. 19344v1 Announce Type: cross Abstract: Controllable image generation remains challenging for creative professionals, who often require precise regional control over materials, object identities, and spatial arrangements that cannot be reliably achieved through text prompting alone.

Zero-shot image-to-text generation with BLIP-2

Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning

arXiv:2606. 05816v1 Announce Type: cross Abstract: T2I models cannot effectively capture sentiment from various types of text, including diaries, as they primarily focus on visual object-related patterns rather than contextual emotional understanding.