#text-to-image

• 20 Nov 2025 · Paper summary

  Paper summary: Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation

  Kandinsky 5.0 is an open family of image and 10-second video generation models (6B Image Lite, 2B Video Lite, 19B Video Pro), with the full data-curation and multi-stage training pipeline described.

• 5 Aug 2025 · Paper summary

  Paper summary: Qwen-Image Technical Report

  Qwen-Image is an image-generation foundation model focused on rendering complex text (including Chinese) inside images and on consistent image editing, using a text-rendering curriculum and dual encoding of the input image.

• 26 Oct 2023 · Paper summary

  Paper summary: A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

  RECAP relabels a text-to-image training set with captions from a specialised captioning model instead of web alt-text, and reports better image quality and much better prompt following.

• 6 Oct 2023 · Paper summary

  Paper summary: Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

  Kandinsky combines a separately trained image prior, which maps CLIP text embeddings to CLIP image embeddings, with latent diffusion and a modified MoVQ autoencoder: 3.3B parameters, open weights.