An image editing model can directly edit video latents via two zero-training projection layers
qixing_huang · x · 2026-09-04
The Qwen-Video-Edit project finds that video and image latent spaces are far less different than almost everyone assumes: an image editing model that has never seen a video can directly edit the latents of a video generation model through just two zero-training projection layers.\n\nThe difference isn't zero either — it hides in one specific place: temporal compression. The post walks through the chain of experiments used to measure this gap and the open-source project it produced.\n\nCode is open-sourced and integrated into DiffSynth-Studio, with ComfyUI nodes and a full install guide in the repo.
More from Multimodal
- First open-source AI movie generates every scene from real GitHub commits — derewah · 2026-09-04
- Suno's new paid downloads feature slammed as costing as much as 10 vinyl tracks — AIandDesign · 2026-09-04
- 4DAnyone turns one video into multiview-consistent output, runs on <32GB GPUs via Gradio — kornia_foss · 2026-09-04
- Krea launches creative agent beta that prompts like a designer across 150+ image and video models — TitusTeatus · 2026-09-04
- MiniMax H3 Video on 8GB VRAM: Full ComfyUI Workflow Open-Sourced — Ecstatic-Use-1353 · 2026-09-04
- MiniMax H3 video generated locally on a 3080 Ti: 12-part series rendered free in 6 hours — cocktailpeanut · 2026-09-04