| | Point this workflow at a directory of clips and it will automatically stitch them together, fixing awkward motion and transition artifacts. At each seam, VACE generates new frames guided by context on both sides, replacing the seam with motion that flows naturally between the clips. How many context frames and generated frames are used is configurable. The workflow is designed to work well with a few clips or with dozens. Input clips can come from anywhere: Wan, LTX-2, phone footage, stock video, whatever you have. The workflow runs with either Wan 2.1 VACE or Wan 2.2 Fun VACE. v2.5 Updates
submitted by /u/goddess_peeler |
The default assumption in most LLM developer communities is that you start with raw API…
Multimodal large language models (MLLMs) have recently shown strong performance in visual understanding, yet they…
When Model Context Protocol (MCP) tools underperform, the cause is rarely the protocol itself but…
Many of the most challenging and valuable problems in the world are related to optimization.…
A surprise 10th-anniversary event saw Niantic fulfilling a promise teased in the original 2016 launch…
In creating a comprehensive, AI-enabled research agent for the biomedical sciences, Stanford University researchers hope…