Practical overview
When it fits
Use AnyV2V when you want to investigate image-guided video-to-video editing, try the documented prompt or style-transfer demos, or work with the repository's local research workflow.
Who it is for
- Researchers exploring image-guided video editing and video synthesis.
- Creators who want to apply prompt-based edits or style transfer to a video using a single edited frame.
- Developers who want to study or adapt the framework's code and data.
Documented uses
- Explore prompt-based editing of a single video in a notebook.
- Run a local Gradio demo pairing AnyV2V with InstructPix2Pix or InstantStyle.
- Prepare source videos and configuration entries for the inversion and editing pipeline.
- Study a training-free approach that turns video editing into an image-editing problem.
Requirements & limits
The code and data are public under the MIT license. The repository links to Hugging Face Spaces and Replicate demos as well as local options.
- The central workflow uses one edited image to guide video editing rather than requiring model fine-tuning.
- The README documents different routes: a notebook for one video, local Gradio demos, and configured scripts for multiple demo videos.
- The local setup instructions cover i2vgen-xl; consisti2v and seine have separate README instructions.
- The README reports local-demo support for edits up to 16 seconds (128 frames) under an A6000 GPU.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Set up the i2vgen-xl environment
Prepare the repository and Conda environment for the documented local demos or notebook.
Before you start
- Git
- Conda
Steps
Clone the AnyV2V repository and enter its directory.
Change into the i2vgen-xl directory.
Create the Conda environment using environment.yml.
Expected outcome
The repository and its i2vgen-xl Conda environment are prepared; the README directs users to the local demo or notebook instructions for the next stage.
Guide limitations
- This setup recipe does not cover running an edit.
- The README gives separate instructions for consisti2v and seine.
Prepare a source video and edited first frame
Set up the documented inputs and configuration for editing a user-provided video.
Before you start
- The AnyV2V repository and its i2vgen-xl environment
- A source video
- An edited first-frame image
Steps
Place the source video in the demo folder.
Create a folder for the video under demo and an edited_first_frame subfolder inside it.
Create the edited first-frame image with the included image-editing script or another image-editing method, and place it in edited_first_frame.
Add entries for the video to the group_config.json files in the group_ddim_inversion and group_pnp_edit configuration directories.
Expected outcome
The video, edited first frame, and configuration entries are prepared for the repository's inversion and editing stages.
Guide limitations
- The guide covers preparation, not execution of the inversion and editing pipeline.
- The README refers users to provided examples for the configuration entries.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 17 October 2026
- Original website title
- TIGER-AI-Lab/AnyV2V · Official homepage title · retained in its source language