FramePack AI video generator
An open long-video/image-to-video technique that compresses frame context to extend generation length.
Decision Snapshot
Score: 51
Score source: Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.. Evidence confidence is medium.
Best For
Supported Workflows
Access And Company
Built by Lllyasviel. Public access is listed as Open Weights, Research Only.
Entry Points
Score Breakdown
Weighted evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence.
| Dimension | Score | Weight | Evidence | Confidence |
|---|---|---|---|---|
| Model Quality Proxy | 60 | 24% | Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. | low |
| Capability Depth | 56 | 16% | Supported workflow tags: i2v, long_video, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. | medium |
| Access And Pricing | 30 | 12% | Access types: open_weights, research_only. Pricing note: Open/self-hosted; cost depends on hardware and integrated model. | low |
| Version Maturity | 28 | 12% | 1 version/history entries in the profile; latest public date is 2025. | medium |
| Ecosystem Popularity | 100 | 10% | GitHub snapshot includes 1 repo(s), 17,161 stars, 1,731 forks, 486 open issues, latest pushed 2025-10-16T01:28:50Z. | high |
| Web Authority | 28 | 10% | SEO snapshot found product domain github.com and company domain unknown; sampled sitemap URL count is unknown. No public source link is attached yet. |
medium |
| Company Distribution | 30 | 10% | Company profile is missing; distribution score is provisional. | low |
| Source Confidence | 74 | 6% | Profile source confidence is partial with 1 official URL(s), 1 feature evidence item(s), SEO present, GitHub present. | medium |
What It Is
Primary content is rendered into static HTML.
FramePack is an open community project from lllyasviel focused on longer video generation using frame-context packing. It is a method and workflow direction more than a polished consumer model.
For the benchmark site, include FramePack under open/research because long-video continuity is one of the most important evaluation dimensions for future AI video tools.
Key Features
- Frame-context packingFramePack targets longer video generation by packing frame context efficiently.Source
- Primary source-backed profileFramePack has an official source, repository, paper, or model card attached for verification.Source
- Open/self-hosted access pathFramePack can be evaluated through open code, weights, or model-card resources when license terms allow.Source
Version Progress
- FramePackCommunity release focused on longer video generation workflows.
Latest News
Model-specific news entries link directly to the original publisher; article bodies stay off-site.
- FramePack GitHub repository External source link for this model. Open original
Limitations And Pricing
Open/self-hosted; cost depends on hardware and integrated model.