I2VGen-XL AI video generator
Alibaba VILAB's open image-to-video research model, useful as a historical I2V baseline.
Should You Use I2VGen-XL?
Use it for: image-to-video research, historical baseline, open-model comparison
Skip or compare first if: Older model quality is not frontier. Consumer-facing UI requires wrappers.
Positioning: Alibaba VILAB's open image-to-video research model, useful as a historical I2V baseline.
Top Capabilities
- Image-to-video baselineI2VGen-XL focuses on generating video from an input image.Source
- Primary source-backed profileI2VGen-XL has an official source, repository, paper, or model card attached for verification.Source
- Open/self-hosted access pathI2VGen-XL can be evaluated through open code, weights, or model-card resources when license terms allow.Source
Company Snapshot
Company profile is not yet attached to this model.
Price, Access, Open Status
Access: Open Weights, Research Only
Open/closed: Open.
Open/self-hosted research model; cost depends on compute.
Price, regional access, and commercial terms need a live check before cost-sensitive recommendations.
Latest Version
I2VGen-XL
2023-11 / confirmed
Open research image-to-video release and paper.
Why It Ranks Here
Rank: #45 47
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.
Key Score Drivers
These are the scoring dimensions most responsible for the current ranking position.
- Model Quality Proxy: 58Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
- Capability Depth: 53Supported workflow tags: i2v, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
- Source Confidence: 90Profile source confidence is confirmed with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub present.
- Version Maturity: 381 version/history entries in the profile; latest public date is 2023-11.
Alternatives And Comparisons
Use these when price, access, output style, or workflow fit is uncertain.
- SeedanceByteDance's frontier video generation family for multimodal, audio-video, short-form, and cinematic creator workflows.View modelCompare
- KlingKuaishou's broad AI video and image generation platform for text-to-video, image-to-video, native audio, references, and creator effects.View modelCompare
- PixVerseA creator-friendly AI video platform with strong API coverage for text-to-video, image-to-video, transitions, extension, and reference fusion.View modelCompare
- ViduShengShu Technology's video model family for native audio-video storytelling, image-to-video, and scene-oriented short-form production.View modelCompare
What It Is
Primary content is rendered into static HTML.
I2VGen-XL is an image-to-video model from Alibaba VILAB. It is older than current frontier models, but it remains important for understanding the evolution of image-conditioned video generation.
For the site, include it in open/research baselines and avoid ranking it directly against current commercial tools for consumer recommendation.
Version Progress
- I2VGen-XLOpen research image-to-video release and paper.
Open / Source Evidence
Status: Open
Open code, weights, or model-card resources are listed; verify license terms before commercial use.
Latest News
Model-specific news entries link directly to the original publisher; article bodies stay off-site.
- I2VGen-XL External source link for this model. Open original
Full Score Breakdown
Weighted evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence. See methodology and rankings.
| Dimension | Score | Weight | Evidence | Confidence |
|---|---|---|---|---|
| Model Quality Proxy | 58 | 24% | Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. | medium |
| Capability Depth | 53 | 16% | Supported workflow tags: i2v, 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 research model; cost depends on compute. | low |
| Version Maturity | 38 | 12% | 1 version/history entries in the profile; latest public date is 2023-11. | medium |
| Ecosystem Popularity | 39 | 10% | GitHub snapshot includes 1 repo(s), 9 stars, 0 forks, 0 open issues, latest pushed 2024-03-06T08:16:48Z. | high |
| Web Authority | 38 | 10% | SEO snapshot found product domain github.com and company domain home.alibabagroup.com; sampled sitemap URL count is unknown. | medium |
| Company Distribution | 30 | 10% | Company profile is missing; distribution score is provisional. | low |
| Source Confidence | 90 | 6% | Profile source confidence is confirmed with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub present. | high |
Limitations And Pricing
Open/self-hosted research model; cost depends on compute.