Lumiere AI video generator
Google Research's space-time diffusion research model for realistic video generation and editing.
Should You Use Lumiere?
Use it for: research history, space-time diffusion context, video editing research
Skip or compare first if: Research-only. Do not include in consumer availability ranking.
Positioning: Google Research's space-time diffusion research model for realistic video generation and editing.
Top Capabilities
- Space-time diffusionLumiere uses a space-time diffusion model for video generation.Source
- Primary source-backed profileLumiere has an official source, repository, paper, or model card attached for verification.Source
- Workflow coverageLumiere is tracked for t2v, i2v, stylization workflows in the catalogue.Source
Company Snapshot
Built by Google Research
Founded / HQ: partial/evidence pending / United States
What it does: Google Research is Google's broad research organization; Lumiere is a research-only video generation project relevant to the history of text-to-video and image-to-video systems.
Main products/ecosystem: Lumiere
Founders/leadership: partial/evidence pending
Scale/funding/status: corporate research team, United States
Relationship to Lumiere: Lumiere should be presented as a historical research reference, not as a tool that consumers can choose for everyday generation.
No public source link is attached yet.
Price, Access, Open Status
Access: Research Only
Open/closed: Closed.
Not publicly available as a consumer product.
Price, regional access, and commercial terms need a live check before cost-sensitive recommendations.
No public source link is attached yet.
No public source link is attached yet.
Latest Version
Lumiere
2024-01 / confirmed
Research project page and arXiv paper released.
Why It Ranks Here
Rank: #41 50
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: 68Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
- Capability Depth: 65Supported workflow tags: t2v, i2v, stylization, inpainting, research_only. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
- Ecosystem Popularity: 54GitHub stars are not applicable to this closed or research-only product unless an official public model repository is confirmed.
No public source link is attached yet.
- Web Authority: 52SEO snapshot found product domain lumiere-video.github.io and company domain research.google; sampled sitemap URL count is 0.
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.
Lumiere is a Google Research video generation project based on space-time diffusion. It is not a consumer product, but it is important in the technical history of video generation because it addressed temporal consistency, stylization, cinemagraphs, and video inpainting.
Version Progress
- LumiereResearch project page and arXiv paper released.
Open / Source Evidence
Status: Closed
No official open weights are listed in the current profile.
Latest News
Model-specific news entries link directly to the original publisher; article bodies stay off-site.
- Lumiere 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 | 68 | 24% | Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. | medium |
| Capability Depth | 65 | 16% | Supported workflow tags: t2v, i2v, stylization, inpainting, research_only. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. | high |
| Access And Pricing | 6 | 12% | Access types: research_only. Pricing note: Not publicly available as a consumer product. | low |
| Version Maturity | 38 | 12% | 1 version/history entries in the profile; latest public date is 2024-01. | medium |
| Ecosystem Popularity | 54 | 10% | GitHub stars are not applicable to this closed or research-only product unless an official public model repository is confirmed. No public source link is attached yet. |
medium |
| Web Authority | 52 | 10% | SEO snapshot found product domain lumiere-video.github.io and company domain research.google; sampled sitemap URL count is 0. | medium |
| Company Distribution | 20 | 10% | Google Research distribution profile: Lumiere should be presented as a historical research reference, not as a tool that consumers can choose for everyday generation.. | medium |
| Source Confidence | 83 | 6% | Profile source confidence is confirmed with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub n/a. | high |
Limitations And Pricing
Not publicly available as a consumer product.