All AI video models in one workspace: the OmniArt lineup
One workspace, every notable AI video model. How OmniArt's unified video lineup — Sora 2, Veo 3, Kling 3, V6, BACH, HappyHorse — speeds up production.
The hardest part of working with AI video in 2026 isn't picking a model — it's switching between them. Sora 2 lives behind one subscription, Veo 3 behind another, Kling and V6 behind two more, and every workflow ends with a tab graveyard. OmniArt collapses that into one workspace: one balance, one prompt grammar, every notable AI video model side by side, picked per shot instead of per subscription.
This piece is the working tour of the OmniArt video lineup — what each model is good at, what the unified workspace adds on top, and the production workflows it unlocks for creators, marketers, and teams shipping at volume.
Why "all models in one workspace" matters
The AI video field has fragmented faster than any team's budget can keep up. A cinematic ad might want V6 with the BACH cinematographer for camera control, a long single take from Sora 2 for the establishing shot, native 4K Veo 3 for the broadcast cutdown, and HappyHorse 1.0 for the multilingual social variants. Five tabs, five logins, five credit pools, and a manual export-import dance between each.
OmniArt's value isn't building yet another model. It's removing the seams between the ones already available. The same brief, the same reference images, the same character lock — re-run through any model in the lineup in a single click.
| Without a unified workspace | Inside OmniArt |
|---|---|
| Per-model subscriptions and balances | One balance across every model |
| Re-uploading references for each tool | Reference library shared by every generation |
| Manual style and prompt translation | One prompt grammar that ports across models |
| Compare by export, import, screenshot | Side-by-side compare inside the workspace |
| Lock-in to whichever model you committed to | Swap models per shot, per brief, per campaign |
The OmniArt video lineup
The lineup is curated, not exhaustive — every model in the workspace earns its place by being the best at something a real creator actually does. The roster as of May 13, 2026:
Sora 2 — long single-take clips
Sora 2 still wins on raw single-clip duration. It produces up to 20 seconds of coherent motion in one generation, which removes the seam-management overhead of stitching with extend modes. Reach for it when the brief needs an unbroken ensemble shot, a long pull-back, or a cinematic establishing take.
- Best for: long single-take cinematic shots, ensemble scenes
- Trade-off: stricter content gating, slower iteration loops
Veo 3 — native 4K with spatial audio
Veo 3 ships native 4K at 60fps and the cleanest spatial audio in the field. Image adherence is high, and motion direction from prompt verbs ("drift", "glide", "snap") is interpreted with cinematic restraint. The model to reach for when broadcast or large-screen delivery is the target.
- Best for: broadcast, TVCs, theatrical-grade output
- Trade-off: 8-second cap per generation; higher cost tier
Kling 3.0 — value at scale, multilingual lip-sync
Kling 3.0 stays the value pick at this scale: native 4K, multi-language lip-sync, and a Multi-Shot AI Director mode for storyboarded sequences. Cost per finished second remains lower than the Western leaders, which matters when the brief is "ship 40 localized variants."
- Best for: social campaigns at scale, multilingual content, e-commerce
- Trade-off: style coherence varies on highly stylized briefs
V6 + BACH — the cinematographer's pick
V6 paired with the BACH cinematographer model is the lineup's pick for parameterized camera control: focal length, depth of field, lens aberration, and dolly speed are explicit knobs, not vague presets. BACH's multi-shot scaffold lets you stitch a 30-second sequence with consistent characters and continuous lighting across cuts.
- Best for: branded narratives, mini-films, complex camera moves
- Trade-off: higher cost per second than fast-mode alternatives
HappyHorse 1.0 — fast inference with native audio
HappyHorse 1.0 packs a unified text-image-video-audio Transformer into an 8-step distilled pipeline. The result is a model that turns around 1080p clips with native joint audio in roughly 38 seconds on an H100 — three to six times faster than peers — without giving up perceptual quality. Multilingual lip-sync across six languages ships from a single weight set.
- Best for: rapid iteration, ASMR-grade social content, multilingual ads
- Trade-off: 15-second cap per clip; no native multi-shot mode
Seedance 2.0 — the multi-reference workhorse
Seedance 2.0 accepts up to nine reference images, three reference videos, and three audio files in a single prompt, all addressable with @image1 / @video1 syntax. That makes it the cleanest path for character consistency across multi-shot timelines and the easiest model to brief like a director.
- Best for: multi-shot stories, character-locked campaigns, in-video edits
- Trade-off: aggressive content moderation; steeper prompt grammar
Runway Gen-4.5 — frame-level motion control
Runway Gen-4.5 keeps the lead on granular motion direction with Motion Brush and per-frame trajectory tools. When a specific limb needs to swing along a specific arc, or a particle needs to follow a hand-drawn path, Runway is still the cleanest workflow.
- Best for: VFX, motion design, precise puppeteering
- Trade-off: steeper learning curve; weaker on naturalistic dialogue
Hailuo (MiniMax) — physics and product motion
Hailuo is the speed pick when physics matters: cloth simulation, secondary motion, hair, and fluid behavior render with low latency and few corrections. It's the model creators reach for when the brief is "make this product hero spin and the dust catch the light."
- Best for: product motion, physics demos, rapid prototyping
- Trade-off: narrower aspect-ratio support; weaker dialogue
Grok Imagine — social-first with native audio
Grok Imagine handles 1–15 second clips up to 720p with a useful Reference Mode that takes 1–7 anchor images without locking the first frame. Native audio is included, and the platform ships Restyle, Modify, and Extend modes for non-destructive iteration. Cost per second is competitive at 480p for TikTok and Reels work.
- Best for: social-first creators, sketch-to-life animations, fast restyles
- Trade-off: 720p ceiling; Modify mode auto-scales high-res inputs to 854×480
Picking the model by the job
The point of the lineup isn't to crown a single winner — it's to know which slider to reach for when a brief lands.
| Job to do | Reach for |
|---|---|
| One long take in a single pass | Sora 2 |
| Native 4K for broadcast | Veo 3 |
| Volume + multilingual + value | Kling 3.0 |
| Cinematic shot with a complex camera move | V6 + BACH |
| Fast turnaround with native audio | HappyHorse 1.0 |
| Character consistency across many shots | Seedance 2.0 |
| Frame-level VFX and trajectory work | Runway Gen-4.5 |
| Product spins, physics, and secondary motion | Hailuo |
| 480p–720p social with audio | Grok Imagine |
What the unified workspace adds
Aggregating models is the table stakes. The workspace earns its place by adding the layer on top that every model is missing on its own.
One prompt grammar across models
Every model has its own preferred prompt dialect — Veo wants verb-first cinematography terms, Kling rewards explicit camera presets, Seedance uses @image1 reference tags. OmniArt's prompt layer translates a single creative brief into the dialect each model expects, so the iteration loop is "try the same brief in two models" instead of "rewrite the prompt for each model."
A shared reference library
Character lock is the most expensive thing in AI video. OmniArt keeps reference images, product shots, location plates, and audio files in a single library that every model in the lineup can address. The same character anchor that locks Seedance 2.0 also locks V6 and Kling 3.0 — no re-uploading, no version drift between models.
Side-by-side comparison
The workspace lets you run the same brief through two or three models in parallel and compare results side by side. That turns model selection from a multi-week subscription bet into a per-shot decision.
Multi-modal handoffs
Video doesn't exist in isolation. OmniArt's image, audio, and music workspaces sit next to the video lineup, so generating a hero still in GPT Image 2, animating it in V6, and scoring it in the music workspace happens without leaving the tab.
Tip
For multi-shot campaigns, build the reference library first — character portrait, product reference, location plate, brand audio bed — then run the same shot list through two models and pick the one that holds continuity best. The reference library does the work; the model is the brush.
Production workflows the lineup unlocks
E-commerce product video
For a 30-second product ad, generate the establishing shot in Sora 2, product reveals in Hailuo (for physics) or V6 (for cinematography), benefit cutaways in HappyHorse 1.0 for speed, and broadcast cutdowns in Veo 3 when the campaign goes to TV. Same product reference image across every shot keeps logos and packaging stable.
Multilingual social campaigns
Generate the hero spot once in Kling 3.0 with the source language lip-sync, then re-render localized variants for each market — Kling handles six major languages from a single weight set. For markets that need fast-turn variants, run HappyHorse 1.0 in parallel for sub-minute iteration.
Branded short films
Build the shot list in Seedance 2.0 with @image1 character locks, render the cinematic camera moves in V6 + BACH, and use Runway Gen-4.5 for any frame-level VFX work. The shared reference library keeps the lead character recognizable across all three engines.
Real-time and interactive content
For interactive entertainment, game previs, and real-time streaming use cases, R1's continuous generation mode is the production-ready option in the lineup. Pair it with HappyHorse 1.0 for pre-rendered cutaway loops.
What's on the watch list
A few models sit on the watch list rather than the active lineup. DeepSeek's multimodal V4 has a clear roadmap but isn't yet in the workspace. FLUX.2's video sibling is in preview. Google's reported Gemini Omni model is unannounced as of May 13, 2026 — OmniArt will add it to the lineup if and when it ships publicly with stable API access.
The bar to enter the workspace isn't novelty — it's whether a real creator's brief gets better outputs faster with the model than without it.
Getting started on OmniArt
The fastest way to feel the difference is to run one real brief through two models side by side. Pick a 15-second product ad or a 10-second cinematic shot, build the reference library once, and let the workspace re-run the brief through whichever models in the lineup match the shot grammar.
For background on the image-to-video shortlist used inside the same workspace, see the 2026 image-to-video model roundup. For the BACH multi-shot workflow specifically, see the BACH cinematographer guide.