OpenAI

Sora 2

Sora 2 turns short, well-structured prompts or a single reference image into cinematic clips with stable motion and consistent subjects. It works especially well for vertical social formats where clarity and composition matter more than complex, multi-shot narratives.

Use Sora 2 when you want fast concept exploration and repeatable looks. Describe the subject, action, setting, and camera in clear sentences. If you have a brand still or hero frame, start from image‑to‑video to preserve identity and composition while adding motion.

Sora 2 video generation on Mivo

Sora 2 world-simulation reel (9:16)

Sora 2 jumps straight to what feels like the GPT-3.5 moment for video—staying coherent through Olympic gymnastics passes, backflips on paddleboards, and even triple axels while a cat clings on without breaking physics.

These vertical clips showcase how Sora 2 handles failure states realistically, keeps world state across multi-shot directions, and layers cinematic looks with synchronized ambient audio. You can also swap in real footage or cameos to blend the physical world into these simulations.

Overview

Sora 2 is designed for clear and consistent motion in short clips. It supports both text‑to‑video and image‑to‑video, which makes it flexible for ideation and brand‑safe iterations. Concise direction on camera and framing helps maintain composition while you experiment with mood and lighting.

When building a sequence, generate a few short takes rather than a single long pass. This keeps results sharp and lets you quickly A/B test style, color, or camera movement. Once you’re satisfied, publish on your Mivo profile to collect donations or export for editing.

For vertical storytelling, keep one subject and one action per clip. Reserve detailed style language for the parts that define the look (for example, “soft morning light” or “neon‑lit night”), and avoid long adjective lists that could dilute intent.

Keep your first frame clean—Sora 2 captures a poster automatically once you publish or export. For previews, upload a still that matches the tone of the clip.
Sora 2 Models

Flexible Output Levels

Sora 2

Fast, social‑ready text/image → video.

Sora 2 Pro (Std)

Richer visuals for narratives and branding.

Sora 2 Pro (HD)

High‑definition polish for promos.

Key features

Text‑to‑video is useful for fast ideation. Describe a subject and action in a specific setting, and add one camera instruction—like a slow dolly‑in—to guide motion. Image‑to‑video helps you keep brand identity or character proportions while introducing cinematic movement.

Sora 2 supports portrait 9:16, square 1:1, and landscape 16:9. Pick a ratio based on where your clip will be viewed. Vertical is usually best for social, while 16:9 works for YouTube or widescreen promos.

Consistency comes from clarity. Keep each take focused on one action and use concrete nouns. When you iterate, change a single variable so you can see the effect. This makes it easier to reach a repeatable look and feel.

Who benefits?

App builders and platforms use Sora 2 to turn simple prompts into cinematic clips that engage communities. The model’s stability makes it easier to integrate into creator tools without unpredictable drift.

Studios and artists animate boards and design frames with subtle camera motion to explore story beats. Marketing teams rely on short, repeatable looks for teasers and product showcases across channels.

For gaming and virtual worlds, Sora 2 can quickly prototype character motion or environment mood. Image‑to‑video is helpful when you already have a hero frame and need stylistically consistent motion.

Sora 2 vs Wan 2.5: detailed comparison

Both Sora 2 and Wan 2.5 generate synchronized audio‑video clips from text or images. Sora 2 emphasizes robust world simulation, physics consistency, and multi‑shot control in a managed ecosystem. Wan 2.5 leans into developer‑friendly previews, native audio in fast iterations, and flexible styling.

CapabilitySora 2 (OpenAI)Wan 2.5 (Alibaba)
PositioningFlagship model integrated with ChatGPT/Sora AppNext‑gen Wan with public previews for builders
Native AudioYes: synchronized dialogue, ambience, and effectsYes: first Wan with native audio tracks aligned to visuals
Prompt ControlStrong multi‑shot narrative control; maintains world state/physicsImproved adherence to camera moves, layout, timing
Motion & PhysicsPhysics‑aware simulation to avoid artifacts across scenesSmoother motion and temporal consistency vs Wan 2.2
Resolution & LengthReports of 1080p+ in some modes (limits undisclosed)Preview suggests 1080p clips; caps evolving
Input ModalitiesText prompts, cameo uploads, style conditioningText‑to‑video, image‑to‑video, stylization, scripted dialogue timing
Deployment & AccessClosed ecosystem via OpenAI apps/APIsOpen‑preview via partners (e.g., Fal/Pollo AI)
Monetization/PricingSubscription tiers (e.g., ChatGPT Pro)Promotional credits; evolving pricing
Cameo/IdentityCameo insertion available in Sora AppNo confirmed parity yet (may evolve)
StrengthsAirtight controllability, robust physics, managed infraDeveloper‑friendly, native audio, fast iteration, cost‑aware
Ideal Use CasesComplex, narrative‑driven productions needing continuityRapid prototyping, vertical loops, branded templates

Notes: Summaries reflect public previews and coverage; specifics may evolve.

Sora 2 vs Veo 3.1: detailed comparison

From Sora’s perspective: both models handle text/image → video. Sora 2 emphasizes flexible styling, strong physics consistency, and creator workflows; Veo 3.1 focuses on premium cinematic fidelity and stable camera language.

FeatureSora 2Veo 3.1
PositioningFlagship OpenAI model; robust world/physics simulationGoogle DeepMind model with film-grade polish
Generation modesText-to-video, Image-to-videoText-to-video, Image-to-video
Audio & A/V syncNative dialogue/ambience/effects in supported flowsSynchronized audio/lip-sync in supported environments
Prompt adherenceStrong multi-shot control and scene continuityExcellent realism; stable framing and camera moves
Motion & physicsPhysics-aware simulation to avoid artifactsSmooth motion; strong temporal consistency
Style/lookFlexible—realism to stylized; repeatable looksCinematic realism and polish
Resolution & lengthShort social clips with reports of 1080p+ in some modesCommonly short clips; reports of 1080p+ support
Input modalitiesText prompts, cameo/style conditioningText prompts, image reference
Access & ecosystemOpenAI ecosystem (ChatGPT/Sora App, APIs)Google ecosystem (Gemini/Vertex)
Best forVertical social, teasers, stylized scenesAds, promos, narrative beats needing polish

Notes: Based on public previews; specifics may evolve.

Key capabilities

  • Text-to-video and image-to-video up to social-friendly durations
  • Strong motion realism and scene consistency
  • Controls for aspect ratio and style guidance
  • Good for vertical short-form content

Best for

  • Short promos, story previews, product teasers
  • Vertical 9:16 social posts
  • Stylized scenes with simple camera motion

Workflow on Mivo

Open Generate and choose Sora 2. Write one or two clear sentences that define the subject, action, setting, and camera. Select aspect ratio—9:16 for vertical, 1:1 for feed, 16:9 for widescreen—and start with short durations to iterate quickly.

Preview the result and adjust a single variable—camera move, lighting, or mood—between attempts. When the look is consistent, render a final take and either publish to your Mivo profile or download for external editing.

Prompt guidance

Mention camera movement and framing so the model knows how to compose the shot. Add time of day and lighting for mood, and keep style descriptors brief. For image‑to‑video, state what must remain consistent: subject identity, color palette, or composition.

Concise prompts produce more stable results. Focus on one subject and one action per clip. Use concrete nouns and reserve vivid adjectives for the elements that define the look.

FAQs

What is Sora 2?
Sora 2 is a next‑gen AI model for text‑to‑video and image‑to‑video. It turns prompts or reference images into cinematic clips with realistic motion and stable physics.
What can I create with Sora 2 on Mivo?
Short social videos, product teasers, narrative shots, explainer clips, and stylized animations in both portrait and landscape ratios.
How do I start?
Open Generate in Mivo, choose Sora 2, write a concise prompt (subject, action, setting, camera, mood), select aspect ratio and length, then iterate until it matches your concept.
Does Sora 2 support 9:16 vertical?
Yes. 9:16 is ideal for TikTok and Instagram Reels. For YouTube, select 16:9; for square feeds, pick 1:1.
Text‑to‑video vs Image‑to‑video—when to use which?
Use text‑to‑video for ideation and story beats. Use image‑to‑video when you must preserve brand identity, composition, or character details.
How long should clips be?
Start with 8–12 seconds for fast iteration. Use 15 seconds when you already like the framing, motion, and style.
Any prompt tips for better control?
Keep one action per clip, specify camera movement and shot type, and use concrete nouns with 1–2 vivid adjectives.
Can I publish directly to my profile?
Yes. After you are satisfied, publish your clip to collect donations from fans, or download for external editing.

Recommended settings

Choose the aspect ratio based on destination: 9:16 for vertical social, 1:1 for feed, and 16:9 for widescreen. Start with 8–12 seconds to iterate faster; extend only after you like the framing and motion.

Use brief style hints instead of long lists, and guide motion with a single camera move per clip—pan, dolly‑in, or crane up. This keeps results stable and easier to reproduce.

Prompt blueprints

Product teaser (vertical)

Close-up of [product] on a table, soft morning light, slow dolly-in, depth of field, minimalist studio, high contrast, modern, 9:16.

Narrative shot

[Character] walks through a neon-lit alley in the rain, reflective puddles, medium-wide shot, steady cam, 1980s cyberpunk vibe, 9:16.

Image-to-video

Animate the provided image, keep subject identity, preserve lighting and color palette, add subtle camera parallax, 9:16.

Best practices

Lead with the subject and action. Then add the setting and camera so the model composes the frame correctly. Use concrete nouns and a couple of vivid adjectives to communicate look without causing drift.

Iterate with intent: change one variable at a time. For series work, keep a short prompt skeleton and swap nouns to maintain tone and physics across multiple clips.