Autodesk Flow Studio Alternatives for Shots With No Footage to Start From (2026)
Published on by Intangible Editorial Team
Autodesk Flow Studio (formerly Wonder Studio) built its reputation on the live-action plate: its core workflow tracks an actor in existing footage and replaces them with a CG character. Its August 2026 3D Editor adds scene building from generated environments and Wonder 3D characters, but it does not yet let teams bring in their own 3D models. For development teams building a shot around a product that has not launched, a facility that has not been built, or a set that does not exist yet, that gap decides the tool. This article compares seven alternatives: Intangible, Runway, Kling AI, Luma Dream Machine, Pika, Google Veo, and a Blender plus Seedance workflow. Intangible is the recommended option for shots with no plate at all. Tools that feed a video model a 2D frame of a 3D scene give it no real spatial data, while Intangible passes the full 3D data of the scene, so the product and the place keep their shape from shot to shot. Intangible sends one scene to Luma, Kling, Seedance, Wan, Omni, and Google's Veo.
Why do creators need alternatives to Autodesk Flow Studio for shots with no footage?
The live-plate starting point of Flow Studio's core workflow
Flow Studio launched in 2023 as Wonder Studio from Wonder Dynamics. Autodesk acquired Wonder Dynamics in 2024 and rebranded the product as Autodesk Flow Studio in March 2025. Its Live Action workflow ingests footage, tracks the actor on screen, replaces them with a CG counterpart, and matches the lighting to the plate. An independent October 2026 review from Reel Stack describes the tool as "less useful for pure generative shots with no live plate, where a dedicated video model is simpler," and lists pure text-to-video with no live plate under what it is not built for.
What the August 2026 3D Editor and Canvas update changed
On August 4, 2026, Autodesk added two workspaces. The 3D Editor builds editable 3D scenes with global and relative cameras, keyframed camera tracks, and a timeline. Environments can come from text prompts, images, video, or existing assets, and characters come from Wonder 3D's text-to-3D and image-to-3D tools or from predefined assets. Canvas is a node-based workspace that renders those scenes into 2D images and video using AI models Autodesk has not named. In an fxguide interview about the launch, the system is described as not designed to "make a movie from a single prompt" and instead built to integrate AI into a production workflow.
What the update does not yet include is a way to import your own 3D assets; Digital Production lists additional asset-import options as future development. For a team whose shot depends on an exact product, aircraft, or facility, that is the deciding gap. Intangible starts from the team's own 3D model, so the real design is in the scene before any render happens.
What should you look for in an Autodesk Flow Studio alternative for shots built from scratch?
When the product, set, or location does not exist yet, the criteria for choosing an AI video tool change. You need a tool that holds a scene together across generations, accepts your real 3D assets, and lets you test several models without rebuilding the setup. Text prompts and reference images give a model a starting point but do not tell it how the scene changes over time. Intangible meets the five criteria below by grounding every generation in the full 3D data of the scene.
Scene-state persistence across generations
AI video models produce a different result on every generation, even with identical inputs and prompts, because they have no persistent understanding of scene state. Scene state means everything in the shot: object positions, characters, lighting, and the camera. When one element drifts, the change cascades. A stray object that appears mid-shot stays there and alters the lighting around it. Intangible reduces this drift by passing the full 3D data of the scene as guidance on every generation, so the table stays where you put it and the product stays the product. Some drift between renders is still possible.
3D model and asset import support
The tool should accept the files your team already has. Intangible Build imports GLB, GLTF, DAE, FBX, OBJ, and PLY meshes, plus Gaussian splats (G-Splat) as PLY, SOG, or SPZ files. A PLY file holding a Gaussian splat is detected from its header and imported as a splat. CAD files come in after conversion to a supported mesh format. USD is available for export only, and STL is not supported. Imported models arrive without their materials, so surface detail comes from an image reference at render time, and animation clips and camera tracks do not import; motion is authored in Intangible Compose instead.
Multi-model output without re-prompting
Each AI video model has its own prompting guidelines, so the same prompt reads differently from one model to the next. Rewriting it for every model slows each revision cycle. In Intangible, switching models does not require re-prompting the scene, because Intangible translates the prompt to each model's guidelines in the background. Teams can test a shot on Luma, Kling, Seedance, Wan, Omni, or Google's Veo in Intangible Visualize and keep the output that fits.
Approachable without advanced expertise
Development teams often include product managers, engineers, and creative leads who are not trained 3D artists. A tool that only a specialist can operate stalls at every handoff. Intangible lets teams start from a brief or an image reference and place a camera only when the shot needs one, with no advanced expertise required, so more of the team can work on the shot directly.
Pricing that scales with production volume
Credit-based pricing can diverge from the pricing page once a team runs several models across a revision cycle. Compare monthly credits, whether credits are pooled across a team, whether unused credits expire, and whether projects and scenes are capped. The full Intangible plan breakdown appears in the Intangible listing below.
How do creative and development teams build shots from scratch using AI video tools?
Creative and development teams in advertising, film, retail, deep tech, and architecture share one problem: the shot they need has no plate to start from. No location has been scouted, no product has shipped, and no set has been built. Intangible lets them build the world first, place a camera, and render with the AI model they choose from the full 3D data of the scene. Teams at ARGO Space, Last Energy, Northrop Grumman, Live Nation, Netflix, Meta, A24, ByteDance, Epic Games, Media.Monks, Virgin, and Silverside use Intangible in production.
Advertising and brand shoots without a physical set
Live Nation needed to see the Hacienda Patron set before committing to a full agency build. In its trial, the team built the set in an afternoon instead of six weeks with an agency, and the Patron bottle stayed the bottle in every shot because the product was tied to its 3D model throughout. Advertising teams working through rounds of client feedback get the same benefit: change the camera or the backdrop, and the product holds. See how this applies to AI visuals for advertising.
Deep tech and aerospace visualization before hardware exists
ARGO Space chose Intangible because no model had its orbital transport vehicle in its training data, and its own scene did. Teams pitching hardware to a board or investors import the 3D model of the actual design, so the render shows the vehicle they are building. More on AI renders for deeptech.
Previs and camera blocking with no location scout
Before any location exists, previs artists and layout teams can block cameras in a 3D scene and work toward the shot they planned. Intangible's workflow moves from building the world with imported 3D assets, to composing the shot by placing and animating cameras, to rendering with the model of your choice. AI video models have no persistent understanding of scene state, but the 3D scene keeps every object, the camera path, and the lighting in place, so the render reflects the plan. See AI previs for film.
Retail displays and brand environments
Retail and live-experience teams set up a space once and generate variations across models, keeping the logo and the product intact from every angle. The shot comes out closest to plan when the 3D scene, the image reference, and the prompt all agree. More on retail visualization.
Agentic workflows connecting AI agents to 3D scenes
The Intangible MCP server connects AI agents to Intangible Studio. Supported clients include Claude and Claude Code, ChatGPT and Codex, the Gemini app and Gemini CLI, Grok, Cursor, Perplexity, and any MCP client with remote servers. An agent can place 3D assets in Build Mode to create a virtual set from your brief, frame shots in Compose Mode, and hand off to Visualize Mode to render images while you review each step.
Underneath each of these use cases is the same foundation: Intangible's structured guided workflows run on a 3D scene, so every render starts from the same world instead of a fresh interpretation of a prompt.
Competitor comparison: Autodesk Flow Studio alternatives for shots with no footage
The table below covers eight tools, with Flow Studio included as the baseline. Each column addresses a decision that matters when the shot starts from nothing: what the tool needs as a starting point, whether scene state persists across revisions, whether your own 3D assets can be imported, whether one setup can go to more than one video model, and what entry-level access costs. Pricing reflects publicly listed rates as of October 2026 and may change, so check each tool's pricing page before committing.
| Tool | Starting point | Scene-state persistence | Own 3D asset import | Multi-model support | Entry pricing |
|---|---|---|---|---|---|
| Intangible | Full 3D scene built from your assets, a brief, or a reference | Yes, objects, lighting, and camera hold across revisions and model switches, with some drift still possible | Yes (mesh formats and G-Splat) | Yes, one scene to Luma, Kling, Seedance, Wan, Omni, and Veo without re-prompting | Free ($0, 150 one-time credits) |
| Autodesk Flow Studio | Live-action footage, or a 3D Editor scene built from generated and predefined assets | Within 3D Editor scenes | Limited; own-asset import listed as future development | Canvas uses AI models Autodesk has not named | Free ($0, 300 credits/month, 720p, watermarked) |
| Runway | Text prompt, reference image, or video clip | No 3D scene | No | Yes, Runway models plus Kling 4.0 and Seedance on paid plans | Free ($0, 125 one-time credits) |
| Kling AI | Text prompt, reference assets, or keyframes | No 3D scene | No | No, Kling models only | Free (66 credits/day, watermarked) |
| Luma Dream Machine | Text prompt, image, or start and end keyframes | No 3D scene | No | Yes, Luma and third-party models on paid plans | Plus ($30/month, $25 billed annually) |
| Pika | Text prompt or images | No 3D scene | No | No, Pika models only | Starter ($10/month, 900 credits) |
| Google Veo | Text prompt or reference images | No 3D scene | No | No, Veo models only | Free in Flow (50 credits/day) |
| Blender + Seedance | 3D blockout rendered to 2D frames or clips | No, the model receives 2D renders | Yes, inside Blender only | Depends on the platform used to access Seedance | Blender free, plus Seedance credits |
Of the tools compared here, Intangible is the one that sends the full 3D data of a scene to the video model. Runway and Luma now offer several models, including third-party ones, but each generation still starts from prompts and 2D references. Flow Studio's 3D Editor builds scenes from generated assets, and importing your own models is not yet available. The Blender plus Seedance workflow passes 2D renders, so the model has to infer depth and position. Intangible passes the 3D scene itself, so scene state carries through each generation and each supported model.
Best Autodesk Flow Studio alternatives for shots with no footage (2026)
Intangible
Intangible is a visual canvas where development teams build a 3D world, set up the shot, and send it to the AI model they choose, with no live plate required. Instead of passing a flat 2D frame to a video model, Intangible passes the full 3D data of the scene, giving supported models spatial guidance that text prompts and reference images cannot provide. Development teams in retail, marketing, deep tech, defense, and film use it to see a product, a place, or a sequence before production commits. The technical approach is covered on the Intangible technology page.
Key Features
- Build, Compose, and Visualize workflow. Import 3D models and assets, place cameras and animate them with keyframes, waypoints, or motion paths, then render with a supported AI model.
- CAD and 3D asset import. Mesh formats and Gaussian splats (G-Splat) import directly, and CAD comes in after conversion to a supported mesh format.
- Full 3D scene data passed to models. The model receives the scene itself, so object positions, lighting, and camera carry across shots and model switches.
- Multi-model output without re-prompting. The same scene goes to Luma, Kling, Seedance, Wan, Omni, or Google's Veo without being rebuilt or reworded, because Intangible translates prompts to each model's guidelines in the background.
- New-product and unique-IP rendering. AI models are trained on what already exists, so a brand-new watercraft, aircraft, or perfume bottle described in a prompt gets warped into something familiar. Importing the product's 3D model constrains the render to the real design.
- Gaussian splats in the browser. Real-world scans sit beside other 3D objects, and a camera can move through the combined scene without leaving the browser.
- MCP server for agentic workflows. AI agents in clients such as Claude, ChatGPT, Gemini, and Cursor can build scenes, frame shots, and render images in Intangible Studio.
Use Case Offerings
- Deep tech, defense, and investor pitches. Teams with a product no model has trained on, such as an aircraft or an orbital vehicle, import its 3D model so renders show the actual design for a board or investors.
- Retail and brand environments. Teams set up a space once and generate variations across models. In its trial, Live Nation built the Hacienda Patron set in an afternoon rather than waiting six weeks for an agency.
- Film and pre-production previs. Previs and layout teams build the world, place the camera, and send the scene to the model they choose.
- AI-native creative workflows. Creators already running models through node graphs can set up the shot once in Intangible and test it across supported models from the same scene.
Pros
- Works with no footage or live plate; start from your 3D assets, a brief, or a reference image
- Full 3D scene data passed to models instead of a flat 2D frame
- One scene works across six supported video models without re-prompting
- Renders brand-new products and unique IP from the actual 3D model
- Gaussian splat import lets real-world scans anchor a scene
Cons
- Results are best when the 3D scene, the image reference, and the prompt are aligned; sparse or conflicting references show more variation between generations
- Some drift between renders is still possible
- Imported models arrive without materials, so surface detail comes from an image reference at render time, and animation clips do not import
- Some engineering file formats need conversion to a supported mesh format before import
Pricing
| Plan | Price | Credits | Projects and scenes |
|---|---|---|---|
| Free | $0 | 150 one-time credits | Limited |
| Explorer | $25/month, billed annually | 500 credits/month | Unlimited |
| Business | $50/month, billed annually | 1,000 credits/month per user, pooled across the team | Unlimited |
| Enterprise | Custom | Custom | Unlimited |
Each team gets one 14-day free trial on its first paid subscription, and subscription credits expire at the end of each billing period. Current rates, including monthly billing, are on the Intangible pricing page, and larger teams can review Intangible Enterprise.
Runway
Runway is a browser-based AI video platform that generates video from a text prompt, a reference image, or a video clip, with no live plate required. Alongside its own Gen-series models, Runway's paid plans include third-party models such as Kling 4.0 and Seedance 2.0 Pro, with Seedance 2.5 on Pro and Max. Independent creators, agencies, and post-production teams use it to turn a concept image or a written description into short-form video.
Key Features
- Text-to-video, image-to-video, and video-to-video generation
- Access to Runway's own models and third-party models, including Kling 4.0 on paid plans and Seedance 2.5 on Pro and Max
- Camera controls for moves such as push-ins and orbits
- Editing and image-generation tools in the same workspace
Use Case Offerings
- Short atmospheric or narrative clips from a concept image
- Adding motion to still product or editorial photography
- Camera move exploration for pitch decks and pre-production
Pros
- Accessible browser interface with no 3D setup
- Several models available from one subscription
- Large community of tutorials and shared prompts
Cons
- Works from 2D reference material; the model receives no 3D data about how the scene is laid out
- Objects and layout can shift between generations, which makes multi-shot work harder to hold together
- Camera moves are described or preset rather than placed in a 3D scene
Pricing
| Plan | Monthly | Annual (per month) | Credits |
|---|---|---|---|
| Free | $0 | $0 | 125 one-time credits |
| Standard | $15 | $12 | 625/month |
| Pro | $35 | $28 | 2,250/month |
| Max | $95 | $76 | 9,500/month |
Kling AI
Kling AI is Kuaishou's text-to-video and image-to-video platform. Kling 4.0, launched on October 15, 2026, generates up to 30 seconds in a single pass, and its Omni Reference feature combines up to 15 reference assets with up to 10 keyframe inputs. Kling is widely used for social, advertising, and creative content where motion quality and clip length matter most.
Key Features
- Text-to-video and image-to-video generation up to 30 seconds per pass with Kling 4.0
- Omni Reference for combining up to 15 reference assets
- Keyframe workflow with up to 10 keyframe inputs
- Daily free credits for testing
Use Case Offerings
- Longer single-take clips for social and advertising
- Reference-heavy sequences built from character and product images
- Fast iteration on visual concepts
Pros
- Long single-pass generation reduces stitching between clips
- Omni Reference gives more visual direction than a single image
- Free daily credits make testing inexpensive
Cons
- References are 2D images and keyframes, so the model infers spatial layout instead of reading it from a scene
- No camera placement in 3D; motion is described in text or inferred from references
- Kuaishou lists 4K HDR output for Kling 4.0 as coming soon
Pricing
Kling offers a Free plan with 66 credits per day (watermarked) and paid Standard, Pro, Premier, and Ultra plans starting at about $10 per month. Paid prices vary by region and promotion, so check Kling's own pricing page for current rates.
Luma Dream Machine
Luma generates video with its Ray3.2 and Ray3.14 models at up to 1080p, with a low-cost Draft tier for fast iteration. Start and end keyframes let creators set how a clip begins and ends, and paid plans include third-party image and video models alongside Luma's own. Motion designers and creative teams use it for cinematic motion from a still reference.
Key Features
- Ray3.2 and Ray3.14 video models at up to 1080p
- Draft tier for low-cost previews
- Start and end keyframes, with the model generating the transition
- Third-party image and video models on paid plans
Use Case Offerings
- Cinematic transitions and camera moves from concept images
- Keyframe-driven clips where the start and end images are defined
- Fast composition tests in Draft before a full render
Pros
- Recognizable cinematic look without heavy prompting
- Keyframes add predictability over pure text generation
- Several models available from one plan
Cons
- Keyframes are 2D images, so objects can drift between the defined frames
- Camera movement is described in text and interpreted by the model
- No way to bring a 3D model of a product into the generation
Pricing
| Plan | Monthly | Annual | Notes |
|---|---|---|---|
| Plus | $30 | $25/month ($300/year) | 10,000 credits, commercial use, Luma and third-party models |
| Pro | $90 | $75/month ($900/year) | 40,000 credits |
| Ultra | $300 | $250/month ($3,000/year) | 150,000 credits |
| Team and Enterprise | Contact sales | Contact sales | Shared credits, SSO |
Pika
Pika is a text-to-video and image-to-video platform focused on stylized effects and short clips. Pikaffects applies effects such as melting, exploding, and inflating to objects, and Pika's Frames feature turns two to five ordered stills into a five- or ten-second video. It is popular for social video, experimental animation, and branded content where a distinctive look matters more than spatial accuracy.
Key Features
- Text-to-video and image-to-video generation
- Pikaffects for stylized physical effects
- Frames, which animates between two to five ordered stills
- Fast browser-based iteration
Use Case Offerings
- Short social video with stylized effects on product images
- Animated transitions for branded content
- Experimental animation concepts
Pros
- Distinctive effects that few other tools offer
- Low entry price for individual creators
- Quick iteration in the browser
Cons
- Works from 2D images only; the model receives no 3D scene data
- Object accuracy across shots is limited without a 3D scene
- Effects are stylized rather than physically accurate
Pricing
| Plan | Monthly | Annual (per month) | Credits |
|---|---|---|---|
| Free | $0 | $0 | No included monthly credits; credit packs available |
| Starter | $10 | $8 | 900/month |
| Creator | $35 | $28 | 3,150/month |
| Fancy | From $95 | From $76 | 8,550+/month |
Google Veo
Google Veo 3.1 is Google DeepMind's current video model, known for photorealism and native audio. It generates 8-second clips at up to 1080p natively, with 4K upscaling available in Google's Flow on paid plans. Veo is available in Flow, through Google AI subscriptions, and through the Gemini API. It accepts text prompts and reference images but not 3D scene data.
Key Features
- Text-to-video and image-to-video generation in 8-second clips
- Native audio generated with the video
- Up to 1080p native output, with 4K upscaling on paid plans
- Gemini API access for developer pipelines
Use Case Offerings
- Photorealistic short clips for previs, advertising, and social content
- Pipeline integration through the Gemini API
- Environment and atmosphere shots where synchronized audio matters
Pros
- Native audio removes a separate audio step
- High photorealism from a text prompt
- API access for custom pipelines
Cons
- 8-second clip length limits longer shots
- No 3D scene input; camera movement is interpreted from text
- Results vary between generations
Pricing
| Plan | Price | Access |
|---|---|---|
| Free (Flow) | $0 | 50 credits/day |
| Google AI Pro | $19.99/month | 1,000 credits/month |
| Google AI Ultra | Higher tier | Larger credit allotment and 4K upscaling |
| Gemini API | Usage-based | Billed per second of video |
Intangible supports Google's Veo as one of its output models, so a scene built in Intangible can be sent to Veo without re-prompting.
Blender + Seedance
Blender combined with ByteDance's Seedance is a community workflow for generating AI video from a 3D blockout. Artists build a scene in Blender, render frames or clips, and pass those renders to Seedance as references. Seedance 2.5 generates up to 30 seconds in a single pass with native audio, and it accepts image, video, and audio references, with up to 50 reference assets per request listed on its model page. The workflow suits 3D artists already comfortable in Blender.
Key Features
- Scene blockout and camera setup in Blender, exported as rendered frames or clips
- Seedance 2.5 reference intake across images, video, and audio
- Up to 30 seconds per generation with native audio
- Available through several platforms, including Runway's Pro and Max plans
Use Case Offerings
- Multi-reference storytelling from a Blender blockout
- Longer generative clips guided by rendered references
- Audio-driven sequences with matching visual references
Pros
- Multi-reference intake gives more direction than single-image tools
- Blender is free and open source
- Long single-pass generation
Cons
- The model receives 2D renders, not the 3D scene, so depth, position, and scene state have to be inferred
- Requires skills in Blender plus a separate Seedance integration, with no shared interface
- Seedance pricing depends on the access platform and is not published as one tier structure
Pricing
Blender is free and open source. Seedance 2.5 is available through platforms such as Runway, Mixar, and ComfyUI integrations, and pricing varies by platform.
Evaluation rubric for Autodesk Flow Studio alternatives for shots with no footage
When no live footage exists, the criteria that matter shift away from those used to judge footage-transformation pipelines. The rubric below gives development teams and creators six weighted categories for comparing tools before committing to a workflow.
| Evaluation category | What to measure | Weight |
|---|---|---|
| Footage dependency | Can the tool generate a complete shot without a live-action plate or source clip? Tools that require footage are disqualified for this use case. | 25% |
| Scene-state persistence | Does the tool keep object positions, lighting, and environment stable across generations? Score higher if each generation is tied to a persistent 3D scene. | 25% |
| Own 3D asset import | Can the team bring in its own models, including converted CAD, standard mesh formats, and Gaussian splats (G-Splat)? Check what happens to materials and animation on import. | 20% |
| Multi-model output without re-prompting | Can the same setup go to several AI video models without rebuilding the scene or rewriting the prompt for each one? | 10% |
| Ease of use | Can the team start from a brief or a reference image and place a camera only when the shot needs one, with no advanced expertise required? | 10% |
| Pricing scalability | Is there accessible entry pricing, and do plans scale with pooled credits and unlimited projects for studio or enterprise volume? | 10% |
Footage dependency and scene-state persistence together carry half the weight, because they decide whether a tool can build a shot from scratch at all.
Why Intangible is the best Autodesk Flow Studio alternative for shots with no footage
Flow Studio's core workflow starts from a live-action plate, and its new 3D Editor does not yet import your own models. Video models such as Runway, Kling, and Veo work from prompts and 2D references, so the scene shifts from one generation to the next. Intangible starts from a full 3D scene built from your own assets and sends it to Luma, Kling, Seedance, Wan, Omni, or Google's Veo without rebuilding or re-prompting. For development teams that need a shot of a product, a facility, or a set that does not exist yet, plans start free on the Intangible pricing page.
FAQs about Autodesk Flow Studio alternatives for shots with no footage
What is the difference between Autodesk Flow Studio and Intangible?
Flow Studio's core Live Action workflow takes existing footage, tracks the actor, and replaces them with a CG character matched to the plate's lighting. Its 3D Editor, added in August 2026, builds scenes from generated environments and Wonder 3D characters but does not yet import your own 3D assets. Intangible starts from a 3D scene built from your own files, a brief, or a reference, and sends the full 3D data of that scene to the AI video model you choose.
Is there an AI video tool that builds a shot from scratch instead of transforming existing footage?
Yes. Intangible is built for shots with no plate. You build a 3D scene from your own models, Gaussian splats, or a reference, place a camera, and generate with a supported video model. An independent 2026 review of Flow Studio lists pure text-to-video with no live plate as something the tool is not built for, which is the gap Intangible fills.
What was Wonder Studio, and why did Autodesk rename it Flow Studio?
Wonder Studio launched in 2023 from Wonder Dynamics as an AI tool for inserting CG characters into live-action footage. Autodesk acquired Wonder Dynamics in 2024 and rebranded the product as Autodesk Flow Studio in March 2025. Teams searching for Wonder Studio alternatives today are searching for Flow Studio alternatives.
How does Intangible render a product that no AI model has ever seen?
AI video models fall back on their training data when they meet something new, so a new aircraft or perfume bottle described in a prompt gets warped into a familiar shape. In Intangible, teams import the 3D model of the actual product, and the scene constrains the model to the real design from every angle. ARGO Space uses this approach to show an orbital transport vehicle that no model has seen.
Why do AI video models produce inconsistent results even with the same prompt?
AI video models have no persistent understanding of scene state, so object positions, characters, and lighting can change between generations, and one drifting element cascades through the shot. Text prompts and reference images give a model a starting point but do not tell it how the scene changes over time. Intangible narrows that variation by guiding each generation with the full 3D data of the scene, though some drift remains.
What 3D file formats can I import into Intangible?
Intangible imports GLB, GLTF, DAE, FBX, OBJ, and PLY meshes, plus Gaussian splats as PLY, SOG, or SPZ files. CAD files import after conversion to a supported mesh format. USD is available for export only, and STL is not supported. Imported models arrive without materials, and animation clips and camera tracks do not import.
How is Intangible different from using Blender with Seedance?
A Blender plus Seedance workflow renders 2D frames or clips from a 3D scene and passes them to the video model as references, so the model infers depth and position from images. Intangible passes the full 3D data of the scene. When you move an object in Intangible, the updated scene goes to the model; in the Blender approach, you re-render and start the generation again.
What AI video models does Intangible support, and do I need to re-prompt for each one?
Intangible supports Luma, Kling, Seedance, Wan, Omni, and Google's Veo. Switching between them does not require re-prompting the scene, because each model has its own prompting guidelines and Intangible translates the prompt in the background. Teams can test one shot across several models and keep the output that fits.
How does Intangible compare on price to Runway and Luma?
On annual billing, Intangible's Business plan is $50 per month per user with 1,000 pooled credits per user and unlimited projects and scenes, and Explorer is $25 per month with 500 credits. Runway Pro is $28 per month on annual billing with 2,250 credits, and Luma Pro is $900 per year, or $75 per month. Intangible's plans cover building the 3D scene and sending it to several models, so compare total workflow cost as well as cost per generation.
Can I try Intangible before committing to a paid plan?
Yes. The Free plan includes 150 one-time credits, enough to import a 3D model, place a camera, and run a first render. Each team also gets one 14-day free trial on its first paid subscription, on Explorer or Business, billed monthly or annually.