JianYing Hub is a one-stop AI video creation entry point on the JianYing (CapCut China) PC client. It connects generation and editing: generate assets with text-to-image, plan content with a storyboard script, link images to the script so the system auto-fills characters, props and scenes, then batch-produce storyboard prompts. Next pick models such as Seedance 2.5 to generate each storyboard clip, preview the assembled video, and jump straight into the JianYing multi-track timeline for refinement. This hands-on SOP follows the official 14-step onboarding path from the "should you use it" decision to multi-track refinement, without ever leaving JianYing. Pricing, free quota, concurrency, credit rules, regions, per-clip duration, export resolution and storyboard count limits are all unpublished by the vendor; treat the official site and the actual client interface as the source of truth, and this article invents no numbers. Launch timing is reported by QbitAI on 9-21 (a second-hand account).
Should you use JianYing Hub
Before the steps, a cold shower: JianYing Hub is not everyone's cure. It puts generation and editing in one workspace. The value is the closed loop and fewer app switches; the cost is binding to the ByteDance ecosystem and sending data to the cloud. This site's hard rule first: this article covers only JianYing Hub practice, and does not repeat the short-video script SOP or the open-source editing workflow SOP.
Use it when:
First, you need a complete chain from raw assets to a publishable video. For example, an e-commerce ad that goes from product image to storyboard script, video generation, preview assembly, then local color changes and refinement, all inside one interface.
Second, you want to batch-produce the same storyboard. One product needs multiple scripts, aspect ratios and storyboard versions for A/B testing; the asset manager plus batch storyboard prompts fit exactly.
Third, you hate exporting and re-importing across many apps. Planning, generation, editing and revision all live in one flow, skipping format conversion and version drift.
Do not use it when:
First, you only need one generated clip. If the need is just turning a script line into a video segment, a pure generation tool is enough; do not pull in a full workspace.
Second, you need fine multi-camera editing. Complex multi-camera refinement still relies on JianYing's own professional timeline; this article does not claim it replaces a professional editing suite.
Third, your assets and data must stay local and never enter the cloud. Hub is a cloud workspace and cannot meet that compliance bar.
Fourth, your budget needs precise, predictable costs. Pricing and quota are unpublished, so no number can be given here.
Special note: if your core need is data staying in-domain or avoiding lock-in to one ecosystem, look at the open-source route instead of this closed-source commercial product.
Preparation and entry
Entry: open the JianYing PC client and click into "JianYing Hub" from the home page. Menu paths and button labels follow the actual client interface and may shift across versions.
Account and asset source: JianYing Hub connects to the ByteDance asset chain. Material you previously generated on Jimeng, Xiaoyunque and other platforms while logged in with your JianYing account imports with one click inside Hub, so assets already built inside the ByteDance ecosystem need no re-upload.
Before you start, confirm two things: you are logged in with the same JianYing account, or Jimeng and Xiaoyunque material will not import with one click; and you know which images are local versus cloud, to avoid version and font mismatches later.
From assets to script (steps 1 to 4)
This segment covers official steps 1 to 4: enter, generate key assets, generate the storyboard script, and link assets to the script. The full motion map follows.
Onboarding path map:
| Phase | Official step | What you do in JianYing Hub |
|---|---|---|
| Enter | Step 1: open JianYing PC client, click into "JianYing Hub" from home | Open the client and enter the Hub workspace from home |
| Generate assets | Step 2: use Seedream and similar models to generate product images, characters or scenes | Call Seedream and similar models to produce core visual assets |
| Storyboard script | Step 3: click "Storyboard Script", enter the content direction, AI outputs the script | Describe the ad direction and get a script with storyboard structure |
| Link context | Step 4: connect the image and storyboard script modules to build a unified creation link | Connect asset modules to the script module to form one creation context |
Practical notes:
Step 2: generate product images, characters, props and scenes with Seedream and similar models. The official wording is "Seedream and similar models", meaning more than one; exact choices follow the client interface. This produces the visual base for later storyboards, so generate the subject, characters and key scenes up front.
Step 3: click "Storyboard Script" and enter your content direction, for example "a thirty-second talking-head that pushes a black coffee cup and stresses heat retention and texture". The AI returns a fairly professional script with storyboard structure. Script quality tracks how specific your direction is.
Step 4: connect the generated images to the storyboard script module to build a unified creation link. This step is often skipped, yet it decides whether the asset manager recognizes your characters, props and scenes, and is the premise for clean batch output.
Assets and storyboard prompts (steps 5 to 6)
This segment covers official steps 5 and 6: generate assets, generate storyboard prompts.
Step 5: enter "Asset Management" and let the AI auto-fill characters, props and scenes into a consistent library. Consistency is the key: the same character must look identical across storyboards, which depends on the locked character and prop in asset management.
Step 6: click "Generate Storyboard Prompts" to batch-produce reference images and prompts for each storyboard. This is the core switch for batch output: one pass creates reference images and prompts for many storyboards, so later clips are not typed one by one.
Two copy-ready templates follow.
Product ad storyboard prompt template:
Product: <fill product name, e.g. black insulated coffee cup>
Selling points: <fill 2 to 3 core points, e.g. 12-hour heat retention, matte texture, anti-scald handle>
Scene: <fill usage scene, e.g. morning desk, weekend cafe>
Character: <fill on-screen person, e.g. 25 to 35 pro woman, light clothing>
Shot: <fill shot size and action per storyboard, e.g. board 1 wide product reveal, board 2 close-up pour>
Style: <fill visual tone, e.g. bright e-commerce, low-saturation premium>
Output: for each storyboard generate one reference image and one prompt usable as video generation inputTalking-head short-video storyboard prompt template:
Topic: <fill this episode topic, e.g. pick an AI video workspace in three minutes>
Audience: <fill target viewers, e.g. China tech practitioners, small business owners>
Duration: <fill target length, e.g. 60 seconds>
Structure: <fill talking-head structure, e.g. open with a question, give method, end with a follow call>
Character: <fill host description, e.g. real person, neutral clothing, clean background>
Subtitle: <fill whether subtitles needed and language, e.g. Chinese hard subtitles>
Output: for each storyboard generate one reference image and one prompt, the prompt must include character consistency and talking-head pacing cuesUsage note: the more specific the blank slots, the closer the output matches your real need.
Generation and assembly (steps 7 to 9)
This segment covers official steps 7 to 9: generate clips, preview assembly, enter multi-track editing.
Step 7: pick Seedance 2.5 and similar models to generate each storyboard clip separately. The official wording is "Seedance 2.5 and similar models"; exact choices and limits follow the client interface. Generating per storyboard lets you re-generate one shot without touching others.
Step 8: click "Preview Assembly" to view the auto-stitched full video. This validates storyboard rhythm and overall feel; if a segment is off, re-generate just that storyboard.
Step 9: click "More Editing" to jump from Hub into the JianYing multi-track timeline. This is the core value: the generation result is not exported and re-imported but enters multi-track editing in the same project, with assets, storyboards and timeline connected, removing the format conversion and version drift that plague app-hopping.
Refinement (steps 10 to 12)
This segment covers official steps 10 to 12: local edit, AI smart extend, AI post-editing.
Step 10: local frame edit. Select a clip and use "Local Edit" to change a specified element. The official example turns a cup black: box the cup body, instruct "become black", and only that part changes. It is a sharp detail tool, but too large a change may break edges or lighting.
Step 11: AI smart extend. Lengthen a shot on demand, either with one click or by entering a specific request such as "extend this showcase shot to five seconds". Use it when a storyboard feels rushed.
Step 12: AI post-editing. In "AI Edit" complete super-resolution, frame interpolation, color grading, AI erase and vocal separation. These cover the last mile of quality: super-resolution lifts clarity, frame interpolation smooths motion, color grading unifies the look, AI erase removes stray objects, and vocal separation splits voice from background for easier mixing.
Agent and ByteDance asset import (steps 13 to 14)
This segment covers official steps 13 and 14: use the JianYing assistant, import ByteDance assets.
Step 13: use the JianYing assistant. Wake "JianYing Assistant" and call skills such as clip talking-head, narration, subtitle correction and batch rendering with text. For example, say "cut the filler from this talking-head and redo the subtitles" and the assistant runs the skill while you guard content and compliance. The Agent stacks on the existing timeline, so earlier refinement stays usable.
Step 14: import ByteDance assets. When material comes from Jimeng or Xiaoyunque, log in with your JianYing account and import with one click. Note you still need the same JianYing account, otherwise one-click import will not work.
Batch production
JianYing Hub pays off most in batch. Three reusable methods follow.
Method one, derive multiple versions of one product for A/B. Using the template above, change only the "Selling points" or "Scene" field to quickly generate multiple storyboard prompt sets, then generate each video. One product yields multi-script, multi-ratio and multi-storyboard versions ready for A/B testing.
Method two, talking-head batch pipeline. Hand "cut talking-head, clear filler, fix subtitles" to the assistant Agent; the human only guards content accuracy and compliance. Templated topics plus Agent execution let one pipeline output many episodes for daily or weekly columns.
Method three, aspect-ratio and platform adaptation. Derive Douyin vertical, Channels square and Bilibili horizontal variants from one storyboard structure, cutting rework for different ratios.
Whichever method, keep final human control: Agent-changed subtitles need proper-noun review, and batch renders need spot checks on rhythm and copyright.
Pre-launch checklist and pitfalls
Pre-launch checklist (verify each):
- Rhythm: is each storyboard length right, and does the whole flow feel smooth.
- Subtitle typos and proper nouns: AI-changed subtitles especially need human review of brand names, people names and terms.
- Asset copyright and portrait rights: are on-screen people, music and fonts licensed.
- Platform compliance: different platforms have different rules for ads, medical and finance categories; check against the target platform.
- Watermarks and brand exposure: does the render carry unwanted platform watermarks or competitor logos.
- Data and account permissions: confirm the JianYing account permissions in use, and whether the ByteDance asset import account matches.
Pitfall quick reference (each pit gets a fix):
| Pit | Symptom | Fix |
|---|---|---|
| Output drifts from script | Video storyboards disagree with the script | Give enough direction in step 3, and always link in step 4 so assets and script share one source |
| Local edit fails or breaks consistency | Boxed edit does nothing, or edges break after edit | Keep changes small, prefer solid color regions; after edit check edges and lighting frame by frame |
| Audio-video desync after AI extend | Extended segment picture and original audio mismatch | Separate voice before extending, re-align after; avoid large extends on talking-head clips |
| Subtitle correction needs human review of proper nouns | Brand or people names changed wrongly by AI | Always human-proof after subtitle correction; keep a proper-noun checklist |
| Version or font mismatch after import | Jimeng import clashes with local image style | Unify account and asset version before import, unify font and color after import |
| Over-reliance on auto-assembly makes rhythm stiff | Preview feels flat with no dynamics | After step 9 enter multi-track and tune rhythm manually, add transitions and breathing room on key boards |
FAQ
Q1: Is JianYing Hub free, and is there a free quota or concurrency limit? A1: Pricing, free quota, concurrency limit and credit rules are all unpublished by the vendor. Whether it charges, concurrency and credit math all follow the official site and the actual client interface; this article invents no numbers. Check your account's entitlements in the client first.
Q2: Is JianYing Hub open source, and can it be deployed privately on premises? A2: JianYing Hub is a closed-source commercial product, not open-source software, and this article claims neither open source nor free. For data staying in-domain or avoiding lock-in, take the open-source route; see the open-source editing workflow SOP.
Q3: What are the per-clip duration limit, storyboard count limit and export resolution limit? A3: These specific numbers are unpublished by the vendor and follow the official site and the actual client interface; this article does not assume them for you.
Q4: How is JianYing Hub different from Jimeng AI, and which should I pick? A4: Per the source-party account (not retested by this site), Hub leans toward a "generation plus editing plus post" loop with strong editing and Agent, while Jimeng leans toward asset generation. For planning through revision in one flow pick Hub; for good assets first then edit, Jimeng fits.
Q5: When did it launch, and how do ByteDance assets import? A5: Launch timing is reported by QbitAI on 9-21 (second-hand); the exact date follows official announcements. ByteDance assets import with one click when logged in with the same JianYing account.
Same-batch internal links (paired across the four articles this batch):
- Hotspot: JianYing Hub launch
- Open source: OpenCreator open-source workspace
- Comparison: Five AI video workspaces compared
Sources
- AI-Bot.cn index page (citing QbitAI as the original source): JianYing Hub positioning, nine core features, 14-step onboarding path, official competitor framing
- JianYing official site and client: menu paths, button labels, pricing and quota are unpublished and follow the actual interface