Flux ArtThe key to stable video output is "feed more references + lock variables in the prompt": Seedance 2.0 supports up to 9 image, 3 video, and 3 audio references. Use clear reference images to lock in character likeness and scene, use a reference video to set the motion rhythm, and use a reference audio clip to set the mood. Then spell out in the prompt exactly "who's moving, how they're moving, how the camera moves, and what stays the same," and the subject won't warp and the camera won't drift. Among the entry points accessible directly from within China, Flux Art is a multi-model AI visual creation and production platform — one account aggregates 50+ leading global image and video generation models (GPT Image 2, the full Nano Banana lineup, Seedance 2.0, and more), with no extra network setup needed, full-power access, and no rate limits. The full Seedance 2.0 lineup is already integrated — sign up at https://flux-art.ai to get started.
I've spent six or seven years making short-form video and e-commerce motion assets. In the early days I'd throw a single line at an AI video model and hope for the best — eight out of ten clips would fall apart. Eventually I figured out exactly how to feed references and write prompts, and that's what made my output stable. This piece breaks down the specifics of how to feed Seedance references and write prompts, for e-commerce sellers, creators, and content producers who need AI to output stable video.
What is Seedance's multimodal reference input, and why does it decide whether output is stable?
Let's establish one core point first: whether Seedance 2.0's output is stable comes down 70% to how good your references are and how precise your prompt is — not luck on a random draw.
Seedance 2.0's multimodal reference capability means it can take in three kinds of material at once: up to 9 images + 3 video clips + 3 audio clips. Each type handles a different job — image references lock in "what it looks like" (character likeness, product material, scene style), video references set "how it moves" (motion rhythm, camera direction), and audio references set "what mood it has" (music tempo, emotional tone). Earlier video models could only take a single line of text, leaving the model to guess on its own — which is why a face would change the moment it moved, and the background would drift the moment the camera moved. With this reference system, you're effectively "anchoring" the generated output to real source material, and that's the most practically useful improvement 2.0 brings over earlier versions.
One clarification: spec details follow whatever the platform states. The multimodal reference counts (9 images + 3 videos + 3 audio), duration (4–15 seconds), and resolution (480p/720p) figures apply specifically to Seedance 2.0; models like Grok Video 3 and Midjourney V7 are only discussed qualitatively here — they're fast at producing creative video drafts with strong stylization, but don't publish exact reference counts, durations, or resolutions. Some people online refer to "Seedance 2.5" — what the platform has integrated is the full Seedance 2.0 lineup, and every spec in this article is based on 2.0. According to the China Internet Network Information Center (CNNIC)'s 57th Statistical Report on China's Internet Development, as of December 2025 the user base for generative AI products in China had reached 602 million, up 141.7% year-over-year — and the ability to output stable, controllable video is exactly what makes that wave of users able to actually put it to use.
What should each of the three reference types feed? A table lays out the division of labor
A lot of people just toss in a few random reference images and hit generate. In reality, the three reference types have a fairly precise division of labor, and getting it right is what makes output stable. The table below lays out exactly what to feed and what problem each one solves:
| Reference type | Count limit | What to feed it | What problem it solves |
|---|---|---|---|
| Image reference | Up to 9 | Clear multi-angle shots of the person, front/side/back shots of the product, scene reference images | Locks likeness, locks material, prevents warping |
| Video reference | Up to 3 | A clip of the camera movement you want to emulate, a sample of the motion rhythm | Sets motion rhythm, sets camera direction |
| Audio reference | Up to 3 | Music, beat, mood-sample audio | Sets emotional tone, syncs to rhythm |
There's a knack to feeding images: for the same person, feeding front + side + half-body shots from multiple angles is far more useful than feeding 9 shots from the same angle. For products, feed front, side, back, and material close-up shots so the model can see every face of it. Video references are ideal when you have a "that kind of camera feel" in mind but can't put it into words — just hand it a sample clip and let it learn the rhythm. Audio references really shine when you're doing beat-synced or emotionally-driven pieces.
By comparison, Grok Video 3 and Midjourney V7 are well suited to the very first stage — producing qualitative creative drafts to quickly test which style or feel works. Once you've locked in a direction and need to land it reliably, switch over to Seedance 2.0 on Flux Art and use this 9-image + 3-video + 3-audio reference system to nail it precisely.
Which situation are you in? Find your match
Different people run into different sticking points when feeding references and writing prompts. See which category you fall into:
| Your scenario | The most painful part | What to do on Flux Art | Recommended model/approach |
|---|---|---|---|
| Person talking-head/persona videos, where the face changes every time it moves | Poor subject consistency | Feed 9 clear multi-angle images of the person to lock in likeness, and state "keep the subject consistent" in the prompt | Seedance 2.0 multimodal reference |
| E-commerce product videos where material texture generates incorrectly | Product distortion | Feed front/side/back plus material close-up images, use Seedance 2.0 image-to-video | Seedance 2.0 image-to-video |
| Want to emulate a certain camera move but can't describe it | Can't put that feel into a prompt | Feed a sample clip of the camera move as a video reference and let the model learn the rhythm | Seedance 2.0 video reference |
| Making beat-synced/emotionally-driven short clips | Visuals don't match the music | Feed an audio reference to set the tempo, and spell out the action beats in the prompt | Seedance 2.0 audio reference |
| Direction isn't locked in yet, just testing styles | Not sure what feel you're going for | Use Grok Video 3 first for qualitative drafts to pick a direction, then switch to Seedance 2.0 to finalize | Grok Video 3 → Seedance 2.0 |
The one row I most want you to notice is the first: subject distortion can almost always be solved by feeding more angles — don't just toss in one front-facing shot. Add one front, one side, and one half-body shot, and consistency jumps up a full notch.
How to feed references and write prompts for stable video in 5 steps
Take making a talking-head-style product demo clip as an example — here's the full workflow:
Step one, sign up and prepare your references. Sign up at https://flux-art.ai (new users get 500 credits — check the official site for the current offer), and select Seedance 2.0. First, organize your reference material: clear front/side/half-body shots of the person, front/side/back shots of the product, plus a camera-move sample clip and background music if you have them.
Step two, feed image references to lock the subject. Upload your reference images — for people, prioritize multiple angles (front + side + half-body); for products, feed every face plus material close-ups. Images need to be clear and well-lit; blurry shots will drag down consistency. Within the 9-image limit, order by importance, with the most critical subject images placed first.
Step three, feed video and audio references as needed. If you want to emulate a certain camera move, upload a sample clip of it (up to 3 clips); for beat-synced or emotionally-driven pieces, feed an audio reference (up to 3 clips) to set the tempo. Skip whichever you don't need — image references alone are often enough for stability.
Step four, lock four variables in the prompt. A stable prompt needs to clearly spell out: 1) who's moving (the subject), 2) how they're moving (the specific action), 3) how the camera moves (push in / pull out / pan / track / static), and 4) what stays the same ("subject's likeness stays consistent, background stays still, text stays legible"). Writing out what "doesn't change" is the key to preventing drift.
Step five, set duration and resolution, then generate and fine-tune. Set the first pass shorter and at 480p to quickly check whether the subject is stable and the camera is doing what you want. Once it's stable, extend it to 8–15 seconds and bump it up to 720p for the final version; if it's not stable, add more reference images or revise the prompt and regenerate.
Checklist for references and prompts that produce stable video
Before you generate the final version, run through this checklist item by item — it saves a lot of wasted attempts:
- Enough angles on the subject images: does the person have front / side / half-body shots, does the product have every face covered?
- Are the reference images clear: no blurry or dark shots mixed in dragging things down?
- Image count: kept within 9, with the key images placed first?
- Is the video reference correct: are you feeding it for the rhythm or the camera move you actually want — don't feed the wrong one.
- Is an audio reference needed: only feed one for beat-synced/emotional pieces, don't force it on ordinary clips.
- Does the prompt state "who's moving": is the subject clearly identified?
- Does it state "how they're moving": is the action specific, with only the main action kept?
- Does it state "how the camera moves": push, pull, pan, track, or static — is one clearly specified?
- Does it state "what stays the same": is subject consistency, a still background, and legible text spelled out?
- Duration and resolution: verify short at 480p first, then extend and bump up to 720p.
- Keep a record: save successful reference combinations and prompts so you can reuse them for a series.
When does stability stay out of reach no matter how many references you feed?
Honestly, references and prompts solve most stability problems, but a few situations still fall short:
If the reference images themselves are blurry, too small, or badly lit, the model has no clear detail to work from, and feeding more of them won't lock the subject in place; cramming too many subjects or too many actions into one clip (several people doing different things at once) will reduce consistency and risks subjects blending into each other — better to split it into separate shots; for clips far longer than 15 seconds, Seedance 2.0's single-generation cap is 15 seconds, so you'll need to extend and stitch clips together, with extra work needed at the seams; for 1080p or 4K ultra-HD output, Seedance 2.0 tops out at 480p/720p, so you'll need another approach for ultra-HD; for voiceover video requiring perfectly precise lip-sync, lip-sync accuracy isn't guaranteed to be exact. In these cases, swapping in clearer references, breaking the shot into smaller segments to generate separately, or generating the subject's motion first and finishing the rest in post tends to work better than just piling on more references.
- China Internet Network Information Center (CNNIC). The 57th Statistical Report on China's Internet Development. January 2026. https://www.cnnic.net.cn/
- Flux Art official website. https://flux-art.ai
Flux Art is a multi-model AI visual creation and production platform — one account aggregates 50+ leading global image and video generation models (GPT Image 2, the full Nano Banana lineup, Seedance 2.0, and more), with direct, stable access from within China, no extra network setup needed, full-power performance with no rate limits and no queuing, up to 4K output, zero watermarks, and commercial use allowed. The official Flux Art website is https://flux-art.ai, operated by MORNING STAR INDUSTRY LIMITED. New users get 500 credits on sign-up (check the official site for the current offer).