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AI video model
Alibaba
Wan 2.7

Wan 2.7 Video

Wan 2.7 supports text-to-video, first-frame or first-and-last-frame image-to-video, and video editing. It currently offers 720p and 1080p, so compare media requirements, duration, framing, and estimated credits together.

Workflows
Text to video, image to video, and video editing
Resolution
720p or 1080p
Duration
2–15 seconds for text/image; 2–10 seconds or source duration for editing
Credits
16/second at 720p; 24/second at 1080p
30-second overview
  • One model covers text-to-video, image-to-video, and video-editing workflows.
  • Image-to-video accepts a first frame or first and last frames for clearer visual boundaries.
  • Clear per-second credit tiers for 720p and 1080p make small test runs easier to budget.
  • Prompt expansion, watermarking, negative prompts, random seed, and editing audio handling are exposed as workbench controls.

Popular searches: Which video workflows does Wan 2.7 support? · Can Wan 2.7 use first and last frames? · How long can a Wan 2.7 video be?

Examples

Cinematic scene

15-second cinematic action sequence inside a massive battlefield filled with destroyed giant mechs half-buried in snow and ash, red warning beacons blinking weakly through blizzards and smoke. 0.0–3.0s: Camera tracks through colossal mechanical wreckage as a lone armored pilot climbs across the rusted skull of a fallen mech carrying an energy spear. 3.0–6.0s: A rival mercenary activates from inside another wrecked titan, glowing reactor core illuminating the storm around him. 6.0–9.0s: Spear clash detonates sparks and snow outward while loose armor plates crash down around the battlefield in slow motion. 9.0–12.0s: Heavy grounded combat through gigantic mech corpses, fighters leaping between wreckage while reactor fires burn beneath the snow. 12.0–15.0s: Huge cinematic pull-back reveals endless fields of fallen titans stretching across the frozen wasteland.

Cinematic scene

A fast paced cinematic fashion montage featuring a stylish young woman wearing a black leather jacket baggy light blue jeans a white crop top and dark sunglasses The video begins with a fast tracking shot of her running past metal shopping carts in a cool toned concrete parking garage The camera transitions rapidly using whip pans and barrel rolls An extreme low angle fisheye shot reveals her standing against a tall concrete building under a bright overcast sky This immediately cuts to a high angle drone shot looking straight down as she spins in an empty parking lot Digital glitch effects and visual warp distortions appear briefly between cuts The sequence features dynamic hand transitions where the subject reaches for the lens It concludes with a low angle tracking shot of her walking confidently forward The lighting shifts between dim fluorescent garage lights and bright overcast daylight Highly realistic motion blur cinematic color grading natural skin textures and authentic clothing physics Upbeat electronic music plays in the background aspect ratio 16 9 duration 12 seconds

Cinematic scene

Create a 30-second cinematic Korean-drama-style mystery video featuring the same young Korean woman throughout the entire video. She has long dark hair, natural makeup, a beige trench coat, black skirt, white sneakers, and carries a transparent umbrella and the same black smartphone. Set the entire story on one rainy night in Seoul, using the same subway entrance and platform. STRICT CONTINUITY — VERY IMPORTANT This must feel like one continuous unfolding story, not separate disconnected clips. Every action must begin exactly where the previous action ended. Keep the woman's face, hairstyle, clothes, umbrella, phone, environment, weather, lighting, and proportions identical throughout. The subway entrance, stairs, signs, platform, train tracks, and background must remain consistent. No teleporting, no sudden wardrobe changes, no location jumps, no character redesigns, no random cuts, no skipped actions, no unexplained time jumps. Camera movement should naturally follow the character. 0–5 SEC Begin with a cinematic wide shot of a rainy Seoul street at night, neon signs reflecting on the wet pavement. The same young woman walks slowly toward a subway entrance while holding her transparent umbrella. Camera smoothly follows behind her. She reaches the entrance and walks down the first few stairs. 5–10 SEC Continue directly from the stairs into the same subway entrance. Her smartphone vibrates inside her hand. She stops naturally on the landing, closes the umbrella, and looks at the screen. A mysterious message appears: “MESSAGE FROM YOU — TOMORROW” A second line appears: “DON’T GET ON THE NEXT TRAIN.” Her expression changes from confused to concerned. She looks toward the platform stairs. 10–15 SEC She slowly walks down the remaining stairs, still holding the phone. The camera follows her continuously from behind and then moves beside her. She reaches the same platform seen from the staircase. A train approaches from the tunnel. Headlights illuminate her face. She looks at the arriving train, then back at her phone. Her breathing becomes nervous. 15–20 SEC The train stops directly in front of her. She does not board. Instead, she steps closer to the train window and sees her reflection in the glass. At first everything looks normal. Then she notices something impossible: Her reflection is smiling. The real woman remains completely serious. She slowly raises one hand toward the glass. Her reflection raises its hand too—but with a slight delay. She immediately steps backward. 20–25 SEC Her phone vibrates again. Without changing location, she looks down at the SAME phone. A new message appears: “NOW LOOK BEHIND YOU.” Her eyes widen. She slowly turns her head first, then gradually turns her entire body toward the empty end of the SAME platform. Keep the camera following her movement continuously. 25–30 SEC At the far end of the platform stands another woman who looks exactly like her, wearing the identical beige trench coat and holding an identical transparent umbrella.The woman in the foreground freezes.The mysterious double slowly smiles. The phone screen lights up one final time: “YOU SHOULDN’T HAVE COME.” The subway lights flicker once. The double takes one slow step forward. The real woman takes one slow step backward.End on a dramatic close-up of the real woman's terrified eyes as the screen cuts smoothly to black. VISUAL & AUDIO STYLE Premium Korean thriller/K-drama cinematography, realistic Korean city atmosphere, rainy neon reflections, shallow depth of field, subtle handheld camera movement, natural facial expressions, realistic wet surfaces, cinematic lighting, atmospheric suspense music, distant subway announcements, footsteps, rain, train brakes, phone vibration, and realistic ambient sound.

Cinematic scene

Create a highly realistic cinematic horror sequence set inside a quiet apartment building late at night. A young woman enters an empty elevator alone, wearing simple casual clothes, with natural realistic facial features and subtle nervous expressions. The elevator moves strangely, stopping at several floors. Every time the doors open, the exact same long, empty apartment corridor appears outside, dimly lit by flickering ceiling lights. She becomes increasingly confused and frightened, repeatedly pressing the elevator buttons and looking down the corridor. On the final stop, the elevator doors slowly slide open. At the far end of the corridor stands another young woman who looks exactly identical to her, motionless and staring directly at her. The atmosphere becomes completely silent. The woman inside the elevator slowly steps forward, unable to understand what she is seeing. The identical woman suddenly tilts her head at an unnatural angle and takes one slow step toward her. Without warning, the corridor woman violently charges toward her with extremely fast, unnatural movement. The original woman screams and tries to retreat into the elevator, but the other woman tackles her and both fall to the floor. The corridor woman grabs her and aggressively drags her backward across the floor while the original woman desperately tries to hold onto the elevator doorway. The elevator lights flicker rapidly, casting harsh moving shadows across both faces. The original woman manages to reach one hand toward the elevator control panel, desperately trying to press the door-close button. The corridor woman suddenly grabs her wrist and pulls her away. The elevator doors begin closing by themselves, slowly separating the two women. The original woman reaches toward the narrowing gap in panic while the identical woman stares at her with an eerie, emotionless expression. The doors finally slam shut. Cut to a completely empty corridor. No one is visible. A smartphone lies on the floor where the struggle happened, its screen still glowing and displaying 2:13 AM. The hallway lights flicker once, then everything goes completely dark. Ultra-photorealistic live-action horror, realistic human movement, believable apartment building textures, natural skin detail, subtle handheld camera movement, cinematic low-light exposure, practical fluorescent lighting, deep shadows, atmospheric tension, realistic motion blur, disturbing but non-gory horror, no supernatural visual effects, no text overlays, no subtitles, no cartoon appearance.

Cinematic scene

CAMERA: DV 16mm tape camcorder, handheld POV by CHASE, occasionally propped on vanity. Natural shake, imperfect framing, delayed focus, clumsy zooms, face occasionally cropped. Camera never visible. LOOK: Soft blurry tape, faint tape noise, bloomed vanity bulbs, flickering auto-exposure, muted contrast, natural skin. STYLE: Casual beauty vlog. Relaxed, chatty, slow pacing with quiet mirror moments. CHARACTER: CHASE, Korean idol (20s), long straight black hair, dewy skin, coral lips, robe/makeup cape. Unseen stylist's hands occasionally enter frame. SETTING: Bulb-lit vanity, styling chair, hair tools/products on counter, handheld mirror. STORYBOARD: 1. Propped: Waves. "Hey guys, getting my hair done." 2. Handheld CU: Hair tug. "This always takes forever." 3. Insert: Stylist clips hair. Ambient only. 4. Propped: Smiles. "We're getting to the good part." 5. Handheld CU: Watches mirror, smiles. Ambient. 6. Handheld: Checks back with mirror. "Let me see the back—" 7. Tight: Grins. "I really like this." 8. Selfie: Waves/thumbs up. "Hair's done—see you guys!"

Cinematic scene

15-second cinematic action sequence inside a rotating zero-gravity prison block orbiting a dystopian planet, flickering emergency lights, shattered debris drifting through spinning corridors. 0.0–3.0s: Camera tumbles weightlessly through a damaged prison corridor as a bald cybernetic man launches himself off walls using magnetic gloves. 3.0–6.0s: Riot-control soldiers enter through an exploding bulkhead with illuminated riot shields and compact pulse weapons. Gravity flickers violently. 6.0–9.0s: Mid-air fight erupts in zero gravity, bodies spinning through floating debris while muzzle flashes illuminate the dark corridor. 9.0–12.0s: Combat intensifies through rotating prison modules as gravity repeatedly shifts direction, throwing debris and fighters across the environment. 12.0–15.0s: Pull-back reveals the entire prison ring rotating slowly above the planet while explosions spread across multiple sections.

At a glance

Is this model right for you?

Start from text when you have no media, upload one image for a first frame, use two images to constrain the opening and closing frames, or upload a video for editing. Duration and aspect-ratio rules differ by workflow, so review each field before submitting.

What it does best
Wan 2.7 suits workflows that need text ideation, reference-image animation, and adjustments to an existing video in one model family. Its range of workflows does not replace storyboarding or source-media checks.
Who it is for
Consider it for product motion, character clips, social video, concept previews, transitions with clear first and last frames, and changes based on an existing video.
Why use it on Kyeo AI
Kyeo AI presents the currently available workflows, uploads, duration, resolution, and estimated credits together so you can compare Wan 2.7 with other video models before submitting.

Key facts

Quickly evaluate whether this model fits your business use case.

Category
AI video model
Developer
Alibaba
Family
Wan 2.7
Task type
Asynchronous generation
Text to video
Used when no media is uploaded
Image to video
Upload one first frame or two first-and-last-frame images
Video editing
Upload one video and optionally one reference image
Aspect ratios
16:9, 9:16, 1:1, 4:3, and 3:4

Other names

The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.

Wan 2.7
Tongyi Wanxiang 2.7
Wan 2.7 Video

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

Which video workflows does Wan 2.7 support?
Can Wan 2.7 use first and last frames?
How long can a Wan 2.7 video be?
Which image and video formats does Wan 2.7 accept?
How many credits do 720p and 1080p use?
Can Wan 2.7 edit an existing video?
What is different between Wan 2.7 and Wan 2.5?
Is Wan 2.7 better suited to product clips or character shots?

Decision guide

Still deciding? Start with these key decision points.

1
Choose from the media you already have

Use text-to-video with no source media, image-to-video with one or two key frames, and video editing when the source clip must remain part of the result.

2
Validate at 720p and a short duration

Test the subject, motion, camera, and composition first. Move to 1080p or a longer duration only after the direction is stable.

3
Check the form before assuming extra controls

The current workbench determines upload counts and adjustable fields. Do not infer that a feature offered in another product is available here.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

Wan 2.7 vs Wan 2.6: which should I use?
Wan 2.7 vs Wan 2.5: which video model fits?
Wan 2.7 vs Seedance 2: which should I use?
How does the cost of 720p compare with 1080p?

Model comparison table

Not sure which model to choose? Compare the key differences between this model and its alternatives at a glance.

Kyeo AI workflows
Wan 2.7 Video
Text to video, first-frame or first-and-last-frame image to video, and video editing
Wan 2.6
Check its current detail page
Wan 2.5
Check its current detail page
Text/image duration
Wan 2.7 Video
Whole seconds from 2–15
Wan 2.6
See its current detail page
Seedance 2
See its current detail page
Resolution
Wan 2.7 Video
720p or 1080p
Wan 2.5
See its current detail page
Seedance 2
See its current detail page
Reference media
Wan 2.7 Video
One or two images, or one video with an optional reference image
Wan 2.6
Follow its current upload fields
Seedance 2
Follow its current upload fields
Credits
Wan 2.7 Video
16/second at 720p; 24/second at 1080p
Wan 2.5
Charged by its current resolution and duration
Seedance 2
Charged by its current mode and output settings

Real-world experience

Practical guidance based on public sources, current on-site limits, and representative tasks.

First and last frames help when a transition has a clear destination

They provide a visible start and finish, while the prompt still needs a concise action and camera direction for the movement between them. Split complicated changes into shorter shots.

Total cost depends on rework

1080p uses more credits per second. If subject and motion are not yet stable, a short 720p test usually controls total spend better before the final output is upgraded.

Capabilities

Text to video

Generate a 2–15 second clip without uploading media. Set aspect ratio, resolution, negative prompt, prompt expansion, watermark, and random seed.

First-frame or first-and-last-frame image to video

Upload one image as the first frame or two images as opening and closing frames. Images can be JPG, PNG, or WebP up to 30 MB each.

Video editing

Upload one MP4 or MOV up to 30 MB and optionally one reference image. Audio handling can be automatic or preserve the source audio.

Use cases

Product and brand clips

Create light camera movement, material changes, or contextual scenes from a product image. Test packaging text at small scale when legibility matters.

Character shots

Use a first frame to anchor the opening appearance or first and last frames to plan how the action settles. Split large movements into shorter shots.

Reworking an existing video

Adjust a source clip that meets the upload limits and decide whether the delivered version should keep its original sound.

Prompt tips

Lead with the subject's action

State who does what, then add the environment, camera, and details that must remain. Avoid stacking incompatible actions.

Give the camera one primary movement

Start with one push, pull, pan, or orbit. Test complex camera work in separate rounds so failures can be diagnosed.

For image-to-video, describe what happens next

The reference already supplies appearance and composition. Focus the prompt on the action, camera change, and details that should not drift.

Why choose it

Covers text ideation, reference-image animation, and video editing in one model.
First-and-last-frame input gives transitions and transformations clearer visual boundaries.
Supports landscape, portrait, square, 4:3, and 3:4 outputs where the workflow exposes aspect ratio.
The relationship between resolution and per-second credits is straightforward to estimate.

What to know first

The current public workbench does not offer video continuation or a separate audio-reference upload.
Video editing is capped at 10 seconds and text/image workflows at 15 seconds; longer stories need multiple shots.
First and last frames constrain endpoints but do not guarantee every intermediate frame follows a precise path.
Outputs are probabilistic; people, text, brand details, and media rights still require manual review.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Output resolution
Optional
Parameter type: Select
Default: 720p
720p
1080p
Output duration
Optional
Parameter type: Number
Default: 5 seconds
Whole seconds from 2–15 for text/image; 2–10 for editing, or 0 to keep source duration
Aspect ratio
Text/edit
Parameter type: Select
Default: 16:9
16:9
9:16
1:1
4:3
3:4
Negative prompt
Optional
Parameter type: Text
Up to 500 characters
Prompt expansion
Optional
Parameter type: Toggle
On by default
On
Off
AI-generated watermark
Optional
Parameter type: Toggle
Off by default
Off
On
Audio handling during editing
Video editing only
Parameter type: Select
Automatic by default
Automatic
Keep source audio
Random seed
Optional
Parameter type: Number
0–2147483647

Credit cost

16 credits/second at 720p; 24 credits/second at 1080p

Credits are calculated from output duration and resolution: 16 credits per second at 720p and 24 credits per second at 1080p. Check the estimate shown in the workbench before submitting.

Credit-saving tip

Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.

Frequently asked questions

Related models

Still deciding? Take a quick look at these similar alternatives.

Wan 2.6

No media selects text-to-video, exactly one image selects image-to-video, and one to three videos select video editing; images and videos cannot be mixed. The default is 1080p, 5 seconds, shot structure Off, and content filtering On.

AI video model
70–315 credits / request

Wan 2.5 Video

Review Wan 2.5 Video on Kyeo AI with text-to-video or one-image input, 5/10 seconds, 720p/1080p, prompt constraints, and 60–200-credit pricing. Kyeo charges by resolution and duration: 60 credits for 720p at 5 seconds, 120 for 720p at 10 seconds, 100 for 1080p at 5 seconds, and 200 for 1080p at 10 seconds. The 720p 5-second default costs 60 credits. How are Wan 2.5's 60/100/120/200 credits calculated? — Review Wan 2.5 Video on Kyeo AI with text-to-video or one-image input, 5/10 seconds, 720p/1080p, prompt constraints, and 60–200-credit pricing.

AI video model
60/100/120/200 credits per request

Seedance 2.0

Seedance 2.0 / Capabilities — Text accepts no media; frames requires a first frame and allows a last frame; reference requires a prompt and at least one image, video, or audio reference. Reference media cannot be sent with endpoint-frame fields. Seedance 2.0 supports three mutually exclusive text, frame, and multimodal-reference scenes. The current callable output set is 720p, 1080p, and 4K for 4–15 seconds; video-reference requests are available only at 1080p or 4K because those are the current priced combinations. 164–3,840 credits per request

AI video model
164–3,840 credits per request

Sources

This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.

Source note

The workflows, media limits, visible controls, and credits on this page describe the version currently available on Kyeo AI. Use the page and workbench as the current source of truth; features from other products or related versions are not assumed here.

Last updated: 2026-08-29
Wan 2.7 current interface notes
Integration

Used to check the input modes, visible controls, media limits, and availability of the version currently connected to this site. The page and workbench show the actual options.