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Kyeo AI
AI video model
Alibaba
Wan 2.5

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.

Use this modelView credit pricingBack to Model Hub
Task routes
Text-to-video or one-image video
Current credits
60/100/120/200 credits
Output tiers
720p/1080p; 5/10 seconds
`prompt` / `safety`
Main prompt up to 800 characters; negative prompt up to 500; safety check enabled for the task.
30-second overview
  • 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.
  • 720p at 5/10 seconds costs 60/120 credits; 1080p at 5/10 seconds costs 100/200
  • Kyeo accepts one JPG/PNG/WebP image up to 10 MB for the image route
  • Before submission, the main prompt is checked against an 800-character limit and the negative prompt against a 500-character limit; a safety check runs with the task.

Popular searches: How do I use Wan 2.5 Video? · Which routes handle Wan 2.5 text and image input? · How are Wan 2.5's 60/100/120/200 credits calculated?

Examples

Cinematic scene

Create an immersive vertical 16:9 AI-generated short film captured entirely from the perspective of a real audience member sitting in the back row of a huge modern commercial cinema in Europe or America. Deep red upholstered seats, black armrests, cup holders, dim aisle lights, green emergency lights, dark acoustic wall panels, and dozens of audience silhouettes fill the theater. The enormous curved cinema screen suddenly displays a stormy prehistoric jungle. Giant ferns bend under heavy rain, enormous tree trunks shake, vines swing violently, lightning illuminates volcanic ash clouds, and muddy water flows across the jungle floor. The audience begins recording with smartphones. Suddenly, a gigantic prehistoric Spinosaurus emerges from the darkness and charges toward the camera on the cinema screen. Its enormous crocodile-like jaws open as it runs, rainwater dripping from its dark green-brown scales, mud covering its legs, and its massive sail cutting through the storm. As it approaches, the creature appears to physically break through the curved screen into the theater. Rain, muddy water, leaves, steam, and mist explode into the audience space. People in several rows duck, raise their arms, turn their heads, and hold up phones. The camera operator instinctively leans backward and shakes while trying to keep the creature in frame. The Spinosaurus sweeps extremely low above the audience, its enormous tail creating a powerful gust that moves hair, clothing, and rain mist. The camera struggles to focus as droplets hit the phone lens. Red seats remain visible in the lower half while the creature dominates the upper frame. For the final climax, the Spinosaurus suddenly turns toward the back row and brings its enormous face extremely close to the phone. Its wet scales, sharp teeth, yellow eyes, muddy jaw, dripping saliva, and steaming nostrils are highly detailed. It releases a deafening roar directly toward the audience, producing a violent blast of hot mist, rain, and muddy spray across the lens. The image becomes partially blurred by water before slowly refocusing on its terrifying face. Realistic smartphone footage, natural hand shake, imperfect autofocus, exposure changes, realistic audience reactions, cinematic lighting only coming from the screen and theater lights, physically believable depth, photorealistic creature, dramatic rain and atmospheric effects, no gore, no injuries, no destruction of people or seats, no subtitles, no text, no logos, no recognizable movie IP, no professional camera movement, no drone perspective.

Cinematic scene

Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary summer evening in the life of a young Japanese woman. No reference image. MAIN SUBJECT Young Japanese woman in her early 20s, naturally pretty, realistic skin texture, minimal makeup, soft and cheerful personality. Shoulder-length dark brown hair worn down with a simple clip pinning back one side, a few loose strands framing her face. Wearing an oversized light-yellow short-sleeve shirt, denim shorts, white canvas sneakers and a thin gold anklet. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. SETTING A quiet older residential neighborhood in Kyoto during a warm summer evening. Narrow paved streets, low wooden houses, hanging laundry, vending machines, telephone poles, tangled overhead wires, a small corner convenience store, a shrine gate visible in the distance, cicadas humming in the trees, and long tree shadows stretching across the road. Everything should feel lived-in, ordinary and peaceful. No tourist attractions, advertisements, recognizable brands or commercial activity. CAMERA / VISUAL AESTHETIC Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, exposure shifts, occasional motion blur, faded colors, soft digital detail, mild noise, accidental zooms and natural camera imperfections. No stabilization, drone footage, gimbal movement, dramatic lighting or polished commercial cinematography. — OUTSIDE THE HOUSE She steps outside holding a small paper fan. She slides the door shut, glances at her reflection in a window, and looks toward the camera with a shy laugh. A warm evening breeze rustles the nearby wind chimes as she starts walking down the street. — CONVENIENCE STORE STOP She reaches the small corner store and buys a popsicle. She steps outside, unwraps it, takes her first bite and scrunches her face happily at the taste. She notices her friend filming and waves the popsicle toward the camera with a grin before taking another bite. — WALKING HOME She continues down the quiet street while eating. A small dog tied outside a shop barks softly and wags its tail. She kneels down and gently scratches behind its ears. The dog's owner calls it back and she stands, giggling as she walks on. — SMALL ACCIDENT She walks past a low hanging laundry line when a stray sheet brushes against her head. She stops, startled, then realizes what happened and bursts out laughing. She pats down her hair while her friend zooms clumsily toward her face. She looks directly into the camera and says: "Mou, yamete!" ("Come on, stop it!") — QUIET MOMENT She reaches a small stone step near a shrine gate and sits down for a moment. She finishes the popsicle while watching fireflies begin to flicker faintly near the bushes. A gentle breeze moves her hair. She tucks a loose strand behind her ear and looks around peacefully. — FINAL MOMENT She stands up and continues walking home. After a few steps, she turns back toward the camera with a soft playful smile and says: "Hayaku kite." ("Come on, hurry up.") She keeps walking down the dim lane as the streetlights flicker on, while the camera follows behind. She disappears around the corner and the recording abruptly cuts to black. AUDIO Natural location sound only: cicadas, wind chimes, footsteps, distant bicycle bells, a vending machine hum, sliding doors, rustling laundry, faint conversations and subtle camera-handling noise. No music. No narration. No artificial sound effects. Only the two spoken lines specified above. FINAL FEEL The entire video should feel like a forgotten summer recording from the early 2000s. Warm, gentle, casual, slightly playful, intimate and nostalgic. No dramatic events, no exaggerated acting, no model poses and no polished cinematic shots. The realism should come from ordinary surroundings, natural expressions, small accidents, realistic environmental movement and imperfect camcorder operation.

Cinematic scene

A cinematic fashion film set on a breathtaking coastal landscape. A stylish young woman walks naturally along a rugged seaside path, surrounded by wild greenery and delicate flowers. She wears a relaxed oversized brown knit sweater with elegant ivory trousers. Behind her, crystal-blue ocean waters stretch toward a towering lush green mountain rising from the sea. Soft golden-hour sunlight creates a warm, dreamy atmosphere. A gentle ocean breeze naturally moves her hair and sweater. Start with a wide cinematic establishing shot of the coastline, then smoothly track alongside her as she walks, transitioning into elegant close-ups of her outfit, hair, and subtle facial expressions. Spoken Voice / Dialogue: The woman speaks naturally while walking, in a soft, calm, confident female voice. Her delivery should feel spontaneous and conversational, with realistic breathing and subtle pauses. She says: “Sometimes, all you need is a quiet place, a little fresh air, and a moment to simply slow down and enjoy where you are.” Her lip movements must accurately synchronize with every spoken word. Natural facial expressions, realistic mouth movement, and subtle head gestures while speaking. No exaggerated acting. Ambient Audio: Gentle ocean waves crashing against the rocks, soft coastal wind, subtle rustling of flowers and leaves, quiet footsteps, and distant seabirds. Keep the environmental sounds natural and cinematic underneath the dialogue. No background music and no additional voices. Photorealistic, natural skin and hair, realistic fabric movement, cinematic lighting, smooth camera movement, shallow depth of field, soft bokeh, subtle film grain, premium fashion-commercial aesthetic, atmospheric color grading, 4K cinematic quality. No text, no logos, no watermark.

Cinematic scene

Style: Ultra-realistic cinematic fashion reel, luxury editorial, premium Instagram creator aesthetic, smooth camera movement, natural lighting, 4K, highly detailed fabrics, realistic clothing physics. Scene Overview A stylish male model showcases five iconic fashion eras from the 1920s to the 1960s. The video takes place in the same modern studio with soft daylight and a clean architectural background. The same model appears throughout the video while only the clothing changes between decades. Every outfit change happens naturally during camera movement, creating a smooth and satisfying visual flow. The only on-screen text is the decade name. Music is a modern electronic fashion track that builds continuously without vocals. Character Use the reference image as the model. Young adult male. Confident but relaxed. Friendly expression. Natural walking pace. The same model appears in every scene. Environment Minimalist fashion studio. Large windows. Warm daylight. Neutral beige walls. Polished concrete floor. Luxury editorial atmosphere. Keep the background consistent throughout the video. 0:00–0:03 — 1920s The video opens with the model standing confidently in the center of the studio. The camera slowly moves closer. He adjusts his cufflinks before looking toward the camera. Outfit Charcoal pinstripe three-piece suit White dress shirt Dark tie Waistcoat Pocket watch chain Oxford shoes Grey newsboy cap On-screen text: 1920s As the camera quickly pans to the right, the clothing smoothly changes into the next decade. 0:03–0:06 — 1930s The camera finishes the movement. The model now wears a cream double-breasted suit with wide lapels, pleated trousers, spectator shoes, and a fedora. He places one hand in his pocket and takes a confident step forward. On-screen text: 1930s The camera gently circles around him, and during the movement the outfit changes into the next style. 0:06–0:09 — 1940s The camera completes the circle. The model now wears an olive green utility jacket with tailored trousers, brown leather boots, and a classic wristwatch. He buttons the jacket while walking slowly toward the camera. On-screen text: 1940s A warm light sweep crosses the frame, leading naturally into the next outfit. 0:09–0:12 — 1950s The model now wears a fitted white T-shirt, dark blue cuffed jeans, a brown leather belt, leather boots, and classic sunglasses. He casually adjusts the sunglasses before taking two relaxed steps forward. On-screen text: 1950s The camera briefly moves closer, then pulls back, allowing the clothing to change smoothly. 0:12–0:15 — 1960s The model now wears a black turtleneck, camel overcoat, slim trousers, Chelsea boots, and a simple wristwatch. He walks confidently toward the camera with both hands in his coat pockets. On-screen text: 1960s During the final second, the camera begins a slow clockwise circle around him. His coat moves naturally as he lightly adjusts the collar. The music continues to build instead of ending. 0:15–0:18 — 1970s The video begins exactly where Part 1 ended. The camera continues its slow clockwise movement around the model before settling into a smooth front-facing angle. The music hits the next beat naturally. Outfit Brown suede jacket Patterned open-collar shirt Flared trousers Brown leather belt Platform shoes Gold wristwatch Aviator sunglasses The model adjusts his sunglasses before removing them with a confident smile. On-screen text: 1970s As the camera moves slightly closer, the outfit changes naturally into the next decade. 0:18–0:21 — 1980s The camera continues tracking forward. The model now wears a charcoal oversized business suit with a patterned tie, pleated trousers, polished loafers, and a classic dress watch. He straightens his tie while walking confidently toward the camera. On-screen text: 1980s The camera briefly passes beside him, creating a smooth transition into the next outfit. 0:21–0:24 — 1990s The camera emerges on the opposite side. The model now wears an oversized light-wash denim jacket over a graphic T-shirt, relaxed jeans, chunky white sneakers, and a simple silver chain. He smiles naturally while walking across the frame with both hands in his jacket pockets. On-screen text: 1990s The camera follows his movement before quickly swinging to reveal the next decade. 0:24–0:27 — 2000s The camera settles into a smooth tracking shot. The model now wears a black leather jacket over a fitted white T-shirt, slim dark jeans, white high-top sneakers, and aviator sunglasses. He casually removes the jacket from one shoulder while continuing to walk. The movement of the jacket naturally fills part of the frame as the clothing changes into the final look. On-screen text: 2000s 0:27–0:30 — 2020s The jacket clears the frame. The camera slowly pushes toward the model. He now wears a modern quiet luxury outfit. Outfit Beige overshirt Premium white T-shirt Relaxed tailored trousers White minimalist sneakers Luxury stainless steel watch Simple silver ring The model walks toward the camera before stopping naturally. He smiles confidently while looking directly into the lens. On-screen text: 2020s The decade text gently fades into: 100 YEARS OF MEN'S FASHION Then below it: 1920 → 2020 The music reaches its final peak before fading smoothly. The camera holds on the model for a brief moment before fading to black. Camera Style Smooth cinematic movement Gentle dolly shots Slow orbit around the model Occasional push-in Natural handheld feel Soft depth of field Luxury fashion commercial look Visual Style Premium editorial photography Warm natural colors Soft contrast Highly detailed fabrics Clean tailoring Realistic lighting Crisp facial details Natural movement Elegant pacing

Cinematic scene

Create a 30-second, 1080p ultra-realistic personal home-video showing an ordinary evening in the life of a young Korean woman. No reference image. MAIN SUBJECT Young Korean woman same face as <<<image_1>>> in her early 20s, naturally pretty, realistic skin texture with visible pores and texture, minimal makeup, soft and slightly tired expression after a long day. Long straight black hair tied in a loose low bun, a few flyaway strands near her ears, small silver hoop earrings. Wearing an oversized beige knit cardigan over a plain black turtleneck, straight-leg dark jeans, white canvas sneakers, and carrying a small worn tote bag. Maintain the same face, hairstyle, clothing, body proportions, and appearance throughout the entire video. SETTING A quiet riverside neighborhood in Seoul on a cool early-autumn evening, right after a light rain has just stopped. Wet pavement reflecting streetlights, a small laundromat with fogged windows, a street-side flower stand closing up, a covered bus shelter, a narrow pedestrian bridge over a stream, scattered puddles, string lights above a closed market alley, a convenience store with a lit sign, and a few pigeons picking at the ground. Everything damp, quiet, and softly lit as dusk settles in. **CAMERA / VISUAL AESTHETIC** Raw personal footage casually recorded by a friend. Handheld camera with natural shake, imperfect framing, occasional partial crops, autofocus hunting on reflections and wet surfaces, exposure shifts between streetlight glow and shadow, mild motion blur, soft image detail, subtle digital noise, slightly desaturated evening colors, and natural camera imperfections. The camera operator walks with her and reacts naturally. No stabilization, no cinematic camera movements, no dramatic lighting, no slow motion, no polished commercial appearance. The footage should feel accidentally beautiful rather than deliberately cinematic. --- **00:00–00:05 — LEAVING THE LAUNDROMAT** She pushes open the laundromat door, stepping out with a small basket of folded laundry against her hip. She glances up at the sky, checking if it's really stopped raining, and exhales a small relieved breath. The camera follows her out, slightly unsteady on the wet step. She glances back at the camera with a tired little smile. **00:05–00:10 — THE FLOWER STAND** She walks past a street-side flower stand that's closing up for the night. She pauses, picks up a small bundle of daisies on impulse, pays the vendor, and tucks them into her tote bag. The camera briefly focuses on the flowers before drifting back up to her face. **00:10–00:15 — THE PEDESTRIAN BRIDGE** She crosses a narrow footbridge over the stream, puddles reflecting the streetlights beneath her feet. She stops halfway, resting her forearms on the railing, looking down at the water without saying anything. The camera stays slightly shaky and imperfectly framed, as if her friend is just leaning on the railing beside her. **00:15–00:20 — CONVENIENCE STORE STOP** She ducks into a small convenience store, the automatic door chiming behind her. She grabs a warm canned coffee from the heated shelf, pays, and steps back outside, cracking it open right away. A passing scooter splashes through a puddle in the background. The camera operator accidentally clips the doorframe while following her out, then quickly reframes. **00:20–00:25 — BUS SHELTER** She sits under a covered bus shelter, sipping her coffee, laundry basket beside her feet. A few pigeons wander near the curb; she watches them idly, unbothered. Steam rises faintly from the coffee can in the cool evening air. The camera drifts slightly out of focus on the streetlight behind her, then refocuses. **00:25–00:30 — FINAL MOMENT** She notices the camera still recording and turns toward it, laundry basket now tucked under one arm. She gives a small amused, slightly embarrassed smile and says: *"Why are you still filming me?" She laughs quietly and starts walking toward the camera, waving it off with her free hand. The camera moves backward as she approaches, and the recording abruptly cuts to black before she reaches it. --- **AUDIO** Natural location sound only: Footsteps on wet pavement, distant traffic, dripping water, a scooter passing, the convenience store door chime, coins and paper bag rustling, pigeons cooing, fabric movement, a bus passing in the distance, and subtle handheld camera noise. No music. No narration. No artificial sound effects. Only the single spoken line: *"Why are you still filming me?" **FINAL FEEL** The entire video should feel like a completely ordinary rainy evening that somehow became a quiet, beautiful memory. Soft, feminine, tired-but-content, intimate, gently nostalgic, and unplanned. No dramatic events. No exaggerated acting. No model poses. No cinematic hero shots. The realism should come from tiny imperfections, damp reflections, casual body language, natural expressions, ordinary surroundings, imperfect camera operation, and moments that feel completely unposed.

Cinematic scene

Main Subject: Young Korean woman, early 20s, windbreaker jacket over a t-shirt, hair tied back tightly against the wind, small backpack, adventurous relaxed energy. Location: Outdoor deck of a small passenger ferry, midday. Open sea stretching to the horizon, distant islands, seagulls trailing the boat, wooden deck railing. No crowds, no commercial signage. Visual Style: Ultra-realistic documentary realism, breezy adventurous feeling, bright natural sea light. Camera Style: Early 2000s DV camcorder, handheld with strong wind-induced shake, autofocus struggling against bright water reflections, soft grain. No stabilization. Timeline (15 sec, each slot = 2 compressed beats): 00:00–00:03 → She leans on the railing, hair whipping in the wind, watching the waves. 00:03–00:06 → She turns to camera saying "바다 냄새 진짜 좋다" ("The sea smells really nice"), laughing. 00:06–00:09 → A seagull swoops close; she ducks slightly, startled, then laughs. 00:09–00:12 → She points toward a distant island coming into view. 00:12–00:15 → She looks at camera saying "거의 다 왔나 봐" ("I think we're almost there"), smiling as it fades. Audio: Waves crashing against the hull, wind gusts, seagull cries, engine hum. Her dialogue as noted above. No music. Goal: A breezy, adventurous ferry ride moment free, warm, authentic.

At a glance

Is this model right for you?

Up to 1 JPG/PNG/WebP image, 10 MB — Main prompt: up to 800 characters; negative prompt: up to 500 characters. Use it to compare text-first and one-image-first drafts with the same brief, then move through four billed tiers. It is not for video input, first/last-frame control, 15-second output, or timeline editing.

What it does best
This is a two-workflow short-video entry, not a general video editor. Alibaba Cloud's direct Wan 2.5 preview models establish the family identity and 5/10-second context, but the current public source workflow fields and Kyeo credit rates must be understood separately.
Who it is for
Use it to compare text-first and one-image-first drafts with the same brief, then move through four billed tiers. It is not for video input, first/last-frame control, 15-second output, or timeline editing.
Why use it on Kyeo AI
Kyeo AI brings Wan 2.5's available controls, credit costs, and result actions together, making it easier to compare options and start creating.

Key facts

Quickly evaluate whether this model fits your business use case.

Category
AI video model
Vendor
Alibaba
Model family
Wan 2.5
Integration
Current site integration
Task routes
Wan 2.5 — Asynchronous task
Current credits
Wan 2.5 — Asynchronous task
Kyeo credits
720p at 5/10 seconds: 60/120; 1080p at 5/10 seconds: 100/200
Image media
1 JPG, PNG, or WebP image; both Kyeo and the current public source form limit it to 10 MB

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 2.5 — What does Wan 2.5 prompt expansion do?

Common questions

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

How do I use Wan 2.5 Video?
Which routes handle Wan 2.5 text and image input?
How are Wan 2.5's 60/100/120/200 credits calculated?
Which resolutions and durations does Wan 2.5 support?
Which images does Wan 2.5 image-to-video accept?
What is Wan 2.5's prompt limit?
What is Wan 2.5's negative-prompt limit?
What does Wan 2.5 prompt expansion do?
When should I choose Wan 2.5 instead of Wan 2.6?

Decision guide

Still deciding? Start with these key decision points.

1
Choose the input route first

Use text when no usable first frame exists; upload one image when the composition needs a fixed starting point.

2
Start with the lowest tier

Use the 60-credit 720p 5-second tier to confirm the request, subject, and shot direction before increasing duration or resolution. More credits do not guarantee better quality.

3
Check text length and safety before submission

Keep the main prompt within 800 characters and the negative prompt within 500 before submitting. Longer input is rejected before credits are deducted, and the safety check remains enabled.

Popular comparisons

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

How do Wan 2.5 Video and Wan 2.6 input ranges differ?
Wan 2.5 Video vs Wan 2.6: duration and credits
How do Wan 2.5 Video and Wan 2.7 Video routes differ?
Wan 2.5 Video vs Wan 2.7 Video: controls
How do Wan 2.5 Video and Wan 2.2 A14B Turbo media differ?
Wan 2.5 Video vs Wan 2.2 A14B Turbo: resolution and credits

Model comparison table

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

Task range
Wan 2.5 Video
Generate video from text or one image
Wan 2.6
Text, one image, or one video input
Wan 2.7 Video
Text, image, or video routes
Duration and resolution
Wan 2.5 Video
5/10 seconds; 720p/1080p
Wan 2.6
5/10/15 seconds; 720p/1080p
Wan 2.2 A14B Turbo
5 seconds; 480p/580p/720p
Current credits
Wan 2.5 Video
60/100/120/200 credits
Wan 2.6
70-315 credits
Wan 2.2 A14B Turbo
8-24 credits
Visible controls
Wan 2.5 Video
`resolution`; `duration`; `enable_prompt_expansion`; `seed`; `negative_prompt`
Wan 2.6
Primarily resolution and duration
Wan 2.7 Video
workflow-specific first/last frame, extension, watermark, or audio controls
Current contract risk
Wan 2.5 Video
Input and safety limits: 800 characters for the main prompt, 500 for the negative prompt, with the safety check always enabled.
Wan 2.6
Additional current public source controls are not sent and require separate verification
Wan 2.2 A14B Turbo
Offers text, image, and video input modes

Real-world experience

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

One model generation can have channel-specific contracts

Kyeo now follows the current current public source form's 800-character main-prompt limit. Fields from Alibaba Cloud's direct preview service still cannot be assumed to apply here.

Input limits are enforced before submission

Input limits are enforced before submission: the main prompt supports up to 800 characters and the negative prompt up to 500. Longer input is rejected before credits are deducted, and a safety check runs with the task.

Capabilities

Workflow switching by media

Kyeo chooses the text or image workflow based on whether an image is present. Both share resolution, duration, expansion, seed, and negative prompt; aspect ratio is text-only.

Four repeatable billed tests

720p/1080p at 5/10 seconds maps to 60, 100, 120, and 200 credits, visible before submission.

Actual safety-field state

A safety check runs with the task. Use only media you are authorized to process, and review content safety, identity use, and brand elements before release.

Use cases

Text shot draft

Write a compact subject, action, setting, and camera brief, then begin with 720p at 5 seconds to test direction.

Single-image animation test

Upload one rights-cleared JPG, PNG, or WebP with safe composition, keep the prompt focused, and inspect how the first-frame constraint affects the result.

Same-input parameter benchmark

Hold prompt, media, and seed fixed; change only expansion, duration, or resolution, and record success, elapsed time, credits, and usability separately.

Prompt tips

Write one shot first

Describe the subject, action, environment, and camera direction clearly. Avoid packing several unverified transition requirements into a 5- or 10-second task.

Use concrete negative exclusions

List unwanted objects, artifacts, or composition issues, and keep the negative prompt within the 500-character limit.

A/B test prompt expansion

Run the same prompt once with expansion off and once with it on. Check whether the current public source additions help the image or drift from strict subject and brand constraints.

Why choose it

Text and one-image routes switch explicitly within one entry.
All four resolution-duration combinations have clear matching credits.
Prompt expansion, seed, and negative prompt support repeatable parameter comparisons.
Kyeo's one-image formats and 10 MB limit match the current public source product form.

What to know first

The main prompt supports up to 800 characters and the negative prompt up to 500; longer input is rejected before credits are deducted.
Long or conflicting prompts can reduce control; validate the setup with a short sample before a production task.
Use only media you are authorized to process, and review content safety, identity use, and brand elements before release.
Output quality, motion, composition, audio, filtering, callbacks, and URL lifetime vary with the input and current public source state; the four price tiers follow the estimate shown before submission and the completed task record.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Output resolution
Optional
Parameter type: select
Default: 720p
720p
1080p
Video duration
Optional
Parameter type: select
Default: 5 seconds
5 seconds
10 seconds
Text-route aspect ratio
Text only
Parameter type: select
Default: 16:9
16:9
9:16
1:1
Prompt expansion
Optional
Parameter type: select
Default: off
Off
On
Random seed
Optional
Parameter type: number
Range 0 - 2147483647
Negative prompt
Optional
Parameter type: text

Credit cost

60/100/120/200 credits per request

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.

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
View detailsUse now

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.

AI video model
16 credits/second at 720p; 24 credits/second at 1080p
View detailsUse now

Wan 2.2 A14B Turbo

Wan 2.2 A14B Turbo is not a single Kyeo workflow. No media selects text-to-video, one image selects image-to-video, and one image plus one audio file selects speech-to-video. Each workflow has different resolutions, credit rates, and visible controls, so confirm the media combination first.

AI video model
Standard 40/80; speech 12/18/24 per second
View detailsUse now

Sources

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

Source note

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.

Last updated: 2026-08-27
Alibaba Cloud Model Studio: Wan video-model overview
Official
Open original source