Do reference images guarantee character or style consistency?

Do reference images guarantee character or style consistency? — Audio availability is experimental and is not guaranteed; inspect every result manually before delivery.

AI video model

Google

Veo

Veo3.1 Lite

Q: Is Kyeo's Veo3.1 Lite the same as Google's official Lite model?

Is Kyeo's Veo3.1 Lite the same as Google's official Lite model? — This page describes the current verified on-site contract and does not expose or rely on an internal provider model identifier.

Q: How many images does `REFERENCE_2_VIDEO` support?

How many images does `REFERENCE_2_VIDEO` support? — Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration.

Q: Why are 1080p and 4K not base parameters?

Why are 1080p and 4K not base parameters? — Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action.

Q: Can I use text-only generation now?

Can I use text-only generation now? — Text-only, first/last-frame and one-to-three-reference-image paths are selected from the submitted images.

Q: How many credits do base generation and Extend use?

How many credits do base generation and Extend use? — Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60.

Veo3.1 Lite on Kyeo AI supports text, first/last-frame and reference-image generation, direct 720p/1080p/4K selection, and 4/6/8-second duration controls. 15 / 23 / 75 credits by resolution.

Use this model View credit pricing Back to Model Hub

Workflows

TEXT / FRAME / REFERENCE

Credit cost

720p 15 · 1080p 23 · 4K 75

Prompt limit

5,000 characters

Upload limit

JPEG / PNG · 1–3 · 10 MB

30-second overview

Text-only, first/last-frame and one-to-three-reference-image paths are selected from the submitted images. TEXT_2_VIDEO / FIRST_AND_LAST_FRAMES_2_VIDEO / REFERENCE_2_VIDEO.
Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60. 720p / 1080p / 4K.
Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration. REFERENCE_2_VIDEO.
Audio availability is experimental and is not guaranteed; inspect every result manually before delivery. 4 / 6 / 8 s.

Popular searches: How do I use Veo3.1 Lite? · What is Veo3.1 Lite REFERENCE_2_VIDEO? · Veo3.1 Lite pricing

Examples

Cinematic scene

A realistic 15-second vertical beauty advertisement video of a young East Asian woman with long dark brown hair in a bright modern bathroom with wooden walls, large window with blinds, and natural sunlight streaming in. She wears a simple beige ribbed tank top and has natural glowing makeup with soft pink lips. Start with her holding a frosted glass spray bottle with a gold pump and white label, smiling brightly at the camera while looking slightly to the side. On-screen text appears: “My Hair Refresh ✨”. She speaks enthusiastically: “If your hair looks dry and messy in the morning, try this: just a little serum makes such a difference!” She pumps a small amount of white serum onto her palm, then runs her fingers through her hair, applying the product. Text changes to “Smooth & Frizz-Free ✨”. She flips and smooths her hair, showing the transformation. Next, she runs both hands through her now shiny, smooth, silky hair while smiling and speaking: “Look how smooth and shiny my hair looks now!” Text changes to “Fresh Hair Finish ✨”. She continues flipping and tossing her hair playfully, looking happy and confident. Final text appears: “Try It ✨”. She holds the bottle up again, smiling at the camera, and says: “This is definitely staying in my morning routine.” Soft natural lighting, warm golden hour sunlight, high-quality realistic skin texture, cinematic beauty commercial style, smooth camera movements, vertical 9:16 format, 15 seconds duration.

Cinematic scene

CAMERA / LOOK: Handheld mini DV camcorder footage filmed by the subject herself. Slight hand shake, occasional focus hunting, imperfect framing, natural zoom adjustments, soft tape-like image quality, subtle grain, realistic auto-exposure shifts from bedroom lighting. Natural skin tones, mild motion blur, authentic consumer camcorder aesthetic rather than polished cinematic footage. STYLE: Cozy packing vlog with gentle ASMR elements. Relaxed pacing, minimal dialogue, candid moments, natural pauses. Focus on satisfying everyday sounds: suitcase zippers, clothing folds, fabric rustling, cosmetic pouch clicks, hangers sliding, bag buckles, paper travel documents, and soft footsteps around the room. SUBJECT: Young Korean woman in her 20s with long straight black hair, oversized cream hoodie, loose lounge shorts, cozy socks, minimal jewelry, natural makeup. Calm, excited energy before a short weekend trip. SETTING: Small bedroom on a Friday evening. Warm bedside lamp, open suitcase on the bed, neatly organized clothes, travel essentials on a desk, soft ambient room lighting, quiet atmosphere. STORYBOARD: (2s, propped medium shot) She places the camera on a shelf facing the bed and sits beside an open suitcase. "Packing for a little weekend escape." (2s, overhead shot) Neatly folds sweaters and places them into the suitcase. Soft fabric sounds only. (2s, close-up) Rolling clothes carefully to save space. Fabric rustling and zipper sounds. (2s, handheld closet shot) Choosing between two outfits. Holds them up and smiles. "I always bring too many clothes." (2s, detail shot) Places skincare products into a travel pouch. Small bottle clicks and pouch zipper sounds. (2s, close insert) Arranges sunglasses, charger, headphones, and a small notebook inside a side compartment. No dialogue. (2s, medium shot) Sits on the floor checking items from a handwritten packing list. "Just making sure I don't forget anything." (2s, macro shot) Passport-sized travel wallet, train ticket, and room key pouch being placed into a handbag. Paper and leather sounds only. (2s, propped shot) Closes the suitcase and gently presses down while zipping it shut. Long satisfying zipper sound. (2s, warm ending shot) Places the packed suitcase beside the door and looks back toward the camera with a relaxed smile. "I think I'm ready." (1.5s, final shot) Walks back to the camera and reaches toward the lens. "See you on the trip." Hand softly covers the lens as recording ends. AUDIO NOTES: Prioritize natural room ambience and realistic object sounds. Clothing folds, zippers, bag clasps, paper rustling, footsteps, and suitcase wheels should be clearly audible. Dialogue should be quiet and casual, as if speaking to a small personal vlog audience. REALISM NOTES: Authentic body language, natural blinking, genuine smiles, occasional pauses while thinking, realistic packing mistakes, imperfect framing, focus breathing, and everyday bedroom lighting. The footage should resemble a genuine personal weekend-trip vlog captured on a consumer camcorder, not a commercial or AI-generated production.

Cinematic scene

an athletic build of the character leaping from the skyscrapper building, while he falling down in a rapid speed, the camera focus on his face, his eyes started to glow green with a furious face he scream and then a green aura wrapped around his body as his body gradually transform larger and then green lightning struck him and then an extreme transformation of him into Kaiju no.8 begin. As he crashing down to the ground, smoke, dust and debris exploded. as the smoke and dust gradually became visible,a Masterpiece, ultra-detailed dark sci-fi manga illustration of Kaiju No. 8 in an explosive combat pose, massive armored biomechanical body with razor-sharp white horned skull helmet, glowing neon cyan energy veins pulsing through cracked obsidian exoskeleton, monstrous fanged grin, blazing luminous eyes, enormous fist thrust toward the viewer in extreme forced perspective, debris, shattered concrete and sparks erupting from the impact, swirling plasma rings, lightning arcs, heavy rain, cinematic motion blur, post-apocalyptic Tokyo battlefield, destroyed skyscrapers, smoke, fire and atmospheric fog, oversized distressed typography, Japanese kanji, military HUD interface, classified dossier graphics, barcode elements, layered mixed-media editorial composition, grunge textures, cracked ink, manga cover aesthetic, ultra-sharp linework, dramatic high-contrast lighting, volumetric effects, premium commercial poster design, mythic monster energy, hyper-detailed, 8K, vertical 9:16, masterpiece.

Cinematic scene

Main Subject: Young Chinese woman, early 20s. Natural appearance. Black hair loosely tied back with soft bangs and loose strands. Minimal makeup. Comfortable everyday summer clothing: faded cream sleeveless top, loose light-blue jeans, worn canvas sneakers. Consistent identity, clothing, and appearance throughout. Location: Authentic rural Chinese village during a warm summer afternoon. Whitewashed walls, grey tiled roofs, narrow stone paths, vegetable gardens, bamboo baskets, clay pots, citrus trees, hanging laundry, old wooden gates, chickens occasionally wandering nearby. No modern commercial elements. Camera Style (Critical) Early-2000s consumer DV camcorder. Friend or family member casually filming. Heavy handheld shake. Late reframing. Frequent autofocus hunting. Lens breathing. Exposure pumping when moving between sunlight and shade. Slight motion blur. Rolling shutter. Digital compression artifacts. Soft detail. Slightly faded colors. Low contrast. Mild sensor noise. No stabilization. No cinematic grading. 00:00–00:02 The camera follows her entering through an old wooden courtyard gate. She spots her grandmother watering vegetables and immediately smiles. The camera clips the edge of the gate slightly while entering. Autofocus struggles to switch from the gate to her face. 00:02–00:04 Grandmother waters a small vegetable garden. The young woman walks over and takes the watering can for a moment. They exchange a few casual words and laugh naturally. The camera briefly focuses on tomato plants instead of them. 00:04–00:06 Near the garden. Grandmother points toward something growing among the vegetables. The young woman crouches to inspect it. Wind moves leaves and loose hair strands. Exposure shifts as clouds pass overhead. 00:06–00:08 In the courtyard. Grandmother hands her a freshly peeled orange segment. She takes a bite and smiles. The operator catches the moment slightly late. Camera drifts off-center. 00:08–00:10 They fold laundry together beside a clothesline. Fabric moves gently in the summer breeze. The camera briefly loses focus and hunts between hanging clothes and faces. 00:10–00:12 Sitting together on small stools in the shade. Grandmother says something amusing. The young woman laughs and lightly leans toward her. The shot feels completely unplanned and natural. 00:12–00:15 The young woman leaves through the courtyard gate carrying a small bag of fruit. Halfway down the path she turns back. Her grandmother is still standing there watching. They exchange one final wave. The camera zooms slightly, loses focus for a moment, then recording cuts off abruptly mid-motion. Audio Birds. Distant village sounds. Wind through trees. Rustling leaves. Laundry fluttering. Chickens. Footsteps on stone. Quiet family conversation. No music. No narration. Goal A forgotten family camcorder recording from the early 2000s. Warm, authentic, deeply nostalgic, emotionally universal, and completely believable.

Cinematic scene

Main subject: young Japanese woman, early 20s, natural everyday appearance, faded sage-green sleeveless crop top, loose relaxed-fit cropped trousers, white canvas sneakers, thin gold chain necklace, black straight hair in a low messy bun with face-framing strands. Realistic skin texture, minimal makeup, soft and gentle personality. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video. Location: Authentic Japanese residential neighborhood during a calm late morning. Narrow paved streets, low-rise wooden and stucco homes, small entryways with potted plants, bicycles leaning against walls, vending machine absent, utility poles, tangled overhead wires, mature trees casting moving shadows, quiet suburban atmosphere. No stores, advertisements, cafés, crowds, or commercial activity. Visual Style: Ultra-realistic documentary realism. Genuine candid behavior. Natural body language. Unscripted slice-of-life feeling. Strong environmental authenticity. Rich real-world details and believable human motion. Camera Style: Early-2000s consumer DV camcorder aesthetic. Friend casually recording everyday moments. Heavy handheld shake, imperfect framing, frequent autofocus hunting, lens breathing, exposure pumping when moving between sun and shade, occasional motion blur, subtle rolling shutter, mild digital compression artifacts, faded colors, soft contrast, slight sensor noise. No stabilization. No cinematic camera moves. No modern color grading. **00:00–00:02** Outside a small house entrance. She sits on a low wooden step tying her sneaker laces. A light breeze moves loose strands of hair. She smiles naturally while the camera struggles to hold focus. **00:02–00:04** The camera follows her into a narrow street lined with potted plants and low walls. She notices a stray cat approaching and crouches down. Framing drifts off-center as the operator tries to keep up. **00:04–00:06** She gently pets and feeds the cat. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead. **00:06–00:08** Small front yard beside her house. She hangs laundry on a balcony rack while fabrics sway in the breeze. Exposure changes as clouds briefly pass overhead. **00:08–00:10** On a quiet engawa (wooden porch) with a ceramic tea cup. She sits comfortably watching the neighborhood, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift. **00:10–00:12** Close side profile. Someone off-camera greets her. She turns, raises her hand, smiles warmly, and casually says, "Ohayou." The camera catches the moment slightly late. **00:12–00:15** Walking slowly down a tree-lined residential lane holding her tea cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. Recording cuts abruptly to black mid-motion as if the camcorder was switched off. Audio: Natural ambient sound only — morning birds, distant scooters, light wind, leaves rustling, faint neighborhood chatter, cat sounds, footsteps on pavement, fabric moving on a balcony rack, subtle residential ambience. No music. No sound design. No narration. Goal: Authentic Japanese neighborhood life captured like a forgotten home video from the early 2000s — candid, imperfect, realistic, warm, and deeply believable.

Cinematic scene

THE LAST TRAIN Duration: 15 SecondsAspect Ratio: 16:9 Genre: Supernatural Psychological ThrillerVisual Style: Photorealistic cinematic realism, cold blue grading, atmospheric lighting, subtle tension, natural film grain, realistic physics. GLOBAL CONTINUITY Use the attached reference image @image1 as the permanent facial anchor. Preserve exact face shape, eyes, skin tone, age, and expression in every shot. No exaggeration—emotion comes from lighting, posture, and movement only. Wardrobe evolves naturally. She starts in a charcoal wool coat and dark boots with neatly styled hair. During the escape, the coat opens, revealing a silver crescent necklace. Hair transitions from neat to windblown. Hair color never changes. All shots use a consistent 35–50 mm cinematic perspective with subtle lens breathing, natural focus, realistic cloth and hair physics, drifting fog, and cold blue lighting. CUT 1 | 0:00–0:03 | ISOLATION Wide shot of an empty railway platform in cold fog under flickering lights. She stands alone in a charcoal coat, checking her phone as signal drops to zero. She exhales visible breath. Slow dolly-in with soft focus pull. Fog drifts naturally. Cut as she lowers her phone. CUT 2 | 0:03–0:06 | DISCOVERY Close-up of a cracked station clock frozen at 11:47. Her faint reflection appears in the glass. Slow push-in. Cold blue lighting remains consistent. The second hand suddenly jerks. Cut on the movement. CUT 3 | 0:06–0:09 | AWAKENING Clock jerks violently, cracks deepen. Camera pulls back to reveal the Conductor standing behind her. He wears a dark vintage uniform, face hidden in shadow, faint pocket watch glow. Wind lifts strands of her hair as she begins turning. Lights flicker colder. Cut on strongest flicker. CUT 4 | 0:09–0:12 | ESCAPE Handheld tracking shot as she runs toward the tunnel. Her coat opens, revealing a silver crescent necklace. Hair flows in wind, breath visible. She glances back once. Tunnel lights flicker on sequentially. Cut on whip-pan. CUT 5 | 0:12–0:15 | LOOP Ground-level wide shot. Shadow tendrils erupt from the clock, pulling her and the Conductor inside. They dissolve into interference. Necklace remains visible until the final moment. Camera pulls back to a static shot. The clock reads 11:47 again. A train rushes past. Lights fade until only the clock remains. Final tick → hard cut to black. SOUND DESIGN Continuous cinematic score.Start with ambient drone and wind → add distant railway sounds → soft piano.Heartbeat pulse builds with clock ticks and strings.During escape, rhythm accelerates with percussion and tension. At capture, a strong bass impact.Afterward, only faint interference and wind. Final moment: silence, then one clean clock tick at 11:47. GLOBAL NEGATIVE PROMPT No identity drift, no face distortion, no extra limbs, no duplicate characters, no flickering, no texture issues, no unrealistic motion, no clipping, no artifacts.

At a glance

Is this model right for you?

Text-only, first/last-frame and one-to-three-reference-image paths are selected from the submitted images. Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60.

What it does best: This is Kyeo's current public source Lite integration page, not a complete mirror of Google's official Veo 3.1 Lite API.
Who it is for: Use it to validate one text, first/last-frame, or reference-image path with non-critical inputs, then evaluate result operations separately after the base task succeeds.
Why use it on Kyeo AI: Kyeo AI presents Veo's available controls, credit cost, and result workflow together, making it easier to compare options and begin creating.

Key facts

Quickly evaluate whether this model fits your business use case.

Other names

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

Veo3.1 Lite

Google Veo

Veo Video

Common questions

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

How do I use Veo3.1 Lite?

What is Veo3.1 Lite REFERENCE_2_VIDEO?

Veo3.1 Lite pricing

Veo3.1 Lite vs Quality

Veo3.1 Lite vs Lite

How many reference images can Veo3.1 Lite use?

What does Veo3.1 Lite Extend do?

What does Veo3.1 Lite Get 1080P do?

What does Veo3.1 Lite Get 4K do?

How does Kyeo AI's Veo3.1 Lite differ from Google's stable Lite model?

Decision guide

Still deciding? Start with these key decision points.

When a controlled test makes sense

When you need to validate one specific path in Kyeo's current Lite interface and are willing to use non-critical media to confirm the request, callback, result, and credit charge, start with the smallest sample.

When to compare another model

Compare Lite for a lower local base charge. Sora 2 Pro is now a Legacy workflow and should not be a default delivery baseline.

Minimum verification path

Minimum verification path: Before delivery, verify the selected mode, duration, actual dimensions, audio, URL lifetime and billed credits with a non-sensitive sample.

Popular comparisons

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

How does Veo3.1 Lite differ from Veo3.1 Lite?

Veo3.1 Lite vs Veo3.1 Lite

How does Veo3.1 Lite differ from Veo3.1 Quality?

Veo3.1 Lite vs Veo3.1 Quality

How does Veo3.1 Lite differ from Sora 2 Pro?

Veo3.1 Lite vs Sora 2 Pro

Model comparison table

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

Role in Kyeo AI

Veo3.1 Lite

Full local Veo workflow with three input paths and result actions

Veo3.1 Quality

High-quality generation tier

Generation modes

Veo3.1 Lite

text + first-and-last-frame + reference image

Veo3.1 Quality

Base text/image video without reference mode

Post-result actions

Veo3.1 Lite

Shows Extend / 1080p / 4K after a successful task

Veo3.1 Quality

Also supports result actions

Local base charge

Veo3.1 Lite

15 / 23 / 75 credits by resolution

Veo3.1 Quality

Fixed 225 credits

Current validation priority

Veo3.1 Lite

Verify one base path and its task lifecycle first

Veo3.1 Quality

Current validation priority — Veo3.1 Quality: A currently available alternative in the same category; open its detail page to compare capabilities and pricing.

Real-world experience

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

Veo: Lite to explore

Veo: Lite to explore: This page describes the current verified on-site contract and does not expose or rely on an internal provider model identifier.

Base requests and result actions require separate accounting

Base requests and result actions require separate accounting: Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60.

Capabilities

Three input paths in the current site form

Three input paths in the current site form: Text-only, first/last-frame and one-to-three-reference-image paths are selected from the submitted images.

Reference mode is a Kyeo product choice

Reference mode is a Kyeo product choice: Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration.

Result actions depend on a Kyeo-owned source task

Result actions depend on a Kyeo-owned source task: Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action.

Use cases

Veo: Everyday creation

Veo: Everyday creation: Before delivery, verify the selected mode, duration, actual dimensions, audio, URL lifetime and billed credits with a non-sensitive sample.

Reference-driven video

Reference-driven video: Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration.

Verify result operations after base success

Verify result operations after base success: Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action.

Prompt tips

Select `generationType` before refining the prompt

Decide whether the brief begins from text, first/last frames, or reference images. A long prompt cannot compensate for choosing the wrong media workflow.

Assign each reference image a clear role

When using one to three reference images, label whether each image provides the subject, styling, or visual style, then check for roles that were mixed up or omitted.

Treat upscaling and extension as separate steps

They are separate actions on a successful task with additional charges. Higher resolution does not guarantee better content, motion, or detail.

Why choose it

Text-only, first/last-frame and one-to-three-reference-image paths are selected from the submitted images. 4 / 6 / 8 s.

Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration. 1–3 JPEG / PNG.

Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60. 15 / 23 / 75.

Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action. 720p / Extend.

What to know first

Reference mode accepts 1–3 verified JPEG or PNG images, only 16:9 or 9:16, and requires an 8-second duration. Auto.

Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action. 1080p / 4K.

Audio availability is experimental and is not guaranteed; inspect every result manually before delivery. Resolution follow-up actions require an owned successful 720p base task or Extend result; a direct 1080p or 4K result cannot request another resolution action.

Before delivery, verify the selected mode, duration, actual dimensions, audio, URL lifetime and billed credits with a non-sensitive sample. 10 MB.

Adjustable settings

Quickly evaluate whether this model fits your business use case.

Generation mode

Optional

Parameter type: select

Depends on submitted images

TEXT_2_VIDEO

FIRST_AND_LAST_FRAMES_2_VIDEO

REFERENCE_2_VIDEO

Aspect ratio

Optional

Parameter type: select

Default: 16:9

Landscape (16:9)

Portrait (9:16)

Auto crop (Auto)

Resolution

Optional

Parameter type: select

720p

720p — 15

1080p — 23

4K — 75

Duration

Optional

Parameter type: select

8 s

4 s

6 s

8 s

Watermark text

Optional

Parameter type: text

Prompt translation

Optional

Parameter type: select

Default: true

Auto-translate to English

Keep original text

Credit cost

15 / 23 / 75 credits by resolution

Direct generation costs 15 credits at 720p, 23 at 1080p (22.5 rounded up), and 75 at 4K. Extend costs 15; eligible 1080p and 4K result actions cost 8 and 60.

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.

Veo3.1 Fast

Veo3.1 Fast on Kyeo AI supports text, first/last-frame and reference-image generation, direct 720p/1080p/4K selection, and 4/6/8-second duration controls. 30 / 38 / 90 credits by resolution.

AI video model

30 / 38 / 90 credits by resolution

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Veo3.1 Quality

Veo 3.1 Quality on Kyeo accepts text or one to two first/last-frame images through the public source Veo 3.1 Quality route for 225 credits. Eligible results can launch Extend, 1080p, or 4K actions separately. Quality is a workflow name, not a fixed delivery guarantee.

AI video model

225 / 233 / 285 credits by resolution

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Kling 3.0

Review Kling 3.0 on Kyeo AI: 3–15 seconds, single-shot or up to 5 multi-shots, first/last frames, sound, and std/pro/4k per-second rates. A fit for specifying first and last frames or splitting a 3–15-second concept into up to 5 short shots. Character consistency, lip sync, text, sound, and shot continuity still require review of the actual result.

AI video model

42–1005 credits / request

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