Wan 2.7 AI Video Generator
Wan 2.7 from Alibaba turns a text prompt or a single photo into a 5 or 10 second video at 720p or 1080p. Run it right in your browser on OnVid.
Kling 3 4K · cinematic
Veo 3.1 native audio
Seedance 2 #1 arena
Wan 2.7 image-to-video
Hailuo 2.3 expressive
Hunyuan open sourceKling 3 4K · cinematicVeo 3.1 native audioSeedance 2 #1 arenaWan 2.7 image-to-videoHailuo 2.3 expressiveHunyuan open sourceWhat is Wan 2.7?
The model is a video generation model from Alibaba's Wan family that turns a written prompt or a single image into a short silent clip. You can run the model on OnVid's AI video generator directly in your browser, at 720p or 1080p, without setting up any computing environment.
Wan 2.7 specs, pricing, and best uses
by Alibaba
Alibaba's Wan 2.7 turns a text prompt or a single image into a short silent clip.
- Resolution
- 720p / 1080p
- Duration
- 5s / 10s
- Inputs
- Text · Image
- Audio
- No audio
- Best for
- Text and image to video
- Plan
- Pro and Max
- Cost
- 500 credits for 5s at 720p
Core Wan 2.7 capabilities for clean video motion
Explore what the model does well on OnVid, from physical motion to camera moves, and where its limits are.
720p and 1080p generation
The model renders at 720p or 1080p on OnVid, chosen per clip. Use 720p for quick drafts and prompt tests, and 1080p when the clip is going straight into a finished edit or a full-screen post.
Wan 2.7 vs Wan 3.0 on OnVid
The model covers text-to-video and single-image image-to-video at 100 credits per second (720p). Wan 3.0 on OnVid adds multi-reference generation, guiding one clip with several images, and offers a 480p option. Pick the model for straightforward prompt or photo clips, and Wan 3.0 when you need to combine references.
Temporal consistency and character stability
The model aims to keep a subject's look and wardrobe consistent through a camera move, which matters for character and product shots. Within a single 5 or 10 second clip, limbs and clothing should hold their shape; across several clips, starting each one from the same reference photo helps keep the subject recognizable.
Dynamic physical motion simulation
The model renders realistic fluid dynamics and physical interactions with believable spatial behavior. Fabric flutter, water splashes, and human momentum follow believable motion paths rather than displaying synthetic drift. The model gives creators convincing environmental behavior in every generated AI video.
Cinematic camera movement controls
The model responds cleanly to directional cinematic camera cues such as sweeping pans, slow push-ins, and aerial crane shots. It renders parallax between background environments and foreground subjects during motion. These visual mechanics help creators establish deliberate narrative pacing without needing external 3D animation suites.
Multimodal text and image prompting
The model builds clips from a descriptive text prompt or from a single photo. With image-to-video, the first frame follows your picture, so the colors and subject you start with carry into the motion. That makes it easy to turn concept art, product shots or portraits into short moving footage.
Who uses Wan 2.7 to generate cinematic AI videos
Digital creators, storytellers, and visual artists rely on the model to turn detailed prompts and still images into expressive motion without filming gear.
Concept artists animating keyframe illustrations
Illustrators prompt the model to turn still environment paintings into cinematic background clips with consistent lighting and natural physics. A single concept sketch becomes a moving scene without manual frame-by-frame rendering.
Wan 2.7 and more top AI video models, all in one place
Pick the right engine for every scene by pairing the model with other leading models inside OnVid's AI video generator without juggling separate accounts.
Cinematic 4K text-to-video with native audio and multi-shot consistency.
The only model with synchronized dialogue and sound.
Film-grade generation with strong prompt adherence and synced audio.
Sharp, physically accurate motion in crisp 4K.
Native 2K motion with synced audio and omni-reference — the Hailuo 3 generation.
Expressive, characterful motion with lively faces.
Black Forest Labs' unified image + video + audio model, with clips up to ~20 seconds.
Native 4K clips up to 30s with synced sound.
Fast clips with synced native audio.
| Model | Resolution | Max length | Best for | Speed |
|---|---|---|---|---|
| 1080p | 5s / 10s | Cinematic, multi-shot | Max quality | |
| 720p / 1080p / 4K | 8s | Native audio | Balanced | |
S2 Sora 2 | 720p / 1080p | 4s / 8s / 12s | Prompt adherence | Balanced |
| 480p / 720p / 1080p | 5s / 10s | Sharp motion | Fast | |
| 768p / 2K | 5s / 10s | 2K detail with sound | Balanced | |
| 768p | 6s / 10s | Expressive motion | Fast | |
| 1080p+ | ~20s | Unified multimodal | Max quality | |
| 480p / 720p / 1080p | 5s / 10s | References + video remix | Fast | |
| 480p / 720p | 6s | Fast clips with sound | Balanced |
How to generate AI videos with The model on OnVid
Turn a scene idea into a finished clip in three steps using the model inside OnVid.
Select Wan 2.7 and enter your prompt
Open the model selector in OnVid's AI video generator, choose the model, and type a clear text prompt describing your camera motion, lighting, and primary subject.
Kling 35s10s16:9Choose duration, resolution and framing
Pick 5 or 10 seconds, 720p or 1080p, and 16:9, 9:16 or 1:1 framing, and add a starting image if you want image-to-video.
Render and download your finished AI video
Preview the clip in your browser, check the motion and detail, then download the video; HD downloads on Pro and Max carry no watermark.
What creators make with Wan 2.7 AI videos
Discover how visual storytellers and digital designers use the model on OnVid to turn simple prompts into detailed motion clips.
“I typed a prompt for a rainy neon city street, and the camera glide looked like real cinema footage. Getting a high-definition clip on the first try saved me hours of filming.”
“Uploading a still character portrait and seeing the expression shift naturally into a moving shot was incredible. The facial lighting and subtle movement stayed consistent across the whole clip.”
“The camera control and visual depth matched exactly what I wrote in my prompt. I had finished AI video clips ready to post without having to learn complex editing software.”
Explore the core strengths of Wan 2.7 AI video
Learn what the model does on OnVid, how to prompt it, how it compares with other models, and what a clip costs before you spend credits.
Motion and lighting coherence in short clips
The Wan 2.7 alibaba video model is designed to keep a scene stable while things move in it. Subjects that turn, walk through shadows or interact with water and foliage should keep their clothing and facial features from the first frame to the last, and light should stay tied to its sources, so streetlamps, sunsets and neon signs keep lighting the scene the same way as the camera moves. Because each clip is 5 or 10 seconds, the model is best used for single shots: a product reveal, an establishing view, a character beat or a piece of b-roll. On OnVid you choose 720p or 1080p per clip, and the output is silent, so add music or a voiceover in your editor or pick a model with native audio when sound matters. For longer pieces, generate several shots and cut them together.
Directing visual motion from prompts and still photos
Learning how to use Wan 2.7 starts with choosing how the clip begins: from a written prompt (text to video) or from one still photo (image to video). For text prompts, the model responds best to concrete physical description: the subject, what it does, which way it moves, and how the camera follows. Stating camera speed, framing and subject action gives it clear constraints. For Wan 2.7 image to video, upload one sharp image; the first frame follows your photo, and your prompt describes the motion that should happen from there. On OnVid you pick the duration (5 or 10 seconds) and the resolution (720p or 1080p), and text-to-video clips can be 16:9, 9:16 or 1:1. Everything runs in the browser, so there are no local dependencies, Python environments or model weights to install.
How Wan 2.7 compares to leading video models
Weighing Wan 2.7 vs Wan 3.0 comes down to inputs. On OnVid, Wan 2.7 handles text-to-video and single-image image-to-video, while Wan 3.0 adds multi-reference generation, guiding one clip with several images. Against the rest of the OnVid catalog, the differences are mostly about sound, resolution and price. Sora 2 and Veo 3.1 generate native audio with the picture, which Wan 2.7 does not. Kling 3 and Seedance 2 are popular picks for cinematic motion, and Kling 3 can add optional audio. The LTX-2 family is the one to check if you need 4K, since OnVid runs LTX 2.3 at 1080p or 4K. Luma Ray 3 is another option to compare, and the models page lists every engine side by side. On price, Wan 2.7 costs 100 credits per second at 720p, so a 5-second 720p clip is 500 credits, which puts it below models with native audio such as Veo 3.1. The fairest test is to run the same prompt on two or three models, keep the settings identical, and pick the take that fits your shot. Because every model on OnVid draws from the same credit balance, switching between them costs nothing extra beyond the clips you render.
Realistic camera movement and stylistic visual rendering
When asking what is Wan 2.7 good at, think in shots: cinematic tracking moves, slow push-ins, landscape pans, product turntables and stylized scenes all fit inside a 5 or 10 second clip. Realistic prompts benefit from concrete lighting and material detail, such as morning fog, wet asphalt or brushed metal, while stylized prompts like anime, concept art or retro film grain should name the style once and keep it consistent. Because the model understands common composition terms like wide-angle lens, shallow depth of field and over-the-shoulder framing, you can write prompts in the same language a director would use. Keep one subject and one camera move per clip for the most predictable results, and use vertical 9:16 framing when the clip is meant for Reels, Shorts or TikTok.
Access options, credit allocations, and duration limits
The model is part of OnVid's Pro and Max plans. Pro costs $6.99 a week or $13.99 a month, and Max costs $13.99 a week or $27.99 a month. Credits are charged per second of video: The model uses 100 credits per second at 720p and 160 at 1080p, so a 5-second clip costs 500 credits at 720p or 800 at 1080p, and a 10-second clip costs twice that. The same rates apply to text-to-video and image-to-video. If a generation fails due to a system error, your credits are refunded automatically, and HD downloads on Pro and Max carry no watermark. Commercial use depends on the model that made the video; check the OnVid Terms of Service and the model's terms before commercial use.
Getting the best quality out of each clip
Output quality depends on the settings you choose and how you prompt. Use 1080p for clips you plan to publish full-screen, and 720p for drafts and prompt tests, since it costs less per second. In image-to-video, the source photo sets the ceiling: a sharp, well-exposed image gives a cleaner result than a small or compressed one. Hands, small text and crowded scenes are the hardest things for any video model, so frame them simply or keep them out of the shot. Fast spins and large crowds can soften background detail, while a single foreground subject with a steady camera move tends to stay sharp. Lighting matters too: prompts that name a clear light source, such as low evening sun from the left or a single overhead lamp, tend to produce cleaner shadows and more stable faces than prompts that only ask for good lighting. Review each clip before you build on it, and regenerate with a tighter prompt rather than stacking corrections into one long description.
Prompt craft and composition techniques for Wan 2.7
Crafting a precise prompt for Wan 2.7 text to video requires clear spatial direction, lighting parameters, and subject action instead of abstract adjectives. Begin your prompt by establishing the primary subject, clothing, and initial posture. Next, define the specific physical action, specifying direction and pace, such as a steady walking stride toward camera left. Follow this with concrete camera staging, noting focal length, angle, and movement path like an eye-level slow push-in. Conclude with environmental atmosphere, mentioning time of day, primary light sources, and weather conditions. Avoid contradictory instructions, keyword stuffing, or vague qualitative terms like photorealistic and masterpiece, which give the model nothing concrete to follow. When you want specific color grading, name exact palettes such as cool slate tones with amber practical lamps. Structuring prompts with this disciplined framework makes your results more predictable.
See AI videos made with OnVid
Browse finished clips made with OnVid's AI video generator, then try the same idea with the model. Hover over any card to preview the motion.
Kling 3Seedance 2.0
Gemini Omni 1.1 FlashMiniMax H3Wan 2.7 questions, answered
Find clear answers about what the model does on OnVid, what it costs, and how to prompt it.
What is Wan 2.7?
Who makes Wan 2.7 Alibaba video technology?
Is Wan 2.7 free to use on OnVid?
How many credits does a Wan 2.7 video cost?
How does Wan 2.7 text to video work?
Can I transform still photos using Wan 2.7 image to video?
How to use Wan 2.7 inside OnVid's tool?
What video resolution and frame rate does Wan 2.7 output?
What is the maximum video length supported by Wan 2.7 on OnVid?
Does Wan 2.7 generate synchronized audio and speech?
How does Wan 2.7 vs Wan 3.0 compare?
Is Wan 2.7 good for realistic motion and multi-subject scenes?
Do I need my own GPU to run Wan 2.7?
Can I use videos generated by Wan 2.7 for commercial projects?
How fast does Wan 2.7 produce an AI video?
What should I do if a Wan 2.7 video generation fails?
Ready to bring your ideas to life in cinematic motion?
Type a prompt or upload a photo to create your first scene with the model on OnVid's Pro or Max plan.