Qwen AI Video Generator

What is the Qwen AI Video Generator?

The Qwen AI video generator is the video-generation capability inside Qwen Chat, powered by Alibaba's Wan model family the dedicated video foundation models that sit alongside the Qwen language models in Alibaba's AI stack. While "Qwen" technically refers to the language models and "Wan" refers to the video models, in the consumer experience they're fully integrated: open Qwen Chat, click the video tool, type a prompt, and you get a generated video back. Most users refer to the whole thing as "Qwen video" or "Qwen AI video generator."

The current production version available to most users is Wan 2.5, with Wan 2.6 and the cutting-edge Wan 2.7 rolling out through 2026. Wan 2.5 generates 10-second videos at up to 1080p / 24 fps with native synchronized audio meaning the model produces video and matching sound (dialogue, sound effects, ambient noise) in a single pass, no separate TTS step required. Wan 2.6 extends this to 15-second clips with multi-shot storytelling and character consistency, and Wan 2.7 adds first-and-last frame control, 3×3 grid synthesis, and instruction-based video editing.

What sets the Qwen/Wan video generator apart from competitors like OpenAI Sora, Google Veo 3, and Kling 2.5 is the combination of open-source weights, free hosted access, and native audio. The Wan 2.2 weights are openly downloadable from Hugging Face (you can self-host), the latest versions are available free at chat.qwen.ai, and the audio-video synchronization is genuinely competitive with paid frontier tools. For creators who want to experiment with AI video without paying or installing anything, this is one of the strongest options available in 2026.

Demo: From Prompt to Video

Here's roughly what the experience looks like inside Qwen Chat. You type a detailed prompt describing the scene, camera movement, lighting, and mood, and Wan generates a video that interprets all of it together including matching audio.

That single prompt produces a coherent 10-second clip with the camera movement, the lighting and reflections, the sound of sizzling and rain, and a believable scene composition. The model interprets cinematographic vocabulary ("push-in," "slow," "from across the street") correctly, which means well-written prompts produce dramatically better results than vague ones. Try it yourself at chat.qwen.ai pick the video generation mode and start with a specific, detail-rich prompt.

Key Features

The Qwen video generator has been evolving rapidly across versions. Here's what the current production stack supports:

Wan Version Timeline

The Wan video model family has shipped a major version roughly every quarter through 2025–2026. Here's the lineage:

For most users, the version you actually use depends on how you access the model: Wan 2.7 in Qwen Chat for the latest hosted experience, Wan 2.5 via API at competitive pricing through DashScope and third-party providers, or Wan 2.2 open weights from Hugging Face if you want to self-host on your own GPU.

How to Use the Qwen Video Generator

The fastest path is the hosted experience in Qwen Chat. No install, no setup.

1. Go to chat.qwen.ai and sign in (Google, GitHub, or email all free).
2. Start a new chat and look for the video generation tool. It may appear as a "Video" toggle in the input area or under a "Generate" menu depending on the current UI version.
3. Choose your input mode: text-to-video (just a prompt) or image-to-video (upload a reference image plus an optional prompt to describe the motion).
4. Write a detailed prompt. See the prompting tips below specificity is everything.
5. Pick settings like aspect ratio (16:9, 9:16 for vertical, 1:1 for square), duration (5s, 10s, or 15s depending on version), and style if available.
6. Click Generate and wait. Generation typically takes 30 seconds to 3 minutes depending on settings and current queue load.
7. Preview, download, or iterate. If the result isn't quite right, refine the prompt and regenerate. Wan picks up on prompt changes well, so iteration is fast.

Qwen AI Video Generator Price

The Qwen AI video generator has one of the most flexible pricing structures in the AI video category there's a genuine free path, a pay-as-you-go API for production use, and free open-weight models you can self-host. Here's how the three options compare:

For the hosted DashScope API, pricing is billed per second of generated video rather than per token, which is the standard for video models industry-wide. Approximate rates as of early 2026:

• Wan 2.5 (1080p, with audio): roughly $0.30–0.40 per second of output, so a 10-second clip costs about $3–4.
• Wan 2.6 / 2.7 (1080p, with audio): slightly higher, around $0.45–0.60 per second for premium quality and advanced features like first-and-last frame control.
• Wan 2.2 hosted (720p): the cheapest hosted option at roughly $0.10–0.15 per second.
• Image-to-video: typically the same per-second rate as text-to-video; the input image doesn't add cost.

Compared to competitors, this pricing is genuinely competitive. OpenAI Sora requires a $200/month ChatGPT Pro subscription for serious access. Google Veo 3 is bundled into Gemini Advanced at $19.99/month with usage limits. Runway Gen-4 charges roughly $0.50 per second on similar plans. Kling 2.5 uses credit-based billing that works out to similar per-second economics. Wan via DashScope tends to be among the cheapest hosted options at comparable quality, and it's the only major provider where the entry tier is genuinely free with no credit card.

Qwen AI Video Generator FREE APK

If you want to generate Qwen AI videos directly from your Android phone, the official Qwen app which includes the video generator is available as a free APK. There are two ways to install it depending on whether your region has Play Store access:

Option 1 Google Play Store (recommended)

1. Open the Google Play Store on your Android device (Android 8.0 / Oreo or later required).
2. Search for "Qwen" and find the app published by Qwen Team / Alibaba Group.
3. Tap Install the download is roughly 100–150 MB.
4. Open the app, sign in (Google, GitHub, or email all free), and look for the video generation tool.

Option 2 Sideload the APK (for unsupported regions)

If the Play Store doesn't show the Qwen app in your country, the official Android APK is mirrored on Uptodown the same signed build the Play Store distributes, just available as a direct download:

1. On your Android phone, open qwen.en.uptodown.com/android in your browser.
2. Tap Download and approve the file save.
3. Open Android Settings → Apps → Special access → Install unknown apps and grant permission to your browser temporarily.
4. Open the downloaded .apk file from your Downloads folder and tap Install.
5. Launch the Qwen app, sign in with your free account, and start generating videos.

The APK is completely free there's no purchase, no in-app payment required for the video generator, and no signup wall beyond a basic free account. Video generation rate limits apply on the free tier (a few generations per day) but the cap is generous enough for casual experimentation.

What you get in the free APK

• Full video generator access both text-to-video and image-to-video modes.
• Up to 1080p output on supported devices with adequate storage.
• Native audio generation with the latest Wan versions.
• Vertical (9:16) aspect ratio built in perfect for TikTok and Reels straight from your phone.
• Sync across devices videos you generate on your phone appear in your account on web and desktop.
• The rest of Qwen Chat chat, image generation, voice mode, document analysis, Deep Research all bundled in the same free app.

Qwen AI Video Generator Free Without Watermark

One of the most common questions about free AI video generators is whether the output has a watermark on it. For Qwen / Wan, the short answer is encouraging:

Videos generated through Qwen Chat (chat.qwen.ai) and the official Qwen mobile apps do not have a visible watermark overlaid on the output. You can download a generated clip and use it as-is no logo, no branding strip, no "made with AI" stamp in the corner. This makes Wan one of the cleanest free video generators in the market, where competitors like the free tiers of Runway, Pika, and Kling typically stamp their logos onto exported clips.

A few important nuances worth knowing:

• Invisible watermarks may still be embedded. Like most major AI video models in 2026, Wan outputs include invisible cryptographic watermarks (C2PA-style provenance metadata) that identify the video as AI-generated. These don't affect visual quality you can't see them but tools and platforms can detect them to verify AI origin. This is increasingly standard across the industry and is required by regulation in some jurisdictions.
• Third-party Wan front-ends may add their own watermarks. If you're using Wan through Bylo.ai, WaveSpeed, or another third-party UI, that site may overlay its own logo on free-tier outputs. Always use the official Qwen Chat at chat.qwen.ai or the official Qwen mobile app if you want clean, unbranded output.
• Self-hosted Wan 2.2 outputs are watermark-free. If you run the open-weight Wan 2.2 model on your own hardware via ComfyUI or Diffusers, the generated video has no overlay watermark and no embedded provenance metadata (unless you choose to add it).
• Commercial use is generally allowed for both hosted Wan outputs and the open-weight model. Check the current Alibaba Cloud Terms of Service for the hosted version and the LICENSE file in the Hugging Face Wan-AI repository for the open-weight models. Most use cases social media content, marketing, personal projects are permitted.

How to ensure you get a watermark-free download

1. Generate the video on the official Qwen Chat at chat.qwen.ai or in the official Qwen mobile app not on a third-party site.
2. After generation completes, click the download button on the video preview (usually a downward arrow icon).
3. The downloaded .mp4 file will not have a visible watermark overlay. You can edit, repost, or repurpose it freely.
4. For sensitive commercial uses, double-check the current Terms of Service on the Alibaba Cloud Model Studio site terms occasionally change with new releases.

This combination free, high-quality, watermark-free, native audio, commercial use allowed is what makes Qwen's video generator stand out from most free competitors in 2026. Tools like Runway and Pika put their logos on free output specifically to convert users to paid plans; Alibaba's strategy of giving away the consumer experience to drive ecosystem adoption means you don't pay that "watermark tax" on Wan.

Qwen AI Image-to-Video Generator

The image-to-video mode is one of the most useful features of the Qwen video generator and is often what people are actually looking for when they search for "AI video." Instead of generating a video from scratch based on a text description, you provide a starting image (a photo, a painting, an AI-generated image, anything) and a text prompt describing what should happen. Wan animates the image into a video that preserves the original look while adding motion.

What image-to-video is good for

• Animating photos make a portrait blink and smile, a landscape sway in the wind, a still life come alive.
• Product visualization take a product shot and add a 360° rotation, a zoom-in, or a hand reaching for it.
• Bringing AI-generated images to life generate an image with Qwen-Image, Midjourney, or DALL·E, then animate it with Wan in the same workflow.
• Style consistency when you need motion that exactly matches a specific visual style, starting from a reference image is far more reliable than text-only prompting.
• Historical and archival animation turn old photographs into short living moments. (This is the use case that went viral when Wan 2.5 launched.)

How to use image-to-video in Qwen Chat

1. Open chat.qwen.ai and sign in.
2. Start a new chat and select the video generation tool, then switch the mode to image-to-video.
3. Upload your reference image. JPG and PNG both work. For best results, use a clear image with a defined subject and good lighting. Square or 16:9 images work best; very tall portraits can produce odd cropping.
4. Write a motion prompt describing what should happen. Example: "The woman in the photo slowly turns her head to the left, smiles softly, then looks back at the camera. Slight wind blowing her hair. Camera holds steady."
5. Optionally add audio cues if you want native audio: "Soft ambient outdoor sounds, distant birdsong."
6. Pick duration and aspect ratio, then click Generate.
7. Wait 30 seconds to 3 minutes for the result, then download or iterate.

Image-to-video prompting tips

Different rules apply here than for pure text-to-video, because the image already defines the visual content. Focus on describing motion, not appearance:

• Describe what moves, not what's in the image. The model already sees the image; telling it "a woman in a red dress" wastes prompt budget. Tell it "she turns her head and looks up."
• Describe camera motion separately from subject motion. "The camera slowly pushes in" is independent from "the dog jumps up." Including both in the prompt produces more cinematic results.
• Be conservative with motion intensity. "Subtle breeze," "soft smile," "gentle drift" produce more believable results than "dramatic explosion of movement." AI video models are still better at small motions than large ones.
• Keep the subject identifiable. If you want the person in the photo to remain recognizable, avoid prompts that would change their pose or expression dramatically Wan handles micro-expressions well but can drift identity on large changes.
• For products, specify the action exactly. "The bottle rotates 90° clockwise revealing the back label" works better than "show all sides of the product."

API example for image-to-video

If you're integrating image-to-video into your own application, here's a minimal Python example using DashScope:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

response = client.videos.generate(
    model="wan2.5-i2v",  # image-to-video variant
    prompt=(
        "The woman slowly turns her head to the left and smiles. "
        "Soft wind blowing her hair. Camera holds steady. "
        "Quiet outdoor ambient sound."
    ),
    image_url="https://your-cdn.com/portrait.jpg",
    duration=5,
    aspect_ratio="9:16",
    audio=True,
)

print(response.video_url)

For self-hosting, the Wan 2.2 I2V-A14B model (image-to-video) is openly available from huggingface.co/Wan-AI and integrated into ComfyUI, Diffusers, and the Wan2GP front-end. Hardware requirements are similar to text-to-video a single high-VRAM GPU for the smaller variants, multi-GPU for the full A14B model.

Prompting Tips for Better Videos

AI video models reward thoughtful prompting more than any other generative AI category. A great prompt routinely produces 3–5× better output than a generic one. A few principles that consistently improve results:

Describe the camera, not just the subject

"A dog running" produces a generic shot. "A golden retriever running through tall grass, low-angle tracking shot, golden hour backlight, shallow depth of field" produces a specific, cinematic shot. Always include camera movement (push-in, pull-out, tracking, static, handheld), angle (low, eye level, overhead, Dutch tilt), and lens characteristics (wide, telephoto, depth of field).

Include lighting and time of day

Lighting carries an enormous amount of mood. "Soft morning light," "harsh midday sun," "golden hour," "moonlight," "neon-lit," "candlelit" each produces fundamentally different output. Combine lighting with time of day for compound effect: "golden hour, looking into the sun" implies specific lens flares and silhouettes.

Specify motion clearly

Video is fundamentally about motion, but vague motion descriptions ("moving") produce mush. Be specific: "walking slowly," "sprinting," "drifting," "spinning clockwise," "tilting back." For camera motion, name the technique: pan, tilt, dolly, crane, gimbal.

Add sound cues for native-audio versions

In Wan 2.5+, you can describe the audio you want: "ambient rain on pavement," "distant traffic," "soft jazz playing," "footsteps echoing." The model generates synchronized audio matching your description. Without explicit sound cues, you'll still get some ambient audio, but specifying gives you control.

Use the style modifiers

Append style descriptors at the end: "cinematic," "anime style," "Pixar 3D," "watercolor animation," "shot on 35mm film," "documentary handheld." These dramatically alter the visual treatment without affecting the underlying scene.

Iterate by changing one variable

If a video almost works, change one thing in the prompt and regenerate. Don't rewrite from scratch. Models pick up on subtle prompt changes, so swapping "morning light" for "evening light" or "tracking shot" for "static wide" lets you converge on what you want faster.

API Access for Developers

If you want to integrate Wan video generation into your own application, the same models are exposed through Alibaba Cloud's DashScope API. The integration is straightforward set your API key, send a prompt, get back a video URL.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
)

# Note: video generation uses a specialized endpoint, not chat completions
response = client.videos.generate(
    model="wan2.5-t2v",
    prompt=(
        "A street vendor in Tokyo grilling skewers at night, "
        "neon signs reflecting in puddles, slow camera push-in, "
        "ambient city sounds, sizzling meat, light rain"
    ),
    duration=10,
    resolution="1080p",
    aspect_ratio="16:9",
    audio=True,
)

# response.video_url contains the rendered output
print(response.video_url)

For image-to-video, you pass a reference image alongside the prompt:

response = client.videos.generate(
    model="wan2.5-i2v",
    prompt="The dog turns its head and barks twice",
    image_url="https://example.com/my-dog.jpg",
    duration=5,
    audio=True,
)

Video generation pricing is typically billed per second of output rather than per token. Exact rates change frequently check the DashScope pricing page for current numbers. Third-party aggregators like WaveSpeed, Bylo.ai, and OpenRouter also expose Wan models with their own pricing structures, often with free trial credits.

Self-Hosting (Open Weights)

For developers and researchers who want to run the models on their own hardware, the Wan 2.1 and 2.2 weights are openly available. This is the path for full control, no usage limits, and no per-second billing at the cost of needing serious GPU hardware.

Hardware requirements

• Wan 2.2 TI2V-5B (entry-level): Generates 720p video on a single RTX 4090 (24 GB VRAM) in under 9 minutes per clip. Practical for hobbyists.
• Wan 2.2 T2V-A14B / I2V-A14B (production): Needs multi-GPU setup (typically 4–8× A100/H100) for reasonable generation times.
• Wan 2.5+ (latest): Not openly released; available only via the hosted API.

Easiest ways to run Wan locally

• ComfyUI: The most popular front-end for diffusion video models. Wan 2.2 is integrated officially drop a workflow file, install the custom nodes, and you're generating in minutes.
• Wan2GP: A fast, GPU-poor-friendly fork (github.com/deepbeepmeep/Wan2GP) specifically optimized for consumer GPUs with low VRAM, supporting Wan 2.1/2.2, Qwen Image, Hunyuan, and Flux all in one tool.
• Hugging Face Diffusers: The standard Python library, with first-party support for Wan 2.2 T2V, I2V, and TI2V variants. Best for custom pipelines.
• Official Wan2.2 repo: github.com/Wan-Video/Wan2.2 has inference scripts, training code, and the most up-to-date prompts/configurations.

A minimal local generation command using the official repo:

# Clone and set up
git clone https://github.com/Wan-Video/Wan2.2.git
cd Wan2.2
pip install -r requirements.txt

# Download Wan 2.2 weights from Hugging Face
huggingface-cli download Wan-AI/Wan2.2-T2V-A14B \
    --local-dir ./Wan2.2-T2V-A14B

# Generate a video (8-GPU example)
torchrun --nproc_per_node=8 generate.py \
    --task t2v-A14B \
    --size 1280*720 \
    --ckpt_dir ./Wan2.2-T2V-A14B \
    --dit_fsdp --t5_fsdp --ulysses_size 8 \
    --prompt "Two cats in boxing gloves fighting on a spotlit stage"

Qwen Video vs Sora, Veo, and Kling

Honest takes on how Qwen's Wan model stacks up against the main competitors:

vs OpenAI Sora: Sora produces the most consistent, photorealistic output and handles long-form narratives better than Wan. Wan wins on accessibility Wan 2.5/2.7 is free on Qwen Chat with reasonable limits, while Sora is gated behind ChatGPT Pro at $200/month for serious access.

vs Google Veo 3 / Veo 3.1: Veo 3 is the current gold standard for native audio quality and cinematic realism. Wan 2.7 is genuinely competitive, especially for stylized content (anime, illustration, painterly), and dramatically cheaper. For pure photoreal output with the most natural dialogue, Veo still wins; for cost and accessibility, Wan wins.

vs Kling 2.5 / Kling 3: Kling is the strongest direct competitor in the same price/quality bracket. Kling tends to produce slightly more polished motion and human anatomy; Wan tends to handle complex prompts with multiple subjects more reliably and has stronger Chinese-language understanding. For most users, the choice comes down to which UI you prefer.

vs Runway Gen-4: Runway has the best editing tools and post-production workflow integration. Wan's generation quality is competitive, but Runway's broader feature set (multi-motion brush, lip sync, custom training) appeals to professional editors. For one-shot generation, Wan is comparable at a fraction of the cost.

For users who want one free, high-quality video generator that does most things well, Wan via Qwen Chat is genuinely the strongest free option in 2026.

Use Cases

The combination of free hosted access, native audio, and good prompt adherence opens up several practical applications.

Social media content is the most common use short vertical clips for TikTok, Instagram Reels, and YouTube Shorts. The 9:16 aspect ratio plus native audio means you can produce a polished 10-second clip without ever opening a video editor.

Marketing and ads benefit from Wan's strong product visualization and text rendering. Generate a product shot with motion, brand colors, and tagline overlay in one pass. The text rendering quality from Qwen-Image carries over into the video models, which is unusual in this category.

Music videos and lyric videos work surprisingly well describe the song's mood, the visual concept, and the kind of imagery you want, and Wan generates clips that sync naturally to your audio when edited together.

Concept and pre-visualization for filmmakers, storyboarders, and game designers. Quickly test how a scene might look with specific lighting, camera angles, or art direction before committing to a real shoot.

Educational and explainer content uses Wan to visualize abstract concepts historical events, scientific phenomena, fictional scenarios at a quality and speed that traditional animation can't match.

Personal creative projects round out the list. Animate a family photo, create a short visual story, experiment with a wild idea. The "free + fast" combination makes Wan feel more like a playground than a production tool, which is exactly the point.

FAQ

Is the Qwen AI video generator really free?

Yes. The hosted video generation inside Qwen Chat is free with reasonable per-day limits. For heavy use, the paid DashScope API charges per second of output, and the open-weight Wan 2.2 models can be self-hosted for free if you have the GPU hardware.

How long can the generated videos be?

Wan 2.5 generates clips up to 10 seconds. Wan 2.6 and 2.7 extend this to 15 seconds with multi-shot storytelling. For longer videos, you typically generate multiple clips and stitch them together the model handles character consistency well enough to make this work for short-form content.

What resolution and frame rate?

Wan 2.5+ produces up to 1080p at 24 fps. Older Wan 2.2 maxes out at 720p but is openly downloadable. The TI2V-5B variant of Wan 2.2 can generate 720p on a single RTX 4090.

Does it really generate native audio?

Yes starting with Wan 2.5. The model produces video and matching audio (ambient sound, sound effects, sometimes dialogue) in a single generation pass, with proper synchronization to on-screen events. Quality varies; sound effects and ambient audio work better than complex dialogue, which is still inconsistent in this category.

Can I commercially use videos generated by Qwen?

The Wan 2.2 open-weight models are released under permissive licenses that generally allow commercial use check the specific LICENSE file in each Hugging Face repository. For the hosted Wan 2.5/2.7 versions through Qwen Chat and the API, check the current Alibaba Cloud Terms of Service; commercial use is typically allowed but specific clauses vary.

Why are my generations slow or queued?

The hosted Qwen Chat video generator runs on shared infrastructure, so peak-hour generations can queue for a few minutes. For consistent low-latency output, use the DashScope API directly (paid, dedicated capacity) or self-host the open weights.

What hardware do I need to self-host?

For Wan 2.2 TI2V-5B (the consumer-friendly variant), a single RTX 4090 with 24 GB VRAM is enough for 720p generation in under 10 minutes per clip. For the full A14B models, plan on multi-GPU server setups (4–8× A100/H100). Wan 2.5+ is not openly released for self-hosting.

Can I edit existing videos with Wan?

Wan 2.7 introduces instruction-based video editing, where you provide an existing video plus a natural-language edit instruction ("make it sunset," "remove the car," "change to anime style"). This feature is hosted-only and is one of the highlights of the 2.7 release.

Does it support vertical (9:16) video for TikTok / Reels?

Yes. All current Wan versions support 16:9 (widescreen), 9:16 (vertical), and 1:1 (square) aspect ratios. Pick the one matching your target platform when configuring the generation.

Where can I see official examples and updates?

The official channels are chat.qwen.ai for the hosted experience, github.com/Wan-Video/Wan2.2 for the open-source code, Hugging Face Wan-AI org for model weights, and qwenlm.github.io for technical blog posts and release notes.

Final Thoughts

The Qwen AI video generator powered by Alibaba's Wan model family is one of the strongest free AI video tools available in 2026. The combination of cinematic quality, native audio synchronization, broad style support, and zero-cost access via Qwen Chat makes it the obvious default for anyone exploring AI video generation. The open-weight releases of Wan 2.1 and 2.2 mean the technology is also genuinely accessible for self-hosting and customization, which is unusual at this quality level.

The easiest way to evaluate it is to just try it. Open chat.qwen.ai, enable video generation, write a detailed prompt with camera movement and lighting cues, and see what comes back. Five minutes later you'll have a sense of whether Wan belongs in your creative workflow and unlike most AI video tools, you won't have spent a cent to find out.