Qwen2.5-VL

Qwen2.5-VL

Alibaba
Wan2.2

Wan2.2

Alibaba
+
+

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About

Qwen2.5-VL is the latest vision-language model from the Qwen series, representing a significant advancement over its predecessor, Qwen2-VL. This model excels in visual understanding, capable of recognizing a wide array of objects, including text, charts, icons, graphics, and layouts within images. It functions as a visual agent, capable of reasoning and dynamically directing tools, enabling applications such as computer and phone usage. Qwen2.5-VL can comprehend videos exceeding one hour in length and can pinpoint relevant segments within them. Additionally, it accurately localizes objects in images by generating bounding boxes or points and provides stable JSON outputs for coordinates and attributes. The model also supports structured outputs for data like scanned invoices, forms, and tables, benefiting sectors such as finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B sizes, Qwen2.5-VL is accessible through platforms like Hugging Face and ModelScope.

About

Wan2.2 is a major upgrade to the Wan suite of open video foundation models, introducing a Mixture‑of‑Experts (MoE) architecture that splits the diffusion denoising process across high‑noise and low‑noise expert paths to dramatically increase model capacity without raising inference cost. It harnesses meticulously labeled aesthetic data, covering lighting, composition, contrast, and color tone, to enable precise, controllable cinematic‑style video generation. Trained on over 65 % more images and 83 % more videos than its predecessor, Wan2.2 delivers top performance in motion, semantic, and aesthetic generalization. The release includes a compact, high‑compression TI2V‑5B model built on an advanced VAE with a 16×16×4 compression ratio, capable of text‑to‑video and image‑to‑video synthesis at 720p/24 fps on consumer GPUs such as the RTX 4090. Prebuilt checkpoints for T2V‑A14B, I2V‑A14B, and TI2V‑5B stack enable seamless integration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI researchers, developers, and enterprises seeking a powerful vision-language model for advanced image analysis, document processing, and multimodal AI applications

Audience

Researchers and developers in computer vision and generative AI seeking a solution for high‑quality, efficient video synthesis

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-vl/

Company Information

Alibaba
Founded: 1999
China
wan.video

Alternatives

Dexit

Dexit

314e Corporation

Alternatives

LTX

LTX

Lightricks
Qwen3-VL

Qwen3-VL

Alibaba
Qwen2-VL

Qwen2-VL

Alibaba
ModelScope

ModelScope

Alibaba Cloud
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

AIReel
Alibaba Cloud
BLACKBOX AI
ComfyUI
Fuser
Hugging Face
LM-Kit.NET
Lucy Edit AI
ModelScope
Parasail
Qwen Studio
SiliconFlow
Wan AI
WaveSpeedAI
graphis
kluster.ai

Integrations

AIReel
Alibaba Cloud
BLACKBOX AI
ComfyUI
Fuser
Hugging Face
LM-Kit.NET
Lucy Edit AI
ModelScope
Parasail
Qwen Studio
SiliconFlow
Wan AI
WaveSpeedAI
graphis
kluster.ai
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