ByteDance Seed

ByteDance Seed

ByteDance
Wan2.2

Wan2.2

Alibaba
+
+

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About

Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.

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

Developers and research teams needing a code generation model tool that reduces latency compared to traditional autoregressive systems while maintaining competitive benchmark performance

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

ByteDance
Founded: 2012
China
seed.bytedance.com/en/seed_diffusion

Company Information

Alibaba
Founded: 1999
China
wan.video

Alternatives

Seed2.0 Pro

Seed2.0 Pro

ByteDance

Alternatives

LTX

LTX

Lightricks
Gemini Diffusion

Gemini Diffusion

Google DeepMind
Mercury Coder

Mercury Coder

Inception Labs
Mercury 2

Mercury 2

Inception
Kling 2.5

Kling 2.5

Kuaishou Technology

Categories

Categories

Integrations

Fuser
WaveSpeedAI
graphis
AIReel
AnyAPI
C++
Citlyze
ComfyUI
Flyne AI
Go
Java
Lucy Edit AI
Magica
Python
SiliconFlow
TESS AI
Wan AI
ZOOOP

Integrations

Fuser
WaveSpeedAI
graphis
AIReel
AnyAPI
C++
Citlyze
ComfyUI
Flyne AI
Go
Java
Lucy Edit AI
Magica
Python
SiliconFlow
TESS AI
Wan AI
ZOOOP
Claim ByteDance Seed and update features and information
Claim ByteDance Seed and update features and information
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Claim Wan2.2 and update features and information