ByteDance-Seed/SeedVR

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1334 stars · 80 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SeedVR/SeedVR2 are diffusion-transformer based models for generic real-world and AIGC video and image restoration, with SeedVR2 using adversarial post-training to achieve one-step high-resolution restoration. The repo provides model code, inference scripts, and pretrained weights.

Use cases

• restore degraded real-world videos
• upscale and enhance AIGC-generated video to 1080p
• one-step fast video restoration
• restore small faces and text in low-quality video
• high-resolution video enhancement without patch artifacts

When to choose

• you need state-of-the-art diffusion-based video restoration
• you want fast one-step inference at high resolutions
• you need arbitrary-resolution restoration without fixed 512/1024 limits

When to avoid

• you lack a capable GPU
• you need lightweight real-time enhancement on CPU
• you only need simple classical denoising or deblocking

Facets

library · maturity active

video-processing image-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python diffusion-transformer video-restoration image-restoration one-step-diffusion video-upscaling research-model video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ByteDance-Seed/SeedVR")