🚀 SeedVR2 v2.5 Video Upscaling Guide: Official ComfyUI Integration & New Features

Discover the latest updates in SeedVR2 v2.5, including a modular 4-node architecture, VAE tiling, GGUF quantization for 8GB GPUs, and more. Learn how to leverage these enhancements for superior video upscaling!

AInVFX5.7K views01:11:48

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🎬 SeedVR2 has evolved! Version 2.5 brings a complete architectural redesign with modular 4-node system, VAE tiling, GGUF quantization support for 8GB GPUs, Apple Silicon support, and much more. This major update (breaking change) transforms how we approach AI video upscaling with better memory management, native alpha support, and powerful batch processing capabilities—all now easily installable through ComfyUI Manager. After four months of development driven by your feedback, testing, and contributions, we've rebuilt SeedVR2 integration from the ground up. You helped us identify every memory leak, every edge case, every workflow bottleneck. This isn't just an update—it's what we built together after you showed us every way to break it and helped us fix it. 🔥 What you'll learn: - Set up v2.5 through ComfyUI Manager and troubleshoot installation conflicts - Navigate the new 4-node architecture: why we split it and how each node works - Run 7B models on 8GB VRAM using GGUF quantization (Q4_K_M, Q8_0 explained) - Configure BlockSwap properly: understanding blocks, swap ratios, and I/O components - Master the batch_size formula (4n+1) and why batch_size=5 is your minimum - Set up torch.compile for 20-40% speedup (when it helps vs when it doesn't) - VAE tiling strategies: separate encode/decode tiles for optimal memory usage - Image upscaling: from simple workflows to advanced alpha channel preservation - Video processing: temporal consistency, frame prepending, uniform batching - CLI mastery: batch processing folders, multi-GPU rendering, model caching - Memory optimization: debug mode, VRAM tracking, and fixing OOM errors - Production techniques: resolution limits, max_resolution safety nets, noise injection tuning - Real workflow examples at different VRAM levels (8GB, 16GB, 24GB+) 📊 Timestamps: 0:00 Introduction 0:47 ComfyUI Manager installation (now official!) 2:59 Simple image upscaling 7:07 Command Line Interface (CLI) for image upscaling 8:50 Advanced image upscaling techniques 30:46 Join our monthly Masterclass & mentoring sessions! 30:57 Video upscaling workflow 47:24 CLI for video upscaling 49:50 Speed optimizations 1:07:36 Advanced CLI techniques 1:11:23 Outro ❤️ Support our work If you found this video helpful and want to support more open-source content like this, any contribution helps us continue creating in-depth guides for the community: https://www.ainvfx.com/donate/ Every donation enables us to dedicate more time to research, testing, and sharing knowledge. Thank you for being part of this journey! *🔗 Workflow & Resources:* - Complete workflows available directly in ComfyUI's Template Manager - Read the full article: https://www.ainvfx.com/blog/seedvr2-v2-5-the-complete-redesign-that-makes-7b-models-run-on-8gb-gpus/ **SeedVR2 Implementation:** - Official ComfyUI integration GitHub: https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler - ComfyUI Registry: https://registry.comfy.org/nodes/seedvr2_videoupscaler - Installation Guide: https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler#-installation **SeedVR2 Research:** - Project Page: https://iceclear.github.io/projects/seedvr2/ - SeedVR Paper: https://arxiv.org/abs/2501.01320 - SeedVR2 Paper: https://arxiv.org/abs/2506.05301 - Official Project GitHub: https://github.com/ByteDance-Seed/SeedVR **Dependencies & Tools:** - Triton (for torch.compile): https://github.com/openai/triton - Flash Attention 2 (optional): https://github.com/Dao-AILab/flash-attention *🌐 Follow AInVFX:* - Website: https://www.ainvfx.com - LinkedIn: https://www.linkedin.com/company/ainvfx - Instagram: https://www.instagram.com/ainvfxcom - Facebook: https://www.facebook.com/ainvfxcom - TikTok: https://www.tiktok.com/@ainvfxcom - GitHub: https://www.github.com/AInVFX #SeedVR2 #VideoUpscaling #ComfyUI #GGUF #TorchCompile #AIUpscaler #ByteDance #MachineLearning #VFX #VideoProduction #OpenSource #Tutorial #AInVFX #4KUpscaling #BlockSwap #AI --- *💡Why this matters* Version 2.5 represents what's possible when developers and community work together. Every optimization came from a real user hitting a real limit. Every feature addresses someone's production bottleneck. The result isn't just faster or more efficient—it's accessible. Whether you're running a H100 or a laptop with 8GB VRAM, video upscaling with SeedVR2 is now within reach. --- *💫 Who is AInVFX* Led by Adrien, former Head of Effects at Wētā FX with credits on Avatar, Game of Thrones, and The Hobbit, AInVFX cuts through the hype to deliver what actually matters: practical insights, ethical implementations, and real-world applications that empower artists and studios with AI tools. We bridge the gap between cutting-edge research papers and production-ready tools, helping VFX and Animation professionals navigate this transformative era. Because the future of VFX isn't just about technology - it's about keeping humanity and creativity at the heart of everything we do.
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