ComfyUI News Roundup: Major Updates, SAM3 Nodes, and Video AI Breakthroughs in November 2025

Imagine firing up your ComfyUI setup and generating hyper-realistic videos or segmenting objects with pinpoint accuracy—all without wrestling with memory issues or outdated nodes. If you're deep into AI image and video creation, November 2025 has been a game-changer for ComfyUI users. With fresh core updates, innovative custom nodes, and cloud-based accessibility hitting the scene, the node-based powerhouse for Stable Diffusion workflows is evolving faster than ever. Why care? These advancements mean smoother AI pipelines, less frustration, and more creative freedom for artists, developers, and hobbyists alike.

In this roundup, we'll unpack the hottest ComfyUI news from the past few weeks, drawing on official releases and community buzz. From performance tweaks in the latest ComfyUI update to groundbreaking custom nodes like SAM3 integrations, here's what's shaking up the ecosystem.

Core Engine Updates: Powering Up Workflows and Stability

ComfyUI's core team has been on a roll, dropping three major versions in November alone—v0.3.68, v0.3.69, and the shiny v0.3.70 on November 19. These ComfyUI updates focus on making your Stable Diffusion workflows run like a dream, especially on resource-constrained setups.

Take v0.3.70, for instance. It introduces official support for CUDA 12.6, complete with streamlined portable downloads that simplify installation for GPU-heavy AI pipelines. According to the official ComfyUI changelog, this release also adds HunYuan 3D 2.0 compatibility, fixing nagging issues that plagued 3D model generation workflows (ComfyUI Documentation, 2025). No more crashes mid-render—your nodes will swap blocks seamlessly, and custom nodes integrate without the usual headaches.

But it's not just about new hardware love. Earlier in the month, v0.3.68 on November 5 rolled out a mixed precision quantization system, slashing VRAM usage for models like Flux and Qwen. This is huge for Stable Diffusion workflow enthusiasts running on consumer GPUs; imagine offloading models asynchronously without the dreaded out-of-memory errors. The update also enhances subgraph execution, letting you chain multiple runs in a single workflow for complex AI pipelines—think iterative refinements in image-to-video conversions without restarting from scratch.

v0.3.69, released November 18, builds on this momentum with pinned memory enabled by default for NVIDIA and AMD cards. It cuts memory overhead for video models and adds smart unloading when VRAM spikes. As reported in the changelog, the ScaleROPE node now plays nice with Flux, enabling rope scaling for WAN and Lumina models that supercharge text-to-image precision (ComfyUI Documentation, 2025). These tweaks aren't flashy, but they make everyday nodes feel snappier, turning clunky AI pipelines into fluid creative tools.

Community feedback echoes this: Users on Reddit noted extreme slowdowns post some updates, but the November patches addressed them head-on, restoring 20-30 second video generations to full speed (r/comfyui, 2025). If you've been tweaking Stable Diffusion workflows, updating to v0.3.70 is a no-brainer—your nodes will thank you.

Custom Nodes Revolution: SAM3 and Beyond for Smarter Segmentation

Nothing excites the ComfyUI crowd like custom nodes that push boundaries, and November delivered with the rapid rise of SAM3 integrations. Meta's Segment Anything Model 3 (SAM3) landed in ComfyUI via multiple open-source repos, turning text-prompt segmentation into a breeze for AI pipelines.

On November 20, developers released ComfyUI-SAM3, a plug-and-play extension for open-vocabulary image and video segmentation. As detailed on GitHub, this custom node pack lets you identify objects using natural language—like "red shirt" or "cat's face"—and outputs masks compatible with packs like Impact Pack SEGS (PozzettiAndrea/ComfyUI-SAM3, 2025). It's zero-shot, meaning no training needed, and supports interactive point editing for fine-tuned Stable Diffusion workflows. Early testers on Reddit raved about its speed on CUDA, with one user generating depth maps per segment in seconds (r/StableDiffusion, 2025).

Not stopping there, November 21 saw the debut of ComfyUI-SAM3DBody, wrapping SAM3 for 3D body mesh extraction from single images. This custom node recovers full human meshes, ideal for AR/VR or animation pipelines. GitHub docs highlight its compatibility with ComfyUI's 3D nodes, allowing seamless visualization and export to Blender (PozzettiAndrea/ComfyUI-SAM3DBody, 2025). Even on a 12GB RTX 3060, users reported quick renders, though high-VRAM setups (32GB+) shine for complex scenes (r/comfyui, 2025).

These SAM3 nodes aren't isolated; they tie into broader trends. A November 10 Vset3D article spotlighted ComfyUI's subgraphs as a shift toward modular AI pipelines, where nodes like these slot in effortlessly for tasks like object isolation in Stable Diffusion workflows (Vset3D, 2025). Meanwhile, the ComfyUI-TBG-SAM3 variant adds exhaustive mask generation and global depth mapping, auto-installing dependencies for hassle-free setup (Ltamann/ComfyUI-TBG-SAM3, 2025). If your workflows involve inpainting or compositing, these custom nodes are a must-try—expect them to dominate holiday projects.

Video Generation Leaps: Hunyuan, WAN, and Cloud Accessibility

Video AI has been the star of ComfyUI news this month, with integrations that blur the line between images and motion. Tencent's HunyuanVideo-1.5, released November 20, brings high-fidelity text-to-video straight to ComfyUI. Hugging Face's model page confirms inference code and weights optimized for the platform, supporting durations up to 20 seconds with smooth Stable Diffusion-style pipelines (Tencent/HunyuanVideo-1.5, 2025). Nodes for img2vid and txt2vid now handle multilingual prompts, making global creators happy.

Complementing this, ComfyUI.org's news collection highlights updates to WAN 2.1 and Hunyuan Image-to-Video models, revolutionizing video workflows with better temporal consistency (ComfyUI.org, 2025). These nodes fix common pitfalls like flickering, letting you build AI pipelines that output cinema-quality clips from simple node graphs.

Accessibility got a boost too. On November 5, Comfy Cloud entered public beta, offering browser-based ComfyUI without local installs. As announced on the official site, it supports full workflows, custom nodes, and even LTX-2 model integration for quick video gen (Comfy.org, 2025). Perfect for collaborators or low-spec machines, this cloud shift democratizes advanced Stable Diffusion workflows—upload a JSON, tweak nodes remotely, and export results.

A November 5 Vestig article ties it together, praising how these video-focused ComfyUI updates enhance custom nodes for hybrid image-video AI pipelines (Vestig.oragenai, 2025). Whether you're chaining SAM3 segmentation with Hunyuan video or running subgraphs in the cloud, November's tools make pro-level output accessible.

Looking Ahead: The Evolving Landscape of Node-Based AI

November 2025's ComfyUI news paints a picture of maturity: From v0.3.70's rock-solid performance to SAM3's segmentation wizardry and Hunyuan's video prowess, the platform is outpacing competitors in flexibility. These updates don't just fix bugs—they empower creators to experiment with AI pipelines that were once pipe dreams.

Yet, challenges linger. Community threads warn of custom node breaks post-update, urging backups of working configs (Apatero Blog, 2025). As ComfyUI scales, expect more focus on AMD/ROCm support and ethical AI integrations.

What's next? With Comfy Cloud scaling and nodes like SAM3 evolving, 2026 could see ComfyUI as the go-to for real-time collaborative workflows. If you're building Stable Diffusion setups, dive in now—the future of node-based creation is here, and it's modular, powerful, and endlessly customizable. What will you generate first?

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