ComfyUI — an open-source, node-based graphical interface for working and constructing generative AI workflows for content material creation — revealed main updates this previous month, together with as much as 40% efficiency enhancements for NVIDIA RTX GPUs, and assist for brand new AI fashions together with Wan 2.2, Qwen-Picture, FLUX.1 Krea [dev] and Hunyuan3D 2.1.
NVIDIA additionally launched NVIDIA TensorRT-optimized variations of well-liked diffusion fashions like Secure Diffusion 3.5 and FLUX.1 Kontext as NVIDIA NIM microservices, permitting customers to run these fashions in ComfyUI as much as 3x quicker and with 50% much less VRAM.
Plus, an replace to NVIDIA RTX Remix — a platform that lets modders remaster traditional video games — launched as we speak, including a sophisticated path-traced particle system that delivers gorgeous visuals to breathe new life into traditional titles.
ComfyUI v3.57 Will get a Efficiency Increase With RTX
NVIDIA has collaborated with ComfyUI to spice up AI mannequin efficiency by as much as 40%. To place this in perspective, GPU technology upgrades usually solely ship a 20-30% efficiency enhance.
Builders interested by optimizing efficiency and effectivity of diffusion fashions on their apps can learn extra on how NVIDIA helps speed up these workloads within the developer discussion board.
State-of-the-Artwork AI Fashions, Accelerated by RTX
Unimaginable fashions for AI content material creation have been launched within the final weeks, all of which are actually obtainable in ComfyUI.
Wan 2.2 is a brand new video mannequin that gives unbelievable high quality and management for video technology on PCs. It’s the most recent mannequin from Wan AI — a inventive AI platform providing a formidable lineup of AI fashions, together with Textual content to Picture, Textual content to Video, Picture to Video and Speech to Video. GeForce RTX and NVIDIA RTX PRO GPUs are the one GPUs able to working Wan 2.2 14B fashions in ComfyUI with out main delays in output. Take a look at the instance beneath created with the one immediate: “A robotic is cracking an egg, however unintentionally hits it exterior the bowl.”
Qwen-Picture is a brand new picture technology basis mannequin from Alibaba that achieves important advances in complicated textual content rendering and exact picture enhancing. It excels at rendering complicated textual content, dealing with intricate enhancing and sustaining each semantic and visible accuracy in generated photographs. The mannequin runs 7x quicker on a GeForce RTX 5090 vs. Apple M3 Extremely.
Black Forest Labs’ new FLUX.1 Krea [dev] AI mannequin is the open-weight model of Krea 1, providing sturdy efficiency and educated to generate extra practical, numerous photographs that don’t comprise oversaturated textures. Black Forest Labs calls the mannequin “opinionated,” because it presents all kinds of numerous, visually fascinating photographs. This mannequin runs 8x quicker on a GeForce RTX 5090 vs. Apple M3 Extremely.
Hunyuan3D 2.1 is a completely open-source, production-ready 3D generative system that transforms enter photographs or textual content into high-fidelity 3D belongings enriched with bodily primarily based rendering supplies. Core elements embody a 3.3-billion-parameter mannequin for form technology and a 2-billion-parameter mannequin for texture evaluation to rapidly generate extra practical supplies. All of it runs quicker on Blackwell RTX GPUs.
Get Began With Superior Visible Generative Methods
Visible generative AI is a strong software, however getting began may be tough even for technical specialists and studying to make use of extra superior strategies usually takes months.
ComfyUI makes it simple to get began with superior workflows by offering templates or preset nodes that obtain a selected process, like retaining a personality fixed all through totally different generations, adjusting the sunshine of a picture or loading a fine-tuning. This permits even non-technical artists to simply use superior AI workflows.
These are 10 key strategies to get began with generative AI:
- Information video technology by defining the beginning body and finish body: Add a begin and finish body, in addition to how a video clip ought to start and finish. Wan 2.2 can then generate a clean, animated transition, filling the in-between frames to create a coherent animation. It’s preferrred for making animations, scene shifts or defining poses.
- Edit photographs with pure language: Use FLUX.1 [dev] KONTEXT to edit particular textual content sections of a picture.
- Upscale photographs or movies: Take picture or video at a decrease decision and enhance its decision and element high quality by including practical, high-frequency particulars.
- Management area composition: Assume extra granular management over picture technology by controlling the association and structure of visible parts inside particular areas of a picture.
- Restyle photographs: Use FLUX Redux to create totally different variations of photographs whereas preserving core visible parts and particulars.
- Faucet image-to-multiview-to-3D fashions: Use a number of photographs of an object captured from totally different angles to create a high-fidelity, textured 3D mannequin.
- Rework sound to video: Create video clips or animations immediately from audio inputs akin to speech, music or environmental sounds.
- Management video trajectory: Robotically information the movement of objects, digital camera or scenes inside movies.
- Edit photographs with inpainting: Fill in or alter lacking or undesirable elements of a digital picture in a visually seamless, contextually constant means with surrounding areas.
- Increase the canvas with outpainting: Generate new picture content material to increase the boundaries of an present picture or video footage, add element to cropped sections or full a scene.
Observe ComfyUI on X for updates to inventive templates and workflows.
Increase Your ComfyUI Zone
ComfyUI plug-ins allow customers so as to add generative AI workflows into their present purposes. The ComfyUI neighborhood has began constructing plug-ins for a few of the prime well-liked inventive purposes.
The Adobe Photoshop plug-in enhances Photoshop’s native Firefly fashions by permitting customers to run their very own flows and choose specialised fashions for particular duties. Native inference additionally allows limitless generative fill with low latency.
The Blender plug-in — featured within the NVIDIA AI Blueprint for 3D-guided generative AI — permits customers to attach 2D and 3D workflows. Artists can use 3D scenes to manage picture generations or create textures in ComfyUI and apply them to separate 3D belongings.
The Foundry Nuke plug-in — much like the Blender — allows a connection between 2D and 3D workflows so customers don’t need to alt-tab and swap between purposes.
The Unreal Engine plug-in allows ComfyUI nodes immediately within the Unreal Engine consumer interface to rapidly create and refine textures for scenes utilizing generative diffusion fashions. See the instance beneath.
Run Hyper-Optimized Fashions for NVIDIA RTX GPUs in ComfyUI
The easiest way to make use of NVIDIA RTX GPUs is with the TensorRT library — a high-performance deep studying inference engine designed to squeeze most pace out of the Tensor Cores in NVIDIA RTX GPUs.
NVIDIA has collaborated with the highest AI labs to combine TensorRT of their fashions, akin to Black Forest Labs’ fashions and Stability AI’s fashions. These fashions are additionally obtainable quantized — a compressed model of the community that makes use of 50-70% much less VRAM and presents as much as 2x quicker inference whereas sustaining related high quality.
TensorRT-optimized fashions may be run immediately in ComfyUI via the TensorRT node, which presently helps SDXL, SD3 and SD3.5, in addition to FLUX.1-dev and FLUX.1-schnell fashions. The node converts the AI mannequin right into a TensorRT-optimized mannequin, after which generates a TensorRT-optimized engine for the consumer’s GPU — a map of learn how to execute that mannequin with optimum effectivity for his or her explicit {hardware} — offering important speedups.
Quantizing fashions, nevertheless, takes a bit extra work. For customers interested by working quantized and TensorRT-optimized fashions, NVIDIA presents preconfigured information in a easy container known as a NIM microservice. Customers can use the NIM node in ComfyUI to load these containers and use quantized variations of fashions like FLUX.1-dev, FLUX.1-schnell, FLUX.1 Kontext, SD3.5 Massive and Microsoft TRELLIS.
Remix Replace Provides a Path-Traced Particle System
A brand new RTX Remix replace launched as we speak via the NVIDIA app, including a sophisticated particle system that allows modders to boost conventional fireplace and smoke results, in addition to extra fantastical results, like these within the online game Portal.
With RTX Remix, legacy particles from traditional video games may very well be interpreted as path-traced, enabling them to solid practical mild to boost the looks of many scenes. However finally, these particles have been nonetheless over 20 years previous, missing element, aptitude and fluid animations.
RTX Remix’s new particles have bodily correct properties and might work together with a recreation’s lighting and different results. This allows particles to collide, precisely transfer in response to wind and different forces, be mirrored on surfaces, solid shadows and assign their very own shadows.
For a whole breakdown of the brand new particle system, learn the GeForce article.
Every week, the RTX AI Storage weblog sequence options community-driven AI improvements and content material for these seeking to be taught extra about NVIDIA NIM microservices and AI Blueprints, in addition to constructing AI brokers, inventive workflows, productiveness apps and extra on AI PCs and workstations.
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