Business Software for ComfyUI

Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.

Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.

HappyHorse-1.1-T2V is a QwenCloud video generation model that creates videos from text descriptions. The model is designed to improve text-to-video quality through stronger semantic understanding, cinematic shot control, and dynamic motion rendering. HappyHorse-1.1-T2V helps users produce videos that better reflect the intent of a prompt, including scene atmosphere, character movement, physical dynamics, and visual consistency. It supports video generation at 480P, 720P, and 1080P, with pricing based on generated video seconds. Developers can call the model through the DashScope API and configure parameters such as resolution, ratio, and duration. The model is not open source and is offered as a hosted API through QwenCloud. Rate limits include 300 requests per minute, 5 concurrent requests, and an async queue limit of 500 tasks. QwenCloud also provides free quota for testing and API key access for production usage. By combining text-to-video generation, semantic prompt understanding, cinematic control, motion rendering, API access, and scalable rate limits, HappyHorse-1.1-T2V helps teams build AI video creation workflows.

Image MetaHub is an innovative, open-source desktop application that prioritizes local management of AI-generated images and videos. It seamlessly extracts generation metadata from various platforms, including ComfyUI, Automatic1111, Forge, Fooocus, InvokeAI, SwarmUI, SD.Next, and Draw Things, which simplifies the processes of searching, organizing, and continuing past generations. Users can explore extensive local libraries, examine prompts, models, LoRAs, seeds, samplers, steps, and workflows, as well as compare different variations alongside one another. The app also allows for the addition of tags and notes, maintains PNG metadata during export, and enables users to send images or prompts back to compatible generation tools for further refinement. Image MetaHub caters to creators seeking to retain complete control over their media collections without the necessity of cloud storage, thus ensuring their AI outputs, workflows, and associated metadata remain private and readily available on their local machines. This emphasis on user autonomy differentiates Image MetaHub as a powerful tool for digital content creators.

Hi3D is an advanced AI-powered image-to-3D generation platform designed to help creators, artists, developers, and makers generate production-ready 3D models quickly and efficiently from 2D images. Powered by the Sparc3D × Ultra3D engine, Hi3D focuses on delivering highly detailed, clean, and usable geometry with realistic textures suitable for professional creative and manufacturing workflows. The platform reconstructs both visible and hidden surfaces to create complete 3D objects rather than flat approximations, making the resulting assets suitable for applications such as 3D printing, game development, animation, film production, architecture, product design, and digital art. Hi3D supports single-image and multi-view image processing to generate accurate high-fidelity models with preserved sharp edges, realistic materials, and human-like detail. The platform includes AI-driven texture generation with support for 4K PBR-ready textures, allowing users to apply realistic surface materials to generated or uploaded models in one click. Advanced de-lighting technology intelligently removes baked lighting and shadows from textures to produce clean assets that can be relit and reused across production environments. Hi3D also provides specialized portrait generation tools capable of creating detailed human models with refined facial structures, skin textures, and hair-level detail at high resolutions suitable for animation, digital characters, and figurine production. Additional features include 3D relief generation from images, automated multi-color model segmentation for multi-material 3D printing, and one-click export to slicing software such as Bambu Studio and OrcaSlicer.

Rely on GridMarkets to guarantee timely delivery of your projects. Our rendering service is equipped with robust CPUs and GPUs, offering flexible pricing plans and scaling options suitable for various budgets and deadlines. You can quickly set up and submit your work from any 3D software to our rendering farm through Envoy, our secure render management tool. GridMarkets provides the necessary 3D software licenses to run your rendering or simulation at scale, eliminating the need for local licenses during submission. To utilize our rendering and simulation services, you will need GridMarkets credits, and it is essential to maintain a positive credit balance for rendering or simulation tasks. Additionally, we offer a managed services feature, where a GridMarkets team member collaborates with you to prepare and optimize your scenes according to your specified budget and timeline. Furthermore, GridMarkets has introduced a credit overdraft feature that activates when your account balance depletes, ensuring uninterrupted service. This way, you can continue your projects without worrying about credit shortages.

Database Mart presents an extensive range of server hosting services designed to meet various computing requirements. Their VPS hosting solutions allocate dedicated CPU, memory, and disk space with complete root or admin access, accommodating a multitude of applications like database management, email services, file sharing, SEO optimization tools, and script development. Each VPS package is equipped with SSD storage, automated backups, and a user-friendly control panel, making them perfect for individuals and small enterprises in search of budget-friendly options. For users with higher demands, Database Mart’s dedicated servers provide exclusive resources, guaranteeing enhanced performance and security. These dedicated servers can be tailored to support extensive software applications and high-traffic online stores, ensuring dependability for crucial operations. Furthermore, the company also offers GPU servers that are powered by high-performance NVIDIA GPUs, specifically designed to handle advanced AI tasks and high-performance computing needs, making them ideal for tech-savvy users and businesses alike. With such a diverse array of hosting solutions, Database Mart is committed to helping clients find the right fit for their unique requirements.

RapidRAW is a completely free and open-source RAW photo editing software designed for photographers who need to manage, develop, and export their images across platforms such as Windows, macOS, Linux, or Android. Its comprehensive library features capabilities like browsing, culling, and organizing images with ratings, flags, tags, and albums, as well as facilitating batch operations for efficiency. Utilizing a non-destructive editing approach, it allows users to make adjustments while keeping original files intact, offering a variety of controls for exposure, color, tone curves, detail, effects, cropping, lens correction, and masking. The software benefits from GPU-accelerated processing, enhancing RAW development, and integrates AI-driven tools for tasks such as denoising, creating subject and scene masks, generating depth maps, and automatic tagging. Additionally, users have the option to connect to a self-hosted ComfyUI server for generative editing or link to an Immich server to efficiently browse their photo library, synchronize edits, and perform exports. The application also boasts a plethora of features, such as presets, panorama and HDR merging, focus stacking, and tethered capture on compatible systems, while enabling users to batch export their work in widely-used image formats. With these extensive tools, photographers can streamline their workflow and achieve high-quality results effortlessly.

Thunder Compute delivers cheap cloud GPUs for companies, researchers, and developers running demanding AI and machine learning workloads. The platform gives users fast access to H100, A100, and RTX A6000 GPUs for LLM training, inference, fine-tuning, image generation, ComfyUI workflows, PyTorch jobs, CUDA applications, deep learning pipelines, model serving, and other GPU-intensive compute tasks. Thunder Compute is designed for teams that want affordable GPU cloud infrastructure with a strong developer experience, clear pricing, and minimal operational friction. Instead of dealing with the cost and complexity of legacy cloud vendors, users can deploy on-demand GPU instances with persistent storage, rapid provisioning, straightforward management, and scalable compute capacity. Thunder Compute is a strong fit for startups building AI products, engineering teams that need cloud GPUs for inference, and organizations looking for GPU hosting that is both economical and reliable. If you are searching for cheap H100s, A100 cloud instances, affordable GPUs for AI, or a RunPod alternative with transparent pricing and a simple interface, Thunder Compute provides a modern option for high-performance cloud GPU rental and AI infrastructure. Thunder Compute supports teams building and deploying modern AI applications that need dependable access to cheap cloud GPUs for both experimentation and production. From prototype training runs to large-scale inference and batch processing, the platform is designed to reduce infrastructure friction and accelerate iteration. For users comparing GPU cloud providers, Thunder Compute stands out with affordable pricing, fast access to top-tier GPUs, and a developer-friendly experience built around real AI workflows.

Qwen-Image is a cutting-edge multimodal diffusion transformer (MMDiT) foundation model that delivers exceptional capabilities in image generation, text rendering, editing, and comprehension. It stands out for its proficiency in integrating complex text, effortlessly incorporating both alphabetic and logographic scripts into visuals while maintaining high typographic accuracy. The model caters to a wide range of artistic styles, from photorealism to impressionism, anime, and minimalist design. In addition to creation, it offers advanced image editing functionalities such as style transfer, object insertion or removal, detail enhancement, in-image text editing, and manipulation of human poses through simple prompts. Furthermore, its built-in vision understanding tasks, which include object detection, semantic segmentation, depth and edge estimation, novel view synthesis, and super-resolution, enhance its ability to perform intelligent visual analysis. Qwen-Image can be accessed through popular libraries like Hugging Face Diffusers and is equipped with prompt-enhancement tools to support multiple languages, making it a versatile tool for creators across various fields. Its comprehensive features position Qwen-Image as a valuable asset for both artists and developers looking to explore the intersection of visual art and technology.

The Comfy Cloud platform enables users to access the complete features of ComfyUI, which is a node-based visual generative-AI workflow engine, directly through their web browsers without any installation needed. This solution offers immediate functionality across various devices, allowing users to harness the power of advanced server GPUs like the A100/40 GB while ensuring consistent performance and stability. It supports a wide array of both open and proprietary models, including but not limited to Stable Diffusion 1.5/SDXL, Qwen-Image, ByteDance SeeDream 4.0, Ideogram, and Moonvalley, along with pre-installed custom nodes that are readily available. The platform is continually updated, and its infrastructure is managed on behalf of the users, allowing for a hassle-free experience. Furthermore, users are only charged for active GPU runtime, eliminating costs associated with idle time, which means that editing, setup, and downtime do not incur extra charges. It facilitates browser-based creation on any device, efficiently manages workflows at scale, and enhances team collaboration with enterprise-level features, including priority queuing, dedicated resources, and tailored organizational plans. Overall, Comfy Cloud stands out by delivering a seamless and cost-effective generative AI experience for all users.

Floyo is a cloud-based platform that harnesses the capabilities of ComfyUI, enabling users to quickly discover, initiate, and execute open-source AI workflows without the need for installation, idle costs, or complicated configurations, allowing creators to concentrate on their output instead of infrastructure concerns. It provides complimentary unlimited options for building and editing workflows, an extensive library of ready-to-use workflows, and compatibility with thousands of custom nodes and models, including those uploaded by the community or individual users, such as checkpoints and LoRAs, which seamlessly integrate into any workflow. Users can effortlessly browse and launch workflows with a single click while collaborating with team members in shared workspaces that maintain the confidentiality of their models, inputs, outputs, and settings. Moreover, this platform enables the construction of a personalized, production-ready library of workflows, specifically designed to fit individual pipelines and enhance productivity. The streamlined features of Floyo make it an ideal choice for creators aiming to optimize their AI development process.

GenMagic serves as a comprehensive AI studio and API that consolidates over 450 models from more than 60 providers into a single account with a flexible pay-as-you-go system. Users can produce various forms of content, including images, videos, speech, music, text, code, SVGs, and web pages, all within one unified platform. Developers have the option to access the same models through an OpenAI-compatible REST API for tasks involving chat, images, audio, and video, or utilize a remote MCP server for AI agents such as Claude and Cursor. Additionally, a dynamic catalog provides real-time pricing for each model, with costs reported for every call, and video charges are incurred only after a clip has been finalized. Notably, there are no subscription fees; users simply add credits and pay for each creation. Furthermore, GenMagic seamlessly integrates with tools like n8n, Zapier, Dify, and Postman, enhancing its versatility and ease of use for various applications. This makes it an ideal solution for developers and creators looking to leverage advanced AI capabilities without the constraints of traditional pricing models.

Wan2.2 marks a significant enhancement to the Wan suite of open video foundation models by incorporating a Mixture-of-Experts (MoE) architecture that separates the diffusion denoising process into high-noise and low-noise pathways, allowing for a substantial increase in model capacity while maintaining low inference costs. This upgrade leverages carefully labeled aesthetic data that encompasses various elements such as lighting, composition, contrast, and color tone, facilitating highly precise and controllable cinematic-style video production. With training on over 65% more images and 83% more videos compared to its predecessor, Wan2.2 achieves exceptional performance in the realms of motion, semantic understanding, and aesthetic generalization. Furthermore, the release features a compact TI2V-5B model that employs a sophisticated VAE and boasts a remarkable 16×16×4 compression ratio, enabling both text-to-video and image-to-video synthesis at 720p/24 fps on consumer-grade GPUs like the RTX 4090. Additionally, prebuilt checkpoints for T2V-A14B, I2V-A14B, and TI2V-5B models are available, ensuring effortless integration into various projects and workflows. This advancement not only enhances the capabilities of video generation but also sets a new benchmark for the efficiency and quality of open video models in the industry.

FLUX 3 Image Klein, developed by Black Forest Labs, is an innovative image-generation model designed for use by developers and creative teams alike. This model transforms text prompts into vivid images and features instruction-based editing capabilities, allowing for reference-image guidance with up to ten images, as well as output options reaching up to 4K resolution. Equipped with 5.6 billion parameters, it is accessible via the Black Forest Labs API and can also be downloaded for local inference. Variants that include base and step-distilled options cater to diverse workflows, while additional quantized formats enable efficient local deployment. It serves a multitude of purposes such as creative production, design exploration, and prototyping, making it a versatile tool for image generation in various applications. It's important to note that both local and commercial usage of the model are regulated by its licensing terms. Furthermore, the API charges fees based on the number of generated images, with costs fluctuating according to resolution. This pricing structure allows users to tailor their usage based on specific project needs and budget considerations.

MOSS-Image represents a versatile family of open-weight models designed for transforming natural-language prompts and structured layout specifications into images. Both its Base and fine-tuned SFT checkpoints utilize a unified inference interface and accommodate prompts with a maximum length of 4,096 tokens. Users have the flexibility to either articulate a scene in written form or supply JSON layout data that dictates the placement of objects and text within the image. The project offers comprehensive resources, including Python and Gradio workflows, a Diffusers pipeline, model weights, and detailed guidance for local deployment and fine-tuning processes. This model is capable of producing a variety of visual content, such as illustrations, photorealistic images, posters, and other designed compositions that can integrate specific text elements. Additionally, developers have the option to leverage supported image-generation runtimes or a hosted API to enhance their projects. Aimed at developers, researchers, and creative individuals, the software facilitates the generation and modification of images with precise layout control, making it a valuable tool in various creative endeavors. As users explore MOSS-Image, they can unlock new possibilities in visual storytelling and design innovation.

Happy Horse is an AI-powered video creation platform built for users who want to generate and edit cinematic video content from prompts and visual references. The platform allows creators to start with text, a reference input, or a first frame, then generate video assets based on their creative direction. Users can also modify video details through editing tools that help refine motion, style, and output. Happy Horse is designed around imagination-driven creation, helping users capture fleeting ideas and turn them into watchable video projects. Its featured gallery highlights AI cinema, short films, experimental visuals, and community-made creative work. The platform also promotes events such as the AI Cinema Awards, giving creators a place to showcase AI-generated storytelling. Users can access credits for video generation, including free credits for signing in and special promotional offers. Happy Horse supports both casual experimentation and more polished creative production for digital artists and video makers. Happy Horse helps creators move from inspiration to finished video faster with flexible generation inputs and built-in editing capabilities.