{"id":5511,"date":"2026-01-05T16:03:25","date_gmt":"2026-01-05T15:03:25","guid":{"rendered":"https:\/\/www.utilewebsites.nl\/knowledgebase\/overzichtskaart-open-source-ai-video-image-modellen-januari-2026\/"},"modified":"2026-01-05T16:24:40","modified_gmt":"2026-01-05T15:24:40","slug":"overzichtskaart-open-source-ai-video-image-modellen-januari-2026","status":"publish","type":"wz_knowledgebase","link":"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/overzichtskaart-open-source-ai-video-image-modellen-januari-2026\/","title":{"rendered":"Overview Map: Open-Source AI Video &#038; Image Models (January 2026)"},"content":{"rendered":"<p>This article describes the most powerful open-source models for video and image generation. You can install these models entirely locally, provided you have a suitable GPU. While 12 GB of VRAM is often considered the baseline for larger models, <strong>quantized<\/strong> versions (mostly found on <a href=\"https:\/\/huggingface.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hugging Face<\/a>) make it possible to run these models with significantly less memory (starting from as little as 8 GB).<\/p>\n<h2 class=\"wp-block-heading\">1. Video Generation Models<\/h2>\n<h3 class=\"wp-block-heading\"><strong>Wan 2.1 \/ 2.2<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> The current standard for open-source video. Highly stable in motion and anatomy.<\/li>\n<li><strong>Use case:<\/strong> High-end cinematography, realistic human actions.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/Wan-Video\/Wan2.1\" target=\"_blank\" rel=\"noreferrer noopener\">Wan-Video\/Wan2.1<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> <a href=\"https:\/\/github.com\/kijai\/ComfyUI-WanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">kijai\/ComfyUI-WanVideoWrapper<\/a><\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>Hunyuan Video (v1.5)<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> Tencent's flagship model with 13 billion parameters, now in v1.5 with improved prompt adherence and a \"distilled\" version for speed.<\/li>\n<li><strong>Use case:<\/strong> Complex textual instructions and long scenes.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/Tencent-Hunyuan\/HunyuanVideo\" target=\"_blank\" rel=\"noreferrer noopener\">Tencent-Hunyuan\/HunyuanVideo<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> <a href=\"https:\/\/github.com\/kijai\/ComfyUI-HunyuanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">kijai\/ComfyUI-HunyuanVideoWrapper<\/a><\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>LTX Video (LTXV)<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> A DiT-based model focused on real-time generation and efficiency on consumer GPUs.<\/li>\n<li><strong>Use case:<\/strong> Fast previews and real-time video-to-video transformations.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/Lightricks\/LTX-Video\" target=\"_blank\" rel=\"noreferrer noopener\">Lightricks\/LTX-Video<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> <a href=\"https:\/\/github.com\/Lightricks\/ComfyUI-LTXVideo\" target=\"_blank\" rel=\"noreferrer noopener\">Lightricks\/ComfyUI-LTXVideo<\/a><\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>Kandinsky 5.0 Video (Lite &amp; Pro)<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> A suite of models based on the <em>Cross-Attention Diffusion Transformer<\/em> (CrossDiT). The <strong>Lite (2B)<\/strong> version is lightning fast and runs on consumer GPUs, while the <strong>Pro (19B)<\/strong> version generates cinematic 10-second clips with complex camera movements.<\/li>\n<li><strong>Use case:<\/strong> Versatile video creation (Text-to-Video and Image-to-Video) with strong support for various languages and artistic styles.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/kandinskylab\/kandinsky-5\" target=\"_blank\" rel=\"noreferrer noopener\">kandinskylab\/kandinsky-5<\/a><\/li>\n<li><strong>ComfyUI Template:<\/strong> <a href=\"https:\/\/docs.comfy.org\/tutorials\/video\/kandinsky\/kandinsky-5\" target=\"_blank\" rel=\"noreferrer noopener\">Kandinsky 5 Video Workflow (Official)<\/a><\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>Specialized Video Fine-tunes<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>SCAIL:<\/strong> Studio-grade character animation (pose-to-video) with 3D consistency.\n<ul class=\"wp-block-list\">\n<li><strong>GitHub:<\/strong> <a href=\"https:\/\/github.com\/zai-org\/SCAIL\" target=\"_blank\" rel=\"noreferrer noopener\">zai-org\/SCAIL<\/a> | <strong>ComfyUI:<\/strong> <a href=\"https:\/\/github.com\/kijai\/ComfyUI-WanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">ComfyUI-SCAIL-Pose<\/a> (part of WanVideoWrapper).<\/li>\n<\/ul>\n<\/li>\n<li><strong>MoCha:<\/strong> The standard for seamlessly replacing characters in existing videos.\n<ul class=\"wp-block-list\">\n<li><strong>GitHub:<\/strong> <a href=\"https:\/\/github.com\/Orange-3DV-Team\/MoCha\" target=\"_blank\" rel=\"noreferrer noopener\">Orange-3DV-Team\/MoCha<\/a> | <strong>ComfyUI:<\/strong> Integrated into <a href=\"https:\/\/github.com\/kijai\/ComfyUI-WanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">WanVideoWrapper<\/a>.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Nexus 1.3B<\/strong> : <strong>Description:<\/strong> A specialized fine-tune of the Wan 1.3B architecture, developed within the Nexus project. This model is specifically trained on \"Nexus data\" for complex human movements. <strong>Use case:<\/strong> Dance, martial arts, and gym exercises where anatomical correctness is crucial. <strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/PKU-YuanGroup\/OpenS2V-Nexus\" target=\"_blank\" rel=\"noreferrer noopener\">PKU-YuanGroup\/OpenS2V-Nexus<\/a> <strong>ComfyUI Node:<\/strong> Supported via the <a href=\"https:\/\/github.com\/kijai\/ComfyUI-WanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">WanVideoWrapper<\/a>. <\/li>\n<\/ul>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<h2 class=\"wp-block-heading\">2. Image Generation Models<\/h2>\n<h3 class=\"wp-block-heading\"><strong>FLUX.2<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> The successor to FLUX.1. Offers photorealism and text rendering that rivals commercial models like Midjourney.<\/li>\n<li><strong>Use case:<\/strong> Everything from marketing materials to complex digital art.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/black-forest-labs\/flux2\" target=\"_blank\" rel=\"noreferrer noopener\">black-forest-labs\/flux2<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> <a href=\"https:\/\/github.com\/city96\/ComfyUI-GGUF\" target=\"_blank\" rel=\"noreferrer noopener\">city96\/ComfyUI-GGUF<\/a> (for GGUF quantizations).<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>Qwen Image 2512<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> An advanced model from Alibaba that excels in following instructions for image editing.<\/li>\n<li><strong>Use case:<\/strong> Layer-based editing and complex compositions.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/QwenLM\/Qwen-Image\" target=\"_blank\" rel=\"noreferrer noopener\">QwenLM\/Qwen-Image<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> Use the <a href=\"https:\/\/github.com\/ltdrdata\/ComfyUI-Manager\" target=\"_blank\" rel=\"noreferrer noopener\">ComfyUI-Manager<\/a> and search for \"Qwen2-VL\".<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\"><strong>Z-Image (Turbo)<\/strong><\/h3>\n<ul class=\"wp-block-list\">\n<li><strong>Description:<\/strong> A 6B parameter model from Alibaba that delivers top-tier results in just 8 steps.<\/li>\n<li><strong>Use case:<\/strong> Real-time generation and systems with limited hardware.<\/li>\n<li><strong>GitHub (Model):<\/strong> <a href=\"https:\/\/github.com\/Tongyi-MAI\/Z-Image\" target=\"_blank\" rel=\"noreferrer noopener\">Tongyi-MAI\/Z-Image<\/a><\/li>\n<li><strong>ComfyUI Node:<\/strong> Integrated via <a href=\"https:\/\/github.com\/kijai\/ComfyUI-WanVideoWrapper\" target=\"_blank\" rel=\"noreferrer noopener\">WanVideoWrapper<\/a> or directly via diffusers.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This article describes the most powerful open-source models for video and image generation. You can install these models entirely locally, provided you have a suitable GPU. While 12 GB of VRAM is often considered the baseline for larger models, quantized versions (mostly found on Hugging Face) make it possible to run these models with significantly less memory (starting from as little as 8 GB). 1. Video Generation Models Wan 2.1 \/ 2.2 Description: The current standard for open-source video. Highly stable in motion and anatomy. Use case: High-end cinematography, realistic human actions. GitHub (Model): Wan-Video\/Wan2.1 ComfyUI Node: kijai\/ComfyUI-WanVideoWrapper Hunyuan Video&nbsp;<a href=\"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/overzichtskaart-open-source-ai-video-image-modellen-januari-2026\/\" class=\"read-more\">Continue Reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":5510,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"wzkb_category":[93],"wzkb_tag":[],"class_list":["post-5511","wz_knowledgebase","type-wz_knowledgebase","status-publish","has-post-thumbnail","hentry","wzkb_category-ai-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Overview Map: Open-Source AI Video &amp; Image Models (January 2026) - Utilewebsites<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.utilewebsites.nl\/en\/knowledgebase\/overzichtskaart-open-source-ai-video-image-modellen-januari-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Overview Map: Open-Source AI Video &amp; Image Models (January 2026) - Utilewebsites\" \/>\n<meta property=\"og:description\" content=\"This article describes the most powerful open-source models for video and image generation. You can install these models entirely locally, provided you have a suitable GPU. While 12 GB of VRAM is often considered the baseline for larger models, quantized versions (mostly found on Hugging Face) make it possible to run these models with significantly less memory (starting from as little as 8 GB). 1. Video Generation Models Wan 2.1 \/ 2.2 Description: The current standard for open-source video. Highly stable in motion and anatomy. Use case: High-end cinematography, realistic human actions. 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