Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online, Click to Use!<\/title>\n<\/head>\n<body>\n <div class=\"container\">\n<style>\n* {\n box-sizing: border-box;\n}\n\nbody { \n background: linear-gradient(135deg, #dbeafe 0%, #bfdbfe 100%);\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', sans-serif; \n margin: 0; \n padding: 20px; \n line-height: 1.7; \n min-height: 100vh;\n}\n\n.container {\n max-width: 1200px;\n margin: 0 auto;\n padding: 0 20px;\n}\n\n.card { \n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px; \n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px; \n margin-bottom: 32px; \n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.card:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 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\u4fdd\u6301\u4e00\u81f4\uff09 *\/\n.company-profile {\n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px;\n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px;\n margin-bottom: 32px;\n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.company-profile:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 12px rgba(30, 64, 175, 0.15);\n border-color: rgba(59, 130, 246, 0.3);\n}\n\n.company-profile h2 {\n color: #1e40af;\n font-size: 1.8rem;\n margin-bottom: 16px;\n font-weight: 700;\n}\n\n.company-profile .company-profile-body p {\n color: #0f172a;\n font-size: 1.05rem;\n line-height: 1.7;\n margin-bottom: 16px;\n}\n\n.company-profile .company-profile-body p:last-child {\n margin-bottom: 0;\n}\n\n.company-profile .company-origin {\n margin-top: 8px;\n color: 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studio-quality transformations<\/p>\n<\/header>\n\n<section class=\"iframe-container\" style=\"margin: 2rem 0; text-align: center; background: rgba(255, 255, 255, 0.95); position: relative; min-height: 750px; overflow: hidden;\">\n \n <div id=\"iframe-loading\" style=\"\n position: absolute;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n z-index: 10;\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 20px;\n color: #1e40af;\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;\n \">\n \n <div style=\"\n width: 50px;\n height: 50px;\n border: 4px solid rgba(59, 130, 246, 0.2);\n border-top: 4px solid #3b82f6;\n border-radius: 50%;\n animation: spin 1s linear infinite;\n \"><\/div>\n \n <div style=\"font-size: 16px; font-weight: 500;\">Loading AI Model Interface…<\/div>\n <\/div>\n \n <iframe \n id=\"ai-iframe\"\n data-src=\"https:\/\/tool-image-client.wemiaow.com\/image?model=nunchaku-tech%2Fnunchaku-qwen-image-edit-2509\" \n 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align-items: center;\n justify-content: center;\n padding: 12px;\n border-radius: 12px;\n background: rgba(59, 130, 246, 0.08);\n color: #1d4ed8;\n text-decoration: none;\n font-weight: 600;\n text-align: center;\n min-height: 56px;\n transition: background 0.3s ease, color 0.3s ease;\n}\n\n.company-model-card:hover {\n background: rgba(59, 130, 246, 0.16);\n color: #1e3a8a;\n}\n<\/style>\n \n \n <script>\n console.log('[iframe-height] ========== Iframe Script Initialized ==========');\n console.log('[iframe-height] Iframe height is fixed at: 750px');\n \n function hideLoading() {\n console.log('[iframe-height] hideLoading called');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Loading animation hidden, iframe marked as loaded');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Loading or iframe element not found');\n }\n }\n \n \/\/ Fallback: hide loading after 10 seconds even if iframe doesn't load\n console.log('[iframe-height] Setting up fallback loading hide (10 seconds timeout)');\n setTimeout(function() {\n console.log('[iframe-height] \u23f0 Fallback timeout triggered (10 seconds)');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Fallback: Loading animation hidden');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Fallback: Loading or iframe element not found');\n }\n }, 10000);\n \n console.log('[iframe-height] ========== Script Setup Complete ==========');\n console.log('[iframe-height] Iframe height is fixed at 750px, no dynamic adjustment');\n <\/script>\n<\/section>\n\n<section class=\"intro card\">\n <h2>What is Nunchaku-Qwen-Image-Edit-2509?<\/h2>\n <p>Nunchaku-Qwen-Image-Edit-2509 is a <strong>quantized version of the Qwen-Image-Edit-2509 model<\/strong>, specifically optimized for fast and consistent AI-driven image editing. Designed to work seamlessly with the Nunchaku inference engine and ComfyUI, this model brings professional-grade image manipulation capabilities to your workflow.<\/p>\n \n <p>This cutting-edge tool excels at <strong>localized edits, object swaps, background changes, and attribute transfer<\/strong>, all guided by natural language prompts. Whether you’re a digital artist, product photographer, or content creator, this model delivers studio-ready results with unprecedented speed and accuracy.<\/p>\n \n <div class=\"highlight-box\">\n <p><strong>Key Innovation:<\/strong> The model supports multi-image editing, allowing you to blend or transform up to three reference images simultaneously\u2014perfect for advanced compositing tasks like merging a person with a product or placing subjects in new scenes.<\/p>\n <\/div>\n<\/section>\n<section class=\"company-profile\">\n <h2>Company Behind nunchaku-tech\/nunchaku-qwen-image-edit-2509<\/h2>\n <div class=\"company-profile-body\">\n <p>Discover more about nunchaku-tech, the organization responsible for building and maintaining nunchaku-tech\/nunchaku-qwen-image-edit-2509.<\/p>\n <p>No reliable English-language information is available regarding an AI or LLM company, organization, or individual named <strong>Nunchaku Team<\/strong>. There are no notable references to this name in the context of artificial intelligence, large language models, or related research communities as of November 2025. If you have additional context or alternative spellings, please provide them for a more targeted search.<\/p>\n \n <\/div>\n<\/section>\n\n\n<section class=\"how-to-use card\">\n <h2>How to Use Nunchaku-Qwen-Image-Edit-2509<\/h2>\n \n <h3>Installation and Setup<\/h3>\n <ol>\n <li><strong>Install ComfyUI:<\/strong> Ensure you have ComfyUI installed on your system as the primary interface for running the model<\/li>\n <li><strong>Download the Model:<\/strong> Access the quantized model from Hugging Face (nunchaku-tech\/nunchaku-qwen-image-edit-2509) in either INT4 format (for non-Blackwell GPUs) or NVFP4 format (for Blackwell\/50-series GPUs)<\/li>\n <li><strong>Select Rank Option:<\/strong> Choose between r32 (faster inference) or r128 (higher quality output) based on your needs<\/li>\n <li><strong>Install Nunchaku Extension:<\/strong> Add the ComfyUI-nunchaku extension to enable model integration<\/li>\n <li><strong>Load Workflow:<\/strong> Import pre-built workflows designed for specific editing tasks (available in the official repository)<\/li>\n <\/ol>\n \n <h3>Basic Editing Workflow<\/h3>\n <ol>\n <li><strong>Prepare Your Images:<\/strong> Load 1-3 reference images (source image, optional style reference, optional product\/object reference)<\/li>\n <li><strong>Write Your Prompt:<\/strong> Describe the desired edit using natural language (e.g., “Replace the background with a modern studio setting”)<\/li>\n <li><strong>Add ControlNet Inputs (Optional):<\/strong> Include depth maps, edge maps, or keypoint maps for more precise control over the output<\/li>\n <li><strong>Configure Parameters:<\/strong> Adjust settings like inference speed, quality level, and consistency strength<\/li>\n <li><strong>Generate and Refine:<\/strong> Run the model and iterate on prompts or parameters to achieve your desired result<\/li>\n <\/ol>\n<\/section>\n\n<section class=\"insights card\">\n <h2>Latest Research and Capabilities<\/h2>\n \n <h3>Enhanced Consistency in Single-Image Editing<\/h3>\n <p>According to recent updates from September 2025, the Nunchaku-Qwen-Image-Edit-2509 model introduces <strong>significant improvements in consistency<\/strong> for single-image edits. The model now excels at:<\/p>\n \n <div class=\"feature-grid\">\n <div class=\"feature-item\">\n <h4>Facial Identity Preservation<\/h4>\n <p>Maintains accurate facial features and expressions even during complex transformations<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>Product Identity Retention<\/h4>\n <p>Keeps product characteristics intact while changing backgrounds or contexts<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>Text Rendering Quality<\/h4>\n <p>Improved accuracy in preserving and rendering text elements within images<\/p>\n <\/div>\n <\/div>\n \n <h3>Multi-Image Editing Capabilities<\/h3>\n <p>The model’s <strong>multi-image support<\/strong> enables advanced compositing scenarios that were previously challenging or time-consuming. Real-world applications include:<\/p>\n \n <ul>\n <li><strong>Person + Product Merging:<\/strong> Seamlessly integrate products into lifestyle photography<\/li>\n <li><strong>Person + Scene Composition:<\/strong> Place subjects in entirely new environments while maintaining realistic lighting and perspective<\/li>\n <li><strong>Style Transfer Across Images:<\/strong> Apply the aesthetic qualities of one image to another while preserving content structure<\/li>\n <li><strong>Object Replacement:<\/strong> Swap objects between images with contextually appropriate integration<\/li>\n <\/ul>\n \n <h3>Native ControlNet Integration<\/h3>\n <p>A major advancement in the 2509 version is <strong>native support for ControlNet inputs<\/strong>, providing unprecedented control over editing outcomes. Supported control types include:<\/p>\n \n <ul>\n <li><strong>Depth Maps:<\/strong> Control spatial relationships and 3D structure in edited images<\/li>\n <li><strong>Edge Maps:<\/strong> Preserve or modify structural boundaries with precision<\/li>\n <li><strong>Keypoint Maps:<\/strong> Guide pose and positioning for human subjects or objects<\/li>\n <\/ul>\n \n <div class=\"highlight-box\">\n <p><strong>Performance Optimization:<\/strong> The 4-bit quantized model (INT4\/NVFP4) delivers up to 50% faster inference compared to full-precision versions while maintaining 95%+ quality parity, making it ideal for production workflows requiring both speed and quality.<\/p>\n <\/div>\n \n <p><em>Source: <a href=\"https:\/\/qwen.ai\/blog?id=7a90090115ee193ce6a7f619522771dd9696dd93&from=research.latest-advancements-list\" target=\"_blank\" rel=\"noopener nofollow\">Qwen AI Official Blog<\/a>, <a href=\"https:\/\/huggingface.co\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\" target=\"_blank\" rel=\"noopener nofollow\">Hugging Face Model Card<\/a><\/em><\/p>\n<\/section>\n\n<section class=\"details card\">\n <h2>Technical Specifications and Use Cases<\/h2>\n \n <h3>Model Variants and Hardware Requirements<\/h3>\n <p>The Nunchaku-Qwen-Image-Edit-2509 is available in multiple configurations to match different hardware capabilities:<\/p>\n \n <ul>\n <li><strong>INT4 Quantization:<\/strong> Optimized for NVIDIA GPUs (RTX 30-series, 40-series, and earlier) with reduced memory footprint<\/li>\n <li><strong>NVFP4 Quantization:<\/strong> Specifically designed for Blackwell architecture GPUs (RTX 50-series) leveraging advanced 4-bit floating-point precision<\/li>\n <li><strong>Rank 32 (r32):<\/strong> Faster inference speed, suitable for real-time applications and iterative workflows<\/li>\n <li><strong>Rank 128 (r128):<\/strong> Higher quality output with more detailed preservation, ideal for final production renders<\/li>\n <\/ul>\n \n <h3>Professional Use Cases<\/h3>\n \n <h4>E-commerce Product Photography<\/h4>\n <p>Transform product images into studio-ready assets without expensive photoshoots. The model can:<\/p>\n <ul>\n <li>Replace backgrounds with professional studio settings<\/li>\n <li>Adjust lighting and shadows for consistent product catalogs<\/li>\n <li>Create lifestyle contexts by merging products with scene references<\/li>\n <li>Generate multiple variations from a single product shot<\/li>\n <\/ul>\n \n <h4>Portrait and Fashion Photography<\/h4>\n <p>Enhance and transform portrait photography with precision:<\/p>\n <ul>\n <li>Change backgrounds while preserving natural lighting on subjects<\/li>\n <li>Transfer styling and color grading from reference images<\/li>\n <li>Adjust clothing or accessories using object swap capabilities<\/li>\n <li>Maintain facial identity across different scene contexts<\/li>\n <\/ul>\n \n <h4>Creative Content Production<\/h4>\n <p>Accelerate creative workflows for digital artists and content creators:<\/p>\n <ul>\n <li>Rapid concept visualization by merging multiple reference images<\/li>\n <li>Style exploration through attribute transfer between images<\/li>\n <li>Advanced photo manipulation with natural language guidance<\/li>\n <li>Consistent character or product appearance across multiple scenes<\/li>\n <\/ul>\n \n <h3>Integration with ComfyUI Workflows<\/h3>\n <p>The model’s deep integration with ComfyUI provides a node-based interface for complex editing pipelines. Pre-built workflows available in the official repository include:<\/p>\n \n <ul>\n <li><strong>Single-Image Background Replacement:<\/strong> Quick background swaps with automatic edge refinement<\/li>\n <li><strong>Multi-Image Style Merge:<\/strong> Combine aesthetic elements from multiple sources<\/li>\n <li><strong>ControlNet-Guided Editing:<\/strong> Precise structural control using depth, edge, or pose maps<\/li>\n <li><strong>Batch Processing Workflows:<\/strong> Apply consistent edits across multiple images<\/li>\n <\/ul>\n \n <p>These workflows can be customized and chained together to create sophisticated editing pipelines tailored to specific production needs.<\/p>\n \n <p><em>Reference: <a href=\"https:\/\/www.datacamp.com\/tutorial\/qwen-image-edit-2509-tutorial\" target=\"_blank\" rel=\"noopener nofollow\">DataCamp Tutorial on Qwen-Image-Edit-2509<\/a><\/em><\/p>\n<\/section>\n\n<aside class=\"faq card\">\n <h2>Frequently Asked Questions<\/h2>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What hardware do I need to run Nunchaku-Qwen-Image-Edit-2509?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n For optimal performance, you need an NVIDIA GPU with at least 8GB VRAM. The INT4 quantized version works on RTX 30-series and 40-series GPUs, while the NVFP4 version is optimized for RTX 50-series (Blackwell) GPUs. The r32 rank option requires less VRAM and runs faster, while r128 provides higher quality but needs more memory. A system with 16GB RAM and a modern CPU is recommended for smooth ComfyUI operation.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How does multi-image editing work in practice?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Multi-image editing allows you to input up to three reference images: a source image (the main image to edit), a style reference (to transfer aesthetic qualities), and an object\/scene reference (to merge elements). The model intelligently blends these inputs based on your text prompt. For example, you can take a portrait photo, a product image, and a background scene, then prompt the model to “place the person holding the product in the scenic background” for seamless compositing.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What are ControlNet inputs and when should I use them?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n ControlNet inputs (depth maps, edge maps, keypoint maps) provide structural guidance to the editing process. Use depth maps when you need to maintain or modify 3D spatial relationships, edge maps for precise boundary control, and keypoint maps for human pose guidance. These are particularly useful for complex edits where text prompts alone might not provide enough control, such as maintaining specific poses or preserving architectural structures during background changes.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How does the quality compare between r32 and r128 rank options?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n The r32 rank option prioritizes speed and is excellent for iterative workflows, previews, and real-time applications. It typically runs 2-3x faster than r128 with approximately 90-95% of the quality. The r128 rank option provides maximum detail preservation, better consistency in complex edits, and superior handling of fine textures. For final production outputs, especially for print or high-resolution displays, r128 is recommended. For rapid prototyping and concept exploration, r32 offers an excellent balance.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Can I use this model for commercial projects?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Yes, the Nunchaku-Qwen-Image-Edit-2509 model can be used for commercial projects, but you should review the specific licensing terms on the Hugging Face model page. The model is particularly well-suited for commercial applications like e-commerce product photography, advertising content creation, and professional photo editing services. Always ensure you have appropriate rights to the input images you’re editing, as the model doesn’t grant rights to source imagery.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How do I get started if I’m new to ComfyUI?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Start by watching the official tutorial series, particularly “ComfyUI Tutorial Series Ep 64: Nunchaku Qwen Image Edit 2509” which provides step-by-step guidance. Install ComfyUI following the official documentation, then add the ComfyUI-nunchaku extension. Download pre-built workflows from the GitHub repository to understand the node structure before creating custom workflows. The community provides extensive documentation and example workflows that demonstrate common editing tasks, making it easier to learn through practical examples.\n <\/div>\n <\/div>\n<\/aside>\n\n<footer class=\"references card\">\n <h2>References and Resources<\/h2>\n <ul>\n <li><a href=\"https:\/\/www.youtube.com\/watch?v=O27YkFwOSHk\" target=\"_blank\" rel=\"noopener nofollow\">ComfyUI Tutorial Series Ep 64: Nunchaku Qwen Image Edit 2509<\/a><\/li>\n <li><a href=\"https:\/\/huggingface.co\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\" target=\"_blank\" rel=\"noopener nofollow\">Nunchaku-Qwen-Image-Edit-2509 Model Card on Hugging Face<\/a><\/li>\n <li><a href=\"https:\/\/qwen.ai\/blog?id=7a90090115ee193ce6a7f619522771dd9696dd93&from=research.latest-advancements-list\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509: Multi-Image Support, Improved Consistency – Official Blog<\/a><\/li>\n <li><a href=\"https:\/\/www.datacamp.com\/tutorial\/qwen-image-edit-2509-tutorial\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509 Tutorial: Generate Studio-Ready Product Images<\/a><\/li>\n <li><a href=\"https:\/\/www.youtube.com\/watch?v=ET1g_3Z_c0k\" target=\"_blank\" rel=\"noopener nofollow\">Run Qwen Image Edit (2509) Locally – Video Tutorial<\/a><\/li>\n <li><a href=\"https:\/\/nunchaku.tech\/docs\/nunchaku\/usage\/qwen-image-edit.html\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit Official Documentation – Nunchaku<\/a><\/li>\n <li><a href=\"https:\/\/www.runcomfy.com\/comfyui-workflows\/nunchaku-qwen-image-in-comfyui-multi-image-merge-style-edit\" target=\"_blank\" rel=\"noopener nofollow\">Nunchaku Qwen Image in ComfyUI: Multi-Image Merge & Style Edit Workflow<\/a><\/li>\n <li><a href=\"https:\/\/github.com\/nunchaku-tech\/ComfyUI-nunchaku\/blob\/main\/README.md\" target=\"_blank\" rel=\"noopener nofollow\">ComfyUI-Nunchaku Extension Documentation on GitHub<\/a><\/li>\n <li><a href=\"https:\/\/github.com\/nunchaku-tech\/nunchaku\/issues\/715\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509 Support Feature Request – GitHub Issue<\/a><\/li>\n <li><a href=\"https:\/\/cnb.cool\/ai-models\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\/-\/blob\/main\/README.md\" target=\"_blank\" rel=\"noopener nofollow\">Model Card for Nunchaku-Qwen-Image-Edit-2509 – CNB Repository<\/a><\/li>\n <\/ul>\n<\/footer>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online, Click to Use! Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online Fast, consistent, and powerful quantized AI model for multi-image editing, object swapping, and studio-quality transformations Loading AI Model Interface… What is Nunchaku-Qwen-Image-Edit-2509? Nunchaku-Qwen-Image-Edit-2509 is a quantized version of the Qwen-Image-Edit-2509 model, specifically optimized for fast and consistent AI-driven image editing. Designed to […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-4037","page","type-page","status-publish","hentry"],"blocksy_meta":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Robin","author_link":"https:\/\/crepal.ai\/blog\/author\/robin\/"},"uagb_comment_info":0,"uagb_excerpt":"Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online, Click to Use! Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online Fast, consistent, and powerful quantized AI model for multi-image editing, object swapping, and studio-quality transformations Loading AI Model Interface… What is Nunchaku-Qwen-Image-Edit-2509? Nunchaku-Qwen-Image-Edit-2509 is a quantized version of the Qwen-Image-Edit-2509 model, specifically optimized for fast and consistent AI-driven image editing. Designed to…","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4037","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=4037"}],"version-history":[{"count":0,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4037\/revisions"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=4037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

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justify-content: center;\n padding: 12px;\n border-radius: 12px;\n background: rgba(59, 130, 246, 0.08);\n color: #1d4ed8;\n text-decoration: none;\n font-weight: 600;\n text-align: center;\n min-height: 56px;\n transition: background 0.3s ease, color 0.3s ease;\n}\n\n.company-model-card:hover {\n background: rgba(59, 130, 246, 0.16);\n color: #1e3a8a;\n}\n<\/style>\n\n<header data-keyword=\"Nunchaku-Qwen-Image-Edit-2509\" class=\"card\">\n <h1>Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online<\/h1>\n <p>Fast, consistent, and powerful quantized AI model for multi-image editing, object swapping, and studio-quality transformations<\/p>\n<\/header>\n\n<section class=\"iframe-container\" style=\"margin: 2rem 0; text-align: center; background: rgba(255, 255, 255, 0.95); position: relative; min-height: 750px; overflow: hidden;\">\n \n <div id=\"iframe-loading\" style=\"\n position: absolute;\n top: 50%;\n left: 50%;\n transform: translate(-50%, -50%);\n z-index: 10;\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 20px;\n color: #1e40af;\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;\n \">\n \n <div style=\"\n width: 50px;\n height: 50px;\n border: 4px solid rgba(59, 130, 246, 0.2);\n border-top: 4px solid #3b82f6;\n border-radius: 50%;\n animation: spin 1s linear infinite;\n \"><\/div>\n \n <div style=\"font-size: 16px; font-weight: 500;\">Loading AI Model Interface…<\/div>\n <\/div>\n \n <iframe \n id=\"ai-iframe\"\n data-src=\"https:\/\/tool-image-client.wemiaow.com\/image?model=nunchaku-tech%2Fnunchaku-qwen-image-edit-2509\" \n width=\"100%\" \n style=\"border-radius: 8px; box-shadow: 0 4px 12px rgba(59, 130, 246, 0.2); opacity: 0; transition: opacity 0.5s ease; height: 750px; border: none; display: block;\"\n title=\"AI Model Interface\"\n onload=\"hideLoading();\"\n scrolling=\"auto\"\n frameborder=\"0\" 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padding: 16px;\n color: #1e40af;\n font-size: 0.95rem;\n font-weight: 600;\n line-height: 1.4;\n min-height: 48px;\n display: -webkit-box;\n -webkit-line-clamp: 2;\n -webkit-box-orient: vertical;\n overflow: hidden;\n}\n\n.related-post-item:hover .related-post-title {\n color: #3b82f6;\n}\n\n\/* Company Profile \u6837\u5f0f\uff08\u4e0e Related Posts \u4fdd\u6301\u4e00\u81f4\uff09 *\/\n.company-profile {\n background: rgba(255, 255, 255, 0.95);\n border-radius: 20px;\n box-shadow: 0 8px 32px rgba(59, 130, 246, 0.1), 0 2px 8px rgba(30, 64, 175, 0.05);\n padding: 32px;\n margin-bottom: 32px;\n border: 1px solid rgba(59, 130, 246, 0.2);\n transition: transform 0.3s ease, box-shadow 0.3s ease, border-color 0.3s ease;\n will-change: transform, box-shadow;\n}\n\n.company-profile:hover {\n transform: translate3d(0, -2px, 0);\n box-shadow: 0 12px 40px rgba(59, 130, 246, 0.2), 0 4px 12px rgba(30, 64, 175, 0.15);\n border-color: rgba(59, 130, 246, 0.3);\n}\n\n.company-profile h2 {\n color: 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ease;\n}\n\n.company-model-card:hover {\n background: rgba(59, 130, 246, 0.16);\n color: #1e3a8a;\n}\n<\/style>\n \n \n <script>\n console.log('[iframe-height] ========== Iframe Script Initialized ==========');\n console.log('[iframe-height] Iframe height is fixed at: 750px');\n \n function hideLoading() {\n console.log('[iframe-height] hideLoading called');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Loading animation hidden, iframe marked as loaded');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Loading or iframe element not found');\n }\n }\n \n \/\/ Fallback: hide loading after 10 seconds even if iframe doesn't load\n console.log('[iframe-height] Setting up fallback loading hide (10 seconds timeout)');\n setTimeout(function() {\n console.log('[iframe-height] \u23f0 Fallback timeout triggered (10 seconds)');\n const loading = document.getElementById('iframe-loading');\n const iframe = document.getElementById('ai-iframe');\n \n if (loading && iframe) {\n loading.style.display = 'none';\n iframe.classList.add('iframe-loaded');\n console.log('[iframe-height] \u2705 Fallback: Loading animation hidden');\n } else {\n console.log('[iframe-height] \u26a0\ufe0f Fallback: Loading or iframe element not found');\n }\n }, 10000);\n \n console.log('[iframe-height] ========== Script Setup Complete ==========');\n console.log('[iframe-height] Iframe height is fixed at 750px, no dynamic adjustment');\n <\/script>\n<\/section>\n\n<section class=\"intro card\">\n <h2>What is Nunchaku-Qwen-Image-Edit-2509?<\/h2>\n <p>Nunchaku-Qwen-Image-Edit-2509 is a <strong>quantized version of the Qwen-Image-Edit-2509 model<\/strong>, specifically optimized for fast and consistent AI-driven image editing. Designed to work seamlessly with the Nunchaku inference engine and ComfyUI, this model brings professional-grade image manipulation capabilities to your workflow.<\/p>\n \n <p>This cutting-edge tool excels at <strong>localized edits, object swaps, background changes, and attribute transfer<\/strong>, all guided by natural language prompts. Whether you’re a digital artist, product photographer, or content creator, this model delivers studio-ready results with unprecedented speed and accuracy.<\/p>\n \n <div class=\"highlight-box\">\n <p><strong>Key Innovation:<\/strong> The model supports multi-image editing, allowing you to blend or transform up to three reference images simultaneously\u2014perfect for advanced compositing tasks like merging a person with a product or placing subjects in new scenes.<\/p>\n <\/div>\n<\/section>\n<section class=\"company-profile\">\n <h2>Company Behind nunchaku-tech\/nunchaku-qwen-image-edit-2509<\/h2>\n <div class=\"company-profile-body\">\n <p>Discover more about nunchaku-tech, the organization responsible for building and maintaining nunchaku-tech\/nunchaku-qwen-image-edit-2509.<\/p>\n <p>No reliable English-language information is available regarding an AI or LLM company, organization, or individual named <strong>Nunchaku Team<\/strong>. There are no notable references to this name in the context of artificial intelligence, large language models, or related research communities as of November 2025. If you have additional context or alternative spellings, please provide them for a more targeted search.<\/p>\n \n <\/div>\n<\/section>\n\n\n<section class=\"how-to-use card\">\n <h2>How to Use Nunchaku-Qwen-Image-Edit-2509<\/h2>\n \n <h3>Installation and Setup<\/h3>\n <ol>\n <li><strong>Install ComfyUI:<\/strong> Ensure you have ComfyUI installed on your system as the primary interface for running the model<\/li>\n <li><strong>Download the Model:<\/strong> Access the quantized model from Hugging Face (nunchaku-tech\/nunchaku-qwen-image-edit-2509) in either INT4 format (for non-Blackwell GPUs) or NVFP4 format (for Blackwell\/50-series GPUs)<\/li>\n <li><strong>Select Rank Option:<\/strong> Choose between r32 (faster inference) or r128 (higher quality output) based on your needs<\/li>\n <li><strong>Install Nunchaku Extension:<\/strong> Add the ComfyUI-nunchaku extension to enable model integration<\/li>\n <li><strong>Load Workflow:<\/strong> Import pre-built workflows designed for specific editing tasks (available in the official repository)<\/li>\n <\/ol>\n \n <h3>Basic Editing Workflow<\/h3>\n <ol>\n <li><strong>Prepare Your Images:<\/strong> Load 1-3 reference images (source image, optional style reference, optional product\/object reference)<\/li>\n <li><strong>Write Your Prompt:<\/strong> Describe the desired edit using natural language (e.g., “Replace the background with a modern studio setting”)<\/li>\n <li><strong>Add ControlNet Inputs (Optional):<\/strong> Include depth maps, edge maps, or keypoint maps for more precise control over the output<\/li>\n <li><strong>Configure Parameters:<\/strong> Adjust settings like inference speed, quality level, and consistency strength<\/li>\n <li><strong>Generate and Refine:<\/strong> Run the model and iterate on prompts or parameters to achieve your desired result<\/li>\n <\/ol>\n<\/section>\n\n<section class=\"insights card\">\n <h2>Latest Research and Capabilities<\/h2>\n \n <h3>Enhanced Consistency in Single-Image Editing<\/h3>\n <p>According to recent updates from September 2025, the Nunchaku-Qwen-Image-Edit-2509 model introduces <strong>significant improvements in consistency<\/strong> for single-image edits. The model now excels at:<\/p>\n \n <div class=\"feature-grid\">\n <div class=\"feature-item\">\n <h4>Facial Identity Preservation<\/h4>\n <p>Maintains accurate facial features and expressions even during complex transformations<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>Product Identity Retention<\/h4>\n <p>Keeps product characteristics intact while changing backgrounds or contexts<\/p>\n <\/div>\n <div class=\"feature-item\">\n <h4>Text Rendering Quality<\/h4>\n <p>Improved accuracy in preserving and rendering text elements within images<\/p>\n <\/div>\n <\/div>\n \n <h3>Multi-Image Editing Capabilities<\/h3>\n <p>The model’s <strong>multi-image support<\/strong> enables advanced compositing scenarios that were previously challenging or time-consuming. Real-world applications include:<\/p>\n \n <ul>\n <li><strong>Person + Product Merging:<\/strong> Seamlessly integrate products into lifestyle photography<\/li>\n <li><strong>Person + Scene Composition:<\/strong> Place subjects in entirely new environments while maintaining realistic lighting and perspective<\/li>\n <li><strong>Style Transfer Across Images:<\/strong> Apply the aesthetic qualities of one image to another while preserving content structure<\/li>\n <li><strong>Object Replacement:<\/strong> Swap objects between images with contextually appropriate integration<\/li>\n <\/ul>\n \n <h3>Native ControlNet Integration<\/h3>\n <p>A major advancement in the 2509 version is <strong>native support for ControlNet inputs<\/strong>, providing unprecedented control over editing outcomes. Supported control types include:<\/p>\n \n <ul>\n <li><strong>Depth Maps:<\/strong> Control spatial relationships and 3D structure in edited images<\/li>\n <li><strong>Edge Maps:<\/strong> Preserve or modify structural boundaries with precision<\/li>\n <li><strong>Keypoint Maps:<\/strong> Guide pose and positioning for human subjects or objects<\/li>\n <\/ul>\n \n <div class=\"highlight-box\">\n <p><strong>Performance Optimization:<\/strong> The 4-bit quantized model (INT4\/NVFP4) delivers up to 50% faster inference compared to full-precision versions while maintaining 95%+ quality parity, making it ideal for production workflows requiring both speed and quality.<\/p>\n <\/div>\n \n <p><em>Source: <a href=\"https:\/\/qwen.ai\/blog?id=7a90090115ee193ce6a7f619522771dd9696dd93&from=research.latest-advancements-list\" target=\"_blank\" rel=\"noopener nofollow\">Qwen AI Official Blog<\/a>, <a href=\"https:\/\/huggingface.co\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\" target=\"_blank\" rel=\"noopener nofollow\">Hugging Face Model Card<\/a><\/em><\/p>\n<\/section>\n\n<section class=\"details card\">\n <h2>Technical Specifications and Use Cases<\/h2>\n \n <h3>Model Variants and Hardware Requirements<\/h3>\n <p>The Nunchaku-Qwen-Image-Edit-2509 is available in multiple configurations to match different hardware capabilities:<\/p>\n \n <ul>\n <li><strong>INT4 Quantization:<\/strong> Optimized for NVIDIA GPUs (RTX 30-series, 40-series, and earlier) with reduced memory footprint<\/li>\n <li><strong>NVFP4 Quantization:<\/strong> Specifically designed for Blackwell architecture GPUs (RTX 50-series) leveraging advanced 4-bit floating-point precision<\/li>\n <li><strong>Rank 32 (r32):<\/strong> Faster inference speed, suitable for real-time applications and iterative workflows<\/li>\n <li><strong>Rank 128 (r128):<\/strong> Higher quality output with more detailed preservation, ideal for final production renders<\/li>\n <\/ul>\n \n <h3>Professional Use Cases<\/h3>\n \n <h4>E-commerce Product Photography<\/h4>\n <p>Transform product images into studio-ready assets without expensive photoshoots. The model can:<\/p>\n <ul>\n <li>Replace backgrounds with professional studio settings<\/li>\n <li>Adjust lighting and shadows for consistent product catalogs<\/li>\n <li>Create lifestyle contexts by merging products with scene references<\/li>\n <li>Generate multiple variations from a single product shot<\/li>\n <\/ul>\n \n <h4>Portrait and Fashion Photography<\/h4>\n <p>Enhance and transform portrait photography with precision:<\/p>\n <ul>\n <li>Change backgrounds while preserving natural lighting on subjects<\/li>\n <li>Transfer styling and color grading from reference images<\/li>\n <li>Adjust clothing or accessories using object swap capabilities<\/li>\n <li>Maintain facial identity across different scene contexts<\/li>\n <\/ul>\n \n <h4>Creative Content Production<\/h4>\n <p>Accelerate creative workflows for digital artists and content creators:<\/p>\n <ul>\n <li>Rapid concept visualization by merging multiple reference images<\/li>\n <li>Style exploration through attribute transfer between images<\/li>\n <li>Advanced photo manipulation with natural language guidance<\/li>\n <li>Consistent character or product appearance across multiple scenes<\/li>\n <\/ul>\n \n <h3>Integration with ComfyUI Workflows<\/h3>\n <p>The model’s deep integration with ComfyUI provides a node-based interface for complex editing pipelines. Pre-built workflows available in the official repository include:<\/p>\n \n <ul>\n <li><strong>Single-Image Background Replacement:<\/strong> Quick background swaps with automatic edge refinement<\/li>\n <li><strong>Multi-Image Style Merge:<\/strong> Combine aesthetic elements from multiple sources<\/li>\n <li><strong>ControlNet-Guided Editing:<\/strong> Precise structural control using depth, edge, or pose maps<\/li>\n <li><strong>Batch Processing Workflows:<\/strong> Apply consistent edits across multiple images<\/li>\n <\/ul>\n \n <p>These workflows can be customized and chained together to create sophisticated editing pipelines tailored to specific production needs.<\/p>\n \n <p><em>Reference: <a href=\"https:\/\/www.datacamp.com\/tutorial\/qwen-image-edit-2509-tutorial\" target=\"_blank\" rel=\"noopener nofollow\">DataCamp Tutorial on Qwen-Image-Edit-2509<\/a><\/em><\/p>\n<\/section>\n\n<aside class=\"faq card\">\n <h2>Frequently Asked Questions<\/h2>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What hardware do I need to run Nunchaku-Qwen-Image-Edit-2509?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n For optimal performance, you need an NVIDIA GPU with at least 8GB VRAM. The INT4 quantized version works on RTX 30-series and 40-series GPUs, while the NVFP4 version is optimized for RTX 50-series (Blackwell) GPUs. The r32 rank option requires less VRAM and runs faster, while r128 provides higher quality but needs more memory. A system with 16GB RAM and a modern CPU is recommended for smooth ComfyUI operation.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How does multi-image editing work in practice?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Multi-image editing allows you to input up to three reference images: a source image (the main image to edit), a style reference (to transfer aesthetic qualities), and an object\/scene reference (to merge elements). The model intelligently blends these inputs based on your text prompt. For example, you can take a portrait photo, a product image, and a background scene, then prompt the model to “place the person holding the product in the scenic background” for seamless compositing.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>What are ControlNet inputs and when should I use them?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n ControlNet inputs (depth maps, edge maps, keypoint maps) provide structural guidance to the editing process. Use depth maps when you need to maintain or modify 3D spatial relationships, edge maps for precise boundary control, and keypoint maps for human pose guidance. These are particularly useful for complex edits where text prompts alone might not provide enough control, such as maintaining specific poses or preserving architectural structures during background changes.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How does the quality compare between r32 and r128 rank options?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n The r32 rank option prioritizes speed and is excellent for iterative workflows, previews, and real-time applications. It typically runs 2-3x faster than r128 with approximately 90-95% of the quality. The r128 rank option provides maximum detail preservation, better consistency in complex edits, and superior handling of fine textures. For final production outputs, especially for print or high-resolution displays, r128 is recommended. For rapid prototyping and concept exploration, r32 offers an excellent balance.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>Can I use this model for commercial projects?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Yes, the Nunchaku-Qwen-Image-Edit-2509 model can be used for commercial projects, but you should review the specific licensing terms on the Hugging Face model page. The model is particularly well-suited for commercial applications like e-commerce product photography, advertising content creation, and professional photo editing services. Always ensure you have appropriate rights to the input images you’re editing, as the model doesn’t grant rights to source imagery.\n <\/div>\n <\/div>\n \n <div class=\"faq-item\">\n <div class=\"faq-question\">\n <span>How do I get started if I’m new to ComfyUI?<\/span>\n <span class=\"chevron\"><\/span>\n <\/div>\n <div class=\"faq-answer\">\n Start by watching the official tutorial series, particularly “ComfyUI Tutorial Series Ep 64: Nunchaku Qwen Image Edit 2509” which provides step-by-step guidance. Install ComfyUI following the official documentation, then add the ComfyUI-nunchaku extension. Download pre-built workflows from the GitHub repository to understand the node structure before creating custom workflows. The community provides extensive documentation and example workflows that demonstrate common editing tasks, making it easier to learn through practical examples.\n <\/div>\n <\/div>\n<\/aside>\n\n<footer class=\"references card\">\n <h2>References and Resources<\/h2>\n <ul>\n <li><a href=\"https:\/\/www.youtube.com\/watch?v=O27YkFwOSHk\" target=\"_blank\" rel=\"noopener nofollow\">ComfyUI Tutorial Series Ep 64: Nunchaku Qwen Image Edit 2509<\/a><\/li>\n <li><a href=\"https:\/\/huggingface.co\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\" target=\"_blank\" rel=\"noopener nofollow\">Nunchaku-Qwen-Image-Edit-2509 Model Card on Hugging Face<\/a><\/li>\n <li><a href=\"https:\/\/qwen.ai\/blog?id=7a90090115ee193ce6a7f619522771dd9696dd93&from=research.latest-advancements-list\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509: Multi-Image Support, Improved Consistency – Official Blog<\/a><\/li>\n <li><a href=\"https:\/\/www.datacamp.com\/tutorial\/qwen-image-edit-2509-tutorial\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509 Tutorial: Generate Studio-Ready Product Images<\/a><\/li>\n <li><a href=\"https:\/\/www.youtube.com\/watch?v=ET1g_3Z_c0k\" target=\"_blank\" rel=\"noopener nofollow\">Run Qwen Image Edit (2509) Locally – Video Tutorial<\/a><\/li>\n <li><a href=\"https:\/\/nunchaku.tech\/docs\/nunchaku\/usage\/qwen-image-edit.html\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit Official Documentation – Nunchaku<\/a><\/li>\n <li><a href=\"https:\/\/www.runcomfy.com\/comfyui-workflows\/nunchaku-qwen-image-in-comfyui-multi-image-merge-style-edit\" target=\"_blank\" rel=\"noopener nofollow\">Nunchaku Qwen Image in ComfyUI: Multi-Image Merge & Style Edit Workflow<\/a><\/li>\n <li><a href=\"https:\/\/github.com\/nunchaku-tech\/ComfyUI-nunchaku\/blob\/main\/README.md\" target=\"_blank\" rel=\"noopener nofollow\">ComfyUI-Nunchaku Extension Documentation on GitHub<\/a><\/li>\n <li><a href=\"https:\/\/github.com\/nunchaku-tech\/nunchaku\/issues\/715\" target=\"_blank\" rel=\"noopener nofollow\">Qwen-Image-Edit-2509 Support Feature Request – GitHub Issue<\/a><\/li>\n <li><a href=\"https:\/\/cnb.cool\/ai-models\/nunchaku-tech\/nunchaku-qwen-image-edit-2509\/-\/blob\/main\/README.md\" target=\"_blank\" rel=\"noopener nofollow\">Model Card for Nunchaku-Qwen-Image-Edit-2509 – CNB Repository<\/a><\/li>\n <\/ul>\n<\/footer>\n <\/div>\n<\/body>\n<\/html>\n","protected":false},"excerpt":{"rendered":"<p>Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online, Click to Use! Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online Fast, consistent, and powerful quantized AI model for multi-image editing, object swapping, and studio-quality transformations Loading AI Model Interface… What is Nunchaku-Qwen-Image-Edit-2509? Nunchaku-Qwen-Image-Edit-2509 is a quantized version of the Qwen-Image-Edit-2509 model, specifically optimized for fast and consistent AI-driven image editing. Designed to […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-4037","page","type-page","status-publish","hentry"],"blocksy_meta":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Robin","author_link":"https:\/\/crepal.ai\/blog\/author\/robin\/"},"uagb_comment_info":0,"uagb_excerpt":"Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online, Click to Use! Nunchaku-Qwen-Image-Edit-2509 Free Image Generate Online Fast, consistent, and powerful quantized AI model for multi-image editing, object swapping, and studio-quality transformations Loading AI Model Interface… What is Nunchaku-Qwen-Image-Edit-2509? Nunchaku-Qwen-Image-Edit-2509 is a quantized version of the Qwen-Image-Edit-2509 model, specifically optimized for fast and consistent AI-driven image editing. Designed to…","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4037","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=4037"}],"version-history":[{"count":0,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/pages\/4037\/revisions"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=4037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}