REDQW21 UNLOCKED 评估版 V2 TI2I | REDGPT k2T 剧创版

REDQW21(UNLOCKED)v2 TI2I 多参图生图版本文生图工作流如下（改为参考图输入即可使用）： The workflow as follows (switch to reference image input):<a target="_blank" rel="ugc" href="https://civitai.red/models/579280/applicable-to-qw21-or-ltx25-or-mm-h3-or-krea2-or-ideogram-4-wf-collection">EasyCache(Native accelerator)_QW21_image_edit_v1 09/21</a>同时支持文生图与最多10张输入图的参考与Edit改图模式（后期方案消除了2k毛刺感） Supports both text-to-image generation and <a target="_blank" rel="ugc" href="https://civitai.red/models/579280/qwen-image-21-or-ltx25-or-mm-h3-or-krea2-or-ideogram-4-wf-collection?modelVersionId=3344213">v3 version adds NV DLSS5 &amp; LUT</a> Reference / Edit image modification modes with up to 10 refs带有 ComfyUI 原生 Cache 步数优化的 Applicable to QW2609 HQ工作流内置多参考输入开关（可以复制为最多10图参考） 内置CivitAI发图助手（自动填写提示词及采样器） 内置图像后期优化方案及电影级底噪生成 内置 Nvidia RTX VSR 超分方案 内置批量Lora控制器(The post-processing removes that subtle 2K-level graininess.)<a target="_blank" rel="ugc" href="https://civitai.red/models/579280/qwen-image-21-or-ltx25-or-mm-h3-or-krea2-or-ideogram-4-wf-collection?modelVersionId=3344213">v3版本追加了N卡（DLSS5光影材质增强-适配20-50系）和LUT加载器</a>请将 CinemateticLUT.txt 文件改名为 CinemateticLUT.cube 存放到： ComfyUI\custom_nodes\comfyui_layerstyle\lutDLSS5 组件包原作者仓库，请丢给LM协助安装： <a target="_blank" rel="ugc" href="https://github.com/lisitskyaa/ComfyUI-DLSS5-NR">https://github.com/lisitskyaa/ComfyUI-DLSS5-NR</a>Applicable to QW21 workflow with ComfyUI native Cache step optimizationBuilt-in multi-reference input switch (can be duplicated for up to 10 reference images) Built-in CivitAI image generation assistant (automatically fills in prompts and samplers) Built-in image post-processing optimization and cinematic-grade film grain generation Built-in Nvidia RTX VSR upscaling solution Built-in batch Lora controller(The post-processing removes that subtle 2K-level graininess.)<a target="_blank" rel="ugc" href="https://civitai.red/models/579280/qwen-image-21-or-ltx25-or-mm-h3-or-krea2-or-ideogram-4-wf-collection?modelVersionId=3344213">The v3 version adds NV support</a> (DLSS5 lighting and material enhancement—compatible with the 20–50 series) and a LUT loader.Please rename the CinemateticLUT.txt file to CinemateticLUT.cube and save it to： ComfyUI\custom_nodes\comfyui_layerstyle\lutOriginal repository for the DLSS5 component package, please send it to LM to assist with the installation: <a target="_blank" rel="ugc" href="https://github.com/lisitskyaa/ComfyUI-DLSS5-NR">https://github.com/lisitskyaa/ComfyUI-DLSS5-NR</a>使用说明与许可本页面出售的是作者的 ComfyUI 工作流方案。Buzz 价格是作者在 Civitai 上为这份工作流文件及其站内访问收取的创作者定价，依据是 Civitai 的创作者定价规则。支付 Buzz 只购买该工作流在 Civitai 上的访问，不购买、不转让、也不扩大 Qwen-Image-2.1 的任何权利。License and use noticeThe item sold on this page is a ComfyUI workflow made by the author. The Buzz price is the author’s creator pricing on Civitai for access to that workflow file, under Civitai’s creator-pricing rules. Paying Buzz buys access to the workflow on Civitai. It does not buy, transfer, or expand any right in Qwen-Image-2.1.本工作流不含[ 权重、参数，以及推理、训练、微调相关代码和文档 ] 因此，仅可在通义已经授权的[ 研究或评估 ]用途内使用本工作流及 Qwen-Image-2.1。购买本工作流不使生成、展示、销售图像或其他用途变成已获授权的商业使用。需要商业使用的，须自行向权利人取得商业许可。作者对工作流节点图的定价，不改变上述范围。This workflow does not contain the Qwen-Image-2.1 weights, parameters, inference-enabling code, training-enabling code, fine-tuning-enabling code, or documentation. Use this workflow and Qwen-Image-2.1 only for the research or evaluation purposes that Tongyi has authorized. Buying this workflow does not make generating, displaying, or selling images, or any other use, an authorized commercial use. Anyone who needs commercial use must obtain a commercial license from the rights holder. The author’s price for the workflow graph does not change that scope.Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.Built with Qwen, Applicable to Qwen-Image-2.1<a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE</a>

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REDQW21(UNLOCKED)v2 TI2I

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