<h1 id="update-2026-07-05:-krea-2-turbo-v2.0-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2026-07-05: Krea 2 Turbo v2.0 workflow added</span></h1><h2 id="photoflow-krea-2-v2.0">PhotoFlow Krea 2 v2.0</h2><p>Upscaling has been improved in version 2.0. There are now presets for the settings (sampler, scheduler, and denoise settings) . This allows upscaling to be performed in pixel space to achieve upscales with minimal denoising, resulting in smoother backgrounds that closely resemble the original image. In addition, the euler_ancestral_cfg_pp sampler in combination with the linear_quadratic scheduler is now recommended for high image quality. For fast generation, euler_ancestral with simple can still be used. There are also now filters to correct the colors of the final image, which can become flat due to repeated sampling.</p><p>⚠️ Note that the latest version 0.27.0 of ComfyUI (July 2027) is required to use the fast int8 models.</p><hr /><h2 id="update-2026-07-02:-krea-2-turbo-v1.0-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2026-07-02: Krea 2 Turbo v1.0 workflow added</span></h2><h2 id="photoflow-krea-2-v1.0">PhotoFlow Krea 2 v1.0</h2><p>Krea 2 Turbo is the new king of realism and is suitable for both SFW and NSFW content. This workflow is simple, super fast, and optimized for realism.</p><p>⚠️ Note that the latest version 0.27.0 of ComfyUI (July 2027) is required to use the fast int8 models.</p><hr /><h2 id="update-2026-03-30:-qwen-image-2512-nunchaku-v1.0-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2026-03-30: Qwen-Image-2512 Nunchaku v1.0 workflow added</span></h2><h2 id="photoflow-qwen-image-2512-nunchaku-v1.0">PhotoFlow Qwen-Image-2512 Nunchaku v1.0</h2><p>Qwen-Image-2512 offers exceptional prompt comprehension and delivers outstanding output quality. However, this comes at the cost of very long generation times due to the model's size and the large number of processing steps required. A practical solution in this workflow is to use a heavily quantized Nunchaku FP4 version, which maintains surprisingly high quality. When combined with an 8-step Lightning LoRA, generation speed improves dramatically while image quality remains excellent.</p><p>⚠️ Nunchaku requires a few additional setup steps. Please follow the instructions provided in the workflow.</p><hr /><h2 id="update-2026-03-21:-flux.2-klein-9b-v1.1-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2026-03-21: Flux.2 klein 9B v1.1 workflow added</span></h2><h2 id="photoflow-flux.2-klein-9b-v1.1">PhotoFlow Flux.2 klein 9B v1.1</h2><p>Version 1.1 is simply a hotfix that resolves an issue with an incorrect calculation of the tile size in the Refiner step. Additionally, the EasyLoraStack has been replaced by the Power Lora Loader. The group bypass for all additional steps now also takes the previews into account accordingly.</p><hr /><h2 id="update-2026-03-04:-flux.2-klein-9b-v1.0-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2026-03-04: Flux.2 klein 9B v1.0 workflow added</span></h2><h2 id="photoflow-flux.2-klein-9b-v1.0">PhotoFlow Flux.2 klein 9B v1.0</h2><p>Flux.2 klein 9B is a fast, 4‑step model supporting image generation up to 4 MP. The workflow starts with a recommended 2 MP base image, followed by optional face refinement and SeedVR2 upscaling to 5 MP for added fine detail. A subsequent refinement step removes SeedVR2 artefacts and enables optional upscaling up to 16 MP. A subtle touch of film grain completes the process, enhancing realism.</p><hr /><h2 id="update-2025-12-07:-z-image-turbo-v2.0-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2025-12-07: Z-Image-Turbo v2.0 workflow added</span></h2><h2 id="photoflow-z-image-turbo-v2.0">PhotoFlow Z-Image-Turbo v2.0</h2><p>Version 2.0 introduces an optional Refiner and FaceDetailer, along with a recommended set of LoRAs designed to enhance photorealism and overall image quality.</p><p>⚠️⚠️⚠️</p><p><strong>Make sure you're using ComfyUI version 0.3.76 or newer, since earlier versions contained a bug that affected the correct application of Z-Image-Turbo LoRAs.</strong></p><p><strong>Also ensure your SeedVR2 node is up to date, as a previous issue causing visual artifacts has been fixed.</strong></p><p>⚠️⚠️⚠️</p><p></p><p>♥️♥️♥️</p><p>A huge thank you to all the creators of the LoRAs recommended in version 2.0. Your work makes this level of quality possible!</p><p><strong>All images in the gallery were generated using the same set of LoRAs with identical strength settings, so in most cases no additional tweaking is required 🙂.</strong></p><p>Special thanks to <strong>Danrisi</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/1862761?modelVersionId=2465980">NiceGirls UltraReal</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/1662740?modelVersionId=2452071">Lenovo UltraReal</a>), <strong>aip0pp</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/2174081?modelVersionId=2455720">PhotoReal BetterNudes</a>), <strong>HackAfterDark</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/2176378?modelVersionId=2450841">After Dark</a>), <strong>DirtMcGirt</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/2076522?modelVersionId=2456035">psxZStyle - Photography Style Lora</a>), <strong>ConflictX</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/660731?modelVersionId=2462523">35mm Photo</a>), and <strong>oleshevakatya</strong> (<a target="_blank" rel="ugc" href="https://civarchive.com/models/2186574/movie-wide-angle-z-image-lora?modelVersionId=2462010">Movie Wide Angle</a>).</p><p>♥️♥️♥️</p><hr /><h2 id="update-2025-11-29:-z-image-turbo-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2025-11-29: Z-Image-Turbo workflow added</span></h2><h2 id="photoflow-z-image-turbo">PhotoFlow Z-Image-Turbo</h2><p>Z-Index Turbo is super fast, can generate images in 2 megapixel resolution without upscaling, and focuses on realism, so no LoRAs are required.</p><hr /><h2 id="update-2025-11-23:-qwen-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2025-11-23: Qwen workflow added</span></h2><h2 id="photoflow-qwen">PhotoFlow Qwen</h2><p>Until now, I had been hesitant to create a workflow for Qwen because, although its image quality is outstanding, the generation times can be very long when aiming for maximum quality. The Lightning LoRA helped reduce waiting times significantly, but using it alone led to a quality drop that didn’t meet my standards. However, by combining multiple LoRAs - including the 8 Steps Lightning LoRA - with a new upscaling process using SeedVR2, I have finally achieved a level of quality that satisfies me.</p><p></p><p>I have also released a separate workflow dedicated solely to upscaling images using SeedVR2. You can find it <a target="_blank" rel="ugc" href="https://civarchive.com/models/2149653?modelVersionId=2431360">here</a>.</p><hr /><h2 id="update-2025-10-12:-chroma-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2025-10-12: Chroma workflow added</span></h2><h2 id="photoflow-chroma-hd-flash">PhotoFlow Chroma HD Flash</h2><p>After Danrisi released the awesome <a target="_blank" rel="ugc" href="https://civarchive.com/models/1662740?modelVersionId=2299345">Lenovo UltraReal LoRA</a>, I gave Chroma another shot because the images looked super promising. And I gotta say, <a target="_blank" rel="ugc" href="https://civarchive.com/models/1330309?modelVersionId=2164239">Chroma HD</a> is amazing! Chroma needs about 50 steps in standard mode for awesome results, and even with an RTX 5090, that's too long of a wait for me. Fortunately, there is a <a target="_blank" rel="ugc" href="https://civarchive.com/models/2032955/chroma-flash-heun?modelVersionId=2300965">Chroma Flash LoRA</a> that achieves great results with just a few steps. With CFG 1.0, the time per step is halved again!</p><hr /><h2 id="update-2025-08-23:-wan-2.22.1-t2i-workflow-added"><span style="color:rgb(250, 176, 5)">Update 2025-08-23: Wan 2.2/2.1 T2I workflow added</span></h2><h2 id="photoflow-wan-t2i">PhotoFlow Wan T2I</h2><p>Wan 2.1 and Wan 2.2 are video models that can also be used to create high-resolution images. Due to the impressive quality, I decided to create a dedicated workflow for them. Wan 2.2 was released during the development of this workflow. Fortunately, Wan 2.2 is even better and can be used like the Wan 2.1 model, including compatibility with most Wan 2.1 LoRAs. Style LoRAs, in particular, work very well. SageAttention with Triton is supported but not required, and the Lightning LoRA is used to ensure fast generation of high-resolution images. Instructions on how to set up and use the workflow are included within the workflow itself.</p><hr /><h2 id="photoflow-xl">PhotoFlow XL</h2><p>This SDXL ComfyUI workflow has been developed to generate realistic photos with a focus on people.</p><p></p><h3 id="the-version-2.0-is-not-restricted-to-the-use-of-the-dmd2-speed-lora.-the-workflow-works-just-as-well-without-it-love."><span style="color:rgb(64, 192, 87)">The version 2.0 is not restricted to the use of the DMD2 Speed LoRA. The workflow works just as well without it ♥️.</span></h3><p></p><p>The default settings and comments in the workflow are geared towards DMD. Accordingly, you only need to adjust the CFG, sampler, scheduler and steps for a non-DMD use 🙂. These values are a good start for a generation without the DMD LoRA:</p><p></p><p><strong>KSampler</strong></p><p><strong>CFG:</strong> 3.5 (2.5 - 5.5)<br /><strong>Sampler:</strong> dpmpp_sde_gpu<br /><strong>Scheduler:</strong> normal<br /><strong>Steps:</strong> 25</p><p></p><p><strong>FaceDetailer</strong></p><p><strong>CFG:</strong> 3.5 (2.5 - 5.5)<br /><strong>Sampler:</strong> dpmpp_sde_gpu<br /><strong>Scheduler:</strong> karras<br /><strong>Steps:</strong> 18</p><p></p><h2 id="recommended-checkpoints">Recommended Checkpoints</h2><p>The following checkpoints are particularly suitable:</p><p></p><p><strong>SFW</strong></p><ul><li><p>epiCRealism XL: <a target="_blank" rel="ugc" href="https://civarchive.com/models/277058?modelVersionId=1920523">https://civarchive.com/models/277058?modelVersionId=1920523</a></p></li><li><p>HelloWorld XL: <a target="_blank" rel="ugc" href="https://civarchive.com/models/43977/leosams-helloworld-xl">https://civarchive.com/models/43977/leosams-helloworld-xl</a></p></li><li><p>Juggernaut XL: <a target="_blank" rel="ugc" href="https://civarchive.com/models/133005/juggernaut-xl">https://civarchive.com/models/133005/juggernaut-xl</a></p></li><li><p>RealVisXL 5.0: <a target="_blank" rel="ugc" href="https://civarchive.com/models/139562?modelVersionId=789646">https://civarchive.com/models/139562?modelVersionId=789646</a></p><p></p></li></ul><p><strong>NSFW</strong></p><ul><li><p>Jib Mix Realistic XL: <a target="_blank" rel="ugc" href="https://civarchive.com/models/194768?modelVersionId=1809082">https://civarchive.com/models/194768?modelVersionId=1809082</a></p></li><li><p>DonutsDeliveryMix: <a target="_blank" rel="ugc" href="https://civarchive.com/models/605283?modelVersionId=1739105">https://civarchive.com/models/605283?modelVersionId=1739105</a></p></li><li><p>Lustify: <a target="_blank" rel="ugc" href="https://civarchive.com/models/573152?modelVersionId=1094291">https://civarchive.com/models/573152?modelVersionId=1094291</a></p></li><li><p>Analog Madness SDXL: <a target="_blank" rel="ugc" href="https://civarchive.com/models/408483/analog-madness-sdxl-realistic-model">https://civarchive.com/models/408483/analog-madness-sdxl-realistic-model</a></p></li><li><p>Big Love XL2: <a target="_blank" rel="ugc" href="https://civarchive.com/models/897413?modelVersionId=1464711">https://civarchive.com/models/897413?modelVersionId=1464711</a></p></li><li><p>XXX-Ray v1.1: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1064836?modelVersionId=1305584">https://civarchive.com/models/1064836?modelVersionId=1305584</a></p></li></ul><p></p><p><strong>NSFW (DMD included)</strong></p><ul><li><p>GonzaLomo (Unity/Real XL DMD): <a target="_blank" rel="ugc" href="https://civarchive.com/models/1513492/gonzalomo-xlfluxpony">https://civarchive.com/models/1513492/gonzalomo-xlfluxpony</a></p></li><li><p>Lustify ENDGAME DMD2: <a target="_blank" rel="ugc" href="https://civarchive.com/models/573152?modelVersionId=1099200">https://civarchive.com/models/573152?modelVersionId=1099200</a></p></li><li><p>XXX-Ray DMD2: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1064836?modelVersionId=1624818">https://civarchive.com/models/1064836?modelVersionId=1624818</a></p></li></ul><p></p><h2 id="installation">Installation</h2><h3 id="comfyui-manager-installation">ComfyUI Manager Installation</h3><p><a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#comfyui-manager">https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#comfyui-manager</a></p><p></p><h3 id="installation-of-missing-nodes">Installation of Missing Nodes</h3><p>Missing nodes in this workflow are highlighted in red. To install them, open the ComfyUI Manager and click on the “Install Missing Custom Nodes” button.</p><p></p><h3 id="comfyui-kjnodes-needed">⚠️‼️ComfyUI-KJNodes needed‼️⚠️</h3><p>It it may happen that the ComfyUI-KJNodes are not included in the list of missing nodes. Simply install the ComfyUI-KJNodes via ComfyUI Manager &gt; Custom Nodes Manager.</p><p></p><p>After the installation, restart ComfyUI and refresh the browser page.</p><p></p><h2 id="further-information-and-tips-on-configuration-can-be-found-in-the-workflow-in-the-info-node."><span style="color:rgb(250, 176, 5)">Further information and tips on configuration can be found in the workflow in the INFO node.</span></h2><p></p><h2 id="tldr">TL;DR</h2><p>The workflow was developed and tested with a NVIDIA RTX 4080 (16 GB VRAM) and 96 GB RAM.</p><p></p><p>Leave a positive review, if you like the workflow 😊.</p><p></p>

PhotoFlow (Krea 2, Flux.2 klein 9B, Z-Image-Turbo, Qwen-2512, Qwen, Chroma, Wan 2.2/2.1, SDXL) - T2I text-to-image txt2img workflow

<p>A text-to-image workflow supporting Wan 2.1 and Wan 2.2 low noise T2V 14B models.</p>

Files with SHA256: 2d762f337e7fd5990e0aa4ec74eb996aa50e746dd15da1ad498b1f71fbb65f73