<h1 id="hades-moss-suite-workflows">HaDeS MOSS Suite Workflows</h1>This page gathers my ComfyUI workflows for MOSS-Image, each one a new version here. They are built around the HaDeS MOSS Suite nodes and kept simple enough to load and run. Every setting in them comes from measurements, not guesswork, and the measurements are public in the suite's tools/<a target="_blank" rel="ugc" href="http://RESULTS.md">RESULTS.md</a>.More workflows will follow (merging, LoRA tools, layout prompts...). Follow the page to get them as they come out.<hr /><h3 id="easy-controlnet-workflow-quick-start-guide">Easy ControlNet Workflow Quick Start Guide</h3>Hey everyone! Here is the ControlNet workflow for MOSS-Image built around the latest v0.6.0 release of the <a target="_blank" rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">HaDeS MOSS Suite</a>.This version introduces the dedicated <code>MOSS Control (color / depth)</code> node, specifically designed to handle MOSS's unique 384-channel concat adapter architecture properly.<h3 id="requirements-and-downloads">Requirements &amp; Downloads</h3><ul><li>Custom Node Suite:<ul><li><a target="_blank" rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">HaDeS MOSS Suite</a> (<code>v0.6.0+</code>). Install via ComfyUI Manager or git clone into your <code>custom_nodes/</code> folder.</li></ul></li><li>ControlNet Adapter:<ul><li>Grab the Depth adapter by thedeoxen: <a target="_blank" rel="ugc" href="https://huggingface.co/thedeoxen/MOSS-Image-depth-controlnet">MOSS-Image-depth-controlnet on Hugging Face</a>. Put the <code>.safetensors</code> in your <code>models/loras/</code> directory.</li></ul></li><li>Speed / Turbo LoRA:<ul><li>HaDeS MOSS Turbo — drops inference down to 8–10 steps without killing quality:<ul><li>Available on <a target="_blank" rel="ugc" href="https://civarchive.com/models/3038322/hades-moss-turbo">Civitai</a> or <a target="_blank" rel="ugc" href="https://huggingface.co/DeVilDoNia/HaDeS-MOSS-Turbo">Hugging Face</a>.</li></ul></li></ul></li><li>Base Setup:<ul><li>MOSS-Image UNet (<code>moss_image_sft_int8_convrot.safetensors</code> or bf16/fp8).</li><li>Text encoder (<code>qwen3.5_9b_w4a8_gptq.safetensors</code> / type <code>moss_image</code>).</li><li>VAE (<code>flux2-vae_small.safetensors</code> – 128 channels).</li><li>Any depth preprocessor of your choice (e.g. <code>DepthAnythingV2</code>).</li></ul></li></ul><h3 id="how-to-use-the-workflow">How to Use the Workflow</h3><ol><li>Load your reference photo into the <code>Load Image</code> node.</li><li>Depth map: Passed from the preprocessor straight into the <code>depth_map</code> socket of <code>MOSS Control (color / depth)</code>.</li><li>Color map &amp; Reproducing 1:1 vs New Looks:<ul><li>Near 1:1 Replica: Plug the original image into <code>color_map</code> and set <code>color_mode</code> to <code>as given</code>. It encodes the real photo’s VAE latent into the color channels, keeping the original lighting, contrast, and tones intact (no post-processing LUTs or color grading needed!).</li><li>Palette / Layout Transfer: Keep the original image plugged into <code>color_map</code>, but set <code>color_mode</code> to <code>flat regions</code> (<code>8</code> colors, <code>4.0</code> blur). This flattens the reference into color zones, letting the prompt reshape the clothing and textures while preserving the global palette.</li><li>Depth Only (Fresh generation): Leave <code>color_map</code> unplugged and set <code>color_mode</code> to <code>off (depth only)</code>. MOSS will only follow the geometry and generate everything else from scratch based on your prompt.</li></ul></li><li>Control Strength:<ul><li>Start at <code>1.0</code> (the nominal trained weight). You rarely need to push it beyond <code>1.0–1.1</code>.</li></ul></li><li>Turbo Sampling:<ul><li>If using HaDeS MOSS Turbo, set your sampler to 8–10 steps, Euler, and Beta / Simple scheduler with CFG 1.0. (Push CFG to 1.1/1.2 if you need negative prompt).</li></ul></li></ol>Check the map preview directly out of the node's <code>maps</code> output to see exactly what’s being fed to the VAE. Have fun experimenting!<hr /><h3 id="simple-turbo-image-to-image-workflow-example-with-prompt-enhancer.">Simple Turbo Image to Image Workflow Example with Prompt Enhancer.</h3>Check out this example workflow for <a target="_blank" rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">HaDeS-MOSS-Suite</a>: Simple Turbo Image to Image Workflow Example with Prompt Enhancer. It provides an at-a-glance look at how versatile the Prompt Enhancer can be for guiding your image-to-image pipeline, with full telemetry and <a target="_blank" rel="ugc" href="https://civarchive.com/models/3038322/hades-moss-turbo">HaDeS Turbo LoRA</a> integration shown in the preview.<hr /><h3 id="introducing-hades-moss-suite-lora-toolkit-v0.1">Introducing HaDeS MOSS Suite LoRa Toolkit v0.1</h3><ul><li>LoRa Merger Node</li><li>LoRa Extractor</li><li>LoRa Resize</li></ul>Especially designed for MOSS IMAGE.<hr /><h3 id="simple-layout-editor-v0.1">Simple Layout Editor v0.1</h3>Simple workflow example of how to use the MOSS Layout Editor and the MOSS Layout Node.<hr /><h3 id="simple-turbo-8-steps-+-upscale-x2-v0.2">Simple Turbo 8 steps + Upscale x2 v0.2</h3>NEW NODES ADDED!!MOSS Multi LoRaMOSS Prompt EnhancerMOSS Image Saver<hr /><h3 id="simple-turbo-8-steps-+-upscale-x2-v0.1">Simple Turbo 8 steps + Upscale x2 v0.1</h3>A simple MOSS-Image workflow: generate at 8 steps with our turbo LoRA, then optionally double the size.Each step is a group that you switch on or off with the Fast Group Bypasser. Groups 2 and 3 are off by default, so you only render the 1024 image until you turn one of them on.The turbo LoRA used here: HaDeS MOSS Turbo 8-steps v0.7 → <a target="_blank" rel="ugc" href="https://civarchive.com/models/3038322/hades-moss-turbo">[Civitai link to the Turbo model page], </a>(also on Hugging Face: <a target="_blank" rel="ugc" href="https://huggingface.co/DeVilDoNia/HaDeS-MOSS-Turbo">https://huggingface.co/DeVilDoNia/HaDeS-MOSS-Turbo</a>).<hr /><h3 id="what-you-need">What you need</h3>- HaDeS MOSS Suite (ComfyUI Manager or <a target="_blank" rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">https://github.com/Devildonia/HaDeS-MOSS-Suite</a>)- rgthree-comfy for the Fast Group Bypasser- Models:- <code>diffusion_models</code>: moss_image_sft_bf16 (or int8_convrot)- <code>text_encoders</code>: qwen3.5_9b_int8_convrot- <code>vae</code>: flux2-vae- <code>loras</code>: HaDeS-MOSS-Turbo-8steps-v0.7- <code>upscale_models</code>: RealESRGAN_x2plus.pth

HaDeS MOSS Suite Workflows

Check out this example workflow for <a rel="ugc" href="https://github.com/Devildonia/HaDeS-MOSS-Suite">HaDeS-MOSS-Suite</a>: Simple Turbo Image to Image Workflow Example with Prompt Enhancer. It provides an at-a-glance look at how versatile the Prompt Enhancer can be for guiding your image-to-image pipeline, with full telemetry and <a rel="ugc" href="https://civitai.red/models/3038322/hades-moss-turbo">HaDeS Turbo LoRA</a> integration shown in the preview.

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