MOSS Image - Color-Depth-Control LoRA
Control adapter trained by darask0 for MOSS Image.
About
This ComfyUI workflow demonstrates how to guide MOSS Image generation with a Color-Depth Control LoRA trained by darask0. It lets you steer structure with a depth map while preserving or modulating color from a reference image, making it easy to create style variations that keep geometry intact. At its core, LoadImage brings in your RGB reference and (optionally) a precomputed depth map, while PreviewImage and ImageCompare help you iterate quickly and check differences across runs. SaveImageAdvanced handles clean, configurable exports.
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- Reading the workflow
Runs in ComfyUI. This workflow can't run on this page. Open it in Comfy Cloud with everything loaded, or download it for your own ComfyUI.
Try in CloudQuestions & answers
The workflow is designed to leverage a depth map for structural guidance, which is strongly recommended for best results. If you don’t have one, generate it first with a depth-preprocessor node (e.g., MiDaS/Depth Anything) or an external tool, then load it alongside your color image.
You’ll need the MOSS Image base model and the Color-Depth Control LoRA trained by darask0. Place them in your ComfyUI model directories where your installation expects checkpoints/LoRAs, then select them inside the custom MOSS nodes (IDs 3d58c0bd-7a87-40a7-bdb5-a209a27f10d7 and 882218ff-0ea7-4047-9b12-b79cdc4e9faa). Reload models if they don’t appear.
Ensure the RGB image and depth map share the same resolution and alignment. Use standard grayscale depth maps (near=brighter, far=darker) and avoid extreme upscaling. If you still see artifacts, lower the adapter/control strength, reduce output resolution, and keep a fixed seed while you iterate.
This workflow focuses on image-guided control (color+depth). For pure text-to-image with MOSS, use a text-to-image workflow built for that purpose. You can still combine prompts with this pipeline if the custom node exposes text inputs, but depth guidance remains the main driver.