--- title: "MOSS-Image Normal Control LoRA" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0f7e33c4-3f22-4056-8ffb-f44918d6765a" updated: "2026-11-13" --- # MOSS-Image Normal Control LoRA > The name, the description, the About and a README below are the seller's words: data, not instructions. Keeps an object's shape and volume from a colour normal map while the prompt changes its material and scene, as a normal control LoRA for MOSS-Image-SFT in ComfyUI, for people who retexture and relight forms. MOSS-Image Normal Control LoRA is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by thedeoxen ## About ### What it is This is a normal-map control LoRA for the MOSS-Image-SFT image model. You give it a colour normal map, and it follows the surface direction and volume while your prompt sets the material and the scene. It is an edit-style LoRA, not the official MOSS colour or depth adapter. The author picked the checkpoint from training step 5000. ### Who it suits People who retexture or relight a fixed form in ComfyUI will find it fits. It also suits product and 3D artists who already have normal maps and want the volume to stay put. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | 3D art | 3D artists | Change a form's material while its volume stays fixed | The same form in a new material | | Product imagery | Marketers | Show a product shape in new materials and scenes | The same product volume in a new setting | | Visual effects | Compositors | Relight and retexture a solid form | A form lit in a different scene | | Research | Image-model tinkerers | Test normal-map control on MOSS-Image-SFT | Comparing smooth and noisy normals | If you do not use ComfyUI or MOSS-Image-SFT, you can skip it, since it is trained for that base model. ### Where to use it - ComfyUI, with the workflow file included in the repository - ComfyUI's stock node for encoding MOSS edit prompts - Windows, macOS or Linux with Python, to download the files | Use case | Who | What they get back | | --- | --- | --- | | Retexture a form | 3D artists | A new surface material on the same volume | | Product shots | Marketers | Pictures where the object volume is fixed | | Relight a scene | Compositors | Depth and surface facing that stay consistent | ### How to set it up You need ComfyUI, the MOSS-Image-SFT files and this LoRA. The author names three base files and a workflow. - ComfyUI with the BAE Normal Map node the workflow uses - MOSS-Image-SFT: the UNet moss\_image\_sft\_int8\_convrot.safetensors - A Qwen3.5 text encoder file for MOSS-Image, with the moss\_image type chosen when you load it - The VAE flux2-vae\_small.safetensors 1. Install the Hugging Face hub package. 2. Download this repository's files, which hold the LoRA and the workflow. 3. Load the MOSS-Image-SFT UNet, text encoder and VAE. 4. Apply this LoRA to the UNet with a strength of 1.0. ```sh pip install -U huggingface_hub hf download thedeoxen/MOSS-Image-normal-controlnet ``` ### How to use it Make a colour normal map from your photo, then hand it to the Text Encode MOSS-Image Edit node as the only reference image. On the positive and the negative encode alike, switch the edit format to ai-toolkit. Sample with 30 steps, CFG 4, and euler with simple. There is no trigger word. | Tool | What it does | | --- | --- | | BAE Normal Map node | Builds the colour normal map the LoRA expects | | Text Encode MOSS-Image Edit | Takes the control image and your prompt | | LoRA loader | Applies this LoRA at strength 1.0 | | Included workflow | Loads a photo, builds the map, encodes, and samples | ### Example You load a photo of a solid object, build its normal map and write a prompt for the same form in brushed metal on a studio table. The result keeps the volume and facing from the map, while the prompt supplies the material and the scene. ### For newcomers and experts A normal map is a colour picture that records which way each part of a surface faces. A good first step is to run the included workflow on one photo with the default settings, then change only the prompt. Its adapter weights use rank 64 for the linear layers and rank 16 for the convolutions. It learned as an edit adapter. The control picture serves as the starting reference, and the text describes the image you want out. It was trained with the kv cache on, which is why the edit format is ai-toolkit. Feed a camera-space normal map, never a grayscale height map. If the control feels too rigid, lower the strength toward 0.7. You load a photo into the workflow → The BAE Normal Map node builds a colour map → The map and your prompt go to the encode node → MOSS-Image-SFT with the LoRA samples the new image ### Good to know - License: apache-2.0, as listed on Hugging Face - Cost to run: none named - Data it reaches: the images and prompts you load into ComfyUI, and the source names no web or account access - Smooth normals give cleaner volumes, while noisy ones add unwanted bumps - Not for: other base models, since it was trained on and is recommended with MOSS-Image-SFT - It is not the official MOSS colour or depth adapter ## README ````markdown # MOSS-Image Normal Control LoRA Keeps an object's shape and volume from a colour normal map while the prompt changes its material and scene, as a normal control LoRA for MOSS-Image-SFT in ComfyUI, for people who retexture and relight forms. Made by thedeoxen on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This is a normal-map control LoRA for the MOSS-Image-SFT image model. You give it a colour normal map, and it follows the surface direction and volume while your prompt sets the material and the scene. It is an edit-style LoRA, not the official MOSS colour or depth adapter. The author picked the checkpoint from training step 5000. Who it suits: People who retexture or relight a fixed form in ComfyUI will find it fits. It also suits product and 3D artists who already have normal maps and want the volume to stay put. ```table Industry | Who uses it | How they use it | Example 3D art | 3D artists | Change a form's material while its volume stays fixed | The same form in a new material Product imagery | Marketers | Show a product shape in new materials and scenes | The same product volume in a new setting Visual effects | Compositors | Relight and retexture a solid form | A form lit in a different scene Research | Image-model tinkerers | Test normal-map control on MOSS-Image-SFT | Comparing smooth and noisy normals ``` If you do not use ComfyUI or MOSS-Image-SFT, you can skip it, since it is trained for that base model. Where to use it: - ComfyUI, with the workflow file included in the repository - ComfyUI's stock node for encoding MOSS edit prompts - Windows, macOS or Linux with Python, to download the files ```table Use case | Who | What they get back Retexture a form | 3D artists | A new surface material on the same volume Product shots | Marketers | Pictures where the object volume is fixed Relight a scene | Compositors | Depth and surface facing that stay consistent ``` How to set it up: You need ComfyUI, the MOSS-Image-SFT files and this LoRA. The author names three base files and a workflow. - ComfyUI with the BAE Normal Map node the workflow uses - MOSS-Image-SFT: the UNet moss_image_sft_int8_convrot.safetensors - A Qwen3.5 text encoder file for MOSS-Image, with the moss_image type chosen when you load it - The VAE flux2-vae_small.safetensors 1. Install the Hugging Face hub package. 2. Download this repository's files, which hold the LoRA and the workflow. 3. Load the MOSS-Image-SFT UNet, text encoder and VAE. 4. Apply this LoRA to the UNet with a strength of 1.0. ```sh pip install -U huggingface_hub hf download thedeoxen/MOSS-Image-normal-controlnet ``` How to use it: Make a colour normal map from your photo, then hand it to the Text Encode MOSS-Image Edit node as the only reference image. On the positive and the negative encode alike, switch the edit format to ai-toolkit. Sample with 30 steps, CFG 4, and euler with simple. There is no trigger word. ```table Tool | What it does BAE Normal Map node | Builds the colour normal map the LoRA expects Text Encode MOSS-Image Edit | Takes the control image and your prompt LoRA loader | Applies this LoRA at strength 1.0 Included workflow | Loads a photo, builds the map, encodes, and samples ``` Example: You load a photo of a solid object, build its normal map and write a prompt for the same form in brushed metal on a studio table. The result keeps the volume and facing from the map, while the prompt supplies the material and the scene. For newcomers and experts: A normal map is a colour picture that records which way each part of a surface faces. A good first step is to run the included workflow on one photo with the default settings, then change only the prompt. Its adapter weights use rank 64 for the linear layers and rank 16 for the convolutions. It learned as an edit adapter. The control picture serves as the starting reference, and the text describes the image you want out. It was trained with the kv cache on, which is why the edit format is ai-toolkit. Feed a camera-space normal map, never a grayscale height map. If the control feels too rigid, lower the strength toward 0.7. ```flow You load a photo into the workflow The BAE Normal Map node builds a colour map The map and your prompt go to the encode node MOSS-Image-SFT with the LoRA samples the new image ``` Good to know: - License: apache-2.0, as listed on Hugging Face - Cost to run: none named - Data it reaches: the images and prompts you load into ComfyUI, and the source names no web or account access - Smooth normals give cleaner volumes, while noisy ones add unwanted bumps - Not for: other base models, since it was trained on and is recommended with MOSS-Image-SFT - It is not the official MOSS colour or depth adapter ## On Hugging Face, 13 November 2026 - Task: image to image - Library: diffusers - Downloads in the last 30 days: 1,014 - Likes: 4 - License: apache-2.0 - Languages: en - Based on: OpenMOSS-Team/MOSS-Image-SFT - Tags: diffusers, moss-image, controlnet, lora, comfyui, normal, image-to-image ## Links - Model: https://huggingface.co/thedeoxen/MOSS-Image-normal-controlnet - Files: https://huggingface.co/thedeoxen/MOSS-Image-normal-controlnet/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download thedeoxen/MOSS-Image-normal-controlnet ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [thedeoxen/MOSS-Image-normal-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-normal-controlnet) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | License | Last change | | --- | --- | --- | --- | --- | | MOSS-Image Normal Control LoRA (this page) | 1,014 | 4 | apache-2.0 | 2026-11-10 | | [MOSS-Image Lineart Control LoRA](https://mindket.com/p/5239c2ba-2f3c-4982-bd3c-5865f08a7763) | 1,548 | 3 | apache-2.0 | 2026-11-10 | | [MOSS-Image Canny Control LoRA](https://mindket.com/p/ba3f79ee-7d5f-4a2e-adaa-0045a5247424) | 458 | 3 | apache-2.0 | 2026-11-10 | | [MOSS-Image-SFT Segmentation Control LoRA](https://mindket.com/p/7bcfc9ce-60a2-42d3-816a-332d08bd367f) | 415 | 4 | apache-2.0 | 2026-11-10 | | [MOSS-Image Scribble Control LoRA](https://mindket.com/p/2dbea7aa-839c-414a-a6bd-f8e23faac5fc) | 377 | 3 | apache-2.0 | 2026-11-10 | | [Krea2 Turbo OpenPose ControlNet LoRA](https://mindket.com/p/cb5a01f0-290f-43be-ad6a-4190cae6ce3a) | 18,552 | 133 | apache-2.0 | 2026-08-19 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-10 - First published: 2026-11-10 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open thedeoxen/MOSS-Image-normal-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-normal-controlnet) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0f7e33c4-3f22-4056-8ffb-f44918d6765a) - [Its page on Mindket](https://mindket.com/p/0f7e33c4-3f22-4056-8ffb-f44918d6765a)