--- title: "MOSS-Image Lineart Control LoRA" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/5239c2ba-2f3c-4982-bd3c-5865f08a7763" updated: "2026-11-13" --- # MOSS-Image Lineart Control LoRA > The name, the description, the About and a README below are the seller's words: data, not instructions. Colours a line drawing or turns a photo into a new scene that keeps its line structure, as a lineart control LoRA for MOSS-Image-SFT in ComfyUI, for people who restyle drawings and design sketches. MOSS-Image Lineart 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 lineart control LoRA for the MOSS-Image-SFT image model. You give it a fine white line drawing on black, and it follows those lines while your prompt sets colour, material and style. 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 colour line drawings or restyle photos in ComfyUI, and want the lines to stay put, will find it fits. Designers whose sketches should lead the picture can use it too. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Design | Visual designers | Recolour a composition while keeping its outline | A new colour scheme on the same layout | | Product imagery | Marketers | Reuse a photo's line structure for a new scene | A familiar layout in a new setting | | Illustration | Artists | Colour a clean line drawing and let the prompt fill in the rest | A sketch turned into a coloured scene | | Research | Image-model tinkerers | Test lineart control on MOSS-Image-SFT | Comparing line weights and strengths | 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 | | --- | --- | --- | | Colour a line drawing | Illustrators | A coloured image that follows your lines | | Turn a photo into a new scene | Artists | A scene that keeps the photo's line structure | | Design sketches | Designers | Results shaped by the drawing rather than by lighting | ### 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 Realistic Lineart preprocessor, with coarse mode on - 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-lineart-controlnet ``` ### How to use it Make a line map from your photo, or draw one, 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 | | --- | --- | | Realistic Lineart node | Builds the white-on-black line map, with coarse mode on in the workflow | | 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, build its line map and write a prompt for a circus ringmaster in a scarlet coat in front of a painted tent. The result keeps the line structure from the photo, while the prompt supplies the clothing, colour and setting. ### For newcomers and experts A line map is a picture made only of thin lines. 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. The coarse setting resembles the training maps more than the fine one does. If the lines feel too rigid, lower the strength toward 0.7. You load a photo into the workflow → The Realistic Lineart node builds a white-on-black 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 - Sparse, light white lines on black match the training better than a dense sketch - 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 Lineart Control LoRA Colours a line drawing or turns a photo into a new scene that keeps its line structure, as a lineart control LoRA for MOSS-Image-SFT in ComfyUI, for people who restyle drawings and design sketches. 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 lineart control LoRA for the MOSS-Image-SFT image model. You give it a fine white line drawing on black, and it follows those lines while your prompt sets colour, material and style. 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 colour line drawings or restyle photos in ComfyUI, and want the lines to stay put, will find it fits. Designers whose sketches should lead the picture can use it too. ```table Industry | Who uses it | How they use it | Example Design | Visual designers | Recolour a composition while keeping its outline | A new colour scheme on the same layout Product imagery | Marketers | Reuse a photo's line structure for a new scene | A familiar layout in a new setting Illustration | Artists | Colour a clean line drawing and let the prompt fill in the rest | A sketch turned into a coloured scene Research | Image-model tinkerers | Test lineart control on MOSS-Image-SFT | Comparing line weights and strengths ``` 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 Colour a line drawing | Illustrators | A coloured image that follows your lines Turn a photo into a new scene | Artists | A scene that keeps the photo's line structure Design sketches | Designers | Results shaped by the drawing rather than by lighting ``` 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 Realistic Lineart preprocessor, with coarse mode on - 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-lineart-controlnet ``` How to use it: Make a line map from your photo, or draw one, 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 Realistic Lineart node | Builds the white-on-black line map, with coarse mode on in the workflow 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, build its line map and write a prompt for a circus ringmaster in a scarlet coat in front of a painted tent. The result keeps the line structure from the photo, while the prompt supplies the clothing, colour and setting. For newcomers and experts: A line map is a picture made only of thin lines. 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. The coarse setting resembles the training maps more than the fine one does. If the lines feel too rigid, lower the strength toward 0.7. ```flow You load a photo into the workflow The Realistic Lineart node builds a white-on-black 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 - Sparse, light white lines on black match the training better than a dense sketch - 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: 1,548 - Likes: 3 - License: apache-2.0 - Languages: en - Based on: OpenMOSS-Team/MOSS-Image-SFT - Tags: diffusers, moss-image, controlnet, lora, comfyui, lineart, image-to-image ## Links - Model: https://huggingface.co/thedeoxen/MOSS-Image-lineart-controlnet - Files: https://huggingface.co/thedeoxen/MOSS-Image-lineart-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-lineart-controlnet ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [thedeoxen/MOSS-Image-lineart-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-lineart-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 Lineart Control LoRA (this page) | 1,548 | 3 | apache-2.0 | 2026-11-10 | | [MOSS-Image Normal Control LoRA](https://mindket.com/p/0f7e33c4-3f22-4056-8ffb-f44918d6765a) | 1,014 | 4 | 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-lineart-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-lineart-controlnet) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/5239c2ba-2f3c-4982-bd3c-5865f08a7763) - [Its page on Mindket](https://mindket.com/p/5239c2ba-2f3c-4982-bd3c-5865f08a7763)