--- title: "MOSS-Image Scribble Control LoRA" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2dbea7aa-839c-414a-a6bd-f8e23faac5fc" updated: "2026-11-13" --- # MOSS-Image Scribble Control LoRA > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns loose white strokes on black into a finished image while the prompt sets texture and style, as a scribble control LoRA for MOSS-Image-SFT in ComfyUI, for people who start from rough drawings. MOSS-Image Scribble 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 scribble control LoRA for the MOSS-Image-SFT image model. You give it loose white strokes on a black ground, and it keeps to your rough drawing while the prompt supplies the look. 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 sketch a composition by hand and want a finished image from it will find it fits. Designers who plan a scene with only broad shapes can use it too. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Illustration | Artists | Draw a few strokes and let the prompt fill in the rest | A quick figure sketch turned into a styled portrait | | Film and storyboards | Storyboard artists | Turn rough panels into finished frames | A three-stroke street scene rendered as a still | | Design | Art directors | Test layouts before committing to detail | Several looks tried on one composition | | Research | Image-model tinkerers | Test scribble control on MOSS-Image-SFT | Comparing strengths and stroke styles | 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 | | --- | --- | --- | | Draw a composition | Artists | A finished image that keeps your layout | | Storyboard to frame | Storyboard artists | A styled still made from rough strokes | | Quick layout test | Art directors | Several looks on the same shapes | ### 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 soft-edge node that the included 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-scribble-controlnet ``` ### How to use it Draw white strokes on black, or build a map from a 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 | | --- | --- | | Soft-edge node | Builds the white-stroke map from a photo, with safe 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 draw a few loose white strokes for a standing figure on a black ground. You write a prompt for a circus ringmaster in a scarlet coat in front of a painted tent. The result keeps the pose and layout, while the prompt supplies the clothing, colour and setting. ### For newcomers and experts A scribble map is a handful of loose white lines on a black picture. 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 training strokes were thicker and softer than Canny or lineart lines, so soft-edge maps match them better than a thin sketch map. If the control feels too rigid, lower the strength toward 0.7. You draw strokes or load a photo into the workflow → The soft-edge 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, bold strokes on a black ground suit it better than a busy map - 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 Scribble Control LoRA Turns loose white strokes on black into a finished image while the prompt sets texture and style, as a scribble control LoRA for MOSS-Image-SFT in ComfyUI, for people who start from rough drawings. 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 scribble control LoRA for the MOSS-Image-SFT image model. You give it loose white strokes on a black ground, and it keeps to your rough drawing while the prompt supplies the look. 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 sketch a composition by hand and want a finished image from it will find it fits. Designers who plan a scene with only broad shapes can use it too. ```table Industry | Who uses it | How they use it | Example Illustration | Artists | Draw a few strokes and let the prompt fill in the rest | A quick figure sketch turned into a styled portrait Film and storyboards | Storyboard artists | Turn rough panels into finished frames | A three-stroke street scene rendered as a still Design | Art directors | Test layouts before committing to detail | Several looks tried on one composition Research | Image-model tinkerers | Test scribble control on MOSS-Image-SFT | Comparing strengths and stroke styles ``` 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 Draw a composition | Artists | A finished image that keeps your layout Storyboard to frame | Storyboard artists | A styled still made from rough strokes Quick layout test | Art directors | Several looks on the same shapes ``` 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 soft-edge node that the included 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-scribble-controlnet ``` How to use it: Draw white strokes on black, or build a map from a 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 Soft-edge node | Builds the white-stroke map from a photo, with safe 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 draw a few loose white strokes for a standing figure on a black ground. You write a prompt for a circus ringmaster in a scarlet coat in front of a painted tent. The result keeps the pose and layout, while the prompt supplies the clothing, colour and setting. For newcomers and experts: A scribble map is a handful of loose white lines on a black picture. 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 training strokes were thicker and softer than Canny or lineart lines, so soft-edge maps match them better than a thin sketch map. If the control feels too rigid, lower the strength toward 0.7. ```flow You draw strokes or load a photo into the workflow The soft-edge 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, bold strokes on a black ground suit it better than a busy map - 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: 377 - Likes: 3 - License: apache-2.0 - Languages: en - Based on: OpenMOSS-Team/MOSS-Image-SFT - Tags: diffusers, moss-image, controlnet, lora, comfyui, scribble, image-to-image ## Links - Model: https://huggingface.co/thedeoxen/MOSS-Image-scribble-controlnet - Files: https://huggingface.co/thedeoxen/MOSS-Image-scribble-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-scribble-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-scribble-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-scribble-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 Scribble Control LoRA (this page) | 377 | 3 | 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 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 | | [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-scribble-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-scribble-controlnet) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2dbea7aa-839c-414a-a6bd-f8e23faac5fc) - [Its page on Mindket](https://mindket.com/p/2dbea7aa-839c-414a-a6bd-f8e23faac5fc)