--- title: "MOSS-Image-pose-controlnet" kind: "Kit" category: "Marketing & SEO" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/4c36ec7c-fcdf-4beb-9701-37695a516b30" updated: "2026-11-12" --- # MOSS-Image-pose-controlnet > The name, the description, the About and a README below are the seller's words: data, not instructions. Makes images follow a body pose by taking a DWPose skeleton as a control image, as a LoRA for MOSS-Image-SFT. Suits artists and animators who want to pose characters in ComfyUI. MOSS-Image-pose-controlnet is a kit in the Marketing \& SEO category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by thedeoxen ## About ### What it is A LoRA that adds OpenPose-style pose control to the MOSS-Image-SFT model. You give it a black image with a DWPose skeleton drawn on it. The picture copies that body pose, and your prompt decides who is in it, what they wear and where they stand. It is an edit-style LoRA, not the official MOSS color or depth adapter. ### Who it suits Artists, animators and storyboard makers who work in ComfyUI with MOSS-Image-SFT and want control over body pose. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Illustration | Character artists | Pose a character while changing outfit and style | A full-body anime character in a fighting stance | | Photography | Photo editors | Turn the pose of a photo into another person | Reuse a pose with a new face and clothing | | Animation | Storyboard artists | Keep the body matched across keyframes | A set of frames sharing one pose | If you do not use MOSS-Image-SFT, you can skip it. ### Where to use it - ComfyUI, using the workflow file in the repo - Windows, macOS or Linux, wherever ComfyUI runs - The DWPose extractor from the comfyui\_controlnet\_aux nodes | Use case | Who | What they get back | | --- | --- | --- | | Pose a character | Illustrators | A new character drawn in the pose you supply | | Copy a photo's pose | Editors | A different person in the same stance | | Storyboards | Animators | Keyframes where the body has to match | ### How to set it up - ComfyUI with the MOSS-Image-SFT model files loaded - The comfyui\_controlnet\_aux nodes, for DWPose - The UNet, text encoder and VAE files the card names 1. Download the repo files, which include the LoRA weights and a ComfyUI workflow. 2. Load the UNet, the text encoder with the moss\_image type, and the VAE. 3. Attach the LoRA to the UNet with its strength at 1.0. ```sh pip install -U huggingface_hub hf download thedeoxen/MOSS-Image-pose-controlnet ``` ### How to use it Make a control map from a photo and hand it to the Text Encode MOSS-Image Edit node as the one reference image. Choose ai-toolkit as the edit format for both the positive and the negative encodes. Run 30 sampling steps at CFG 4, with euler and simple. No trigger word is needed. ```text Full-body anime illustration of a cyber idol with short white hair and a magenta visor. Upright fighting stance, one arm straight above the head, the other arm extended to the side, one knee lifted to the hip, the standing leg straight. Glass coat, rainy megacity, whole body in frame. ``` | Tool | What it does | | --- | --- | | DWPose | Extracts the skeleton from a photo, with body, hands and face on | | Text Encode MOSS-Image Edit | Takes the control image and your prompt | | LoRA strength | Set to 1.0, the trained value, or lower toward 0.7 if the pose feels too rigid | ### Example You supply a skeleton in a fighting pose and ask for a futuristic anime singer with white hair, in a glass coat on a rainy street. The result is a full-body picture of that character holding the pose from the skeleton. ### For newcomers and experts If you are new, start with the included workflow. It loads a photo, builds the skeleton, encodes it with your prompt and samples. Describe the character and the world, and let the skeleton carry the pose. Its adapter ranks are 64 for linear layers and 16 for convolutions. Training treated the task as image editing: the skeleton serves as the reference image and the text describes the output. Training also ran with kv cache on, which is why the edit format must be ai-toolkit. The selected checkpoint is training step 4500. Load a photo → DWPose builds the skeleton on black → Skeleton and prompt go to the edit encoder → The sampler draws the new picture ### Good to know - Use a black background, colored bones, and include the face and hands - Draw every limb in the skeleton, since a prompt does not reliably supply a missing joint - Your prompt does not need to repeat every joint - License: Apache 2.0 - Cost to run: none named - Data it reaches: the control image, your prompt and the files downloaded from Hugging Face - Not for: replacing the official MOSS color or depth adapter ## README ````markdown # MOSS-Image-pose-controlnet Makes images follow a body pose by taking a DWPose skeleton as a control image, as a LoRA for MOSS-Image-SFT. Suits artists and animators who want to pose characters in ComfyUI. 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: A LoRA that adds OpenPose-style pose control to the MOSS-Image-SFT model. You give it a black image with a DWPose skeleton drawn on it. The picture copies that body pose, and your prompt decides who is in it, what they wear and where they stand. It is an edit-style LoRA, not the official MOSS color or depth adapter. Who it suits: Artists, animators and storyboard makers who work in ComfyUI with MOSS-Image-SFT and want control over body pose. ```table Industry | Who uses it | How they use it | Example Illustration | Character artists | Pose a character while changing outfit and style | A full-body anime character in a fighting stance Photography | Photo editors | Turn the pose of a photo into another person | Reuse a pose with a new face and clothing Animation | Storyboard artists | Keep the body matched across keyframes | A set of frames sharing one pose ``` If you do not use MOSS-Image-SFT, you can skip it. Where to use it: - ComfyUI, using the workflow file in the repo - Windows, macOS or Linux, wherever ComfyUI runs - The DWPose extractor from the comfyui_controlnet_aux nodes ```table Use case | Who | What they get back Pose a character | Illustrators | A new character drawn in the pose you supply Copy a photo's pose | Editors | A different person in the same stance Storyboards | Animators | Keyframes where the body has to match ``` How to set it up: - ComfyUI with the MOSS-Image-SFT model files loaded - The comfyui_controlnet_aux nodes, for DWPose - The UNet, text encoder and VAE files the card names 1. Download the repo files, which include the LoRA weights and a ComfyUI workflow. 2. Load the UNet, the text encoder with the moss_image type, and the VAE. 3. Attach the LoRA to the UNet with its strength at 1.0. ```sh pip install -U huggingface_hub hf download thedeoxen/MOSS-Image-pose-controlnet ``` How to use it: Make a control map from a photo and hand it to the Text Encode MOSS-Image Edit node as the one reference image. Choose ai-toolkit as the edit format for both the positive and the negative encodes. Run 30 sampling steps at CFG 4, with euler and simple. No trigger word is needed. ```text Full-body anime illustration of a cyber idol with short white hair and a magenta visor. Upright fighting stance, one arm straight above the head, the other arm extended to the side, one knee lifted to the hip, the standing leg straight. Glass coat, rainy megacity, whole body in frame. ``` ```table Tool | What it does DWPose | Extracts the skeleton from a photo, with body, hands and face on Text Encode MOSS-Image Edit | Takes the control image and your prompt LoRA strength | Set to 1.0, the trained value, or lower toward 0.7 if the pose feels too rigid ``` Example: You supply a skeleton in a fighting pose and ask for a futuristic anime singer with white hair, in a glass coat on a rainy street. The result is a full-body picture of that character holding the pose from the skeleton. For newcomers and experts: If you are new, start with the included workflow. It loads a photo, builds the skeleton, encodes it with your prompt and samples. Describe the character and the world, and let the skeleton carry the pose. Its adapter ranks are 64 for linear layers and 16 for convolutions. Training treated the task as image editing: the skeleton serves as the reference image and the text describes the output. Training also ran with kv cache on, which is why the edit format must be ai-toolkit. The selected checkpoint is training step 4500. ```flow Load a photo DWPose builds the skeleton on black Skeleton and prompt go to the edit encoder The sampler draws the new picture ``` Good to know: - Use a black background, colored bones, and include the face and hands - Draw every limb in the skeleton, since a prompt does not reliably supply a missing joint - Your prompt does not need to repeat every joint - License: Apache 2.0 - Cost to run: none named - Data it reaches: the control image, your prompt and the files downloaded from Hugging Face - Not for: replacing the official MOSS color or depth adapter ## On Hugging Face, 13 November 2026 - Task: image to image - Library: diffusers - Downloads in the last 30 days: 813 - Likes: 17 - License: apache-2.0 - Languages: en - Based on: OpenMOSS-Team/MOSS-Image-SFT - Tags: diffusers, moss-image, controlnet, lora, comfyui, pose, image-to-image ## Links - Model: https://huggingface.co/thedeoxen/MOSS-Image-pose-controlnet - Files: https://huggingface.co/thedeoxen/MOSS-Image-pose-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-pose-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-pose-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-pose-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 | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | MOSS-Image-pose-controlnet (this page) | 813 | 17 | — | apache-2.0 | 2026-11-10 | | [BFS: Best Face Swap](https://mindket.com/p/abeacf70-0d27-49de-983d-fb904e66d97e) | 218,283 | 1,561 | — | mit | 2026-11-04 | | [Moss Image Beauty LoRA](https://mindket.com/p/81ce2bea-25df-4fbf-acc8-7b238e6cf4c8) | 5,546 | 22 | — | apache-2.0 | 2026-10-26 | | [Flux.2-Klein-9B-MatchingPose](https://mindket.com/p/8b5a392d-3698-43d5-a20b-04f012e841de) | 3,319 | 49 | — | apache-2.0 | 2026-06-01 | | [Qwen-image-2.1\_loras](https://mindket.com/p/826d357f-2b40-4eec-8f90-e559c578beed) | 0 | 17 | — | apache-2.0 | 2026-10-31 | | [MOSS-Image-SFT-GGUF](https://mindket.com/p/23976aeb-2fe8-48dc-a5b5-a0088c187f17) | 161,886 | 23 | 5.1B | apache-2.0 | 2026-11-11 | 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: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open thedeoxen/MOSS-Image-pose-controlnet on Hugging Face](https://huggingface.co/thedeoxen/MOSS-Image-pose-controlnet) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/4c36ec7c-fcdf-4beb-9701-37695a516b30) - [Its page on Mindket](https://mindket.com/p/4c36ec7c-fcdf-4beb-9701-37695a516b30)