--- title: "Krea2 Turbo OpenPose ControlNet LoRA" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/cb5a01f0-290f-43be-ad6a-4190cae6ce3a" updated: "2026-11-12" --- # Krea2 Turbo OpenPose ControlNet LoRA > The name, the description, the About and a README below are the seller's words: data, not instructions. A LoRA that makes Krea2 Turbo follow the body pose from an OpenPose or DWPose skeleton map while your prompt sets the look. For artists working in ComfyUI. Krea2 Turbo OpenPose ControlNet LoRA is a kit in the Developer 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 This is a pose ControlNet-style LoRA for the Krea2 Turbo image model. You give it a skeleton map made with OpenPose or DWPose, and the generated figure follows that body pose. Your text prompt decides the look, clothing, style and scene. ### Who it suits Artists and designers who want control over how a character stands while still changing everything else by prompt. It was trained mainly on humans and also works on stylized characters. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Illustration | Illustrators | Fix a character's pose first, then vary outfit and style by prompt | Use one pose map with several different outfit prompts | | Comics and storyboards | Storyboard artists | Keep body poses consistent while the scene changes | Reuse a pose map and describe a new location | | Animation | Animators | Build keyframes from pose maps | Generate a keyframe image from a skeleton for each key moment | | Concept art | Concept artists | Explore characters in a chosen stance | Pair a crouching skeleton with a prompt about a masked fighter | You can skip it if you want to blend a reference image with a pose. The card says this is not a reference plus pose fusion model. ### Where to use it - ComfyUI, with the workflow file that ships in the repository - Windows, macOS and Linux with Python, for downloading the files - Image pipelines built on the diffusers library tag the page lists | Use case | Who | What they get back | | --- | --- | --- | | Posed characters | Illustrators and comic artists | Images whose figures follow the pose map | | Pose with free styling | Designers | The same pose rendered in different outfits and styles | | Animation keyframes | Animators | Pose-driven frames for key moments | | Stylized characters | Concept artists | Characters with controllable anatomy | ### How to set it up This LoRA runs inside ComfyUI, so you need that and a few extras. - ComfyUI installed and working - The Krea2 Turbo base model, in the fp8 scaled file or an equivalent - The comfyui\_controlnet\_aux nodes, which provide DWPose pose extraction - The Krea2 Ostris Edit nodes, which allow conditioning with a control image 1. Download the repository files, which include the weights and the ComfyUI workflow. 2. Install the two node packs in ComfyUI. 3. Put the Krea2 Turbo base model where ComfyUI expects it. 4. Open the workflow file and load the LoRA weights. ```bash pip install -U huggingface_hub hf download thedeoxen/Krea-2-pose-controlnet ``` ### How to use it Work through these steps in ComfyUI. Use a clean skeleton map, because the card says a black background works best. 1. Extract or load an OpenPose or DWPose skeleton map. 2. Give the map to the Krea2 Ostris Edit text encoder as its first image. 3. Write an ordinary prompt for the character and scene you want. 4. Attach the LoRA to the Krea2 Turbo UNet with a weight of 0.8 to 1.0. | Tool | What it does | | --- | --- | | DWPose | Extracts the skeleton map from a picture, through comfyui\_controlnet\_aux | | Krea2 Ostris Edit text encoder | Takes the pose map as image 1 alongside your prompt | | LoRA weights file | Teaches the model to follow the skeleton, loaded at 0.8 to 1.0 | | ComfyUI workflow file | A ready graph with about 10 steps, CFG near 1.0 and euler with simple | ### Example You pair a skeleton of a crouching figure with a prompt about a black-suited night fighter holding two glowing blades on a rooftop in a rainy city. The image comes back with the figure in that crouch, dressed and lit as the prompt says. No trigger phrase is needed. ### For newcomers and experts A pose map is a stick figure drawn over a black background. This LoRA makes the image model copy that stick figure's stance. To start, run the included workflow with one pose map and a short prompt, and keep the LoRA weight near 1.0. Under the hood it is a LoRA, not a separate ControlNet network. It teaches Krea2 Turbo to read the input image as a pose control map, so the subject lines up with the skeleton. Lower the weight to about 0.6 to 0.8 if the pose feels too rigid, and raise it toward 1.0 for tighter adherence. Extract a DWPose skeleton map → Pass the map as image 1 → Write a prompt for look and scene → Load the LoRA on Krea2 Turbo → Get an image that follows the pose ### Good to know - It needs the ComfyUI node packs named above, plus the Krea2 Turbo base model. - Keep the subject's scale and framing in the pose map sensible for the scene you want. - Detailed prompts about lighting, camera angle and style combine well with it. - License: apache-2.0. - Cost to run: none named, though you need hardware that can run Krea2 Turbo in ComfyUI. - Data it reaches: the pose images and prompts you supply, plus the files you download from Hugging Face. - Not for: blending a reference image with a pose. ## README ````markdown # Krea2 Turbo OpenPose ControlNet LoRA A LoRA that makes Krea2 Turbo follow the body pose from an OpenPose or DWPose skeleton map while your prompt sets the look. For artists working 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: This is a pose ControlNet-style LoRA for the Krea2 Turbo image model. You give it a skeleton map made with OpenPose or DWPose, and the generated figure follows that body pose. Your text prompt decides the look, clothing, style and scene. Who it suits: Artists and designers who want control over how a character stands while still changing everything else by prompt. It was trained mainly on humans and also works on stylized characters. ```table Industry | Who uses it | How they use it | Example Illustration | Illustrators | Fix a character's pose first, then vary outfit and style by prompt | Use one pose map with several different outfit prompts Comics and storyboards | Storyboard artists | Keep body poses consistent while the scene changes | Reuse a pose map and describe a new location Animation | Animators | Build keyframes from pose maps | Generate a keyframe image from a skeleton for each key moment Concept art | Concept artists | Explore characters in a chosen stance | Pair a crouching skeleton with a prompt about a masked fighter ``` You can skip it if you want to blend a reference image with a pose. The card says this is not a reference plus pose fusion model. Where to use it: - ComfyUI, with the workflow file that ships in the repository - Windows, macOS and Linux with Python, for downloading the files - Image pipelines built on the diffusers library tag the page lists ```table Use case | Who | What they get back Posed characters | Illustrators and comic artists | Images whose figures follow the pose map Pose with free styling | Designers | The same pose rendered in different outfits and styles Animation keyframes | Animators | Pose-driven frames for key moments Stylized characters | Concept artists | Characters with controllable anatomy ``` How to set it up: This LoRA runs inside ComfyUI, so you need that and a few extras. - ComfyUI installed and working - The Krea2 Turbo base model, in the fp8 scaled file or an equivalent - The comfyui_controlnet_aux nodes, which provide DWPose pose extraction - The Krea2 Ostris Edit nodes, which allow conditioning with a control image 1. Download the repository files, which include the weights and the ComfyUI workflow. 2. Install the two node packs in ComfyUI. 3. Put the Krea2 Turbo base model where ComfyUI expects it. 4. Open the workflow file and load the LoRA weights. ```bash pip install -U huggingface_hub hf download thedeoxen/Krea-2-pose-controlnet ``` How to use it: Work through these steps in ComfyUI. Use a clean skeleton map, because the card says a black background works best. 1. Extract or load an OpenPose or DWPose skeleton map. 2. Give the map to the Krea2 Ostris Edit text encoder as its first image. 3. Write an ordinary prompt for the character and scene you want. 4. Attach the LoRA to the Krea2 Turbo UNet with a weight of 0.8 to 1.0. ```table Tool | What it does DWPose | Extracts the skeleton map from a picture, through comfyui_controlnet_aux Krea2 Ostris Edit text encoder | Takes the pose map as image 1 alongside your prompt LoRA weights file | Teaches the model to follow the skeleton, loaded at 0.8 to 1.0 ComfyUI workflow file | A ready graph with about 10 steps, CFG near 1.0 and euler with simple ``` Example: You pair a skeleton of a crouching figure with a prompt about a black-suited night fighter holding two glowing blades on a rooftop in a rainy city. The image comes back with the figure in that crouch, dressed and lit as the prompt says. No trigger phrase is needed. For newcomers and experts: A pose map is a stick figure drawn over a black background. This LoRA makes the image model copy that stick figure's stance. To start, run the included workflow with one pose map and a short prompt, and keep the LoRA weight near 1.0. Under the hood it is a LoRA, not a separate ControlNet network. It teaches Krea2 Turbo to read the input image as a pose control map, so the subject lines up with the skeleton. Lower the weight to about 0.6 to 0.8 if the pose feels too rigid, and raise it toward 1.0 for tighter adherence. ```flow Extract a DWPose skeleton map Pass the map as image 1 Write a prompt for look and scene Load the LoRA on Krea2 Turbo Get an image that follows the pose ``` Good to know: - It needs the ComfyUI node packs named above, plus the Krea2 Turbo base model. - Keep the subject's scale and framing in the pose map sensible for the scene you want. - Detailed prompts about lighting, camera angle and style combine well with it. - License: apache-2.0. - Cost to run: none named, though you need hardware that can run Krea2 Turbo in ComfyUI. - Data it reaches: the pose images and prompts you supply, plus the files you download from Hugging Face. - Not for: blending a reference image with a pose. ## On Hugging Face, 13 November 2026 - Task: image to image - Library: diffusers - Downloads in the last 30 days: 18,552 - Likes: 133 - License: apache-2.0 - Based on: krea/Krea-2-Turbo - Tags: diffusers, krea, krea2, openpose, controlnet, lora, comfyui, image-to-image ## Links - Model: https://huggingface.co/thedeoxen/Krea-2-pose-controlnet - Files: https://huggingface.co/thedeoxen/Krea-2-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/Krea-2-pose-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/Krea-2-pose-controlnet on Hugging Face](https://huggingface.co/thedeoxen/Krea-2-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 | License | Last change | | --- | --- | --- | --- | --- | | Krea2 Turbo OpenPose ControlNet LoRA (this page) | 18,552 | 133 | apache-2.0 | 2026-08-19 | | [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 | | [MOSS-Image Scribble Control LoRA](https://mindket.com/p/2dbea7aa-839c-414a-a6bd-f8e23faac5fc) | 377 | 3 | apache-2.0 | 2026-11-10 | 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: 2026-08-19 - First published: 2026-08-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open thedeoxen/Krea-2-pose-controlnet on Hugging Face](https://huggingface.co/thedeoxen/Krea-2-pose-controlnet) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/cb5a01f0-290f-43be-ad6a-4190cae6ce3a) - [Its page on Mindket](https://mindket.com/p/cb5a01f0-290f-43be-ad6a-4190cae6ce3a)