LanPaint

LanPaint: Universal Inpainting Sampler with "Think Mode"

Universally applicable inpainting ability for every model. LanPaint sampler lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.

What LanPaint Enables

• Training-free image inpainting
• Outpainting and generative fill
• Mask-constrained local image editing
• Object / region replacement with text guidance
• Character-consistent local generation
• Video inpainting and local video editing
• Video + audio masked generation

Research & Benchmark

LanPaint is a training-free partial conditional sampler that enables mask-constrained inpainting and local editing with pretrained diffusion and rectified-flow models, without fine-tuning or backpropagation.

• 📄 Paper: LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling — TMLR 2025
• 🧩 ComfyUI Implementation: This repository
• 🐍 Diffusers Implementation: LanPaint-Diffusers by @charrywhite
• 🧪 Benchmark & Reproduction: LanPaintBench
• 🌐 Project Website: LanPaint Page

Citation

@article{
zheng2025lanpaint,
title={LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling},
author={Candi Zheng and Yuan Lan and Yang Wang},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2025},
url={https://openreview.net/forum?id=JPC8JyOUSW}
}

🎉 NEW 2026: Join our discord!

Join our Discord to share experiences, discuss features, and explore future development.

v2.1.0 significantly accelerates LanPaint with a new schedule mechanism and fixes MiniMax H3 support on the latest ComfyUI. If your inpainting results have wierd (glowing / broken) mask boundary, check this issue.

🎨 NEW: LanPaint now supports Qwen-Image 2.1 - transparency, and masked image editing!

Qwen 2.1's image edit model now works under a LanPaint mask: tell it what to change, paint over the part you want it to touch, and only that part changes. Hand it a second picture to borrow from if you want one. Check our latest Qwen Image 2.1 Image Edit Example.

And if your picture carries transparency, it gets inpainted too - the rebuilt part comes back with a new outline, not just new colours. Check our latest Qwen Image 2.1 Example.

🎬 NEW: LanPaint now supports MiniMax H3 video + audio inpainting!

Masked Input (paint in the editor)	Mask (visible overlay)	Inpainted Result

Check our latest MiniMax H3 Example: paint per-frame video masks and audio intervals in one editor, inpaint video + audio in a single pass, and export the masks into the video file itself.

🎬 NEW: LanPaint now supports inpainting and outpainting based on Z-Image!

Original	Masked	Inpainted

🎬 NEW: LanPaint now supports Z-Image-Base too!

Original	Masked	Inpainted

🎬 NEW: LanPaint now supports video inpainting and outpainting based on Wan 2.2!

Original Video	Mask (edit T-shirt text)	Inpainted Result

Video Inpainting Example: 81 frames with temporal consistency

🎬 NEW: LanPaint now supports Anima!

Original	Masked	Inpainted

🎬 NEW: LanPaint now supports Ideogram4!

Original	Masked	Inpainted

🎬 NEW: LanPaint now supports Krea2!

Original	Masked	Inpainted

Check our latest Krea2 Example, Ideogram4 Example, Anima Example, Wan 2.2 Video Examples, Wan 2.2 Image Examples, and Qwen Image Edit 2509 support.

Table of Contents

• Features
• Quickstart
• How to Use Examples
• Video Examples
  • Wan 2.2 Video Inpainting
  • Wan 2.2 5B Video Inpainting
  • Wan 2.2 Video Outpainting
  • MiniMax H3 Video + Audio Inpainting
  • Resource Consumption
• Image Examples
  • Flux.2.Dev
  • Flux 2 klein
  • Z-image
  • Z-image-base
  • Ideogram4
  • Krea2
  • Anima
  • Hunyuan T2I
  • Wan 2.2 T2I
  • Wan 2.2 T2I with reference
  • Qwen Image Edit 2511 2509
  • Qwen Image Edit 2508
  • Qwen Image 2.1 Image Edit
  • Qwen Image 2.1
  • Qwen Image
  • HiDream
  • SD 3.5
  • Flux
  • SDXL
• Usage
  • Basic Sampler
  • Advanced Sampler
  • Tuning Guide
• Community Showcase
• FAQ
• Updates
• ToDo
• Citation

Features

• Universal Compatibility – Works instantly with almost any model (Ideogram4, Krea2, Z-image, Z-image-base, Hunyuan, Wan 2.2, Qwen Image 2.1/Image/Edit, Anima, HiDream, SD 3.5, Flux-series, SDXL, SD 1.5 or custom LoRAs) and ControlNet.
  
• No Training Needed – Works out of the box with your existing model.
• Easy to Use – Same workflow as standard ComfyUI KSampler.
• Flexible Masking – Supports any mask shape, size, or position for inpainting/outpainting.
• No Workarounds – Generates 100% new content (no blending or smoothing) without relying on partial denoising.
• Beyond Inpainting – You can even use it as a simple way to generate consistent characters.
• Video Mask Editor – Paint per-frame inpainting masks directly on a video inside ComfyUI (LanPaint_VideoMaskEditor): pick the video file, open the editor, paint masks on keyframes, and the masks in between are interpolated automatically with a live preview. Mask = 1 regenerates, 0 keeps.
• MiniMax H3 Video + Audio Inpainting – Inpaint video and audio in one pass: paint per-frame video masks and audio intervals in the same editor, encode both streams into one nested latent (LanPaint_AVEncode), sample, then LanPaint_AVDecode merges the inpainted video/audio back into the original with a mask-blended boundary, preserving the source fps and bit depth.
• Masks Live in the Video – The editor can export the painted masks into the video file itself (mp4 metadata, via a new "masked" copy - the original is never modified). Share that single mp4 and the recipient gets the masks back automatically when they load it.

Warning: LanPaint has degraded performance on distillation models, such as Flux.dev, due to a similar issue with LORA training. Please use low flux guidance (1.0-2.0) to mitigate this issue.

Quickstart

1. Install ComfyUI: Follow the official ComfyUI installation guide to set up ComfyUI on your system. Or ensure your ComfyUI version > 0.3.11.
2. Install ComfyUI-Manager: Add the ComfyUI-Manager for easy extension management.
3. Install LanPaint Nodes:
   • Via ComfyUI-Manager: Search for "LanPaint" in the manager and install it directly.
   • Manually: Click "Install via Git URL" in ComfyUI-Manager and input the GitHub repository link:

     https://github.com/scraed/LanPaint.git
     

     Alternatively, clone this repository into the ComfyUI/custom_nodes folder.
4. Restart ComfyUI: Restart ComfyUI to load the LanPaint nodes.

Once installed, you'll find the LanPaint nodes under the "sampling" category in ComfyUI. Use them just like the default KSampler for high-quality inpainting!

How to Use Examples:

1. Navigate to the example folder (i.e example_1), download all pictures.
2. Drag InPainted_Drag_Me_to_ComfyUI.png into ComfyUI to load the workflow.
3. Download the required model (i.e clicking Model Used in This Example).
4. Load the model in ComfyUI.
5. Upload Masked_Load_Me_in_Loader.png to the "Load image" node in the "Mask image for inpainting" group (second from left), or the Prepare Image node.
6. Queue the task, you will get inpainted results from LanPaint. Some example also gives you inpainted results from the following methods for comparison:
   • VAE Encode for Inpainting
   • Set Latent Noise Mask

Video Examples

LanPaint now supports video inpainting with Wan 2.2, enabling you to seamlessly inpaint masked regions across video frames while maintaining temporal consistency.

Note: LanPaint supports video inpainting for longer sequences (e.g., 81 frames), but processing time increases significantly (please check the Resource Consumption section for details) and performance may become unstable. For optimal results and stability, we recommend limiting video inpainting to 40 frames or fewer.

Wan 2.2 Video Inpainting

Example: Wan2.2 t2v 14B, 480p video (11:6), 40 frames, LanPaint K Sampler, 2 steps of thinking

Original Video	Mask (Add a white hat)	Inpainted Result

View Workflow & Masks

You need to follow the ComfyUI version of Wan2.2 T2V workflow to download and install the T2V model.

Wan 2.2 5B Video Inpainting

Similar to Wan 2.2 14B with slightly different workflow. View Workflow & Masks

Wan 2.2 Video Outpainting

Extend your videos beyond their original boundaries with LanPaint's video outpainting capability based on Wan 2.2. This feature allows you to expand the canvas of your videos while maintaining coherent motion and context.

Example: Wan2.2 t2v 14B, 480p video (1:1 outpaint to 11:6), 40 frames, LanPaint K Sampler, 2 steps of thinking

Original Video	Mask (Expand to 880x480)	Outpainted Result

View Workflow & Masks

You need to follow the ComfyUI version of Wan2.2 T2V workflow to download and install the T2V model.

MiniMax H3 Video + Audio Inpainting (AV pipeline)

LanPaint's AV pipeline inpaints video and audio together with the MiniMax H3 model. Paint both masks in one editor session, run a single sampler pass on the nested AV latent, and get back a merged video at the original fps and bit depth.

Example: MiniMax H3, 864x480, 124 frames, LanPaint Sampler Custom (Advanced)

Masked Input (paint in the editor)	Mask (visible overlay)	Inpainted Result

View Workflow & Masks · Workflow JSON

How it works:

1. LanPaint_VideoMaskEditor – pick the video, open the editor, paint per-frame video masks on keyframes (SDF-interpolated in between) and drag audio intervals on the waveform. Mask = 1 regenerates, 0 keeps.
2. LanPaint_AVEncode – encodes the video frames and the audio track into one nested latent with the masks attached.
3. Run the sampler as usual (the audio stream runs on its own shifted sigma schedule).
4. LanPaint_AVDecode – decodes the nested latent, merges the inpainted video with the original (mask-blended boundary) and the inpainted audio inside the masked intervals (with a short crossfade), and writes the result at the original fps and bit depth.

Export masks into the video: the editor's Export mask video button remuxes a new <name>_masked.mp4 copy with the masks embedded in the file metadata (the original file is never modified). Open that file in the editor later - or share it with someone - and the masks are restored automatically.

Download the models from MiniMax H3 on Hugging Face and follow the ComfyUI MiniMax H3 docs.

Resource Consumption

Test Platform: All tests were conducted on an NVIDIA RTX Pro 6000. Model Used: wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors and wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors. Processing Steps: 20 sampling steps x 2 (LanPaint steps of thinking).

Note: Vram is required by the model, not LanPaint. To further reduce VRAM requirements, we recommend generating less frames and loading CLIP on CPU.

Image Examples

Example Anima: InPaint(LanPaint K Sampler, 5 steps of thinking)

We are excited to announce that LanPaint now supports inpainting with the Anima text-to-image model.

Original	Masked	Inpainted

View Workflow & Masks

Model Used in This Example

Example Ideogram4: InPaint(LanPaint Custom Sampler Advanced, 5 steps of thinking)

We are excited to announce that LanPaint now supports inpainting with the Ideogram4 text-to-image model.

Original	Masked	Inpainted

View Workflow & Masks

Model Used in This Example

Example Hunyuan T2I: InPaint(LanPaint K Sampler, 5 steps of thinking)

We are excited to announce that LanPaint now supports inpainting with Hunyuan text to image generation.

View Workflow & Masks

You need to follow the ComfyUI version of Hunyuan workflow to download and install the model.

Example Wan2.2: InPaint(LanPaint K Sampler, 5 steps of thinking)

We are excited to announce that LanPaint now supports Wan2.2 text to image generation with Wan2.2 T2V model.

View Workflow & Masks

You need to follow the ComfyUI version of Wan2.2 T2V workflow to download and install the T2V model.

Example Z-image: InPaint(LanPaint K Sampler, 5 steps of thinking)

LanPaint also supports inpainting with the Z-image text-to-image model.

Original	Masked	Inpainted

View Workflow & Masks

Original	Masked	Outpainted

View Outpaint Workflow & Masks

You can download the Z-image model for ComfyUI from Z-image.

Example Z-image-base: InPaint(LanPaint K Sampler, 3 steps of thinking)

LanPaint also supports inpainting with the Z-image-base model.

Warning (stability): Z-image-base can easily diverge with LanPaint. Start with small LanPaint_StepSize and fewer thinking iterations (lower LanPaint_NumSteps) and increase gradually only if stable.

Original	Masked	Inpainted

View Workflow & Masks

Workflow template (JSON): Z_image_base_Inpaint.json

Example Krea2: InPaint(LanPaint K Sampler, 3 steps of thinking)

We are excited to announce that LanPaint now supports inpainting with the Krea2 Turbo text-to-image model.

Original	Masked	Inpainted

View Workflow & Masks

Model Used in This Example

Example Wan2.2: Partial InPaint(LanPaint K Sampler, 5 steps of thinking)

Sometimes we don't want to inpaint completely new content, but rather let the inpainted image reference the original image. One option to achieve this is to inpaint with an edit model like Qwen Image Edit. Another option is to perform a partial inpaint: allowing the diffusion process to start at some middle steps rather than from 0.

View Workflow & Masks

You need to follow the ComfyUI version of Wan2.2 T2V workflow to download and install the T2V model.

Example Qwen Edit 2509: InPaint

Check our latest updated Mased Qwen Edit Workflow for Qwen Image Edit 2509. Download the model at Qwen Image Edit 2509 Comfy. This workflow also supports Qwen Image Edit 2511.

Example Qwen Edit 2508: InPaint

Check Mased Qwen Edit Workflow. You need to follow the ComfyUI version of Qwen Image Edit workflow to download and install the model.

Example Qwen Image 2.1 Image Edit: Masked InPaint(LanPaint K Sampler, 5 steps of thinking)

Qwen-Image 2.1's image edit model now works under a LanPaint mask: write what you want changed, paint over the part it should touch, and only that part changes - everything else, transparency included, comes back exactly as it was. In this example a second picture supplies the material for the earcups, and the headband and stitching stay as they are. Workflow and images are in examples/Example_32; drag InPainted_Drag_Me_to_ComfyUI.png into ComfyUI to load it. Use your own pictures with the official Qwen Image 2.1 Image Edit template.

View Workflow & Masks · Workflow JSON

Example Qwen Image 2.1: InPaint with Transparency(LanPaint K Sampler, 5 steps of thinking)

Qwen-Image 2.1 inpaints a picture's transparency along with its pixels, so the rebuilt part can come back with a new outline instead of merely new colours - here the boot's sole is replaced and the silhouette grows with it. Workflow and images are in examples/Example_31; drag InPainted_Drag_Me_to_ComfyUI.png into ComfyUI to load it.

View Workflow & Masks · Workflow JSON

Example Qwen Image: InPaint(LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks

You need to follow the ComfyUI version of Qwen Image workflow to download and install the model.

The following examples utilize a random seed of 0 to generate a batch of 4 images for variance demonstration and fair comparison. (Note: Generating 4 images may exceed your GPU memory; please adjust the batch size as necessary.)

Also check Qwen Inpaint Workflow and Qwen Outpaint Workflow. You need to follow the ComfyUI version of Qwen Image workflow to download and install the model.

Example HiDream: InPaint (LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks

You need to follow the ComfyUI version of HiDream workflow to download and install the model.

Example HiDream: OutPaint(LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks

You need to follow the ComfyUI version of HiDream workflow to download and install the model. Thanks Amazon90 for providing this example.

Example SD 3.5: InPaint(LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks

You need to follow the ComfyUI version of SD 3.5 workflow to download and install the model.

Example Flux.2.Dev: InPaint(LanPaint K Sampler, 5 steps of thinking)

Original	Masked	Inpainted

View Workflow & Masks

Model Used in This Example

(Note: Prompt First mode is disabled on Flux.2.Dev. As it does not use CFG guidance.)

Example Flux 2 klein: InPaint(LanPaint K Sampler, 2 steps of thinking)

Original	Masked	Inpainted

View Workflow & Masks

Model Used in This Example. If you have quality problem on Comfy 0.11 and 0.12, check this issue.

Example Flux: InPaint(LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks Model Used in This Example (Note: Prompt First mode is disabled on Flux. As it does not use CFG guidance.)

Example SDXL 0: Character Consistency (Side View Generation) (LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks Model Used in This Example

(Tricks 1: You can emphasize the character by copy it's image multiple times with Photoshop. Here I have made one extra copy.)

(Tricks 2: Use prompts like multiple views, multiple angles, clone, turnaround. Use LanPaint's Prompt first mode (does not support Flux))

(Tricks 3: Remeber LanPaint can in-paint: Mask non-consistent regions and try again!)

Example SDXL 1: Basket to Basket Ball (LanPaint K Sampler, 2 steps of thinking).

View Workflow & Masks Model Used in This Example

Example SDXL 2: White Shirt to Blue Shirt (LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks Model Used in This Example

Example SDXL 3: Smile to Sad (LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks Model Used in This Example

Example SDXL 4: Damage Restoration (LanPaint K Sampler, 5 steps of thinking)

View Workflow & Masks Model Used in This Example

Example SDXL 5: Huge Damage Restoration (LanPaint K Sampler, 20 steps of thinking)

View Workflow & Masks Model Used in This Example

Check more for use cases like inpaint on fine tuned models and face swapping, thanks to Amazon90.

Usage

Workflow Setup
Same as default ComfyUI KSampler - simply replace with LanPaint KSampler nodes. The inpainting workflow is the same as the SetLatentNoiseMask inpainting workflow.

Note

• LanPaint requires binary masks (values of 0 or 1) without opacity or smoothing. To ensure compatibility, set the mask's opacity and hardness to maximum in your mask editor. During inpainting, any mask with smoothing or gradients will automatically be converted to a binary mask.
• LanPaint relies heavily on your text prompts to guide inpainting - explicitly describe the content you want generated in the masked area. If results show artifacts or mismatched elements, counteract them with targeted negative prompts.

Basic Sampler

• LanPaint KSampler: The most basic and easy to use sampler for inpainting.
• LanPaint KSampler (Advanced): Full control of all parameters.

LanPaint KSampler

Simplified interface with recommended defaults:

• Steps: 20 - 50. More steps will give more "thinking" and better results.
• LanPaint NumSteps: The turns of thinking before denoising. Recommend 5 for most of tasks ( which means 5 times slower than sampling without thinking). Use 10 for more challenging tasks.
• LanPaint Prompt mode: Image First mode and Prompt First mode. Image First mode focuses on the image, inpaint based on image context (maybe ignore prompt), while Prompt First mode focuses more on the prompt. Use Prompt First mode for tasks like character consistency. (Technically, it Prompt First mode change CFG scale to negative value in the BIG score to emphasis prompt, which will costs image quality.)

LanPaint KSampler (Advanced)

Full parameter control: Key Parameters

Parameter	Range	Description
Steps	0-100	Total steps of diffusion sampling. Higher means better inpainting. Recommend 20-50.
LanPaint_NumSteps	0-20	Reasoning iterations per denoising step ("thinking depth"). Easy task: 2-5. Hard task: 5-10
LanPaint_Lambda	0.1-50	Content alignment strength (higher = stricter). Recommend 4.0 - 10.0
LanPaint_StepSize	0.1-1.0	The StepSize of each thinking step. Recommend 0.1-0.5.
LanPaint_Beta	0.1-2.0	The StepSize ratio between masked / unmasked region. Small value can compensate high lambda values. Recommend 1.0
LanPaint_Friction	0.0-100.0	The friction of Langevin dynamics. Higher means more slow but stable, lower means fast but unstable. Recommend 10.0 - 20.0
LanPaint_EarlyStop	0-10	Stop LanPaint iteration before the final sampling step. Helps to remove artifacts in some cases. Recommend 1-5
LanPaint_PromptMode	Image First / Prompt First	Image First mode focuses on the image context, maybe ignore prompt. Prompt First mode focuses more on the prompt.

For detailed descriptions of each parameter, simply hover your mouse over the corresponding input field to view tooltips with additional information.

LanPaint Mask Blend

This node blends the original image with the inpainted image based on the mask. It is useful if you want the unmasked region to match the original image pixel perfectly.

LanPaint KSampler (Advanced) Tuning Guide

For challenging inpainting tasks:

1️⃣ Boost Quality Increase total number of sampling steps (very important!), LanPaint_NumSteps (thinking iterations) or LanPaint_Lambda if the inpainted result does not meet your expectations.

2️⃣ Boost Speed Decrease LanPaint_NumSteps to accelerate generation! If you want better results but still need fewer steps, consider: - Increasing LanPaint_StepSize to speed up the thinking process. - Decreasing LanPaint_Friction to make the Langevin dynamics converges more faster.

3️⃣ Fix Unstability:
If you find the results have wired texture, try

• Reduce LanPaint_Friction to make the Langevin dynamics more stable.
• Reduce LanPaint_StepSize to use smaller step size.
• Reduce LanPaint_Beta if you are using a high lambda value.

⚠️ Notes:

• For effective tuning, fix the seed and adjust parameters incrementally while observing the results. This helps isolate the impact of each setting. Better to do it with a batche of images to avoid overfitting on a single image.

Community Showcase

Discover how the community is using LanPaint! Here are some user-created tutorials:

• Ai绘画进阶148-三大王炸！庆祝高允贞出道6周年！T8即将直播？当AI绘画学会深度思考？！万能修复神器LanPaint，万物皆可修！-T8 Comfyui教程
• Ai绘画进阶151-真相了！T8竟是个AI？！LanPaint进阶（二），人物一致性，多视角实验性测试，新参数讲解，工作流分享-T8 Comfyui教程
• 重绘和三视图角色一致性解决新方案！LanPaint节点尝试
• ComfyUI: HiDream with Perturbation Upscale, LanPaint Inpainting (Workflow Tutorial)
• ComfyUI必备LanPaint插件超详细使用教程

Submit a PR to add your tutorial/video here, or open an Issue with details!

FAQ

Working togather with crop&stitch

Updates

• 2026/09/28
  • Add Qwen-Image 2.1 image edit support: masked, instruction-driven editing (Example_32).
  • Add Qwen-Image 2.1 inpainting support with LanPaint KSampler (Example_31).
  • Inpainting a picture that carries transparency now works end to end: the 2.1 VAE is 4-in/4-out, so the alpha travels through the latent and is edited alongside the pixels. Keep the inpainting mask in its own greyscale file, since 2.1's alpha channel means image transparency.
  • LanPaint_ImageDecode now matches the decoded channel count to the source image, so an RGBA source comes back RGBA and an RGB source still comes back RGB.
• 2026/08/12
  • v2.1.0: Significantly accelerated LanPaint using a new schedule mechanism.
  • Fix bugs for MiniMax H3 on the latest ComfyUI.
• 2026/08/09
  • Add MiniMax H3 video + audio inpainting support (Example_29): paint per-frame video masks and audio intervals in one editor session, encode both streams into a nested AV latent, sample once, and decode back with the source fps and bit depth preserved.
  • The mask editor can export the masks into the video itself (mp4 metadata) - share a single video file and the masks travel with it.
• 2026/06/27
  • Add Krea2 inpainting support with LanPaint KSampler (Example_28).
  • Add Ideogram4 inpainting support with LanPaint Custom Sampler Advanced (Example_27).
• 2026/05/20
  • Add Anima inpainting and outpainting support (Example_26).
• 2026/03/02
  • v1.5.0: Fixed a hidden bug that hurt performance and caused image blur (especially on z-image-base), and improved overall LanPaint performance on other models too.
• 2026/01/30
  • Add Z-image-base documentation and Example_25 workflow images.
• 2025/08/08
  • Add Qwen image support
• 2025/06/21
  • Update the algorithm with enhanced stability and outpaint performance.
  • Add outpaint example
  • Supports Sampler Custom (Thanks to MINENEMA)
• 2025/06/04
  • Add more sampler support.
  • Add early stopping to advanced sampler.
• 2025/05/28
  • Major update on the Langevin solver. It is now much faster and more stable.
  • Greatly simplified the parameters for advanced sampler.
  • Fix performance issue on Flux and SD 3.5
• 2025/04/16
  • Added Primary HiDream support
• 2025/03/22
  • Added Primary Flux support
  • Added Tease Mode
• 2025/03/10
  • LanPaint has received a major update! All examples now use the LanPaint K Sampler, offering a simplified interface with enhanced performance and stability.
• 2025/03/06:
  • Bug Fix for str not callable error and unpack error. Big thanks to jamesWalker55 and EricBCoding.

ToDo

• Try Implement Detailer
• Provide inference code on without GUI. Check our local Python benchmark code LanPaintBench.

Citation

@article{
zheng2025lanpaint,
title={LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling},
author={Candi Zheng and Yuan Lan and Yang Wang},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2025},
url={https://openreview.net/forum?id=JPC8JyOUSW},
note={}
}