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    Tiled Diffusion Tile Controlnet Upscale - v4.0 SDXL
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    Generates an image in SDXL and upscale it to 2x the original resolution using Tile Controlnet, Tiled Diffusion and colour matching. You can provide your own image (e.g. from Flux) for upscaling and disable the image generation process.

    Nodes

    Install the following custom nodes using ComfyUI Manager:

    • rgthree's ComfyUI Nodes

    • KJNodes for ComfyUI

    • ComfyUI Essentials

    • ComfyUI-Advanced-ControlNet

    • Tiled Diffusion & VAE for ComfyUI

    Models Required

    Checkpoint:

    Tile Controlnet:

    • xinsir/ControlNet++: All-in-one ControlNet (ProMax model) - higher detail

    • xinsir/ControlNet Tile SDXL (better colours)


    This workflow implements the ideas from this video by Latent Vision:

    Description

    Updated the workflow to use SDXL Turbo

    FAQ

    Comments (7)

    NobleCRSep 27, 2024
    CivitAI

    Thanks for sharing, this looks a lot similar to what I have so I can vouch for it.

    I have a question though, as I've been investing myself a bit more into how to integrate more of CN++ Promax into my flow, and I see a new mode Tile Super (and other variantes), wondering if you know how to use it, to me it's confusing there is a single model and then how do I know what mode it is using?

    PixelMuseAI
    Author
    Sep 28, 2024· 1 reaction

    This video from Olivio Sarikas might help. https://m.youtube.com/watch?v=UBFEw1IUX_I

    The Controlnet should work differently based on your workflow. If you provide a larger latent then it should be working in super resolution mode. And if you provide an empty latent of the same size, then it should work in variation mode (with different seeds and lower Controlnet strength).

    I'll do some testing when I get home to see if this is correct.

    PixelMuseAI
    Author
    Sep 30, 2024· 1 reaction

    Hi, I just came across this video that might be helpful to you. https://youtu.be/Sqp9YxfGxFQ?feature=shared&t=276 There is a set union controlnet type node, it is included in comfyui core nodes so there is no need to install any custom nodes. Hope this helps.

    Kink_KongOct 16, 2024
    CivitAI

    I couldn't get the idea behind this process, but I just followed with the downloaded workflow, except I changed checkpoint with juggernautXL and steps20/CFG8. I get skewed images. can you point me which should be wrong? I updated all components, and tile-model is controlnet-tile-SDXL-1.0. Image is posted below.

    PixelMuseAI
    Author
    Oct 16, 2024

    Juggernaut checkpoint should not result in skewing of the images. Try xinsir's union controlnets.

    My advice will be to start from the recommended models as this is what I tested the workflow on, to see if you can replicate the results. Then change out one model at a time to suit the particular style you are going for.

    Try different sampler / scheduler combination as well. the non-SDE / ancestral ones might work better.

    Kink_KongOct 17, 2024

    Thanks for your attention. I tried Euler/DPM_A, then scheduler simple/normal/SGM_uniform, and then tile-model as union-one. All same. Very skewed and screwed. There must be 'one' reason, or 'the one' faulty working, but at this moment I don't know what causes this image-misalignment. I would dig into this myself... TY again.

    Psy_pmpJul 10, 2025
    CivitAI

    I didn't change anything, all the models are the same, it just doesn't work.

    Workflows
    SDXL Turbo

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    Details

    Downloads
    1,804
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    9/26/2024
    Updated
    4/27/2026
    Deleted
    10/17/2025

    Files

    tiledDiffusionTile_v40SDXL.zip

    Mirrors