CivArchive
    DonutsDelivery SDXL Workflow (Simplified) - Upscale, Facedetailer, Ipadapter - MiniDonut v5
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    This is my long running workflow cleaned up and streamlined for y'all so you get good results using my models out the gate.

    There are plenty of notes in the workflow with explanation. I recommend using my SDXL models: https://civarchive.com/models/605283/donutsdeliverymix

    Quick Tip: The prompt in Face related section automatically gets included with the main prompt and does not need to go both places.

    Hotfix 9 Jan: location for sam model in instructions was wrong and has been changed to /sams/


    Help and Questions

    Got any questions you can catch me in my discord server: https://discord.gg/kt2hCJHuKp

    Description

    more samplers, better SDE control, support for refining (intermediate model switching), default parameters that kick ass.

    FAQ

    Comments (4)

    webbed_cargoes7e299Apr 8, 2025
    CivitAI

    any idea how to circumvent:

    ```
    KSamplerAdvanced

    Cannot convert a MPS Tensor to float64 dtype as the MPS framework doesn't support float64. Please use float32 instead.
    ```

    on the first ksampler node ?

    DonutsDelivery
    Author
    Apr 8, 2025

    what model you using?

    @DonutsDelivery lustify olt

    @DonutsDelivery but the same happens with all the others including yours but it works with simpler workflows

    Workflows
    SDXL 1.0

    Details

    Downloads
    773
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/7/2025
    Updated
    6/29/2026
    Deleted
    -

    Files

    donutsdeliverySDXLWorkflow_minidonutV5.zip