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    The workflow is designed for a single image. I didn't test much it for batches more then one. Since v10.3 you can make multiple images in one job.

    The features of that workflow (in the newest version):

    • Basic generation and editing (TXT2IMG, IMG2IMG, inpaint);

    • LORAs with control of automatic adding keyword into prompt (through LORA Manager);

    • Advanced generation (multiply TXT2IMG control-net , inpaint, outpaint, onlymasked inpaint);

    • Checkpoint loader lora with some additional features for Pony (scores presets, rating presets, negative presets and so on);

    • Saving metadata in Civitai's format;

    • Advanced prompting (styles selector, control on lora's keyword, negative/positive presets, morphing support, prompt formatting);

    • 5 separated detailer groups with some pre-set settings, additional/combined prompt for each of them. You may add more detailer groups to connect them in the same way or delete it if necessary. I think it is pretty simple;

    • Almost fully switch-toggle control: if you use the workflow as is, you don't need any manual connection, muting, bypassing, activating. (The previews of the adetailers are exceptions. They have global toggles, but sometimes it's more useful to activate or bypass some of them manually. I didn't find a better decision for it. Since v11, there are no toggles for it; the previews are inside adetailers groups.)

    • Model upscale

    • Lama object remover

    • Not totally, but mostly nodes in the 'backend' (nodes under Lora Manager node) have tips on nodes and their links that give some help if you want to bring some modification;

    • Detailed (probably too detailed) a readme node with explanation of the logic of work and some advice.

    • Few bookmarks/shortcuts for fast navigation

    • Token counter for positive (+Lora's keyword + styles)

    • Florance-2 tag caption

    The main goal of this workflow is to make the basic functionality of the WebUI and some extensions I use as functional as possible, mostly for Pony, as a residual matter — sd and sdxl. Some of these attempts have already failed.

    Yolo/segmentation models:

    https://huggingface.co/ashllay/YOLO_Models/tree/main

    https://huggingface.co/Anzhc/Anzhcs_YOLOs

    Additional prompting:

    https://github.com/asagi4/comfyui-prompt-control

    Credits:

    The main concept is from this workflow https://civarchive.com/models/1507055/text-to-img-complete-workflow-multi-loras-adetailer-wildcards-and-more-comfyui by @Mittoshura.

    Description

    • Changed the caption system, erased the Danbooru caption system, put Florence-2 instead.

    • Changed the tag counter system; now it is simpler.

    • Added a separated Stop at Clip skip layer node and made it put a real value into image metadata.

    • Slightly changed face detailer settings.

    • Changed main preview nodes; now Ksampler's preview is muted in modes that don't use Ksampler. Both Ksampler's previews and the final image can be muted/bypassed manually now.

    • The real size of the image is getting noted now and goes into the meta of an image (in the previous version of the workflow, the values were taken from resolution nodes).

    • Settings of SD upscaler are now in one single group.

    • Renamed, changed position, and adjusted settings of bookmarks.

    • Many small changes like changing the size of nodes or repositioning them.

    FAQ

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    Details

    Downloads
    95
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/11/2025
    Updated
    5/14/2026
    Deleted
    -

    Files

    allInOneWorkflowForSDXL_v100.zip

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