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    Inefficient Wacky but Wonderful Plasma Restart Workflow - ComfyUI - wildcards - Lora - FreeU2 - Image Chooser - Restart Latent - Face/Eye Detailer - Upscaler - v3.0
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    Recommend updating to Version 3 as it contains fixes for a few issues related to upscaling and Clip wiring that was dampening the effect of prompts and loras.

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    This workflow is incredibly inefficient, it takes over 2 minutes to get an image on a 3080. However, it produces AMAZING outputs, so if you are patient and are looking for top notch creative high quality results give it a try.

    A key feature of this workflow is the use of plasma noise and sampling in combination with restart sampling to pre-bake the latent image that will then go into the primary sampler. This pre-processing of the latent seems to have a very significant effect on the overall detail of the results. This extra cooking time is worth it to me!

    I am a ComfyUI beginner so I cannot really provide much support for anyone trying to make this work. In my experience the fix missing nodes feature will solve most issues, and if necessary directly get something missing from github or hugging face using google and pasting it in your custom_nodes folder.

    Open to suggestions to improve, I am a novice and learner.

    1: Checkpoints: confirmed working with IllustriousXL, Pony

    Can select resolution

    Can select batch size (important to feed number of images to the image chooser). The size of the batch will impact the time to generate of course.

    Default is to use checkpoint VAE, if your checkpoint does not have a baked VAE it will be necessary to re-wire the VAE using the node provided to all VAE inputs across the workflow.

    2: Supports Wildcards, Loras and FreeU2: (bypass if undesired)

    Detailer lora(s) recommended

    3: Restart latent image with Plasma infusion: to pre-cook the latent before going on to the main sampler

    4: Samper / Scheduler:

    The Denoise value for the Sampler is defaulted to 0.5, this is important since your latent image has already been pre-cooked and we want to refine it further not start from scratch.

    Sampler - Scheduler Combos that are working well from my experience are:

    ddim + sgm_uniform (this is my go to)

    dpmpp_2m and dpmpp_3m (all variations work in my experience) + beta, karras, normal

    euler + normal, beta

    CFG: I like to use high CFG, it is set to 9, feel free to change it up or down, I have gone as high as 11 and it works great.

    5: Image chooser:

    I love this, if you haven't tried it check it out. The number chosen for batch size will determine how many variations of your image you get, you can choose some or all for further processing.

    6: Face/Eye Detailer: Nothing special here just standard stuff

    7: Upscaler: Nothing special here just standard stuff

    8: Image comparer: so you can see if all the time was worth it

    9: Save Image: meta data is not working great in the 1.0 version, hoping to fix that for future versions

    Things I want to add in the future:

    Proper meta data for saved images

    Image2Image with auto prompt generation

    Random image2image batches from file directory

    Random lora + prompt

    Wifi for VAE, clip etc

    On/Off control panel to allow for various workflow components

    Image post processing to balance colors, saturation, brightness etc.

    Description

    Version 3 corrects faulty Clip wiring, please update to version 3 and do not use previous versions.

    FAQ

    Workflows
    Illustrious

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    Details

    Downloads
    116
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    3/18/2025
    Updated
    4/27/2026
    Deleted
    10/17/2025

    Files

    inefficientWackyButWonderfulPlasmaRestart_v30.zip