<h2 id="v1.7s-bhjvxkj2u">v1.7S</h2><ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/629880?modelVersionId=1253682">Moxie Flux 1 DS v1.5S</a> (previous version - high percentage)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/641214?modelVersionId=760338">Flux ArtFusion 4-steps v1.2</a></li></ul><h3 id="v1.7d-c7yr4zwfl"> v1.7D</h3><ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/629880?modelVersionId=1453489">Moxie Flux 1 DS v1.6</a> (previous version - high percentage)<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/694493/c4pacitor?modelVersionId=1700674">C4PACITOR d v3 alpha </a>(slightly higher percentage)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/833086?modelVersionId=1443922">Colossus Project Flux v5 AIO</a></li></ul></li></ul><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/83a92087-0c76-48ee-a210-c5e9abee1a45/width=525/83a92087-0c76-48ee-a210-c5e9abee1a45.jpeg" /><h3 id="v1.6d-vxe8xqfjv">v1.6D</h3><ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/629880">Moxie Flux1 DS v1.5D</a> (high percentage)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/941929?modelVersionId=1319871">DedistilledMixTuned v3.0 fp8</a></li></ul><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/713986b4-2a32-4720-9855-7a21c3c05bec/width=525/713986b4-2a32-4720-9855-7a21c3c05bec.jpeg" /><h2 id="v1.5s-7g5o17b2a">v1.5S</h2><ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/996504/shuttle-31-aesthetic?modelVersionId=1116641">Shuttle 3.1 Aesthetic v1.0</a> (high percentage)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/118111?modelVersionId=1045901">Copax Timeless v.FluxReal (fast)</a></li></ul><h3 id="v1.5d-m0ah8i06o">v1.5D</h3>1st merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/833086?modelVersionId=1159932">Colossus Project Flux v.42_AIO</a> (high percentage)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/141592?modelVersionId=992642">PixelWave v.FLUX1-dev 03</a></li></ul>2nd merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/694493/c4pacitor?modelVersionId=1123235">C4PACITOR v.d_v2 </a>(high percentage)</li></ul><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3506b12b-186f-4df7-872b-c64bd12eaec2/width=525/3506b12b-186f-4df7-872b-c64bd12eaec2.jpeg" /><h3 id="-tqusx9dfo"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9a1a4faa-0973-479d-949b-a0868adfe5ea/width=525/9a1a4faa-0973-479d-949b-a0868adfe5ea.jpeg" /></h3><h3 id="1.4-4kdjpnj6r">1.4</h3>This is the 'new base' for <a target="_blank" rel="ugc" href="https://civarchive.com/models/781094/moxie-fusion-flux-f16-e5m2">Moxie Flux Fusion</a>, f16 e5m2 version. While this base, I find it has more 'failed' attempts (probably higher success at more steps, and playing with guidance. I keep it at 3-3.5 guidance, and 22 steps). However, the images are unique from other flux models, and it produces some great images. It had made a great pairing for <a target="_blank" rel="ugc" href="https://civarchive.com/models/781094?modelVersionId=985269">Moxie Fusion Flux v1.35</a>, giving it some good variety away from the 'stock' model. 1st merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/833086?modelVersionId=931988">Colossus Project Flux v1.0</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/652009?modelVersionId=959302">Flux_Realistic SaMay v2</a></li></ul>2nd merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/808669?modelVersionId=904292">Dev2Pro </a>(just a splash - I make Lora's with it, and sometimes use it as an upscaler)</li></ul><h3 id="1.3-6iyr3snc4">1.3</h3>This is the 'new base' for <a target="_blank" rel="ugc" href="https://civarchive.com/models/781094/moxie-fusion-flux-f16-e5m2">Moxie Flux Fusion</a>, but the f8 version. 1st merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/118111?modelVersionId=778112">Copax Timeless XL XPlus_1</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/720719?modelVersionId=806846">Project Gaia Flux1.D (Uncensored)</a></li></ul>2nd merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/645943?modelVersionId=722620">Flux Unchained by SCG</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/463163?modelVersionId=742904">The Araminta Experiment (SDXL+Flux) Flux1-A1</a></li></ul>3rd merge<ul><li>Merge first two merges</li></ul>4th merge<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/645943?modelVersionId=722620">Flux dev1 fp8 e4m3fn</a> (as the primary)</li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/691446">ByteDance Hyper-FLUX Acceleration LoRA 8-steps</a></li></ul><h3 id="flux1.d-and-flux1.s-8-step-v0of2hsj2"> Flux1.D &amp; Flux1.S 8-Step</h3>This is the absolute 'base' checkpoint of <a target="_blank" rel="ugc" href="https://civarchive.com/models/618692/flux?modelVersionId=691639">Flux Dev/Schnell</a> (UNET, fp8, e4m3fn), merged with <a target="_blank" rel="ugc" href="https://civarchive.com/models/691446?modelVersionId=774008">ByteDance Hyper-FLUX Acceleration LoRA</a>. It is merges to be a full checkpoint, with dual clips, and VAE included. I'm sure these are somewhere else, but I was unable to find them, so I am uploading them. I find the quality about neck in neck with the 'full' version, and I use it quite often (for testing) since, obviously, 8-step is much faster than 20. After trying to find another upload of this, but finally gave up and decided to upload it. <s> </s> v1.1This is 50/50 merger of <a target="_blank" rel="ugc" href="https://civarchive.com/user/AbdallahAlswa80">AbdallahAlswa80</a>'s 2 speed models, <a target="_blank" rel="ugc" href="https://civarchive.com/models/629858?modelVersionId=704188">Speed FP8 (e4m3fn) D</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/629858?modelVersionId=706389">Speed FP8 (e5m2) S</a>. Produces images in 4 steps. See sample image metadata for specifics.<h3 id="v1.0-fhwydfcyz">v1.0</h3>There are other Flux.1 D and S merges, but none of them are an actually 'stand alone' checkpoint's. Hence, my motivation for this. Also, this has been tested on a 4060 16GB and 3060 12GB with no issues.<a target="_blank" rel="ugc" href="https://civarchive.com/user/Adel_AI">Adel_AI</a> already created a couple of checkpoints that greatly simplify using Flux where you only have to download 1 file, and place it in your checkpoint folder for ComfyUI (reference my workflow <a target="_blank" rel="ugc" href="https://civarchive.com/models/627377/moxie1776s-flux-workflows">here</a>.) This is simply a <a target="_blank" rel="ugc" href="https://civarchive.com/models/629880?modelVersionId=704214">50/50 merger</a> of the two <a target="_blank" rel="ugc" href="https://civarchive.com/user/Adel_AI">Adel_AI</a> Flux1 checkpoints, <a target="_blank" rel="ugc" href="https://civarchive.com/models/623525/flux1d-16gb?modelVersionId=697065">Flux1.D 16Gb</a> and <a target="_blank" rel="ugc" href="https://civarchive.com/models/623224/flux1s-16gb?modelVersionId=696732">Flux1.S 16Gb</a>. Below is a copy and paste from his page that gives further info.

Moxie Flux1 DS

This is the absolute 'base' checkpoint of <a target="_blank" rel="ugc" href="https://civitai.com/models/618692/flux?modelVersionId=691639">Flux Schnell</a> (UNET, fp8, e4m3fn), merged with <a target="_blank" rel="ugc" href="https://civitai.com/models/691446?modelVersionId=774008">ByteDance Hyper-FLUX Acceleration LoRA</a>. It is merges to be a full checkpoint, with dual clips, and VAE included. I'm sure these are somewhere else, but I was unable to find them, so I am uploading them. I find the quality about neck in neck with the 'full' version, and I use it quite often (for testing) since, obviously, 8-step is much faster than 20. After trying to find another upload of this, but finally gave up and decided to upload it.

Files with SHA256: 43924e74e99e521bdd76b503996075d71b84420204f1fdf139f79fc19ade3f93