Name: Flux Unchained by SCG
Rating: 0 (0 reviews)
Author: socalguitarist

sexual situations

physical violence

disturbing

male nudity

extremist

hanging

hate symbols

nazi party

revealing clothes

weapon violence

female swimwear or underwear

male swimwear or underwear

partial nudity

white supremacy

adult toys

graphic male nudity

illustrated explicit nudity

nudity

self injury

graphic female nudity

corpses

wide hips

emaciated bodies

blowjob

sexual activity

sexual intent

suggestive

exposed female nipple

undressed

male underwear

female swimwear

genitals

female underwear

thick thighs

breasts out

strapless leotard

vore

bestiality

breast out

one breast out

huge breasts

gigantic breasts

huge butt

covered nipples

hair over breasts

no panties

sitting on face

anal

dildo riding

downblouse

oral

porn

futanari

hentai

nude

lingerie

sexy

nsfw

graphic violence or gore

convenient censoring

peeing

oral invitation

female nudity

bukkake

cumshot

cumdrip

cum in pussy

cum on face

cum on hair

cum on body

cum on tongue

cum on hands

cum in mouth

cum on pussy

eat_cum

fellatio

implied fellatio

after fellatio

triple fellatio

autofellatio

pov fellatio

fucked silly

presenting ass

presenting pussy

spreading legs

spread legs

swimwear

Like the work I do and want to say thanks? <a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/socalguitarist">Buy me a coffee</a> or <a target="_blank" rel="ugc" href="https://www.patreon.com/user?u=33487230">Support me on Patreon for exclusive early access to my models and more!</a><a target="_blank" rel="ugc" href="https://discord.gg/SKrfwWNa9u">Join us on SCG-Playground where we have fun contests, discuss model and prompt creation, AI news and share our art to our hearts content in THE FLOOD! 💖💖💖</a><hr />For version specific notes and settings, look under "About this version" ---&gt;What a time to be alive! I created this model by block merging my low weight LoRA trainings over multiple passes (very similar to how I created my SDXL series models) to the base flux.d model. The result is a model that can do basic NSFW generations including proper female anatomy and concepts. Total training was about 5k images spread across SFW cinematic stills, art photography, LaION art-pop, about 1500ish explicit and artful nudes about 80% photography, 20% AI/illustrative nudes. The model responds well to prompts just like base-flux does. This is a WIP and only a V1, I will be tuning this model more as I identify weaknesses in the output and methods to improve the quality. This model was built on top of the flux.1_dev_8x8_e4m3fn-marduk191 version, so fp8 quality, though I have included the full FP16 clip-l and T5 models, as I don't like the quality drop off with FP8 T5 clip. If there is demand for an fp8/fp8 version, I can make one available.

This is HyFU, short for "Hybrid Flux Unchained" - This is a 5 way custom block-by-block combination of base Flux-dev, base Flux-schnell, Flux Unchained v1, Flux Unchained V2 (coming soon), and SchnFU v1, and actively uses parts and pieces (via weights and biases) of all 5 models. What this has created is a model that is high quality with the coherence and artistic flair of Dev (depending on the sampler you use, more on that in a sec), near the speed of Schnell, with my own custom fine tuning style that you guys have already gotten to know with either my FU/SchnFU models, or my previous XL/1.5 model series releases (NightVision, DynaVision, ProtoVision, Cinevision). The best results I've found so far:If you want more Schnell styled output: <ul><li>Sampler: euler</li><li>cfg: 1.0</li><li>steps: 8</li><li>Scheduler: normal, simple or beta tend to be most reliable, you can get more detail with AYS and AYS_30 schedulers, but I've noticed text tends to take a hit with these guys</li></ul>If you want more Dev styled output:<ul><li>Sampler: lcm</li><li>cfg: 0.8</li><li>steps: 8</li><li>Scheduler: ays_30+ and beta give the best most detailed and creative outputs, though you can use normal or simple if you have to. I tend to see more errors with this sampler using normal and simple, and they both tend to have less detail, but it still captures the dev style better than euler does.</li></ul>A few other testing observations worth sharing with this model that makes it a bit different than either dev or schnell. First, guidance does absolutely nothing with this model. Guidance of 1.0 to guidance of 50, you're going to get the same output.This model is very very sensitive to CFG changes. for the LCM sampler, I use 0.8, but I've found it's stable in the 0.7 to 1.0 range. past 1 it falls apart fast (and doubles in generation time too). With the other samplers, going past 1 makes stuff get blurry. you may have some luck pushing cfg as high as maybe 1.2, but past that stuff starts to decohere and lose quality fast.I use a max_shift of 1.0 and a base_shift of 0.2, however I have testers that are running it in the 1.5/0.5 range and getting good results as well, play with it and see if you get better output.Finally, this model falls under the non-commercial <a target="_blank" rel="ugc" href="http://Flux.Dev">Flux.Dev</a> license. Even though it is a hybrid of both schnell and Dev, the more restrictive dev licensing takes precedence.

HyFU-8-Step-Hybrid-v1.0

Meet SchnFU (I read it as "SHNAFU" in my head), a 4 step, SFW/NSFW capable tune of the Flux Schnell 4 step distilled model. I will say right off the bat, that this model (and the model it's tuned on) is not as capable as the dev version of Flux Unchained - That said, this model is very fast, generating amazing outputs that blow away the composition of even the best of SDXL. I've layered in multiple anatomy datasets, along with movie and photographic datasets. Most of the training inputs were the same as FUv1, however there has been additional training to line this model up more with the upcoming V2 of the full Flux Unchained dev model, which is currently in closed access testing with members and patrons on my discord currently. To run SchnFU I recommend the following settings:Sampler: EulerSchedule: Normal or SimpleCFG: 1Steps: 4I have tested multiple self and civit trained loras on SchnFU and they work perfectly without issue. As this is a Unet only release, you will need to bring your own Flux VAE and CLIP models. If there is interest, I can release another 'full' version that packages all of that into a single safetensor, just let me know here in comments if you need it.I really appreciate all attention this model series has received. I just wanted to make a fully art NSFW model, and now I will continue to iterate on this series to improve it as tools and methods evolve. If you want to share your creations to your hearts content, come visit <a rel="ugc" href="https://discord.gg/ept9mvUg">SCG-Playground</a>, my discord community server. We have a tight community of artists and engineers who make and train great things, as well as have a good time while sharing all of the cool stuff we make. We have unlimited Flux Pro generations with Glitch, our channel art bot. <a rel="ugc" href="https://discord.gg/ept9mvUg">Come check it out! 💖💖💖</a>

SchnFU-v1.3-Unet-4step

This is the same model as Flux Unchained V1, the Unet has been extracted and saved out. You can load it by dropping it into your /models/unet/ folder and load it with the Load Diffusion Model node. (see screenshot on the listing). The improvements here are multiple. You will no longer need to have unneeded clip/VAE models just taking up wasted space in the safetensor file, and even better, no more wonkiness when trying to load LoRAs from Civit! I also want to mention that training for FU2 is already functionally complete, but it's been sitting on the backburner while I figured out all this file conversion stuff and making sure everything works. Keep an eye out for FU2 later this week!Finally, just wanted to say thanks for all the love you guys 💖 - we as a community were in a bit of dark spot with SD3 being the 💩 that it is, but that magic of the early 1.5/SDXL days is back and I'm excited to be part of this journey with you all!

FU_V1_Unet_Only(FP8)

Total training was about 5k images spread across SFW cinematic stills, art photography, LaION art-pop, about 1500ish explicit and artful nudes about 80% photography, 20% AI/illustrative nudes. The model responds well to prompts just like base-flux does. This is a WIP and only a V1, I will be tuning this model more as I identify weaknesses in the output and methods to improve the quality. This model was built on top of the flux.1_dev_8x8_e4m3fn-marduk191 version, so fp8 quality, though I have included the full FP16 clip-l and T5 models, as I don't like the quality drop off with FP8 T5 clip. If there is demand for an fp8/fp8 version, I can make one available.Known Issues<ul><li>No male genitalia yet. have a lora for it, but it messes up lady bits currently, needs redesigning.</li><li>this model is horny, and reminds me a bit of 1.5 now, in that it will sometimes bias towards nudity unprompted. Will work on this with future versions, but for the time being, it's a good idea to prompt clothing if you don't want nudity.</li><li>Super fat guys sometimes get boobs. It's actually realistic I guess, but still looks a bit weird.</li><li>I've noticed some odd striping on the sides of some images in some aspect ratios. This is something the base flux.d model does as well, though it seems the pattern has changed a little with my tune. Will keep an eye on this, may be related to how I'm building the model, or bucketing my training inputs.</li><li>As this is trained on much of the same photo and cinematic library that NightVisionXL is trained on, there is going to be a bias towards closer portraits. </li><li>Women's naked hips are sometimes displaying a wierd ribbing pattern. This is due to the model still really really wanting to put some kind of underwear or bottoms. This should clear up as I layer more trainings in, but it's a bit of an annoyance currently.</li></ul>

FU(t5_16xfp8_e4m3fn)_v1.1

Total training was about 5k images spread across SFW cinematic stills, art photography, LaION art-pop, about 1500ish explicit and artful nudes about 80% photography, 20% AI/illustrative nudes. The model responds well to prompts just like base-flux does. This is a WIP and only a V1, I will be tuning this model more as I identify weaknesses in the output and methods to improve the quality. This model was built on top of the flux.1_dev_8x8_e4m3fn-marduk191 version, so fp8 quality, with FP8 CLIP-L and T5xxl Encoders to get the model size down just a bit and hopefully make it usable for folks with 16GB of VRAM or less (good luck!)(the only difference between this model and the t5_16x8 model is the text encoder, there is no need to keep both around)Known Issues<ul><li>No male genitalia yet. have a lora for it, but it messes up lady bits currently, needs redesigning.</li><li>this model is horny, and reminds me a bit of 1.5 now, in that it will sometimes bias towards nudity unprompted. Will work on this with future versions, but for the time being, it's a good idea to prompt clothing if you don't want nudity.</li><li>Super fat guys sometimes get boobs. It's actually realistic I guess, but still looks a bit weird.</li><li>I've noticed some odd striping on the sides of some images in some aspect ratios. This is something the base flux.d model does as well, though it seems the pattern has changed a little with my tune. Will keep an eye on this, may be related to how I'm building the model, or bucketing my training inputs.</li><li>As this is trained on much of the same photo and cinematic library that NightVisionXL is trained on, there is going to be a bias towards closer portraits.</li><li>Women's naked hips are sometimes displaying a wierd ribbing pattern. This is due to the model still really really wanting to put some kind of underwear or bottoms. This should clear up as I layer more trainings in, but it's a bit of an annoyance currently.</li></ul>

FU(t5_8x8_e4m3fn)_v1.1

Flux Unchained by SCG

nathan_2024.jpg

Type	Checkpoint Trained
Stats	7,535 0
Reviews	Very Positive (281)
Published	Aug 21, 2024
Base Model	Flux.1 S
Hash	AutoV2 E6F4C1463A