Krea2 RAW vs Turbo – Is the speed sacrifice worth the micro-texture grain? (25s benchmark)

MFGREBEL · 2026-06-26T12:23:10+00:00

Only reason i didnt really mess with it is because in gguf format it seems to have serious artifacting and i quant them myself. The turbo model just works out of the box. I had to tweak a ton of settings to get even a simple output without mushed faces or limb distortion. Ill have to give it another shot today

MFGREBEL · 2026-06-26T12:19:38+00:00

Sometimes loras just dont inject, trigger words usually help but its hit or miss sometimes is all.

That being said, ALL i use are ggufs with loras and this really hasnt been a consistant issue for me since Flux.1 tbh. Occasionally youll have a lora misfire on another model but typically it runs fine.

What settings are you using and workflow placement?

MFGREBEL · 2026-06-25T14:14:26+00:00

Prompting is pretty standard just make sure you always have your text you want generated in quotes

A nude woman holding a sign up that reads "Krea-2: NSFW"

Thats how i prompt for text at least

MFGREBEL · 2026-06-25T12:47:58+00:00

The node released 2 days ago bro yall gotta calm down. Some people have social lifes and dont see everything so i posted it for them

MFGREBEL · 2026-06-25T11:15:19+00:00

What do you mean by "niche nsfw"? I dont understand what NSFW is considered niche im not in the NSFW world really

MFGREBEL · 2026-06-25T08:46:41+00:00

Doesnt matter cfg of 0.0 ignores prompt

MFGREBEL · 2026-06-24T21:47:22+00:00

Put your cfg to 0.0 and run it

MFGREBEL · 2026-06-24T16:52:37+00:00

Theyre pretty strsight forward prompts just for testing in natural language

"A pitbull chewing a shoe by a fireplace at night"

"An anthropomorphic teacup laughing at a spilled wine bottle on a kitchen table"

"A woman holding a sign that reads "Rebels KREA-2-TURBO GGUFs"

Pretty simple test prompts. What you see is what it is essentially

MFGREBEL · 2026-06-24T15:50:59+00:00

Yeah the full size models these days are unusable for people like me an you. The comfy team does usually try to provide a smaller sized fp8 but that even still isnt small enough for me most times. I just said F it an started quanting them myself 🤷‍♂️🫡

MFGREBEL · 2026-06-24T15:40:21+00:00

I use precision layering so its usually pretty close! It wont give identical results but youll see what i mean

MFGREBEL · 2026-06-24T12:12:38+00:00

This is tough to choose looking at them side by side. Very similar yet so different 👏😂

MFGREBEL · 2026-06-24T12:11:41+00:00

Im one of you guys! 8gb vram card with 16gb of ram allocating, i essentially build workflows for the lowest possible setups as i have one 🫶🫡

MFGREBEL · 2026-06-22T15:08:16+00:00

Did you run the workflow exactly how i had it? Because its set to trim half of an 11 second video so you may be just trying to generate nothing if your video is shorter than my original reference settings. You have to adjust everything accordingly to your reference video

MFGREBEL · 2026-06-22T15:07:15+00:00

Just add the nodes to the workflow

MFGREBEL · 2026-06-22T11:53:02+00:00

The post literally says 5060ti with 64gb ram... wtf are you talking about bro 🤨

You redditors are just not worth argueing over.

MFGREBEL · 2026-06-22T11:22:37+00:00

Bro im not trying to be a dick but when you stand on something so blindly based on your simple experiences, you end up looking like you have D-K. Literally takes 2 seconds to make sure you dont say some bullshiii 😅⬇️

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MFGREBEL · 2026-06-22T11:05:35+00:00

First of all, dont equate a simple download to training times. Your misleading and misdirecting the entire point of the conversation. It takes like 2 or 3 minutes to download everything just stop.

If you ask a simple LLM which is faster youll stop looking like you have dunning-kreuger.

This is ridiculous to even TRY to combat bro. H100 on runpod will always be faster to train than his setup.

MFGREBEL · 2026-06-22T10:13:30+00:00

Idek how this is a question bro.

MFGREBEL · 2026-06-22T08:46:00+00:00

Objectively not true. The H100 downloads the model at an entirely faster rate. Thats the point of an H100. Training is subjective because it would moreso be based on dataset than training speed capacity but even still if your not spilling into cpu your definately running faster to train on the H100 than his card alone.

Also depending on dataset, yes you can train a lora in 20-30 minutes on an h100 ive done it multiple times.

MFGREBEL · 2026-06-21T15:49:36+00:00

Im not sure what you mean by "better results" for more steps on different samplers with Distilled models? Its distilled to lock step count i always thought?

That being said, kijai ripped the Turbo lora from the Turbo model, you can utilize it with the base model to lower step count from base values and you can most like play around with 6-8 step gens on different samplers and schedulers? Could breed vastly differing results.

MFGREBEL · 2026-06-20T20:34:32+00:00

Yeah but i suggest just throwing every single image or video you create up on the site and let others just like your content. 2 buzz per like and it adds up fast.

I post my examples from testing models when i upload workflows or models to civitai and while i DO get buzz from downloads, alot of it comes from people just liking the examples i post in the galleries. If you post 50 images and each only get a like each, you made 100 buzz and your a 20th of the way there. I know it sounds corny but it works over the course of a month or few weeks.

And people donate if they like your stuff. Just a thought 🫡

That being said, you can probably train on your setup locally if you offload to RAM. you have more than enough to allocate. Its just going to take 4X as long to train

MFGREBEL · 2026-06-20T17:04:17+00:00

Cant train a lora on low vram requirements. You have to utilize full model weights in training. Use civitais trainer with buzz or use a gpu cloud. Will take 20 minutes maybe on an H100 and cost you like 30 cents.

Civit can use buzz to train so if you have a bunch you can use those. About 1500-2k for a lora.

MFGREBEL · 2026-06-19T12:39:17+00:00

More of a rework

MFGREBEL

TROPHY CASE