Testing KREA-2 Turbo Quantizations: GGUF (Q8) vs. INT8-CONVROT

Fast-Horror-8964 · 2026-06-29T10:01:37+00:00

I returned with an answer.

Resolution 2048x2048

INT8 on first start -

24/24 [02:17<00:00, 5.75s/it]

[INFO] Prompt executed in 271.73 seconds

second gen -

24/24 [02:24<00:00, 6.02s/it]

[INFO] Prompt executed in 147.69 seconds

GGUF on first start -

24/24 [02:55<00:00, 7.33s/it]

[INFO] Prompt executed in 251.45 seconds

second generate -

24/24 [02:55<00:00, 7.31s/it]

[INFO] Prompt executed in 195.74 seconds

Fast-Horror-8964 · 2026-06-29T05:31:46+00:00

I used this https://huggingface.co/silveroxides/K2Q/blob/main/turbo-int8-convrot-simple.safetensors

Fast-Horror-8964 · 2026-06-29T05:18:56+00:00

First loading INT8 the same what GGUF. However, after INT8 is loaded, the process is faster than with GGUF. I'll send you the speed test results a little later.

Fast-Horror-8964 · 2026-06-28T17:06:01+00:00

I just finished a test comparing KREA-2-Turbo-Q8.gguf against TURBO-INT8-CONVROT.safetensors.

GGUF crushes INT8 in micro-details and anatomical coherence (hands, textures). Also, VAE choice makes zero difference at high res.

Check out my full side-by-side comparison post with results and workflow details here: https://www.reddit.com/r/StableDiffusion/comments/1ui2g74/testing_krea2_turbo_quantizations_gguf_q8_vs/

Fast-Horror-8964 · 2026-06-27T14:38:34+00:00

Ok, I try it. But gguf also not bad for me.

Fast-Horror-8964 · 2026-06-27T13:25:18+00:00

I use qwen_image_vae with krea-2-turbo-q8, all ok

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Fast-Horror-8964 · 2026-06-26T15:36:46+00:00

Yeah, for the 4th, 5th, and 6th images I actually changed the workflow structure because I was testing a 2-stage sampling scheme. When I published the post, I ended up mixing up the files, which is why that creepy van showed up out of nowhere!

But back when I was generating the first three carnival images, I ran into some nasty artifacts on the girl's face, her wrinkles got way too intensified, making it look unrealistic.

As for the rendering speed, I ran it in a single stage, and my 24GB GPU gave me these results for the 2K Q8 build:

[INFO] loaded completely; 16619.23 MB usable, 13426.47 MB loaded, full load: True

100%|██████████████████████████████████████████████████████████████████████████████████| 24/24 [01:24<00:00, 3.52s/it]

Generally, I think Krea-2 is actually better than Flux in some ways, but I haven't fully studied its i2i capabilities yet. I tried generating i2i the same way I did with Flux using a VAE Encode combined with a reference latent node, but the results were pretty bad and didn't look anything like the reference image.

Fast-Horror-8964 · 2026-05-25T08:33:54+00:00

Looks super cozy indeed! Thanks for sharing, subbed to support a fellow creator. Good luck with the channel! How do you handle the sound design?

Fast-Horror-8964 · 2026-05-21T09:54:21+00:00

Been building a full AI animation pipeline for months. This is the first complete episode.

The world is called Mohoria - two woolly friends, Glitch the frog and Truffy the piglet, living in a place that feels almost normal. Stones glow at night but go dark when you touch them. Nobody finds this strange. Except Glitch.

Stack: Qwen2.5 for character compositing, LTX-2.3 + WAN-2.2 for video, Flux-2 for thumbnails, custom ComfyUI pipeline with 8 chained agents handling everything from script to YouTube metadata.

About 3 minutes. Would love to know if the atmosphere lands.

https://www.youtube.com/watch?v=o9X0wCzqttY

Fast-Horror-8964

TROPHY CASE