nphSi

/

Z-Image-Lora

like 113

Unlikely. Maybe for a test when OT/RunPod is back on track.

I also did some extensive A/B testing today using both my custom trained LoRAs for the same character based on the same dataset.

Krea 2 has definitely taken a noticeable step up compared to Z-Image. Surfaces, textures, fabrics, hair, skin – everything looks way more realistic, and some parts, like the hair, are insanely detailed.
The prompt adherence is also a lot better, even compared to Z-Image Base (which I use with my own distilled finetune, since Base sticks to prompts way better than Turbo). Some poses aren't even possible with Z-Image.

Anyway, for a local base model without any realism LoRAs or other fine tunes yet, this is really impressive, and I don't think I'll bother training for Z-Image anymore. The training times are pretty similar too, at least with the settings I've been using for Z-Image so far (multi-resolution, 1024, 512 minimum). It usually takes about 1 to 2 hours per LoRA on a 5090.
Too bad there’s no support in Onetrainer yet, but I'm sure that's coming. In the meantime, I'll keep training a few of my datasets via AI Toolkit.
By the way, I wrote myself a GPU sniper via the Runpod API—it spins up a 5090 pod with either the AI Toolkit or Onetrainer template within 15 to 20 minutes max. If you're interested in that, nphSI, hit me up. ;)

Here are some of my test images from today, same prompt, same overall settings. Full resolution for all of you to check the details.

I like prompt 17. Dont know why, cant think with 30C in room...

Need to wait for proper GGUF support in Comfy for both model and TE before i can test. I doubt i will be happy with Q4 quality...

Need to wait for proper GGUF support in Comfy for both model and TE before i can test. I doubt i will be happy with Q4 quality...

Both fp8 models are working fine on my 16 GB 4070 Ti with ComfyUI's smart memory management.