Krea 2 Turbo INT-X Quants (INT4/INT5/INT8)

IMPORTANT

INT5 model requires my custom node - https://github.com/bakapotatolord/ComfyUI-PotatoForge-INTx

Clone it in ComfyUI/custom_nodes folder or it won't work. INT8 Mixed model should work as is, no need for custom node.

Quantization of Krea 2 Turbo primarily meant for low VRAM/RAM usage, expect degradation in quality compared to INT8 Convrot only quants or BF16

INT5 is highly experimental, my goal was to find a middle ground between INT4 and my very own INT6. All block layers are in int5 convrot, it's not mixed.

Once again, used a simple T2I workflow, no second stage or upscaling done as I'm too lazy for that.

Tested on:

• NVIDIA GTX 1660 Super 6 GB

• 32 GB System RAM

Test settings:

• 8 steps

• CFG 1

• Euler / Simple

• 696 × 1048 resolution (0.7 on resolution selector)

• Approximately 9 s/it on a GTX 1660 Super

Quantized using my toolkit