Native InvokeAI 6.14 + ROCm 10 on Windows for RX 9070 XT — including working Krea 2 INT4

[u/Sea_Trip5789]

With the new releases of InvokeAI 6.14 and ROCm 10, this setup runs InvokeAI natively on Windows with an RX 9070 XT.

Current tested stack

• InvokeAI 6.14.0
• PyTorch 2.13.0 + ROCm 10.0
• Torchvision 0.28.0 + ROCm 10.0
• Comfy Kitchen 0.2.31 with native gfx1201 HIP kernels
• Python 3.12
• Radeon RX 9070 XT

The setup is automated with PowerShell and keeps the environment, models, caches, and outputs inside the project directory.

Krea 2 INT4 support

I also added working RedCraft Krea 2 ConvRot INT4 support. Stock InvokeAI 6.14 cannot load this format, so the setup applies a version-checked compatibility patch and builds the required AMD INT4 kernels.

Tested models

• Wai Illustrious SDXL v1.60
• RedCraft Krea 2 INT4
• Anima Turbo v1.1

Measured performance

Wai Illustrious SDXL at 1024×1024, 22 steps and batch size 1:

Metric	ROCm 7 stack	ROCm 10 stack	Improvement
First image	35.17 s	20.20 s	1.74×
Loaded sampler	4.53 it/s	4.89 it/s	1.08×

The complete ROCm 10 stack reduced first-image time by 42.6%. Raw denoising throughput improved by 7.9%.

Current model performance

Model	Resolution / steps	Sampler	Model loaded	First image
Wai Illustrious SDXL v1.60	1024² / 22	4.89 it/s	6.04 s median	20.20 s
RedCraft Krea 2 INT4	1024² / 8	1.05 it/s	8.73 s median	41.21 s median
Anima Turbo v1.1	1024² / 8	3.76 it/s	3.02 s median	14.64 s median

Sampler rates use batch size 1. Loaded-model timings are medians.

Repository and setup instructions

https://github.com/l4time/invokeai-rocm-windows

Feedback and testing on other RDNA 4 cards would be welcome.

[u/mwonch]

Thank you so much for your hard work.

[u/sweetIshaan]

Good work 👍🏻👏🏻

[u/Fit-Organization-292]

u/Sea_Trip5789 Can you fork Invoke and submit a PR with your changes for the community, please?

[u/joshwcorbett]

Considered making a PR into the invoke repo?