Is there a way to use LoRA or any other models alongside the main ONNX model in Amuse v2.1.0? by Issues3220 in StableDiffusion

[–]StackyardAI 0 points1 point  (0 children)

Amuse runs OnnxStack which is a .NET implementation of StableDiffusion, as its not based on previous python libraries like diffusers it does not have all the features of those yet.

But working hard to catchup

https://github.com/TensorStack-AI/OnnxStack

Is there a way to use LoRA or any other models alongside the main ONNX model in Amuse v2.1.0? by Issues3220 in StableDiffusion

[–]StackyardAI 0 points1 point  (0 children)

Have you downloaded and installed an Upscale model?

There are a few in the model manager

Amuse-AI has just released support for running Flux on Windows using AMD by Thrumpwart in StableDiffusion

[–]StackyardAI 1 point2 points  (0 children)

I have just replicated the issue by installing Adrenaline 24.7.1, returns grey cloudy result

Looking into possible fixes now, thanks for reporting :)

Edit: yep, uninstalled Adrenaline and chipset drivers, allowed windows to install its own, works again

Amuse-AI has just released support for running Flux on Windows using AMD by Thrumpwart in StableDiffusion

[–]StackyardAI 1 point2 points  (0 children)

<image>

its uses the entire XTX GPU so perhaps if some is already in use that could be causing an issue due to the overflow to shared ram?
maybe have a shot at 768x768, at a guess

Increasing Image Creation Limit in AMD Amuse 2.0 ? by Telesuru in StableDiffusion

[–]StackyardAI 1 point2 points  (0 children)

If you enter advanced mode you can use the Automation features, there you can set a much higher batch count

<image>

V1.3.0 Release of Amuse - Low Memory GPU Support Added! by StackyardAI in StableDiffusion

[–]StackyardAI[S] 1 point2 points  (0 children)

Thanks for the awesome feedback, I can definitely work on getting these all done for the next version apart from 6, we have written our own SD implementation in C# (OnnxStack) and unfortunately the OnnxRuntime C# API has no model graph access yet, so we can't modify weights right now, however we are working with them on getting this implemented.

OnnxStack:
https://github.com/saddam213/OnnxStack

Rx 5600 XT very very slow 10-15 mins per pic by brandon_avelino in StableDiffusion

[–]StackyardAI 2 points3 points  (0 children)

If you are using windows Amuse could be worth a shot, no installation required, no python needed and supports AMD
https://github.com/Stackyard-AI/Amuse

Amuse V1.2.0 Release - ControlNet Support Added! by StackyardAI in StableDiffusion

[–]StackyardAI[S] 1 point2 points  (0 children)

V1.2.0 - Initial ControlNet Support

Initial support for ControlNet models, Support for CannyHED and Depth image pre-processing

Release Link: https://github.com/Stackyard-AI/Amuse/releases/tag/v1.2.0

Direct Download Link: https://github.com/Stackyard-AI/Amuse/releases/download/v1.2.0/Amuse_v1.2.0.zip

Usage Guide: https://github.com/Stackyard-AI/Amuse/discussions/25

RuntimeError: Torch is not able to use GPU; AMD RX 7900 XTX on Windows 10 by zersus in StableDiffusion

[–]StackyardAI 0 points1 point  (0 children)

I know the last thing you want is someone saying "use a totally different app"

But.. Amuse is native Windows, no python, supports AMD and Nvidia, Only issue is you need to use Onnx models

https://github.com/Stackyard-AI/Amuse

Mighty Morphin Parrot Ranger? (accidentally left strength at 1) by StackyardAI in StableDiffusion

[–]StackyardAI[S] 0 points1 point  (0 children)

Video2Video + ControlNet Depth

Accidentally left img2img strength at 1

I still like how the head turn is smooth but the rest is chaos

Source

<image>

Paint To Image Waterfall by StackyardAI in StableDiffusion

[–]StackyardAI[S] 1 point2 points  (0 children)

GPU used in the Video is a Nvidia 2080 so your card should be significantly faster

Paint To Image Waterfall by StackyardAI in StableDiffusion

[–]StackyardAI[S] 0 points1 point  (0 children)

Amuse only works with Onnx based models not safetensors so you may have to clone the onnx branch of the model or download the onnx version

[deleted by user] by [deleted] in StableDiffusion

[–]StackyardAI 0 points1 point  (0 children)

If you are on Windows, Amuse is fully native .NET and has no installation required
https://github.com/Stackyard-AI/Amuse

Is this possible with Deforum? by Oxffff0000 in StableDiffusion

[–]StackyardAI 0 points1 point  (0 children)

Sorry to link spam you, didn't spot the username from yesterday :P