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This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.

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Hi! Amazing project, and I wonder if it is possible to build the project in the Mac m model or the x84_64 platform? I am not familiar with the Windows...

If you try to use models trained with the v-prediction objective with the current repo, you'll get nonsense output. I detailed in [this issue](https://github.com/axodox/axodox-machinelearning/issues/25#issue-2152960991) This PR adds v-prediction to both...

Some SD finetunes (and the official Stable Diffusion 2) use v-prediction because they [observe that it's better](https://medium.com/@zljdanceholic/three-stable-diffusion-training-losses-x0-epsilon-and-v-prediction-126de920eb73) Currently, v-prediction models will export with Olive and run fine with the ONNX...

Does the API support LCM onnx models?

Hi, First, nice project. 1. It has iOS/Android support? 2. What i need to run in iOS? 3. And what models are supported? 4. Can i use safetensors or ckpt...

Is there any way to use LoRA models with the library? Should be they converted like main models?

It compiles fine, but does not generate anything (not sure if it is meant to). I also wonder where I have to put the model files exactly for that (libfolder)......

Hi, I made sure I have all the dependencies listed in the readme, but I still can't build the project. It looks like there's at least one more dependency that...

Because this thing is x64 only now. Workaround: remove the win32 target from your project.