Matlab has been developing the DL Toolbox for many years, and I want to know what it can do now. I know there are already many official examples, but their overall cognitive effect is limited or even outdated.
For example, I want to start LDF-VFI now, which is a Diffusion model, but there are not many related examples. What extent can Matlab achieve this? By calling PyTorch through Matlab to reduce meaningless dependencies; by calling the converted ONNX through Matlab to break away from Python; even optimizing this scheme to reduce actual VRAM and other resource overheads?
If you could provide the specific code flow, I would greatly appreciate it.Matlab has been developing the DL Toolbox for many years, and I want to know what it can do now. I know there are already many official examples, but their overall cognitive effect is limited or even outdated.
For example, I want to start LDF-VFI now, which is a Diffusion model, but there are not many related examples. What extent can Matlab achieve this? By calling PyTorch through Matlab to reduce meaningless dependencies; by calling the converted ONNX through Matlab to break away from Python; even optimizing this scheme to reduce actual VRAM and other resource overheads?
If you could provide the specific code flow, I would greatly appreciate it. Matlab has been developing the DL Toolbox for many years, and I want to know what it can do now. I know there are already many official examples, but their overall cognitive effect is limited or even outdated.
For example, I want to start LDF-VFI now, which is a Diffusion model, but there are not many related examples. What extent can Matlab achieve this? By calling PyTorch through Matlab to reduce meaningless dependencies; by calling the converted ONNX through Matlab to break away from Python; even optimizing this scheme to reduce actual VRAM and other resource overheads?
If you could provide the specific code flow, I would greatly appreciate it. matlab, deep learning, stable diffusion MATLAB Answers — New Questions

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