3d-ken-burns VS stable-diffusion-rocm

I guess you could use a free video editor (Davinci resolve is free with less features than payed version). And then try to use this open source script: https://github.com/sniklaus/3d-ken-burns, but it would definitely be harder.

installing ROCm is bit of a pain (there is little packaging, so you have to rebuild it yourself)

Search who's running Stable Diffusion on Nvidia and who's running on AMD: if you are using AMD, you are kind of on your own.

Finally, you have model with custom CUDA code (e.g. https://github.com/sniklaus/3d-ken-burns )

There's a great Github with a script that I run on Google Colab that does a decent parallax effect in about 30 seconds through ML... but it just takes a while to get the instance spun up, and I've yet to figure out how to push out a 4k .mp4 from it. Surely someone has coding chops and can do this for parallax and monetize it like the Dall-E bot?

Making use of: https://github.com/sniklaus/3d-ken-burns

Re: stable diffusion https://github.com/AshleyYakeley/stable-diffusion-rocm

Very easy actually. This is not officially documented, but with a recent enough kernel you don't have to install anything. You can grab the official rocm container and it'll just work. For example for Stable Diffusion see https://github.com/AshleyYakeley/stable-diffusion-rocm/blob/...

I had good luck with these directions, which let you run inside a docker container:

https://github.com/AshleyYakeley/stable-diffusion-rocm

I had to make the one line change suggested in issue #3 to get it to run under 8GB.

radeontop suggests 4GB might work.

I also had to add this environment variable to make it work on my unsupported radeon 6600xt:

HSA_OVERRIDE_GFX_VERSION=10.3.0

It takes under two minutes per batch of 5 images with the --turbo option.

(Base OS is manjaro; using the distro's version of docker; not the flatpack docker package.)

If you don't have a GPU, paperspace will rent you an appropriate VM.

I have it working on an RX 6800, used the scripts from this repo[0] to build a docker image that has ROCm drivers and PyTorch installed.

I'm running Ubuntu 22.04 LTS as the host OS, didn't have to touch anything beyond the basic Docker install. Next step is build a new Dockerfile that adds in the Stable Diffusion WebUI.[1]

[0] https://github.com/AshleyYakeley/stable-diffusion-rocm