`pip install imaginairy==6.0.0a0 --upgrade`
New 512x512 model supported with all samplers and inpainting
New 768x768 model supported with the DDIM sampler only
Not yet supported is the upscaling and depth maps.
To be honest I'm not sure the new model produces better images but maybe they will release some improved models in the future now that they have the pipeline open.
which means what? why be so ambiguous. If if needs 16GB, say so. If it needs 32, say so. your sufficient memory comment is insufficient
> A decent computer with either a CUDA supported graphics card or M1 processor.
Why so? How does an M1 processor replace CUDA in a way a x86_64 processor can't? Do they use ARM assembly?
Those in turn have hardware accelerated backends. Traditionally they’ve only had CUDA backends but Apple ported large chunks of both to Metal as well.
So none of these libraries really target CUDA. In fact they’d run fine without a supported GPU but much slower.
From his post:
if you want to run PyTorch code on the GPU, use torch.device("mps") analogous to torch.device("cuda") on an Nvidia GPU.
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
and it will run on cpu if some operation isn't supported
Fine tuning is out of reach for me, so I'm sticking to 1.5.
As an aside, it would be cool if you versioned that notebook in the repo, so that it could be easily opened with Codespaces.
Good idea to version the notebook.
Something on AWS, Hetzner etc?