nanonomad
Joined 4 years ago
Joined 4 years ago
"
Compositional generation. Our method can compose multiple diffusion models during inference and generate images containing all the concepts described in the inputs without further training"
Itll comfortably run on 6gb now. gtx1600 series cards need to run in full precision mode to produce output. The HLKY fork has improved the Gradio GUI and integrated realesrgan and gfpgan for those with beefier cards.
Someone else also figured out how to load and run it all on a CPU, so pretty much anyone can in theory run the model now.
There is an elaborate Colab notebook linked in the HLKY repo that seems to get more point and click user friendly every time i look at it. I think it even launches the gradio webui so you can use the Colab instance with a webui remotely.
Look into nicotinic acid, a form of niacin. The "flushing" one. If you supplement with it start slow, get used to the burning sensation. It goes away after a few times.
Avoid biologics unless you absolutely have to
My voice model wasnt great for this, so it shouldnt be considered ideal performance by any means.
Heres Bill Gates rapping: https://youtu.be/1ztm7aBssgA