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clarifications for --lowvram and --medvram in readme.

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AUTOMATIC 2022-09-01 18:19:39 +03:00
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@ -294,11 +294,21 @@ Model is separated into modules, and only one module is kept in GPU memory; when
is removed from GPU memory. The nature of this optimization makes the processing run slower -- about 10 times slower is removed from GPU memory. The nature of this optimization makes the processing run slower -- about 10 times slower
compared to normal operation on my RTX 3090. compared to normal operation on my RTX 3090.
`--medvram` is another optimization that should reduce VRAM usage significantly by not peocessing conditional and `--medvram` is another optimization that should reduce VRAM usage significantly by not processing conditional and
unconditional denoising in a same batch. unconditional denoising in a same batch.
This implementation of optimization does not require any modification to original Stable Diffusion code. This implementation of optimization does not require any modification to original Stable Diffusion code.
#### What option to use?
If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
If you have 4GB VRAM and want to make images larger than that, use `--lowvram`.
If you have more VRAM and want to make larger images than you can usually make, use `--medvram`. You can use `--lowvram`
also but the effect will likely be barely noticeable.
Otherwise, do not use any.
### Inpainting ### Inpainting
In img2img tab, draw a mask over a part of image, and that part will be in-painted. In img2img tab, draw a mask over a part of image, and that part will be in-painted.