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author | AUTOMATIC <16777216c@gmail.com> | 2022-09-01 15:19:39 +0000 |
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committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-01 15:19:39 +0000 |
commit | f1aa1d67118f149b081411d74ebfe7b311cd169f (patch) | |
tree | f637929dcf3bef1a488622d6baca3ff7023d5219 | |
parent | 1940382f3861cd10add217e33193f6554a9417a5 (diff) | |
download | stable-diffusion-webui-gfx803-f1aa1d67118f149b081411d74ebfe7b311cd169f.tar.gz stable-diffusion-webui-gfx803-f1aa1d67118f149b081411d74ebfe7b311cd169f.tar.bz2 stable-diffusion-webui-gfx803-f1aa1d67118f149b081411d74ebfe7b311cd169f.zip |
clarifications for --lowvram and --medvram in readme.
-rw-r--r-- | README.md | 12 |
1 files changed, 11 insertions, 1 deletions
@@ -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
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.
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
In img2img tab, draw a mask over a part of image, and that part will be in-painted.
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