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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-08-05 09:24:26 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-05 09:24:26 +0300 |
| commit | f879cac1e78fdd1a89919c5e0717a49d2b0e0fba (patch) | |
| tree | 91b0ca7ade858064e16106b2bca8386623a3d060 /modules/sd_vae_approx.py | |
| parent | ad510b2cd312b554f641084a375038ead4c5149c (diff) | |
| parent | b85ec2b9b66492ff9bf3d40a4d9b424390067f0f (diff) | |
Merge pull request #12311 from AUTOMATIC1111/efficient-vae-methods
Add TAESD(or more) options for all the VAE encode/decode operation
Diffstat (limited to 'modules/sd_vae_approx.py')
| -rw-r--r-- | modules/sd_vae_approx.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/sd_vae_approx.py b/modules/sd_vae_approx.py index 86bd658a..3965e223 100644 --- a/modules/sd_vae_approx.py +++ b/modules/sd_vae_approx.py @@ -81,6 +81,6 @@ def cheap_approximation(sample): coefs = torch.tensor(coeffs).to(sample.device)
- x_sample = torch.einsum("lxy,lr -> rxy", sample, coefs)
+ x_sample = torch.einsum("...lxy,lr -> ...rxy", sample, coefs)
return x_sample
|