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| author | AUTOMATIC <16777216c@gmail.com> | 2023-01-21 05:36:07 +0000 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2023-01-21 05:36:07 +0000 |
| commit | 40ff6db5325fc34ad4fa35e80cb1e7768d9f7e75 (patch) | |
| tree | 75230fd3b1c9c53593aca65d7260b62b6df2d82b /modules/sd_hijack_optimizations.py | |
| parent | e33cace2c2074ef342d027c1f31ffc4b3c3e877e (diff) | |
| download | stable-diffusion-webui-gfx803-40ff6db5325fc34ad4fa35e80cb1e7768d9f7e75.tar.gz stable-diffusion-webui-gfx803-40ff6db5325fc34ad4fa35e80cb1e7768d9f7e75.tar.bz2 stable-diffusion-webui-gfx803-40ff6db5325fc34ad4fa35e80cb1e7768d9f7e75.zip | |
extra networks UI
rework of hypernets: rather than via settings, hypernets are added directly to prompt as <hypernet:name:weight>
Diffstat (limited to 'modules/sd_hijack_optimizations.py')
| -rw-r--r-- | modules/sd_hijack_optimizations.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/modules/sd_hijack_optimizations.py b/modules/sd_hijack_optimizations.py index cdc63ed7..4fa54329 100644 --- a/modules/sd_hijack_optimizations.py +++ b/modules/sd_hijack_optimizations.py @@ -44,7 +44,7 @@ def split_cross_attention_forward_v1(self, x, context=None, mask=None): q_in = self.to_q(x)
context = default(context, x)
- context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context)
+ context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context)
k_in = self.to_k(context_k)
v_in = self.to_v(context_v)
del context, context_k, context_v, x
@@ -78,7 +78,7 @@ def split_cross_attention_forward(self, x, context=None, mask=None): q_in = self.to_q(x)
context = default(context, x)
- context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context)
+ context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context)
k_in = self.to_k(context_k)
v_in = self.to_v(context_v)
@@ -203,7 +203,7 @@ def split_cross_attention_forward_invokeAI(self, x, context=None, mask=None): q = self.to_q(x)
context = default(context, x)
- context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context)
+ context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context)
k = self.to_k(context_k) * self.scale
v = self.to_v(context_v)
del context, context_k, context_v, x
@@ -225,7 +225,7 @@ def sub_quad_attention_forward(self, x, context=None, mask=None): q = self.to_q(x)
context = default(context, x)
- context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context)
+ context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context)
k = self.to_k(context_k)
v = self.to_v(context_v)
del context, context_k, context_v, x
@@ -284,7 +284,7 @@ def xformers_attention_forward(self, x, context=None, mask=None): q_in = self.to_q(x)
context = default(context, x)
- context_k, context_v = hypernetwork.apply_hypernetwork(shared.loaded_hypernetwork, context)
+ context_k, context_v = hypernetwork.apply_hypernetworks(shared.loaded_hypernetworks, context)
k_in = self.to_k(context_k)
v_in = self.to_v(context_v)
|