Added license

html/licenses.html

@@ -184,7 +184,7 @@ SOFTWARE.
 </pre>
 
 <h2><a href="https://github.com/JingyunLiang/SwinIR/blob/main/LICENSE">SwinIR</a></h2>
-<small>Code added by contirubtors, most likely copied from this repository.</small>
+<small>Code added by contributors, most likely copied from this repository.</small>
 
 <pre>
                                  Apache License
@@ -390,3 +390,30 @@ SOFTWARE.
    limitations under the License.
 </pre>
 
+<h2><a href="https://github.com/AminRezaei0x443/memory-efficient-attention/blob/main/LICENSE">Memory Efficient Attention</a></h2>
+<small>The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.</small>
+<pre>
+MIT License
+
+Copyright (c) 2023 Alex Birch
+Copyright (c) 2023 Amin Rezaei
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+</pre>
+

modules/sd_hijack_optimizations.py

@@ -216,6 +216,7 @@ def split_cross_attention_forward_invokeAI(self, x, context=None, mask=None):
 
 
 # Based on Birch-san's modified implementation of sub-quadratic attention from https://github.com/Birch-san/diffusers/pull/1
+# The sub_quad_attention_forward function is under the MIT License listed under Memory Efficient Attention in the Licenses section of the web UI interface
 def sub_quad_attention_forward(self, x, context=None, mask=None):
     assert mask is None, "attention-mask not currently implemented for SubQuadraticCrossAttnProcessor."
 

modules/sub_quadratic_attention.py

 # original source:
 #   https://github.com/AminRezaei0x443/memory-efficient-attention/blob/1bc0d9e6ac5f82ea43a375135c4e1d3896ee1694/memory_efficient_attention/attention_torch.py
 # license:
-#   unspecified
+#   MIT License (see Memory Efficient Attention under the Licenses section in the web UI interface for the full license)
 # credit:
 #   Amin Rezaei (original author)
 #   Alex Birch (optimized algorithm for 3D tensors, at the expense of removing bias, masking and callbacks)