added --opt-split-attention-v1

modules/sd_hijack.py

@@ -13,6 +13,37 @@ from einops import rearrange
 import ldm.modules.attention
 
 
+
+# see https://github.com/basujindal/stable-diffusion/pull/117 for discussion
+def split_cross_attention_forward_v1(self, x, context=None, mask=None):
+    h = self.heads
+
+    q = self.to_q(x)
+    context = default(context, x)
+    k = self.to_k(context)
+    v = self.to_v(context)
+    del context, x
+
+    q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q, k, v))
+
+    r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device)
+    for i in range(0, q.shape[0], 2):
+        end = i + 2
+        s1 = einsum('b i d, b j d -> b i j', q[i:end], k[i:end])
+        s1 *= self.scale
+
+        s2 = s1.softmax(dim=-1)
+        del s1
+
+        r1[i:end] = einsum('b i j, b j d -> b i d', s2, v[i:end])
+        del s2
+
+    r2 = rearrange(r1, '(b h) n d -> b n (h d)', h=h)
+    del r1
+
+    return self.to_out(r2)
+
+
 # taken from https://github.com/Doggettx/stable-diffusion
 def split_cross_attention_forward(self, x, context=None, mask=None):
     h = self.heads
@@ -143,6 +174,8 @@ class StableDiffusionModelHijack:
 
         if cmd_opts.opt_split_attention:
             ldm.modules.attention.CrossAttention.forward = split_cross_attention_forward
+        elif cmd_opts.opt_split_attention_v1:
+            ldm.modules.attention.CrossAttention.forward = split_cross_attention_forward_v1
 
         def flatten(el):
             flattened = [flatten(children) for children in el.children()]