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add xformers attnblock and hypernetwork support

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C43H66N12O12S2 2022-10-08 11:55:02 +03:00 committed by GitHub
parent b70eaeb200
commit 5d54f35c58
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1 changed files with 18 additions and 2 deletions
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modules/sd_hijack_optimizations.py
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@ -98,6 +98,12 @@ def xformers_attention_forward(self, x, context=None, mask=None):
h = self.heads
q_in = self.to_q(x)
context = default(context, x)
hypernetwork = shared.selected_hypernetwork()
hypernetwork_layers = (hypernetwork.layers if hypernetwork is not None else {}).get(context.shape[2], None)
if hypernetwork_layers is not None:
k_in = self.to_k(hypernetwork_layers[0](context))
v_in = self.to_v(hypernetwork_layers[1](context))
else:
k_in = self.to_k(context)
v_in = self.to_v(context)
q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b n h d', h=h), (q_in, k_in, v_in))
@ -169,3 +175,13 @@ def cross_attention_attnblock_forward(self, x):
h3 += x
return h3
def xformers_attnblock_forward(self, x):
h_ = x
h_ = self.norm(h_)
q1 = self.q(h_).contiguous()
k1 = self.k(h_).contiguous()
v = self.v(h_).contiguous()
out = xformers.ops.memory_efficient_attention(q1, k1, v)
out = self.proj_out(out)
return x+out