From 9a3f35b028a8026291679c35e1df5b2aea327a1d Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Fri, 14 Jul 2023 09:56:01 +0300
Subject: [PATCH] repair medvram and lowvram

---
 modules/lowvram.py             | 4 +++-
 modules/sd_hijack_open_clip.py | 4 ++--
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/modules/lowvram.py b/modules/lowvram.py
index da4f33a8..6bbc11eb 100644
--- a/modules/lowvram.py
+++ b/modules/lowvram.py
@@ -100,7 +100,9 @@ def setup_for_low_vram(sd_model, use_medvram):
         sd_model.depth_model.register_forward_pre_hook(send_me_to_gpu)
     if sd_model.embedder:
         sd_model.embedder.register_forward_pre_hook(send_me_to_gpu)
-    parents[sd_model.cond_stage_model.transformer] = sd_model.cond_stage_model
+
+    if hasattr(sd_model, 'cond_stage_model'):
+        parents[sd_model.cond_stage_model.transformer] = sd_model.cond_stage_model
 
     if use_medvram:
         sd_model.model.register_forward_pre_hook(send_me_to_gpu)
diff --git a/modules/sd_hijack_open_clip.py b/modules/sd_hijack_open_clip.py
index fcf5ad07..bb0b96c7 100644
--- a/modules/sd_hijack_open_clip.py
+++ b/modules/sd_hijack_open_clip.py
@@ -32,7 +32,7 @@ class FrozenOpenCLIPEmbedderWithCustomWords(sd_hijack_clip.FrozenCLIPEmbedderWit
     def encode_embedding_init_text(self, init_text, nvpt):
         ids = tokenizer.encode(init_text)
         ids = torch.asarray([ids], device=devices.device, dtype=torch.int)
-        embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
+        embedded = self.wrapped.model.token_embedding.wrapped(ids.to(self.wrapped.model.token_embedding.wrapped.weight.device)).squeeze(0)
 
         return embedded
 
@@ -66,6 +66,6 @@ class FrozenOpenCLIPEmbedder2WithCustomWords(sd_hijack_clip.FrozenCLIPEmbedderWi
     def encode_embedding_init_text(self, init_text, nvpt):
         ids = tokenizer.encode(init_text)
         ids = torch.asarray([ids], device=devices.device, dtype=torch.int)
-        embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
+        embedded = self.wrapped.model.token_embedding.wrapped(ids.to(self.wrapped.model.token_embedding.wrapped.weight.device)).squeeze(0)
 
         return embedded