From 668d7e9b9aba1770beae48a8664e0351fcd59f31 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 5 Feb 2023 11:20:47 +0300
Subject: [PATCH] make it possible to load SD1 checkpoints without CLIP

---
 modules/sd_disable_initialization.py | 17 ++++++++++-------
 modules/sd_models.py                 |  6 +++++-
 2 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py
index e90aa9fe..c4a09d15 100644
--- a/modules/sd_disable_initialization.py
+++ b/modules/sd_disable_initialization.py
@@ -20,8 +20,9 @@ class DisableInitialization:
     ```
     """
 
-    def __init__(self):
+    def __init__(self, disable_clip=True):
         self.replaced = []
+        self.disable_clip = disable_clip
 
     def replace(self, obj, field, func):
         original = getattr(obj, field, None)
@@ -75,12 +76,14 @@ class DisableInitialization:
         self.replace(torch.nn.init, 'kaiming_uniform_', do_nothing)
         self.replace(torch.nn.init, '_no_grad_normal_', do_nothing)
         self.replace(torch.nn.init, '_no_grad_uniform_', do_nothing)
-        self.create_model_and_transforms = self.replace(open_clip, 'create_model_and_transforms', create_model_and_transforms_without_pretrained)
-        self.CLIPTextModel_from_pretrained = self.replace(ldm.modules.encoders.modules.CLIPTextModel, 'from_pretrained', CLIPTextModel_from_pretrained)
-        self.transformers_modeling_utils_load_pretrained_model = self.replace(transformers.modeling_utils.PreTrainedModel, '_load_pretrained_model', transformers_modeling_utils_load_pretrained_model)
-        self.transformers_tokenization_utils_base_cached_file = self.replace(transformers.tokenization_utils_base, 'cached_file', transformers_tokenization_utils_base_cached_file)
-        self.transformers_configuration_utils_cached_file = self.replace(transformers.configuration_utils, 'cached_file', transformers_configuration_utils_cached_file)
-        self.transformers_utils_hub_get_from_cache = self.replace(transformers.utils.hub, 'get_from_cache', transformers_utils_hub_get_from_cache)
+
+        if self.disable_clip:
+            self.create_model_and_transforms = self.replace(open_clip, 'create_model_and_transforms', create_model_and_transforms_without_pretrained)
+            self.CLIPTextModel_from_pretrained = self.replace(ldm.modules.encoders.modules.CLIPTextModel, 'from_pretrained', CLIPTextModel_from_pretrained)
+            self.transformers_modeling_utils_load_pretrained_model = self.replace(transformers.modeling_utils.PreTrainedModel, '_load_pretrained_model', transformers_modeling_utils_load_pretrained_model)
+            self.transformers_tokenization_utils_base_cached_file = self.replace(transformers.tokenization_utils_base, 'cached_file', transformers_tokenization_utils_base_cached_file)
+            self.transformers_configuration_utils_cached_file = self.replace(transformers.configuration_utils, 'cached_file', transformers_configuration_utils_cached_file)
+            self.transformers_utils_hub_get_from_cache = self.replace(transformers.utils.hub, 'get_from_cache', transformers_utils_hub_get_from_cache)
 
     def __exit__(self, exc_type, exc_val, exc_tb):
         for obj, field, original in self.replaced:
diff --git a/modules/sd_models.py b/modules/sd_models.py
index af1731e5..d847d358 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -354,6 +354,9 @@ def repair_config(sd_config):
         sd_config.model.params.unet_config.params.use_fp16 = True
 
 
+sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
+sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
+
 def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_to_load_state_dict=None):
     from modules import lowvram, sd_hijack
     checkpoint_info = checkpoint_info or select_checkpoint()
@@ -374,6 +377,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
         state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
 
     checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
+    clip_is_included_into_sd = sd1_clip_weight in state_dict or sd2_clip_weight in state_dict
 
     timer.record("find config")
 
@@ -386,7 +390,7 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None, time_taken_
 
     sd_model = None
     try:
-        with sd_disable_initialization.DisableInitialization():
+        with sd_disable_initialization.DisableInitialization(disable_clip=clip_is_included_into_sd):
             sd_model = instantiate_from_config(sd_config.model)
     except Exception as e:
         pass