From ce3f639ec8758ce2bc90483336361d2dc25acd3a Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Tue, 10 Jan 2023 16:51:04 +0300
Subject: add more stuff to ignore when creating model from config prevent
 .vae.safetensors files from being listed as stable diffusion models

---
 modules/sd_disable_initialization.py | 29 +++++++++++++++++++++++++----
 1 file changed, 25 insertions(+), 4 deletions(-)

(limited to 'modules/sd_disable_initialization.py')

diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py
index c9a3b5e4..9942bd7e 100644
--- a/modules/sd_disable_initialization.py
+++ b/modules/sd_disable_initialization.py
@@ -1,15 +1,19 @@
 import ldm.modules.encoders.modules
 import open_clip
 import torch
+import transformers.utils.hub
 
 
 class DisableInitialization:
     """
-    When an object of this class enters a `with` block, it starts preventing torch's layer initialization
-    functions from working, and changes CLIP and OpenCLIP to not download model weights. When it leaves,
-    reverts everything to how it was.
+    When an object of this class enters a `with` block, it starts:
+    - preventing torch's layer initialization functions from working
+    - changes CLIP and OpenCLIP to not download model weights
+    - changes CLIP to not make requests to check if there is a new version of a file you already have
 
-    Use like this:
+    When it leaves the block, it reverts everything to how it was before.
+
+    Use it like this:
     ```
     with DisableInitialization():
         do_things()
@@ -26,19 +30,36 @@ class DisableInitialization:
         def CLIPTextModel_from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs):
             return self.CLIPTextModel_from_pretrained(None, *model_args, config=pretrained_model_name_or_path, state_dict={}, **kwargs)
 
+        def transformers_utils_hub_get_from_cache(url, *args, local_files_only=False, **kwargs):
+
+            # this file is always 404, prevent making request
+            if url == 'https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/added_tokens.json':
+                raise transformers.utils.hub.EntryNotFoundError
+
+            try:
+                return self.transformers_utils_hub_get_from_cache(url, *args, local_files_only=True, **kwargs)
+            except Exception as e:
+                return self.transformers_utils_hub_get_from_cache(url, *args, local_files_only=False, **kwargs)
+
         self.init_kaiming_uniform = torch.nn.init.kaiming_uniform_
         self.init_no_grad_normal = torch.nn.init._no_grad_normal_
+        self.init_no_grad_uniform_ = torch.nn.init._no_grad_uniform_
         self.create_model_and_transforms = open_clip.create_model_and_transforms
         self.CLIPTextModel_from_pretrained = ldm.modules.encoders.modules.CLIPTextModel.from_pretrained
+        self.transformers_utils_hub_get_from_cache = transformers.utils.hub.get_from_cache
 
         torch.nn.init.kaiming_uniform_ = do_nothing
         torch.nn.init._no_grad_normal_ = do_nothing
+        torch.nn.init._no_grad_uniform_ = do_nothing
         open_clip.create_model_and_transforms = create_model_and_transforms_without_pretrained
         ldm.modules.encoders.modules.CLIPTextModel.from_pretrained = CLIPTextModel_from_pretrained
+        transformers.utils.hub.get_from_cache = transformers_utils_hub_get_from_cache
 
     def __exit__(self, exc_type, exc_val, exc_tb):
         torch.nn.init.kaiming_uniform_ = self.init_kaiming_uniform
         torch.nn.init._no_grad_normal_ = self.init_no_grad_normal
+        torch.nn.init._no_grad_uniform_ = self.init_no_grad_uniform_
         open_clip.create_model_and_transforms = self.create_model_and_transforms
         ldm.modules.encoders.modules.CLIPTextModel.from_pretrained = self.CLIPTextModel_from_pretrained
+        transformers.utils.hub.get_from_cache = self.transformers_utils_hub_get_from_cache
 
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