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| author | AUTOMATIC <16777216c@gmail.com> | 2023-01-10 14:08:29 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2023-01-10 14:08:29 +0300 |
| commit | 0c3feb202c5714abd50d879c1db2cd9a71ce93e3 (patch) | |
| tree | 02dc6ac945bde441302f1be5e6878c8394566b23 /modules/sd_disable_initialization.py | |
| parent | ef75c980536471c0729a2319440e3083cd57a4f0 (diff) | |
disable torch weight initialization and CLIP downloading/reading checkpoint to speedup creating sd model from config
Diffstat (limited to 'modules/sd_disable_initialization.py')
| -rw-r--r-- | modules/sd_disable_initialization.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/modules/sd_disable_initialization.py b/modules/sd_disable_initialization.py new file mode 100644 index 00000000..c9a3b5e4 --- /dev/null +++ b/modules/sd_disable_initialization.py @@ -0,0 +1,44 @@ +import ldm.modules.encoders.modules
+import open_clip
+import torch
+
+
+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.
+
+ Use like this:
+ ```
+ with DisableInitialization():
+ do_things()
+ ```
+ """
+
+ def __enter__(self):
+ def do_nothing(*args, **kwargs):
+ pass
+
+ def create_model_and_transforms_without_pretrained(*args, pretrained=None, **kwargs):
+ return self.create_model_and_transforms(*args, pretrained=None, **kwargs)
+
+ 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)
+
+ self.init_kaiming_uniform = torch.nn.init.kaiming_uniform_
+ self.init_no_grad_normal = torch.nn.init._no_grad_normal_
+ self.create_model_and_transforms = open_clip.create_model_and_transforms
+ self.CLIPTextModel_from_pretrained = ldm.modules.encoders.modules.CLIPTextModel.from_pretrained
+
+ torch.nn.init.kaiming_uniform_ = do_nothing
+ torch.nn.init._no_grad_normal_ = do_nothing
+ open_clip.create_model_and_transforms = create_model_and_transforms_without_pretrained
+ ldm.modules.encoders.modules.CLIPTextModel.from_pretrained = CLIPTextModel_from_pretrained
+
+ 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
+ open_clip.create_model_and_transforms = self.create_model_and_transforms
+ ldm.modules.encoders.modules.CLIPTextModel.from_pretrained = self.CLIPTextModel_from_pretrained
+
|