From 1df02f2b936ddaa06e145b606edd72861dffd636 Mon Sep 17 00:00:00 2001
From: lvmin <lyuminzhang@outlook.com>
Date: Sat, 11 Feb 2023 21:35:10 -0800
Subject: [PATCH] i

---
 .gitignore               |  3 ++-
 tool_transfer_control.py | 46 ----------------------------------------
 2 files changed, 2 insertions(+), 47 deletions(-)
 delete mode 100644 tool_transfer_control.py

diff --git a/.gitignore b/.gitignore
index 5ae854a..330172c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,7 +7,8 @@ training/
 *.ckpt
 *.safetensors
 
-my_fix.py
+gradio_pose2image_private.py
+tool_transfer_control.py
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/tool_transfer_control.py b/tool_transfer_control.py
deleted file mode 100644
index df0a273..0000000
--- a/tool_transfer_control.py
+++ /dev/null
@@ -1,46 +0,0 @@
-path_sd15 = './models/v1-5-pruned.ckpt'
-path_sd15_with_control = './models/control_sd15_openpose.pth'
-path_input = './models/anything-v3-full.safetensors'
-path_output = './models/control_any3_openpose.ckpt'
-
-
-import os
-
-
-assert os.path.exists(path_sd15), 'Input path_sd15 does not exists!'
-assert os.path.exists(path_sd15_with_control), 'Input path_sd15_with_control does not exists!'
-assert os.path.exists(path_input), 'Input path_input does not exists!'
-assert os.path.exists(os.path.dirname(path_output)), 'Output folder not exists!'
-
-
-import torch
-from share import *
-from cldm.model import load_state_dict
-
-
-sd15_state_dict = load_state_dict(path_sd15)
-sd15_with_control_state_dict = load_state_dict(path_sd15_with_control)
-input_state_dict = load_state_dict(path_input)
-
-
-def get_node_name(name, parent_name):
-    if len(name) <= len(parent_name):
-        return False, ''
-    p = name[:len(parent_name)]
-    if p != parent_name:
-        return False, ''
-    return True, name[len(parent_name):]
-
-
-keys = sd15_with_control_state_dict.keys()
-
-final_state_dict = {}
-for key in keys:
-    is_control, node_name = get_node_name(key, 'control_')
-    if is_control:
-        pass
-    else:
-        pass
-
-torch.save(final_state_dict, path_output)
-print('Transferred model saved at ' + path_output)