ControlNet/tool_transfer_control.py at main · MagicSen/ControlNet · GitHub

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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.pth'

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_first_stage, _ = get_node_name(key, 'first_stage_model')

is_cond_stage, _ = get_node_name(key, 'cond_stage_model')

if is_first_stage or is_cond_stage:

final_state_dict[key] = input_state_dict[key]

continue

p = sd15_with_control_state_dict[key]

is_control, node_name = get_node_name(key, 'control_')

if is_control:

sd15_key_name = 'model.diffusion_' + node_name

else:

sd15_key_name = key

if sd15_key_name in input_state_dict:

p_new = p + input_state_dict[sd15_key_name] - sd15_state_dict[sd15_key_name]

# print(f'Offset clone from [{sd15_key_name}] to [{key}]')

else:

p_new = p

# print(f'Direct clone to [{key}]')

final_state_dict[key] = p_new

torch.save(final_state_dict, path_output)

print('Transferred model saved at ' + path_output)

ControlNet/tool_transfer_control.py at main · MagicSen/ControlNet · GitHub

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