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Runtime error
| 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) | |