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killah-t-cell/EditAnything

sourceHugging Faceupdated 3y agoView on Hugging Face
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tool_transfer_control.py60 linesDownload Raw Back to root
1path_sd15 = './models/v1-5-pruned.ckpt'2path_sd15_with_control = './models/control_sd15_openpose.pth'3path_input = './models/anything-v3-full.safetensors'4path_output = './models/control_any3_openpose.pth'5 6 7import os8 9 10assert os.path.exists(path_sd15), 'Input path_sd15 does not exists!'11assert os.path.exists(path_sd15_with_control), 'Input path_sd15_with_control does not exists!'12assert os.path.exists(path_input), 'Input path_input does not exists!'13assert os.path.exists(os.path.dirname(path_output)), 'Output folder not exists!'14 15 16import torch17from share import *18from cldm.model import load_state_dict19 20 21sd15_state_dict = load_state_dict(path_sd15)22sd15_with_control_state_dict = load_state_dict(path_sd15_with_control)23input_state_dict = load_state_dict(path_input)24 25 26def get_node_name(name, parent_name):27    if len(name) <= len(parent_name):28        return False, ''29    p = name[:len(parent_name)]30    if p != parent_name:31        return False, ''32    return True, name[len(parent_name):]33 34 35keys = sd15_with_control_state_dict.keys()36 37final_state_dict = {}38for key in keys:39    is_first_stage, _ = get_node_name(key, 'first_stage_model')40    is_cond_stage, _ = get_node_name(key, 'cond_stage_model')41    if is_first_stage or is_cond_stage:42        final_state_dict[key] = input_state_dict[key]43        continue44    p = sd15_with_control_state_dict[key]45    is_control, node_name = get_node_name(key, 'control_')46    if is_control:47        sd15_key_name = 'model.diffusion_' + node_name48    else:49        sd15_key_name = key50    if sd15_key_name in input_state_dict:51        p_new = p + input_state_dict[sd15_key_name] - sd15_state_dict[sd15_key_name]52        # print(f'Offset clone from [{sd15_key_name}] to [{key}]')53    else:54        p_new = p55        # print(f'Direct clone to [{key}]')56    final_state_dict[key] = p_new57 58torch.save(final_state_dict, path_output)59print('Transferred model saved at ' + path_output)60