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| from FateZero.test_fatezero import * | |
| import copy | |
| def merge_config_then_run( | |
| model_id, | |
| data_path, | |
| source_prompt, | |
| target_prompt, | |
| cross_replace_steps, | |
| self_replace_steps, | |
| enhance_words, | |
| enhance_words_value, | |
| num_steps, | |
| guidance_scale | |
| ): | |
| # , ] = inputs | |
| default_edit_config='FateZero/config/low_resource_teaser/jeep_watercolor_ddim_10_steps.yaml' | |
| Omegadict_default_edit_config = OmegaConf.load(default_edit_config) | |
| dataset_time_string = get_time_string() | |
| config_now = copy.deepcopy(Omegadict_default_edit_config) | |
| # config_now['pretrained_model_path'] = model_id | |
| config_now['train_dataset']['prompt'] = source_prompt | |
| config_now['train_dataset']['path'] = data_path | |
| config_now['validation_sample_logger_config']['prompts'] = [target_prompt] | |
| # fatezero config | |
| p2p_config_now = copy.deepcopy(config_now['validation_sample_logger_config']['p2p_config'][0]) | |
| p2p_config_now['cross_replace_steps']['default_'] = cross_replace_steps | |
| p2p_config_now['self_replace_steps'] = self_replace_steps | |
| p2p_config_now['eq_params']['words'] = enhance_words.split(" ") | |
| p2p_config_now['eq_params']['values'] = [enhance_words_value,]*len(p2p_config_now['eq_params']['words']) | |
| config_now['validation_sample_logger_config']['p2p_config'][0] = copy.deepcopy(p2p_config_now) | |
| # ddim config | |
| config_now['validation_sample_logger_config']['guidance_scale'] = guidance_scale | |
| config_now['validation_sample_logger_config']['num_inference_steps'] = num_steps | |
| logdir = default_edit_config.replace('config', 'result').replace('.yml', '').replace('.yaml', '')+f'_{dataset_time_string}' | |
| config_now['logdir'] = logdir | |
| print(f'Saving at {logdir}') | |
| save_path = test(config=default_edit_config, **config_now) | |
| mp4_path = save_path.replace('_0.gif', '_0_0_0.mp4') | |
| return mp4_path | |
| if __name__ == "__main__": | |
| run() | |