From f2ae2529877072874ebaac0257fe4af48c5855a4 Mon Sep 17 00:00:00 2001 From: EllangoK Date: Thu, 19 Jan 2023 10:24:17 -0500 Subject: [PATCH] fixes minor typos around run_modelmerger --- modules/extras.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/modules/extras.py b/modules/extras.py index d03f976e..1218f88f 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -275,7 +275,7 @@ def create_config(ckpt_result, config_source, a, b, c): shutil.copyfile(cfg, checkpoint_filename) -chckpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"] +checkpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"] def to_half(tensor, enable): @@ -303,7 +303,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_ def add_difference(theta0, theta1_2_diff, alpha): return theta0 + (alpha * theta1_2_diff) - def filename_weighed_sum(): + def filename_weighted_sum(): a = primary_model_info.model_name b = secondary_model_info.model_name Ma = round(1 - multiplier, 2) @@ -311,7 +311,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_ return f"{Ma}({a}) + {Mb}({b})" - def filename_add_differnece(): + def filename_add_difference(): a = primary_model_info.model_name b = secondary_model_info.model_name c = tertiary_model_info.model_name @@ -323,8 +323,8 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_ return primary_model_info.model_name theta_funcs = { - "Weighted sum": (filename_weighed_sum, None, weighted_sum), - "Add difference": (filename_add_differnece, get_difference, add_difference), + "Weighted sum": (filename_weighted_sum, None, weighted_sum), + "Add difference": (filename_add_difference, get_difference, add_difference), "No interpolation": (filename_nothing, None, None), } filename_generator, theta_func1, theta_func2 = theta_funcs[interp_method] @@ -362,7 +362,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_ shared.state.textinfo = 'Merging B and C' shared.state.sampling_steps = len(theta_1.keys()) for key in tqdm.tqdm(theta_1.keys()): - if key in chckpoint_dict_skip_on_merge: + if key in checkpoint_dict_skip_on_merge: continue if 'model' in key: @@ -387,7 +387,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_ for key in tqdm.tqdm(theta_0.keys()): if theta_1 and 'model' in key and key in theta_1: - if key in chckpoint_dict_skip_on_merge: + if key in checkpoint_dict_skip_on_merge: continue a = theta_0[key]