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Merge pull request #6936 from EllangoK/master 

Fixes minor typos around run_modelmerger
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AUTOMATIC1111 2023-01-19 19:58:16 +03:00 committed by GitHub
parent c1928cdd61 f2ae252987
commit 51517f3ea6
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1 changed files with 7 additions and 7 deletions
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14
modules/extras.py
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@ -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]