diff options
| -rw-r--r-- | modules/extras.py | 37 |
1 files changed, 19 insertions, 18 deletions
diff --git a/modules/extras.py b/modules/extras.py index bc349d5e..0ad8deec 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -62,7 +62,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_ # Also keep track of original file names
imageNameArr = []
outputs = []
-
+
if extras_mode == 1:
#convert file to pillow image
for img in image_folder:
@@ -234,7 +234,7 @@ def run_pnginfo(image): return '', geninfo, info
-def run_modelmerger(primary_model_name, secondary_model_name, teritary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format):
+def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format):
def weighted_sum(theta0, theta1, alpha):
return ((1 - alpha) * theta0) + (alpha * theta1)
@@ -246,30 +246,25 @@ def run_modelmerger(primary_model_name, secondary_model_name, teritary_model_nam primary_model_info = sd_models.checkpoints_list[primary_model_name]
secondary_model_info = sd_models.checkpoints_list[secondary_model_name]
- teritary_model_info = sd_models.checkpoints_list.get(teritary_model_name, None)
+ tertiary_model_info = sd_models.checkpoints_list.get(tertiary_model_name, None)
result_is_inpainting_model = False
- print(f"Loading {primary_model_info.filename}...")
- theta_0 = sd_models.read_state_dict(primary_model_info.filename, map_location='cpu')
-
- print(f"Loading {secondary_model_info.filename}...")
- theta_1 = sd_models.read_state_dict(secondary_model_info.filename, map_location='cpu')
-
- if teritary_model_info is not None:
- print(f"Loading {teritary_model_info.filename}...")
- theta_2 = sd_models.read_state_dict(teritary_model_info.filename, map_location='cpu')
- else:
- theta_2 = None
-
theta_funcs = {
"Weighted sum": (None, weighted_sum),
"Add difference": (get_difference, add_difference),
}
theta_func1, theta_func2 = theta_funcs[interp_method]
- print(f"Merging...")
+ if theta_func1 and not tertiary_model_info:
+ return ["Failed: Interpolation method requires a tertiary model."] + [gr.Dropdown.update(choices=sd_models.checkpoint_tiles()) for _ in range(4)]
+
+ print(f"Loading {secondary_model_info.filename}...")
+ theta_1 = sd_models.read_state_dict(secondary_model_info.filename, map_location='cpu')
if theta_func1:
+ print(f"Loading {tertiary_model_info.filename}...")
+ theta_2 = sd_models.read_state_dict(tertiary_model_info.filename, map_location='cpu')
+
for key in tqdm.tqdm(theta_1.keys()):
if 'model' in key:
if key in theta_2:
@@ -277,7 +272,12 @@ def run_modelmerger(primary_model_name, secondary_model_name, teritary_model_nam theta_1[key] = theta_func1(theta_1[key], t2)
else:
theta_1[key] = torch.zeros_like(theta_1[key])
- del theta_2
+ del theta_2
+
+ print(f"Loading {primary_model_info.filename}...")
+ theta_0 = sd_models.read_state_dict(primary_model_info.filename, map_location='cpu')
+
+ print("Merging...")
for key in tqdm.tqdm(theta_0.keys()):
if 'model' in key and key in theta_1:
@@ -307,6 +307,7 @@ def run_modelmerger(primary_model_name, secondary_model_name, teritary_model_nam theta_0[key] = theta_1[key]
if save_as_half:
theta_0[key] = theta_0[key].half()
+ del theta_1
ckpt_dir = shared.cmd_opts.ckpt_dir or sd_models.model_path
@@ -332,5 +333,5 @@ def run_modelmerger(primary_model_name, secondary_model_name, teritary_model_nam sd_models.list_models()
- print(f"Checkpoint saved.")
+ print("Checkpoint saved.")
return ["Checkpoint saved to " + output_modelname] + [gr.Dropdown.update(choices=sd_models.checkpoint_tiles()) for _ in range(4)]
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