diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/extras.py | 30 | ||||
| -rw-r--r-- | modules/scripts.py | 6 | ||||
| -rw-r--r-- | modules/sd_models.py | 4 | ||||
| -rw-r--r-- | modules/textual_inversion/textual_inversion.py | 3 | ||||
| -rw-r--r-- | modules/ui.py | 9 |
5 files changed, 45 insertions, 7 deletions
diff --git a/modules/extras.py b/modules/extras.py index 7407bfe3..a03d558e 100644 --- a/modules/extras.py +++ b/modules/extras.py @@ -3,6 +3,7 @@ import math import os
import sys
import traceback
+import shutil
import numpy as np
from PIL import Image
@@ -248,7 +249,32 @@ def run_pnginfo(image): return '', geninfo, info
-def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format):
+def create_config(ckpt_result, config_source, a, b, c):
+ def config(x):
+ return sd_models.find_checkpoint_config(x) if x else None
+
+ if config_source == 0:
+ cfg = config(a) or config(b) or config(c)
+ elif config_source == 1:
+ cfg = config(b)
+ elif config_source == 2:
+ cfg = config(c)
+ else:
+ cfg = None
+
+ if cfg is None:
+ return
+
+ filename, _ = os.path.splitext(ckpt_result)
+ checkpoint_filename = filename + ".yaml"
+
+ print("Copying config:")
+ print(" from:", cfg)
+ print(" to:", checkpoint_filename)
+ shutil.copyfile(cfg, checkpoint_filename)
+
+
+def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format, config_source):
shared.state.begin()
shared.state.job = 'model-merge'
@@ -356,6 +382,8 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam sd_models.list_models()
+ create_config(output_modelname, config_source, primary_model_info, secondary_model_info, tertiary_model_info)
+
print("Checkpoint saved.")
shared.state.textinfo = "Checkpoint saved to " + output_modelname
shared.state.end()
diff --git a/modules/scripts.py b/modules/scripts.py index 35164093..4ffc369b 100644 --- a/modules/scripts.py +++ b/modules/scripts.py @@ -152,7 +152,7 @@ def basedir(): scripts_data = []
ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path"])
-ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir"])
+ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir", "module"])
def list_scripts(scriptdirname, extension):
@@ -206,7 +206,7 @@ def load_scripts(): for key, script_class in module.__dict__.items():
if type(script_class) == type and issubclass(script_class, Script):
- scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir))
+ scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir, module))
except Exception:
print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
@@ -241,7 +241,7 @@ class ScriptRunner: self.alwayson_scripts.clear()
self.selectable_scripts.clear()
- for script_class, path, basedir in scripts_data:
+ for script_class, path, basedir, script_module in scripts_data:
script = script_class()
script.filename = path
script.is_txt2img = not is_img2img
diff --git a/modules/sd_models.py b/modules/sd_models.py index b5bc12f0..084ba7fa 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -333,10 +333,14 @@ def load_model(checkpoint_info=None): timer = Timer()
+ sd_model = None
try:
with sd_disable_initialization.DisableInitialization():
sd_model = instantiate_from_config(sd_config.model)
except Exception as e:
+ pass
+
+ if sd_model is None:
print('Failed to create model quickly; will retry using slow method.', file=sys.stderr)
sd_model = instantiate_from_config(sd_config.model)
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index 5420903f..3866c154 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -9,6 +9,7 @@ import tqdm import html
import datetime
import csv
+import safetensors.torch
from PIL import Image, PngImagePlugin
@@ -150,6 +151,8 @@ class EmbeddingDatabase: name = data.get('name', name)
elif ext in ['.BIN', '.PT']:
data = torch.load(path, map_location="cpu")
+ elif ext in ['.SAFETENSORS']:
+ data = safetensors.torch.load_file(path, device="cpu")
else:
return
diff --git a/modules/ui.py b/modules/ui.py index 3c458ce8..82f5dd7c 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1129,7 +1129,7 @@ def create_ui(): with gr.Column(variant='panel'):
gr.HTML(value="<p>A merger of the two checkpoints will be generated in your <b>checkpoint</b> directory.</p>")
- with gr.Row():
+ with FormRow():
primary_model_name = gr.Dropdown(modules.sd_models.checkpoint_tiles(), elem_id="modelmerger_primary_model_name", label="Primary model (A)")
create_refresh_button(primary_model_name, modules.sd_models.list_models, lambda: {"choices": modules.sd_models.checkpoint_tiles()}, "refresh_checkpoint_A")
@@ -1143,11 +1143,13 @@ def create_ui(): interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Multiplier (M) - set to 0 to get model A', value=0.3, elem_id="modelmerger_interp_amount")
interp_method = gr.Radio(choices=["Weighted sum", "Add difference"], value="Weighted sum", label="Interpolation Method", elem_id="modelmerger_interp_method")
- with gr.Row():
+ with FormRow():
checkpoint_format = gr.Radio(choices=["ckpt", "safetensors"], value="ckpt", label="Checkpoint format", elem_id="modelmerger_checkpoint_format")
save_as_half = gr.Checkbox(value=False, label="Save as float16", elem_id="modelmerger_save_as_half")
- modelmerger_merge = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
+ config_source = gr.Radio(choices=["A, B or C", "B", "C", "Don't"], value="A, B or C", label="Copy config from", type="index", elem_id="modelmerger_config_method")
+
+ modelmerger_merge = gr.Button(elem_id="modelmerger_merge", value="Merge", variant='primary')
with gr.Column(variant='panel'):
submit_result = gr.Textbox(elem_id="modelmerger_result", show_label=False)
@@ -1703,6 +1705,7 @@ def create_ui(): save_as_half,
custom_name,
checkpoint_format,
+ config_source,
],
outputs=[
submit_result,
|