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https://github.com/invoke-ai/InvokeAI
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working, but needs diffusers PR to be accepted
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parent
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111
scripts/merge_fe.py
Normal file → Executable file
111
scripts/merge_fe.py
Normal file → Executable file
@ -3,15 +3,17 @@
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import npyscreen
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import os
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import sys
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import re
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import shutil
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import traceback
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import argparse
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from ldm.invoke.globals import Globals, global_set_root
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import safetensors.torch
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from ldm.invoke.globals import Globals, global_set_root, global_cache_dir
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from ldm.invoke.model_manager import ModelManager
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from omegaconf import OmegaConf
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from pathlib import Path
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from typing import List
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CONFIG_FILE = None
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class FloatSlider(npyscreen.Slider):
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# this is supposed to adjust display precision, but doesn't
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def translate_value(self):
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@ -30,6 +32,14 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
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'inv_sigmoid',
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'add_difference']
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def __init__(self, parentApp, name):
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self.parentApp = parentApp
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super().__init__(parentApp, name)
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@property
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def model_manager(self):
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return self.parentApp.model_manager
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def afterEditing(self):
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self.parentApp.setNextForm(None)
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@ -83,6 +93,11 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
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lowest=0,
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value=0.5,
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)
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self.force = self.add_widget_intelligent(
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npyscreen.Checkbox,
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name='Force merge of incompatible models',
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value=False,
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)
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self.merged_model_name = self.add_widget_intelligent(
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npyscreen.TitleText,
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name='Name for merged model',
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@ -108,17 +123,44 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
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if self.validate_field_values():
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self.parentApp.setNextForm(None)
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self.editing = False
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self.parentApp.merge_arguments = self.marshall_arguments()
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npyscreen.notify('Starting the merge...')
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import diffusers # this keeps the message up while diffusers loads
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else:
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self.editing = True
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def ok_cancel(self):
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sys.exit(0)
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def marshall_arguments(self)->dict:
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model_names = self.model_names
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models = [
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model_names[self.model1.value[0]],
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model_names[self.model2.value[0]],
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]
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if self.model3.value[0] > 0:
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models.append(model_names[self.model3.value[0]-1])
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models = [self.model_manager.model_name_or_path(x) for x in models]
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args = dict(
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pretrained_model_name_or_path_list=models,
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alpha = self.alpha.value,
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interp = self.interpolations[self.merge_method.value[0]],
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force = self.force.value,
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cache_dir = global_cache_dir('diffusers'),
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merged_model_name = self.merged_model_name.value,
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)
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return args
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def validate_field_values(self)->bool:
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bad_fields = []
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selected_models = set((self.model1.value[0],self.model2.value[0],self.model3.value[0]))
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if len(selected_models) < 3:
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bad_fields.append('Please select two or three DIFFERENT models to compare')
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model_names = self.model_names
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selected_models = set((model_names[self.model1.value[0]],model_names[self.model2.value[0]]))
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if self.model3.value[0] > 0:
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selected_models.add(model_names[self.model3.value[0]-1])
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if len(selected_models) < 2:
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bad_fields.append(f'Please select two or three DIFFERENT models to compare. You selected {selected_models}')
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if len(bad_fields) > 0:
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message = 'The following problems were detected and must be corrected:'
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for problem in bad_fields:
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@ -129,13 +171,15 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
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return True
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def get_model_names(self)->List[str]:
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conf = OmegaConf.load(os.path.join(Globals.root,'configs/models.yaml'))
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model_names = [name for name in conf.keys() if conf[name].get('format',None)=='diffusers']
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model_names = [name for name in self.model_manager.model_names() if self.model_manager.model_info(name).get('format') == 'diffusers']
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print(model_names)
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return sorted(model_names)
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class MyApplication(npyscreen.NPSAppManaged):
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class Mergeapp(npyscreen.NPSAppManaged):
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def __init__(self):
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super().__init__()
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conf = OmegaConf.load(Path(Globals.root) / 'configs' / 'models.yaml')
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self.model_manager = ModelManager(conf,'cpu','float16') # precision doesn't really matter here
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def onStart(self):
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npyscreen.setTheme(npyscreen.Themes.DefaultTheme)
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@ -151,6 +195,51 @@ if __name__ == '__main__':
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)
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args = parser.parse_args()
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global_set_root(args.root_dir)
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CONFIG_FILE = os.path.join(Globals.root,'configs/models.yaml')
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os.environ['HF_HOME'] = str(global_cache_dir('diffusers'))
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mergeapp = Mergeapp()
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mergeapp.run()
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from diffusers import DiffusionPipeline
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args = mergeapp.merge_arguments
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merged_model_name = args['merged_model_name']
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merged_pipe = None
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print(args)
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try:
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print(f'DEBUG: {args["pretrained_model_name_or_path_list"][0]}')
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pipe = DiffusionPipeline.from_pretrained(args['pretrained_model_name_or_path_list'][0],
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custom_pipeline='checkpoint_merger'
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)
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merged_pipe = pipe.merge(**args)
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dump_path = Path(Globals.root) / 'models' / 'merged_diffusers'
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os.makedirs(dump_path,exist_ok=True)
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dump_path = dump_path / merged_model_name
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merged_pipe.save_pretrained (
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dump_path,
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safe_serialization=1
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)
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except Exception as e:
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print(f'** An error occurred while merging the pipelines: {str(e)}')
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print('** DETAILS:')
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print(traceback.format_exc())
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sys.exit(-1)
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print(f'>> Merged model is saved to {dump_path}')
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response = input('Import this model into InvokeAI? [y]').strip() or 'y'
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if response.startswith(('y','Y')):
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try:
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mergeapp.model_manager.import_diffuser_model(
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dump_path,
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model_name = merged_model_name,
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description = f'Merge of models {args["pretrained_model_name_or_path_list"]}'
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)
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mergeapp.model_manager.commit(CONFIG_FILE)
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print('>> Merged model imported.')
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except Exception as e:
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print(f'** New model could not be committed to config.yaml: {str(e)}')
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print('** DETAILS:')
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print(traceback.format_exc())
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myapplication = MyApplication()
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myapplication.run()
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