Merge branch 'AUTOMATIC1111:master' into fix/alternating-words-emphasis
This commit is contained in:
commit
035f2af050
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@ -151,6 +151,7 @@ function showGalleryImage() {
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e.addEventListener('mousedown', function (evt) {
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if(!opts.js_modal_lightbox || evt.button != 0) return;
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modalZoomSet(gradioApp().getElementById('modalImage'), opts.js_modal_lightbox_initially_zoomed)
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evt.preventDefault()
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showModal(evt)
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}, true);
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}
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@ -3,6 +3,7 @@ import math
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import os
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import sys
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import traceback
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import shutil
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import numpy as np
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from PIL import Image
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@ -248,7 +249,32 @@ def run_pnginfo(image):
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return '', geninfo, info
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def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format):
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def create_config(ckpt_result, config_source, a, b, c):
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def config(x):
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return sd_models.find_checkpoint_config(x) if x else None
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if config_source == 0:
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cfg = config(a) or config(b) or config(c)
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elif config_source == 1:
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cfg = config(b)
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elif config_source == 2:
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cfg = config(c)
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else:
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cfg = None
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if cfg is None:
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return
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filename, _ = os.path.splitext(ckpt_result)
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checkpoint_filename = filename + ".yaml"
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print("Copying config:")
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print(" from:", cfg)
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print(" to:", checkpoint_filename)
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shutil.copyfile(cfg, checkpoint_filename)
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def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_name, interp_method, multiplier, save_as_half, custom_name, checkpoint_format, config_source):
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shared.state.begin()
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shared.state.job = 'model-merge'
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@ -356,6 +382,8 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
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sd_models.list_models()
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create_config(output_modelname, config_source, primary_model_info, secondary_model_info, tertiary_model_info)
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print("Checkpoint saved.")
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shared.state.textinfo = "Checkpoint saved to " + output_modelname
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shared.state.end()
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@ -152,7 +152,7 @@ def basedir():
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scripts_data = []
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ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path"])
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ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir"])
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ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir", "module"])
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def list_scripts(scriptdirname, extension):
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@ -206,7 +206,7 @@ def load_scripts():
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for key, script_class in module.__dict__.items():
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if type(script_class) == type and issubclass(script_class, Script):
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scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir))
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scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir, module))
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except Exception:
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print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
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@ -241,7 +241,7 @@ class ScriptRunner:
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self.alwayson_scripts.clear()
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self.selectable_scripts.clear()
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for script_class, path, basedir in scripts_data:
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for script_class, path, basedir, script_module in scripts_data:
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script = script_class()
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script.filename = path
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script.is_txt2img = not is_img2img
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@ -333,10 +333,14 @@ def load_model(checkpoint_info=None):
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timer = Timer()
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sd_model = None
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try:
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with sd_disable_initialization.DisableInitialization():
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sd_model = instantiate_from_config(sd_config.model)
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except Exception as e:
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pass
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if sd_model is None:
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print('Failed to create model quickly; will retry using slow method.', file=sys.stderr)
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sd_model = instantiate_from_config(sd_config.model)
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@ -9,6 +9,7 @@ import tqdm
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import html
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import datetime
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import csv
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import safetensors.torch
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from PIL import Image, PngImagePlugin
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@ -150,6 +151,8 @@ class EmbeddingDatabase:
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name = data.get('name', name)
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elif ext in ['.BIN', '.PT']:
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data = torch.load(path, map_location="cpu")
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elif ext in ['.SAFETENSORS']:
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data = safetensors.torch.load_file(path, device="cpu")
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else:
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return
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@ -1129,7 +1129,7 @@ def create_ui():
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with gr.Column(variant='panel'):
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gr.HTML(value="<p>A merger of the two checkpoints will be generated in your <b>checkpoint</b> directory.</p>")
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with gr.Row():
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with FormRow():
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primary_model_name = gr.Dropdown(modules.sd_models.checkpoint_tiles(), elem_id="modelmerger_primary_model_name", label="Primary model (A)")
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create_refresh_button(primary_model_name, modules.sd_models.list_models, lambda: {"choices": modules.sd_models.checkpoint_tiles()}, "refresh_checkpoint_A")
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@ -1143,11 +1143,13 @@ def create_ui():
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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")
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interp_method = gr.Radio(choices=["Weighted sum", "Add difference"], value="Weighted sum", label="Interpolation Method", elem_id="modelmerger_interp_method")
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with gr.Row():
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with FormRow():
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checkpoint_format = gr.Radio(choices=["ckpt", "safetensors"], value="ckpt", label="Checkpoint format", elem_id="modelmerger_checkpoint_format")
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save_as_half = gr.Checkbox(value=False, label="Save as float16", elem_id="modelmerger_save_as_half")
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modelmerger_merge = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
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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")
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modelmerger_merge = gr.Button(elem_id="modelmerger_merge", value="Merge", variant='primary')
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with gr.Column(variant='panel'):
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submit_result = gr.Textbox(elem_id="modelmerger_result", show_label=False)
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@ -1703,6 +1705,7 @@ def create_ui():
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save_as_half,
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custom_name,
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checkpoint_format,
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config_source,
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],
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outputs=[
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submit_result,
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