Merge branch 'AUTOMATIC1111:master' into fix/alternating-words-emphasis

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catboxanon 2023-01-11 08:58:43 -05:00 committed by GitHub
commit 035f2af050
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6 changed files with 46 additions and 7 deletions

View file

@ -151,6 +151,7 @@ function showGalleryImage() {
e.addEventListener('mousedown', function (evt) {
if(!opts.js_modal_lightbox || evt.button != 0) return;
modalZoomSet(gradioApp().getElementById('modalImage'), opts.js_modal_lightbox_initially_zoomed)
evt.preventDefault()
showModal(evt)
}, true);
}

View file

@ -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()

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@ -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

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@ -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)

View file

@ -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

View file

@ -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,