michael/stable-diffusion-webui
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

added console outputs, more clear indication of progress, and ability to specify full filename to checkpoint merger

Browse source 
restore "Loading..." text
This commit is contained in:
AUTOMATIC 2022-09-27 10:44:00 +03:00
parent a9dc307a21
commit ada901ed66
2 changed files with 35 additions and 16 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

48
modules/extras.py
View file

@ -4,6 +4,7 @@ import numpy as np
from PIL import Image
import torch
import tqdm
from modules import processing, shared, images, devices
from modules.shared import opts
@ -149,28 +150,45 @@ def run_modelmerger(modelname_0, modelname_1, interp_method, interp_amount):
alpha = alpha * alpha * (3 - (2 * alpha))
return theta0 + ((theta1 - theta0) * alpha)
model_0 = torch.load('models/' + modelname_0 + '.ckpt')
model_1 = torch.load('models/' + modelname_1 + '.ckpt')
if os.path.exists(modelname_0):
model0_filename = modelname_0
modelname_0 = os.path.splitext(os.path.basename(modelname_0))[0]
else:
model0_filename = 'models/' + modelname_0 + '.ckpt'
if os.path.exists(modelname_1):
model1_filename = modelname_1
modelname_1 = os.path.splitext(os.path.basename(modelname_1))[0]
else:
model1_filename = 'models/' + modelname_1 + '.ckpt'
print(f"Loading {model0_filename}...")
model_0 = torch.load(model0_filename, map_location='cpu')
print(f"Loading {model1_filename}...")
model_1 = torch.load(model1_filename, map_location='cpu')
theta_0 = model_0['state_dict']
theta_1 = model_1['state_dict']
theta_func = weighted_sum
if interp_method == "Weighted Sum":
theta_func = weighted_sum
if interp_method == "Sigmoid":
theta_func = sigmoid
for key in theta_0.keys():
theta_funcs = {
"Weighted Sum": weighted_sum,
"Sigmoid": sigmoid,
}
theta_func = theta_funcs[interp_method]
print(f"Merging...")
for key in tqdm.tqdm(theta_0.keys()):
if 'model' in key and key in theta_1:
theta_0[key] = theta_func(theta_0[key], theta_1[key], interp_amount)
for key in theta_1.keys():
if 'model' in key and key not in theta_0:
theta_0[key] = theta_1[key]
output_modelname = 'models/' + modelname_0 + '-' + modelname_1 + '-merged.ckpt';
output_modelname = 'models/' + modelname_0 + '-' + modelname_1 + '-merged.ckpt'
print(f"Saving to {output_modelname}...")
torch.save(model_0, output_modelname)
return "<p>Model saved to " + output_modelname + "</p>"
print(f"Checkpoint saved.")
return "Checkpoint saved to " + output_modelname

3
modules/ui.py
View file

@ -49,6 +49,7 @@ sample_img2img = sample_img2img if os.path.exists(sample_img2img) else None
css_hide_progressbar = """
.wrap .m-12 svg { display:none!important; }
.wrap .m-12::before { content:"Loading..." }
.progress-bar { display:none!important; }
.meta-text { display:none!important; }
"""
@ -865,7 +866,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
submit = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
with gr.Column(variant='panel'):
submit_result = gr.HTML(elem_id="modelmerger_result")
submit_result = gr.Textbox(elem_id="modelmerger_result", show_label=False)
submit.click(
fn=run_modelmerger,