Merge pull request #1066 from moorehousew/master

Add support for checkpoint merging
This commit is contained in:
AUTOMATIC1111 2022-09-27 09:59:37 +03:00 committed by GitHub
commit a9dc307a21
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 70 additions and 2 deletions

View File

@ -3,6 +3,8 @@ import os
import numpy as np
from PIL import Image
import torch
from modules import processing, shared, images, devices
from modules.shared import opts
import modules.gfpgan_model
@ -135,3 +137,40 @@ def run_pnginfo(image):
info = f"<div><p>{message}<p></div>"
return '', geninfo, info
def run_modelmerger(modelname_0, modelname_1, interp_method, interp_amount):
# Linear interpolation (https://en.wikipedia.org/wiki/Linear_interpolation)
def weighted_sum(theta0, theta1, alpha):
return ((1 - alpha) * theta0) + (alpha * theta1)
# Smoothstep (https://en.wikipedia.org/wiki/Smoothstep)
def sigmoid(theta0, theta1, alpha):
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')
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():
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';
torch.save(model_0, output_modelname)
return "<p>Model saved to " + output_modelname + "</p>"

View File

@ -393,7 +393,7 @@ def setup_progressbar(progressbar, preview, id_part):
)
def create_ui(txt2img, img2img, run_extras, run_pnginfo):
def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, txt2img_prompt_style_apply, txt2img_save_style, paste = create_toprow(is_img2img=False)
dummy_component = gr.Label(visible=False)
@ -853,6 +853,33 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
outputs=[html, generation_info, html2],
)
with gr.Blocks() as modelmerger_interface:
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
gr.HTML(value="<p>A merger of the two checkpoints will be generated in your <b>/models</b> directory.</p>")
modelname_0 = gr.Textbox(elem_id="modelmerger_modelname_0", label="Model Name (to)")
modelname_1 = gr.Textbox(elem_id="modelmerger_modelname_1", label="Model Name (from)")
interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid"], value="Weighted Sum", label="Interpolation Method")
interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Interpolation Amount', value=0.3)
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.click(
fn=run_modelmerger,
inputs=[
modelname_0,
modelname_1,
interp_method,
interp_amount
],
outputs=[
submit_result,
]
)
def create_setting_component(key):
def fun():
return opts.data[key] if key in opts.data else opts.data_labels[key].default
@ -950,6 +977,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
(img2img_interface, "img2img", "img2img"),
(extras_interface, "Extras", "extras"),
(pnginfo_interface, "PNG Info", "pnginfo"),
(modelmerger_interface, "Checkpoint Merger", "modelmerger"),
(settings_interface, "Settings", "settings"),
]

View File

@ -85,7 +85,8 @@ def webui():
txt2img=wrap_gradio_gpu_call(modules.txt2img.txt2img),
img2img=wrap_gradio_gpu_call(modules.img2img.img2img),
run_extras=wrap_gradio_gpu_call(modules.extras.run_extras),
run_pnginfo=modules.extras.run_pnginfo
run_pnginfo=modules.extras.run_pnginfo,
run_modelmerger=modules.extras.run_modelmerger
)
demo.launch(