Merge pull request #1066 from moorehousew/master
Add support for checkpoint merging
This commit is contained in:
commit
a9dc307a21
3 changed files with 70 additions and 2 deletions
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@ -3,6 +3,8 @@ import os
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import numpy as np
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from PIL import Image
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import torch
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from modules import processing, shared, images, devices
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from modules.shared import opts
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import modules.gfpgan_model
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@ -135,3 +137,40 @@ def run_pnginfo(image):
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info = f"<div><p>{message}<p></div>"
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return '', geninfo, info
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def run_modelmerger(modelname_0, modelname_1, interp_method, interp_amount):
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# Linear interpolation (https://en.wikipedia.org/wiki/Linear_interpolation)
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def weighted_sum(theta0, theta1, alpha):
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return ((1 - alpha) * theta0) + (alpha * theta1)
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# Smoothstep (https://en.wikipedia.org/wiki/Smoothstep)
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def sigmoid(theta0, theta1, alpha):
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alpha = alpha * alpha * (3 - (2 * alpha))
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return theta0 + ((theta1 - theta0) * alpha)
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model_0 = torch.load('models/' + modelname_0 + '.ckpt')
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model_1 = torch.load('models/' + modelname_1 + '.ckpt')
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theta_0 = model_0['state_dict']
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theta_1 = model_1['state_dict']
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theta_func = weighted_sum
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if interp_method == "Weighted Sum":
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theta_func = weighted_sum
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if interp_method == "Sigmoid":
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theta_func = sigmoid
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for key in theta_0.keys():
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if 'model' in key and key in theta_1:
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theta_0[key] = theta_func(theta_0[key], theta_1[key], interp_amount)
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for key in theta_1.keys():
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if 'model' in key and key not in theta_0:
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theta_0[key] = theta_1[key]
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output_modelname = 'models/' + modelname_0 + '-' + modelname_1 + '-merged.ckpt';
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torch.save(model_0, output_modelname)
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return "<p>Model saved to " + output_modelname + "</p>"
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@ -393,7 +393,7 @@ def setup_progressbar(progressbar, preview, id_part):
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)
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def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger):
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with gr.Blocks(analytics_enabled=False) as txt2img_interface:
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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)
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dummy_component = gr.Label(visible=False)
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@ -853,6 +853,33 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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outputs=[html, generation_info, html2],
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)
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with gr.Blocks() as modelmerger_interface:
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with gr.Row().style(equal_height=False):
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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>/models</b> directory.</p>")
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modelname_0 = gr.Textbox(elem_id="modelmerger_modelname_0", label="Model Name (to)")
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modelname_1 = gr.Textbox(elem_id="modelmerger_modelname_1", label="Model Name (from)")
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interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid"], value="Weighted Sum", label="Interpolation Method")
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interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Interpolation Amount', value=0.3)
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submit = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary')
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with gr.Column(variant='panel'):
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submit_result = gr.HTML(elem_id="modelmerger_result")
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submit.click(
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fn=run_modelmerger,
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inputs=[
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modelname_0,
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modelname_1,
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interp_method,
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interp_amount
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],
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outputs=[
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submit_result,
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]
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)
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def create_setting_component(key):
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def fun():
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return opts.data[key] if key in opts.data else opts.data_labels[key].default
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@ -950,6 +977,7 @@ def create_ui(txt2img, img2img, run_extras, run_pnginfo):
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(img2img_interface, "img2img", "img2img"),
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(extras_interface, "Extras", "extras"),
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(pnginfo_interface, "PNG Info", "pnginfo"),
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(modelmerger_interface, "Checkpoint Merger", "modelmerger"),
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(settings_interface, "Settings", "settings"),
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]
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3
webui.py
3
webui.py
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@ -85,7 +85,8 @@ def webui():
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txt2img=wrap_gradio_gpu_call(modules.txt2img.txt2img),
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img2img=wrap_gradio_gpu_call(modules.img2img.img2img),
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run_extras=wrap_gradio_gpu_call(modules.extras.run_extras),
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run_pnginfo=modules.extras.run_pnginfo
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run_pnginfo=modules.extras.run_pnginfo,
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run_modelmerger=modules.extras.run_modelmerger
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)
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demo.launch(
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