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https://github.com/sd-webui/stable-diffusion-webui.git
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84 lines
2.1 KiB
Python
84 lines
2.1 KiB
Python
import torch
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import tkinter as tk
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window = tk.Tk()
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window.title(string="Model Merger")
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tk.Label(text="Model Merger", font=("Arial", 25)).pack()
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tk.Label(text="GUI by antrobot1234").pack()
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frame1 = tk.Frame()
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frame2 = tk.Frame()
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frame3 = tk.Frame()
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frameSlider = tk.Frame()
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frameButton = tk.Frame()
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tk.Label(frame1, text="File 1:").pack(side="left")
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file1text = tk.Entry(frame1, width=40)
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file1text.pack(side="left")
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tk.Label(frame2, text="File 2:").pack(side="left")
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file2text = tk.Entry(frame2, width=40)
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file2text.pack(side="left")
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tk.Label(frame3, text="File Out:").pack(side="left")
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fileOtext = tk.Entry(frame3, width=38)
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fileOtext.pack(side="left")
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tk.Label(frameSlider, text="Weight of file 1").pack(side="left")
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scale = tk.Scale(
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frameSlider, from_=0, to=100, orient="horizontal", tickinterval=10, length=450
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)
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scale.pack(side="left")
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goButton = tk.Button(frameButton, text="RUN", height=2, width=20, bg="green")
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def merge(file1, file2, out, a):
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alpha = (a) / 100
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if not (file1.endswith(".ckpt")):
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file1 += ".ckpt"
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if not (file2.endswith(".ckpt")):
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file2 += ".ckpt"
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if not (out.endswith(".ckpt")):
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out += ".ckpt"
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# Load Models
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model_0 = torch.load(file1)
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model_1 = torch.load(file2)
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theta_0 = model_0["state_dict"]
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theta_1 = model_1["state_dict"]
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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] = (alpha) * theta_0[key] + (1 - alpha) * theta_1[key]
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goButton.config(bg="red", text="RUNNING...\n(STAGE 2)")
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window.update()
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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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torch.save(model_0, out)
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def handleClick(event):
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goButton.config(bg="red", text="RUNNING...\n(STAGE 1)")
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window.update()
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merge(file1text.get(), file2text.get(), fileOtext.get(), scale.get())
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goButton.config(bg="green", text="RUN")
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goButton.pack()
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goButton.bind("<Button-1>", handleClick)
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frame1.pack()
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frame2.pack()
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frame3.pack()
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frameSlider.pack()
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frameButton.pack()
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window.mainloop()
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