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Merge pull request #3414 from discus0434/master
[Hypernetworks] Add a feature to use dropout / more activation functions
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@@ -5,19 +5,22 @@ import json
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import math
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import mimetypes
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import os
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import platform
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import random
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import subprocess as sp
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import sys
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import tempfile
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import time
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import traceback
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import platform
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import subprocess as sp
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from functools import partial, reduce
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import gradio as gr
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import gradio.routes
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import gradio.utils
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import numpy as np
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import piexif
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import torch
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from PIL import Image, PngImagePlugin
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import piexif
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import gradio as gr
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import gradio.utils
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@@ -30,17 +33,21 @@ from modules.shared import opts, cmd_opts, restricted_opts
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if cmd_opts.deepdanbooru:
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from modules.deepbooru import get_deepbooru_tags
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import modules.shared as shared
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from modules.sd_samplers import samplers, samplers_for_img2img
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from modules.sd_hijack import model_hijack
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import modules.codeformer_model
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import modules.generation_parameters_copypaste
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import modules.gfpgan_model
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import modules.hypernetworks.ui
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import modules.images_history as img_his
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import modules.ldsr_model
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import modules.scripts
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import modules.gfpgan_model
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import modules.codeformer_model
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import modules.shared as shared
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import modules.styles
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import modules.generation_parameters_copypaste
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import modules.textual_inversion.ui
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from modules import prompt_parser
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from modules.images import save_image
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from modules.sd_hijack import model_hijack
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from modules.sd_samplers import samplers, samplers_for_img2img
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import modules.textual_inversion.ui
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import modules.hypernetworks.ui
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@@ -1233,9 +1240,10 @@ def create_ui(wrap_gradio_gpu_call):
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new_hypernetwork_name = gr.Textbox(label="Name")
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new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
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new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
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new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu", "elu", "swish"])
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new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
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new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
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overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
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new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu"])
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with gr.Row():
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with gr.Column(scale=3):
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@@ -1285,7 +1293,7 @@ def create_ui(wrap_gradio_gpu_call):
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with gr.Row():
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embedding_learn_rate = gr.Textbox(label='Embedding Learning rate', placeholder="Embedding Learning rate", value="0.005")
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hypernetwork_learn_rate = gr.Textbox(label='Hypernetwork Learning rate', placeholder="Hypernetwork Learning rate", value="0.00001")
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batch_size = gr.Number(label='Batch size', value=1, precision=0)
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dataset_directory = gr.Textbox(label='Dataset directory', placeholder="Path to directory with input images")
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log_directory = gr.Textbox(label='Log directory', placeholder="Path to directory where to write outputs", value="textual_inversion")
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@@ -1335,8 +1343,9 @@ def create_ui(wrap_gradio_gpu_call):
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new_hypernetwork_sizes,
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overwrite_old_hypernetwork,
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new_hypernetwork_layer_structure,
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new_hypernetwork_add_layer_norm,
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new_hypernetwork_activation_func,
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new_hypernetwork_add_layer_norm,
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new_hypernetwork_use_dropout
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],
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outputs=[
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train_hypernetwork_name,
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