Notebooks for RNPD-SD and LoRA
Browse files- Notebooks/RNPD-SD.ipynb +162 -0
- Notebooks/SDXL-LoRA-RNPD.ipynb +281 -0
Notebooks/RNPD-SD.ipynb
ADDED
@@ -0,0 +1,162 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "markdown",
|
5 |
+
"metadata": {},
|
6 |
+
"source": [
|
7 |
+
"# Dependencies"
|
8 |
+
]
|
9 |
+
},
|
10 |
+
{
|
11 |
+
"cell_type": "code",
|
12 |
+
"execution_count": null,
|
13 |
+
"metadata": {},
|
14 |
+
"outputs": [],
|
15 |
+
"source": [
|
16 |
+
"# Install the dependencies\n",
|
17 |
+
"\n",
|
18 |
+
"force_reinstall= False\n",
|
19 |
+
"\n",
|
20 |
+
"# Set to true only if you want to install the dependencies again.\n",
|
21 |
+
"\n",
|
22 |
+
"#--------------------\n",
|
23 |
+
"with open('/dev/null', 'w') as devnull:import requests, os, time, importlib;open('/workspace/runpod_server.py', 'wb').write(requests.get('https://huggingface.co/datasets/TheLastBen/RNPD/raw/main/Scripts/mainrunpodA1111.py').content);os.chdir('/workspace');time.sleep(2);import mainrunpodA1111;importlib.reload(mainrunpodA1111);from mainrunpodA1111 import *;Deps(force_reinstall)"
|
24 |
+
]
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"cell_type": "markdown",
|
28 |
+
"metadata": {},
|
29 |
+
"source": [
|
30 |
+
"# Install/Update AUTOMATIC1111 repo"
|
31 |
+
]
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"cell_type": "code",
|
35 |
+
"execution_count": null,
|
36 |
+
"metadata": {},
|
37 |
+
"outputs": [],
|
38 |
+
"source": [
|
39 |
+
"Huggingface_token_optional=\"\"\n",
|
40 |
+
"\n",
|
41 |
+
"# Restore your backed-up SD folder by entering your huggingface token, leave it empty to start fresh or continue with the existing sd folder (if any).\n",
|
42 |
+
"\n",
|
43 |
+
"#--------------------\n",
|
44 |
+
"repo(Huggingface_token_optional)"
|
45 |
+
]
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"cell_type": "markdown",
|
49 |
+
"metadata": {},
|
50 |
+
"source": [
|
51 |
+
"# Model Download/Load"
|
52 |
+
]
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"cell_type": "code",
|
56 |
+
"execution_count": null,
|
57 |
+
"metadata": {},
|
58 |
+
"outputs": [],
|
59 |
+
"source": [
|
60 |
+
"Original_Model_Version = \"SDXL\"\n",
|
61 |
+
"\n",
|
62 |
+
"# Choices are \"SDXL\", \"v1.5\", \"v2-512\", \"v2-768\"\n",
|
63 |
+
"\n",
|
64 |
+
"#-------------- Or\n",
|
65 |
+
"\n",
|
66 |
+
"Path_to_MODEL = \"\"\n",
|
67 |
+
"\n",
|
68 |
+
"# Insert the full path of your trained model or to a folder containing multiple models.\n",
|
69 |
+
"\n",
|
70 |
+
"\n",
|
71 |
+
"MODEL_LINK = \"\"\n",
|
72 |
+
"\n",
|
73 |
+
"# A direct link to a Model or a shared gdrive link.\n",
|
74 |
+
"\n",
|
75 |
+
"\n",
|
76 |
+
"#--------------------\n",
|
77 |
+
"model=mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK)"
|
78 |
+
]
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"cell_type": "markdown",
|
82 |
+
"metadata": {},
|
83 |
+
"source": [
|
84 |
+
"# LoRA Download"
|
85 |
+
]
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"cell_type": "code",
|
89 |
+
"execution_count": null,
|
90 |
+
"metadata": {},
|
91 |
+
"outputs": [],
|
92 |
+
"source": [
|
93 |
+
"# Download/update ControlNet extension and its models.\n",
|
94 |
+
"\n",
|
95 |
+
"ControlNet_v1_Model = \"all\"\n",
|
96 |
+
"\n",
|
97 |
+
"# Choices are : none; all; 1: Canny; 2: Depth; 3: Lineart; 4: MLSD; 5: Normal; 6: OpenPose; 7: Scribble; 8: Seg; 9: ip2p; 10:Shuffle; 11: Inpaint; 12: Softedge; 13: Lineart_Anime; 14: Tile; 15: T2iadapter_Models\n",
|
98 |
+
"\n",
|
99 |
+
"ControlNet_XL_Model = \"all\"\n",
|
100 |
+
"\n",
|
101 |
+
"# Choices are : none; all; 1: Canny; 2: Depth; 3: Sketch; 4: OpenPose; 5: Recolor\n",
|
102 |
+
"\n",
|
103 |
+
"#--------------------\n",
|
104 |
+
"CNet(ControlNet_v1_Model, ControlNet_XL_Model)"
|
105 |
+
]
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"cell_type": "markdown",
|
109 |
+
"metadata": {},
|
110 |
+
"source": [
|
111 |
+
"# Start Stable-Diffusion"
|
112 |
+
]
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"cell_type": "code",
|
116 |
+
"execution_count": null,
|
117 |
+
"metadata": {},
|
118 |
+
"outputs": [],
|
119 |
+
"source": [
|
120 |
+
"User = \"\"\n",
|
121 |
+
"\n",
|
122 |
+
"Password= \"\"\n",
|
123 |
+
"\n",
|
124 |
+
"# Add credentials to your Gradio interface (optional).\n",
|
125 |
+
"\n",
|
126 |
+
"#-----------------\n",
|
127 |
+
"configf=sd(User, Password, model) if 'model' in locals() else sd(User, Password, \"\");import gradio;gradio.close_all()\n",
|
128 |
+
"!python /workspace/sd/stable-diffusion-webui/webui.py $configf"
|
129 |
+
]
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"cell_type": "markdown",
|
133 |
+
"metadata": {},
|
134 |
+
"source": [
|
135 |
+
"# Backup SD folder"
|
136 |
+
]
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"cell_type": "code",
|
140 |
+
"execution_count": null,
|
141 |
+
"metadata": {},
|
142 |
+
"outputs": [],
|
143 |
+
"source": [
|
144 |
+
"# This will backup your sd folder -without the models- to your huggingface account, so you can restore it whenever you start an instance.\n",
|
145 |
+
"\n",
|
146 |
+
"Huggingface_Write_token=\"\"\n",
|
147 |
+
"\n",
|
148 |
+
"# Must be a WRITE token, get yours here : https://huggingface.co/settings/tokens\n",
|
149 |
+
"\n",
|
150 |
+
"#--------------------\n",
|
151 |
+
"save(Huggingface_Write_token)"
|
152 |
+
]
|
153 |
+
}
|
154 |
+
],
|
155 |
+
"metadata": {
|
156 |
+
"language_info": {
|
157 |
+
"name": "python"
|
158 |
+
}
|
159 |
+
},
|
160 |
+
"nbformat": 4,
|
161 |
+
"nbformat_minor": 2
|
162 |
+
}
|
Notebooks/SDXL-LoRA-RNPD.ipynb
ADDED
@@ -0,0 +1,281 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"# Dependencies"
|
10 |
+
]
|
11 |
+
},
|
12 |
+
{
|
13 |
+
"cell_type": "code",
|
14 |
+
"execution_count": null,
|
15 |
+
"metadata": {},
|
16 |
+
"outputs": [],
|
17 |
+
"source": [
|
18 |
+
"# Install the dependencies\n",
|
19 |
+
"\n",
|
20 |
+
"force_reinstall= False\n",
|
21 |
+
"\n",
|
22 |
+
"# Set to true only if you want to install the dependencies again.\n",
|
23 |
+
"\n",
|
24 |
+
"#--------------------\n",
|
25 |
+
"with open('/dev/null', 'w') as devnull:import requests, os, time, importlib;open('/workspace/sdxllorarunpod.py', 'wb').write(requests.get('https://huggingface.co/datasets/TheLastBen/RNPD/raw/main/Scripts/sdxllorarunpod.py').content);os.chdir('/workspace');import sdxllorarunpod;importlib.reload(sdxllorarunpod);from sdxllorarunpod import *;restored=False;restoreda=False;Deps(force_reinstall)"
|
26 |
+
]
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"cell_type": "markdown",
|
30 |
+
"metadata": {},
|
31 |
+
"source": [
|
32 |
+
"# Download the model"
|
33 |
+
]
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"cell_type": "code",
|
37 |
+
"execution_count": null,
|
38 |
+
"metadata": {},
|
39 |
+
"outputs": [],
|
40 |
+
"source": [
|
41 |
+
"# Run the cell to download the model\n",
|
42 |
+
"\n",
|
43 |
+
"#-------------\n",
|
44 |
+
"MODEL_NAMExl=dls_xlf(\"\", \"\", \"\")"
|
45 |
+
]
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"cell_type": "markdown",
|
49 |
+
"metadata": {},
|
50 |
+
"source": [
|
51 |
+
"# Create/Load a Session"
|
52 |
+
]
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"cell_type": "code",
|
56 |
+
"execution_count": null,
|
57 |
+
"metadata": {},
|
58 |
+
"outputs": [],
|
59 |
+
"source": [
|
60 |
+
"Session_Name = \"Example-Session\"\n",
|
61 |
+
"\n",
|
62 |
+
"# Enter the session name, it if it exists, it will load it, otherwise it'll create an new session.\n",
|
63 |
+
"\n",
|
64 |
+
"#-----------------\n",
|
65 |
+
"[WORKSPACE, Session_Name, INSTANCE_NAME, OUTPUT_DIR, SESSION_DIR, INSTANCE_DIR, CAPTIONS_DIR, MDLPTH, MODEL_NAMExl]=sess_xl(Session_Name, MODEL_NAMExl if 'MODEL_NAMExl' in locals() else \"\")"
|
66 |
+
]
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"cell_type": "markdown",
|
70 |
+
"metadata": {},
|
71 |
+
"source": [
|
72 |
+
"# Instance Images\n",
|
73 |
+
"The most important step is to rename the instance pictures to one unique unknown identifier"
|
74 |
+
]
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"cell_type": "code",
|
78 |
+
"execution_count": null,
|
79 |
+
"metadata": {},
|
80 |
+
"outputs": [],
|
81 |
+
"source": [
|
82 |
+
"Remove_existing_instance_images= True\n",
|
83 |
+
"\n",
|
84 |
+
"# Set to False to keep the existing instance images if any.\n",
|
85 |
+
"\n",
|
86 |
+
"\n",
|
87 |
+
"IMAGES_FOLDER_OPTIONAL= \"\"\n",
|
88 |
+
"\n",
|
89 |
+
"# If you prefer to specify directly the folder of the pictures instead of uploading, this will add the pictures to the existing (if any) instance images. Leave EMPTY to upload.\n",
|
90 |
+
"\n",
|
91 |
+
"\n",
|
92 |
+
"Smart_crop_images = True\n",
|
93 |
+
"\n",
|
94 |
+
"# Automatically crop your input images.\n",
|
95 |
+
"\n",
|
96 |
+
"Crop_size = 1024\n",
|
97 |
+
"\n",
|
98 |
+
"# 1024 is the native resolution\n",
|
99 |
+
"\n",
|
100 |
+
"\n",
|
101 |
+
"#--------------------------------------------\n",
|
102 |
+
"\n",
|
103 |
+
"# Disabled when \"Smart_crop_images\" is set to \"True\"\n",
|
104 |
+
"\n",
|
105 |
+
"Resize_to_1024_and_keep_aspect_ratio = False\n",
|
106 |
+
"\n",
|
107 |
+
"# Will resize the smallest dimension to 1024 without cropping while keeping the aspect ratio (make sure you have enough VRAM)\n",
|
108 |
+
"\n",
|
109 |
+
"\n",
|
110 |
+
"# Check out this example for naming : https://i.imgur.com/d2lD3rz.jpeg\n",
|
111 |
+
"\n",
|
112 |
+
"#-----------------\n",
|
113 |
+
"uplder(Remove_existing_instance_images, Smart_crop_images, Crop_size, Resize_to_1024_and_keep_aspect_ratio, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR)"
|
114 |
+
]
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"cell_type": "markdown",
|
118 |
+
"metadata": {},
|
119 |
+
"source": [
|
120 |
+
"# Manual Captioning"
|
121 |
+
]
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"cell_type": "code",
|
125 |
+
"execution_count": null,
|
126 |
+
"metadata": {},
|
127 |
+
"outputs": [],
|
128 |
+
"source": [
|
129 |
+
"# Open a tool to manually caption the instance images.\n",
|
130 |
+
"\n",
|
131 |
+
"#-----------------\n",
|
132 |
+
"caption(CAPTIONS_DIR, INSTANCE_DIR)"
|
133 |
+
]
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"cell_type": "markdown",
|
137 |
+
"metadata": {},
|
138 |
+
"source": [
|
139 |
+
"# Train LoRA"
|
140 |
+
]
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"cell_type": "code",
|
144 |
+
"execution_count": null,
|
145 |
+
"metadata": {},
|
146 |
+
"outputs": [],
|
147 |
+
"source": [
|
148 |
+
"# Training Settings\n",
|
149 |
+
"\n",
|
150 |
+
"# Epoch = Number of steps/images\n",
|
151 |
+
"\n",
|
152 |
+
"\n",
|
153 |
+
"UNet_Training_Epochs= 120\n",
|
154 |
+
"\n",
|
155 |
+
"UNet_Learning_Rate= \"1e-6\"\n",
|
156 |
+
"\n",
|
157 |
+
"# Keep the learning rate between 1e-6 and 3e-6\n",
|
158 |
+
"\n",
|
159 |
+
"\n",
|
160 |
+
"Text_Encoder_Training_Epochs= 40\n",
|
161 |
+
"\n",
|
162 |
+
"# The training is highly affected by this value, a total of 300 steps (not epochs) is enough, set to 0 if enhancing existing concepts\n",
|
163 |
+
"\n",
|
164 |
+
"Text_Encoder_Learning_Rate= \"1e-6\"\n",
|
165 |
+
"\n",
|
166 |
+
"# Keep the learning rate at 1e-6 or lower\n",
|
167 |
+
"\n",
|
168 |
+
"\n",
|
169 |
+
"External_Captions= False\n",
|
170 |
+
"\n",
|
171 |
+
"# Load the captions from a text file for each instance image\n",
|
172 |
+
"\n",
|
173 |
+
"\n",
|
174 |
+
"LoRA_Dim = 64\n",
|
175 |
+
"\n",
|
176 |
+
"# Dimension of the LoRa model, between 64 and 128 is good enough\n",
|
177 |
+
"\n",
|
178 |
+
"\n",
|
179 |
+
"Save_VRAM = False\n",
|
180 |
+
"\n",
|
181 |
+
"# Use as low as 10GB VRAM with Dim = 64\n",
|
182 |
+
"\n",
|
183 |
+
"\n",
|
184 |
+
"Intermediary_Save_Epoch = \"[30,60]\"\n",
|
185 |
+
"\n",
|
186 |
+
"# [30,60] means it will save intermediary models at epoch 30 and epoch 60, you can add as many as you want like [30,60,80,100]\n",
|
187 |
+
"\n",
|
188 |
+
"\n",
|
189 |
+
"#-----------------\n",
|
190 |
+
"dbtrainxl(UNet_Training_Epochs, Text_Encoder_Training_Epochs, UNet_Learning_Rate, Text_Encoder_Learning_Rate, LoRA_Dim, False, 1024, MODEL_NAMExl, SESSION_DIR, INSTANCE_DIR, CAPTIONS_DIR, External_Captions, INSTANCE_NAME, Session_Name, OUTPUT_DIR, 0, Save_VRAM, Intermediary_Save_Epoch)"
|
191 |
+
]
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"cell_type": "markdown",
|
195 |
+
"metadata": {},
|
196 |
+
"source": [
|
197 |
+
"# Test the Trained Model"
|
198 |
+
]
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"cell_type": "markdown",
|
202 |
+
"metadata": {},
|
203 |
+
"source": [
|
204 |
+
"# ComfyUI"
|
205 |
+
]
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"cell_type": "code",
|
209 |
+
"execution_count": null,
|
210 |
+
"metadata": {},
|
211 |
+
"outputs": [],
|
212 |
+
"source": [
|
213 |
+
"Args=\"--listen --port 3000 --preview-method auto\"\n",
|
214 |
+
"\n",
|
215 |
+
"\n",
|
216 |
+
"Huggingface_token_optional= \"\"\n",
|
217 |
+
"\n",
|
218 |
+
"# Restore your backed-up Comfy folder by entering your huggingface token, leave it empty to start fresh or continue with the existing sd folder (if any).\n",
|
219 |
+
"\n",
|
220 |
+
"#--------------------\n",
|
221 |
+
"restored=sdcmff(Huggingface_token_optional, MDLPTH, restored)\n",
|
222 |
+
"!python /workspace/ComfyUI/main.py $Args"
|
223 |
+
]
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"cell_type": "markdown",
|
227 |
+
"metadata": {},
|
228 |
+
"source": [
|
229 |
+
"# A1111"
|
230 |
+
]
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"cell_type": "code",
|
234 |
+
"execution_count": null,
|
235 |
+
"metadata": {},
|
236 |
+
"outputs": [],
|
237 |
+
"source": [
|
238 |
+
"User = \"\"\n",
|
239 |
+
"\n",
|
240 |
+
"Password= \"\"\n",
|
241 |
+
"\n",
|
242 |
+
"# Add credentials to your Gradio interface (optional).\n",
|
243 |
+
"\n",
|
244 |
+
"\n",
|
245 |
+
"Huggingface_token_optional= \"\"\n",
|
246 |
+
"\n",
|
247 |
+
"# Restore your backed-up SD folder by entering your huggingface token, leave it empty to start fresh or continue with the existing sd folder (if any).\n",
|
248 |
+
"\n",
|
249 |
+
"#-----------------\n",
|
250 |
+
"configf, restoreda=test(MDLPTH, User, Password, Huggingface_token_optional, restoreda)\n",
|
251 |
+
"!python /workspace/sd/stable-diffusion-webui/webui.py $configf"
|
252 |
+
]
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"cell_type": "markdown",
|
256 |
+
"metadata": {},
|
257 |
+
"source": [
|
258 |
+
"# Free up space"
|
259 |
+
]
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"cell_type": "code",
|
263 |
+
"execution_count": null,
|
264 |
+
"metadata": {},
|
265 |
+
"outputs": [],
|
266 |
+
"source": [
|
267 |
+
"# Display a list of sessions from which you can remove any session you don't need anymore\n",
|
268 |
+
"\n",
|
269 |
+
"#-------------------------\n",
|
270 |
+
"clean()"
|
271 |
+
]
|
272 |
+
}
|
273 |
+
],
|
274 |
+
"metadata": {
|
275 |
+
"language_info": {
|
276 |
+
"name": "python"
|
277 |
+
}
|
278 |
+
},
|
279 |
+
"nbformat": 4,
|
280 |
+
"nbformat_minor": 2
|
281 |
+
}
|