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mass_compute_v2/control_net_downloader.py ADDED
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1
+ import os
2
+ import subprocess
3
+ import requests
4
+ from tqdm import tqdm
5
+ import math
6
+
7
+ repo_url = "https://github.com/Mikubill/sd-webui-controlnet"
8
+ target_folder = r"stable-diffusion-webui/extensions"
9
+ urls = [
10
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur.safetensors",
11
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur_anime.safetensors",
12
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur_anime_beta.safetensors",
13
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_canny.safetensors",
14
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_depth.safetensors",
15
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_canny.safetensors",
16
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_depth_midas.safetensors",
17
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_depth_zoe.safetensors",
18
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_lineart.safetensors",
19
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_openpose.safetensors",
20
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_sketch.safetensors",
21
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p.pth",
22
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle.pth",
23
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth",
24
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth.pth",
25
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny.pth",
26
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint.pth",
27
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth",
28
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd.pth",
29
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae.pth",
30
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose.pth",
31
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble.pth",
32
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg.pth",
33
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge.pth",
34
+ "https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime.pth",
35
+ "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth",
36
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_canny_full.safetensors",
37
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_depth_full.safetensors",
38
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ioclab_sd15_recolor.safetensors",
39
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ip-adapter_sd15_plus.pth",
40
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ip-adapter_xl.pth",
41
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_canny_anime.safetensors",
42
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_depth_anime.safetensors",
43
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_openpose_anime.safetensors",
44
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_openpose_anime_v2.safetensors",
45
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_scribble_anime.safetensors",
46
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_canny_256lora.safetensors",
47
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_depth_256lora.safetensors",
48
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_recolor_256lora.safetensors",
49
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_sketch_256lora.safetensors",
50
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth.safetensors",
51
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth_faid_vidit.safetensors",
52
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth_zeed.safetensors",
53
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_softedge.safetensors",
54
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_canny.safetensors",
55
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_openpose.safetensors",
56
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_sketch.safetensors",
57
+ "https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/thibaud_xl_openpose.safetensors",
58
+ "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors",
59
+ "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors",
60
+ "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl.bin",
61
+ "https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15.bin"
62
+ ]
63
+
64
+ # Create the target folder if it doesn't exist
65
+ os.makedirs(target_folder, exist_ok=True)
66
+
67
+ # Change the current working directory to the target folder
68
+ os.chdir(target_folder)
69
+
70
+ print("Current Directory:", os.getcwd())
71
+
72
+ # Run the git clone command
73
+ subprocess.run(["git", "clone", repo_url])
74
+
75
+ print("ControlNet cloned successfully.")
76
+
77
+ # Change the current working directory to the cloned repository folder
78
+ repo_name = os.path.basename(repo_url)
79
+
80
+ os.chdir('sd-webui-controlnet')
81
+
82
+ print("Current Directory:", os.getcwd())
83
+ # Run the git clone command
84
+ subprocess.run(["git", "pull", repo_url])
85
+
86
+ print("ControlNet updated successfully.")
87
+
88
+ # Download the files into the models folder
89
+ models_folder = os.path.join(os.getcwd(), "models")
90
+ print("Current Directory:", os.getcwd())
91
+ print("models_folder Directory:", models_folder)
92
+ os.makedirs(models_folder, exist_ok=True)
93
+
94
+ total_files = len(urls)
95
+ downloaded_files = 0
96
+ print(f"Downloaded ({downloaded_files}/{total_files})")
97
+ for url in urls:
98
+ # Extract the filename from the URL
99
+ filename = os.path.basename(url)
100
+
101
+ # Set the path for saving the file
102
+ filepath = os.path.join(models_folder, filename)
103
+
104
+ # Skip downloading if the file already exists and its size matches the expected size
105
+ if os.path.exists(filepath):
106
+ downloaded_files += 1
107
+ print(f"Skipped {filename} Make sure that it was fully Downloaded! ({downloaded_files}/{total_files})")
108
+ continue
109
+
110
+ # Send a GET request to download the file
111
+ response = requests.get(url, stream=True)
112
+
113
+ # Get the total file size in bytes
114
+ total_length = int(response.headers.get("content-length"))
115
+
116
+ # Download the file in chunks and display progress
117
+ with open(filepath, "wb") as file, tqdm(
118
+ desc=f"Downloading {filename}", total=total_length, unit="B", unit_scale=True
119
+ ) as progress_bar:
120
+ for data in response.iter_content(chunk_size=4096):
121
+ file.write(data)
122
+ progress_bar.update(len(data))
123
+
124
+ downloaded_files += 1
125
+ print(f"Downloaded {filename} ({downloaded_files}/{total_files})")
126
+
127
+ print("All files downloaded successfully.")
mass_compute_v2/download_ip_adapter_and_instantid.py ADDED
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1
+ import os
2
+ import requests
3
+ import time
4
+
5
+ def download_file(url, path, filename, retries=9, timeout=120):
6
+ """
7
+ Download a file from a given URL and save it to the specified path with resume support.
8
+
9
+ Parameters:
10
+ - url (str): URL of the file to be downloaded.
11
+ - path (str): Directory where the file will be saved.
12
+ - filename (str): Name of the file to be saved.
13
+ - retries (int): Number of retries if the download fails. Default is 9.
14
+ - timeout (int): Timeout for the download request in seconds. Default is 120.
15
+ """
16
+
17
+ # Create the directory if it does not exist
18
+ os.makedirs(path, exist_ok=True)
19
+
20
+ file_path = os.path.join(path, filename)
21
+ print(f"\nDownloading {filename} to {file_path}")
22
+
23
+ try:
24
+ with requests.get(url, stream=True, timeout=timeout) as response:
25
+ response.raise_for_status()
26
+ total_size = int(response.headers.get('content-length', 0))
27
+ block_size = 2048576 # 2 MB
28
+
29
+ with open(file_path, 'wb') as file:
30
+ start_time = time.time()
31
+ for data in response.iter_content(block_size):
32
+ file.write(data)
33
+ downloaded_size = file.tell()
34
+ elapsed_time = time.time() - start_time
35
+ download_speed = downloaded_size / elapsed_time / 1024 # Speed in KiB/s
36
+
37
+ # Display download progress and speed
38
+ progress = (downloaded_size / total_size) * 100
39
+ print(f"Downloaded {downloaded_size}/{total_size} bytes "
40
+ f"({progress:.2f}%) at {download_speed:.2f} KiB/s", end='\r')
41
+
42
+ print(f"\nDownload completed: {filename}")
43
+ return file_path
44
+
45
+ except requests.RequestException as e:
46
+ if retries > 0:
47
+ print(f"\nError occurred: {e}. Retrying...")
48
+ return download_file(url, path, filename, retries=retries-1, timeout=timeout)
49
+ else:
50
+ print("\nDownload failed after multiple retries.")
51
+ return None
52
+
53
+ # Example usage
54
+ download_file('https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sd15_lora.safetensors',
55
+ 'stable-diffusion-webui/models/Lora',
56
+ 'ip-adapter-faceid-plusv2_sd15_lora.safetensors')
57
+
58
+ download_file('https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid-plusv2_sdxl_lora.safetensors',
59
+ 'stable-diffusion-webui/models/Lora',
60
+ 'ip-adapter-faceid-plusv2_sdxl_lora.safetensors')
61
+
62
+ download_file('https://huggingface.co/InstantX/InstantID/resolve/main/ip-adapter.bin',
63
+ 'stable-diffusion-webui/models/ControlNet',
64
+ 'ip-adapter_instant_id_sdxl.bin')
65
+
66
+ download_file('https://huggingface.co/InstantX/InstantID/resolve/main/ControlNetModel/diffusion_pytorch_model.safetensors',
67
+ 'stable-diffusion-webui/models/ControlNet',
68
+ 'control_instant_id_sdxl.safetensors')
mass_compute_v2/download_models.py ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import platform
3
+ import requests
4
+ import time
5
+ import zipfile
6
+
7
+ def download_file(url, base_path, sub_path, filename, retries=9, timeout=120):
8
+ """
9
+ Download a file from a given URL and save it to the specified path with resume support.
10
+
11
+ Parameters:
12
+ - url (str): URL of the file to be downloaded.
13
+ - base_path (str): Base directory where the file will be saved.
14
+ - sub_path (str): Subdirectory under the base directory where the file will be saved.
15
+ - filename (str): Name of the file to be saved.
16
+ - retries (int): Number of retries if the download fails. Default is 3.
17
+ - timeout (int): Timeout for the download request in seconds. Default is 10.
18
+ """
19
+
20
+ print(f"\nDownloading {filename}!")
21
+ # Construct the full file path using os.path.join
22
+ file_path = os.path.join(base_path, sub_path, filename)
23
+
24
+ downloaded_size = 0
25
+ if os.path.exists(file_path):
26
+ downloaded_size = os.path.getsize(file_path)
27
+
28
+ headers = {}
29
+ if downloaded_size:
30
+ headers['Range'] = f"bytes={downloaded_size}-"
31
+
32
+ try:
33
+ response = requests.get(url, headers=headers, stream=True, timeout=timeout)
34
+ response.raise_for_status()
35
+
36
+ total_size = downloaded_size + int(response.headers.get('content-length', 0))
37
+
38
+ block_size = 2048576 # 1 MB
39
+
40
+ with open(file_path, 'ab') as file:
41
+ start_time = time.time()
42
+ for data in response.iter_content(block_size):
43
+ file.write(data)
44
+
45
+ downloaded_size += len(data)
46
+ elapsed_time = time.time() - start_time
47
+ download_speed = downloaded_size / elapsed_time / 1024 # Speed in KiB/s
48
+
49
+ # Display download progress and speed
50
+ progress = (downloaded_size / total_size) * 100
51
+ print(f"Downloaded {downloaded_size}/{total_size} bytes "
52
+ f"({progress:.2f}%) at {download_speed:.2f} KiB/s", end='\r')
53
+
54
+ print(f"\nDownload completed {filename}!")
55
+ return file_path
56
+
57
+ except requests.RequestException as e:
58
+ if retries > 0:
59
+ print(f"Error occurred: {e}. Retrying...")
60
+ return download_file(url, base_path, sub_path, filename, retries=retries-1, timeout=timeout)
61
+ else:
62
+ print("Download failed after multiple retries.")
63
+ return None
64
+
65
+
66
+ download_file('https://huggingface.co/SG161222/Realistic_Vision_V6.0_B1_noVAE/resolve/main/Realistic_Vision_V6.0_NV_B1.safetensors',
67
+ 'stable-diffusion-webui', 'models/Stable-diffusion', 'Realistic_Vision_6.0.safetensors')
68
+ download_file('https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0_0.9vae.safetensors',
69
+ 'stable-diffusion-webui', 'models/Stable-diffusion', 'sd_xl_base_1.0.safetensors')
70
+ download_file('https://huggingface.co/SG161222/RealVisXL_V4.0/resolve/main/RealVisXL_V4.0.safetensors',
71
+ 'stable-diffusion-webui', 'models/Stable-diffusion', 'RealVisXL_V4.safetensors')
72
+ download_file('https://huggingface.co/MonsterMMORPG/Stable-Diffusion/resolve/main/best_realism.safetensors',
73
+ 'stable-diffusion-webui', 'models/Stable-diffusion', 'Hyper_Realism_V3.safetensors')
mass_compute_v2/install_TensorRT.sh ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ source /home/Ubuntu/apps/stable-diffusion-webui/venv/bin/activate
3
+
4
+ cd /home/Ubuntu/apps/stable-diffusion-webui
5
+ git pull
6
+ cd /home/Ubuntu/apps/stable-diffusion-webui/extensions
7
+ git clone https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT
8
+
9
+
10
+ cd /home/Ubuntu/apps/stable-diffusion-webui
11
+
12
+ wget https://huggingface.co/MonsterMMORPG/SECourses/resolve/main/styles.csv -O styles.csv
13
+
14
+ pip install nvidia-cudnn-cu11==8.9.4.25 --no-cache-dir
15
+
16
+ pip install --pre --extra-index-url https://pypi.nvidia.com tensorrt==9.0.1.post11.dev4 --no-cache-dir
17
+
18
+ pip install polygraphy --extra-index-url https://pypi.ngc.nvidia.com
19
+
20
+ pip install protobuf==3.20.2
21
+
22
+ pip install onnx-graphsurgeon --extra-index-url https://pypi.ngc.nvidia.com
23
+
24
+ pip install optimum
mass_compute_v2/update_sd1111.sh ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ cd /home/Ubuntu/apps/stable-diffusion-webui
2
+ git pull
3
+ wget https://huggingface.co/MonsterMMORPG/SECourses/resolve/main/styles.csv -O styles.csv
4
+ cd /home/Ubuntu/apps/stable-diffusion-webui/extensions
5
+ git clone https://github.com/Bing-su/adetailer
6
+ git clone https://github.com/Mikubill/sd-webui-controlnet
7
+ git clone https://github.com/diffus-me/sd-webui-facefusion
8
+ source /home/Ubuntu/apps/stable-diffusion-webui/venv/bin/activate
9
+ conda install -c conda-forge gcc_linux-64 gxx_linux-64 --yes
10
+ pip install insightface==0.7.3
11
+ pip install torch==2.2.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 --upgrade
12
+ pip install xformers==0.0.24
13
+ pip install basicsr
14
+ pip install realesrgan
mass_compute_v2/upload_hugging_face.ipynb ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cells": [
3
+ {
4
+ "cell_type": "code",
5
+ "execution_count": null,
6
+ "id": "caa74bef",
7
+ "metadata": {},
8
+ "outputs": [],
9
+ "source": [
10
+ "!pip install huggingface_hub --upgrade\n",
11
+ "\n",
12
+ "!pip install ipywidgets --upgrade"
13
+ ]
14
+ },
15
+ {
16
+ "cell_type": "code",
17
+ "execution_count": null,
18
+ "id": "e10d4e70-b7c5-476b-916c-14cce7e436e5",
19
+ "metadata": {},
20
+ "outputs": [],
21
+ "source": [
22
+ "from huggingface_hub import login\n",
23
+ "login()"
24
+ ]
25
+ },
26
+ {
27
+ "cell_type": "code",
28
+ "execution_count": null,
29
+ "id": "0502703b-8b44-4e58-af2c-82f67d713548",
30
+ "metadata": {},
31
+ "outputs": [],
32
+ "source": [
33
+ "from huggingface_hub import HfApi\n",
34
+ "api = HfApi()\n",
35
+ "api.upload_file(\n",
36
+ " path_or_fileobj=r\"/home/Ubuntu/apps/stable-diffusion-webui/models/Stable-diffusion/model_name.safetensors\",\n",
37
+ " path_in_repo=\"model_name.safetensors\",\n",
38
+ " repo_id=\"YourUserName/reponame\",\n",
39
+ " repo_type=\"model\",\n",
40
+ ")"
41
+ ]
42
+ },
43
+ {
44
+ "cell_type": "code",
45
+ "execution_count": null,
46
+ "id": "3be9367c-a04d-4d05-83ad-c8504e0383b4",
47
+ "metadata": {},
48
+ "outputs": [],
49
+ "source": [
50
+ "from huggingface_hub import HfApi\n",
51
+ "api = HfApi()\n",
52
+ "api.upload_folder(\n",
53
+ " folder_path=r\"/home/Ubuntu/apps/stable-diffusion-webui/models/Stable-diffusion\",\n",
54
+ " repo_id=\"YourUserName/reponame\",\n",
55
+ " repo_type=\"model\",\n",
56
+ ")"
57
+ ]
58
+ },
59
+ {
60
+ "cell_type": "code",
61
+ "execution_count": null,
62
+ "id": "6fc96104",
63
+ "metadata": {},
64
+ "outputs": [],
65
+ "source": [
66
+ "from huggingface_hub import HfApi\n",
67
+ "from huggingface_hub import get_collection, delete_collection_item\n",
68
+ "from huggingface_hub import upload_file\n",
69
+ "from huggingface_hub import (\n",
70
+ " HfFolder,\n",
71
+ " ModelCard,\n",
72
+ " ModelCardData,\n",
73
+ " create_repo,\n",
74
+ " hf_hub_download,\n",
75
+ " upload_folder,\n",
76
+ " whoami,\n",
77
+ ")\n",
78
+ "api = HfApi()\n",
79
+ "upload_folder(\n",
80
+ " folder_path=r\"/home/Ubuntu/apps/stable-diffusion-webui/models/Stable-diffusion\",\n",
81
+ " repo_id=\"YourUserName/reponame\",\n",
82
+ " repo_type=\"model\",\n",
83
+ " multi_commits=True,\n",
84
+ " multi_commits_verbose=True,\n",
85
+ ")\n"
86
+ ]
87
+ }
88
+ ],
89
+ "metadata": {
90
+ "kernelspec": {
91
+ "display_name": "Python 3 (ipykernel)",
92
+ "language": "python",
93
+ "name": "python3"
94
+ },
95
+ "language_info": {
96
+ "codemirror_mode": {
97
+ "name": "ipython",
98
+ "version": 3
99
+ },
100
+ "file_extension": ".py",
101
+ "mimetype": "text/x-python",
102
+ "name": "python",
103
+ "nbconvert_exporter": "python",
104
+ "pygments_lexer": "ipython3",
105
+ "version": "3.10.13"
106
+ }
107
+ },
108
+ "nbformat": 4,
109
+ "nbformat_minor": 5
110
+ }