python-chatgpt-test/sd-make-pix-benchmark-html.py at master · scotws/python-chatgpt-test · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
import argparse
import base64
import os
import subprocess
import sys
from io import BytesIO
from PIL import Image as PILImage

OUTPUT_FILE = 'output.html'
THUMBNAIL_WIDTH = 200

def get_metadata(file_path):
    cmd = ["identify", "-format", "'%[parameters]'", file_path]
    result = subprocess.check_output(cmd).decode('utf-8')

    # The parsing of the prompt is very fragile because it currently requires
    # the name of the artist that is requested to be in the format
    # "(Moebius:1.3)". We gracefully (relatively speaking) handle this by
    # changing the name to "ERROR".
    try:
        artist = result.split(":")[0].split("(")[1].strip()
    except IndexError:
        print(f"Error processing artist metadata for file '{file_path}'.")
        print(f"Offending output: '{result}'")
        artist = 'ERROR'

    try:
        prompt = result.split(")")[1].split("Negative")[0].strip()
    except IndexError:
        print(f"Error processing prompt metadata for file '{file_path}'.")
        print(f"Offending output: '{result}'")
        prompt = 'ERROR'

    try:
        negative_prompt = result.split("Negative prompt:")[1].split("Steps:")[0].strip()
        model = result.split("Model:")[1].split(",")[0].strip()
    except IndexError:
        print(f"Error processing metadata for file '{file_path}'.")
        print(f"Offending output: '{result}'")
        sys.exit(1)

    return artist, prompt, negative_prompt, model

def image_to_base64(img):
    buffered = BytesIO()
    img.save(buffered, format="PNG")
    img_str = base64.b64encode(buffered.getvalue())
    return img_str.decode('utf-8')

def create_html(data, folder_path):
    with open(os.path.join(folder_path, OUTPUT_FILE), "w") as f:
        f.write("<html><head><title>Stable Diffusion Benchmark</title></head><body>")
        f.write(f"<h1>Stable Diffusion Benchmark {data['date']}</h1>")
        f.write(f"<h2>Model: {data['model']}</h2>")

        f.write("<table border='1'>")
        f.write("<tr><th>Artist</th>")
        for prompt in data['prompts']:
            f.write(f"<th>{prompt}</th>")
        f.write("</tr>")

        for artist in sorted(data['artists'].keys()):
            prompts = data['artists'][artist]
            f.write("<tr>")
            f.write(f"<td>{artist}</td>")
            for prompt in data['prompts']:
                if prompt in prompts:
                    img_path = os.path.join(folder_path, prompts[prompt])

                    # Resize the image for thumbnail
                    with PILImage.open(img_path) as img:
                        aspect_ratio = img.height / img.width
                        new_height = int(THUMBNAIL_WIDTH * aspect_ratio)
                        img.thumbnail((THUMBNAIL_WIDTH, new_height))
                        img_base64 = image_to_base64(img)

                    f.write(f"<td><img src='data:image/png;base64,{img_base64}' width='{THUMBNAIL_WIDTH}'></td>")
                else:
                    f.write("<td></td>")
            f.write("</tr>")

        f.write("</table>")
        f.write(f"<p>Negative prompt: {data['negative_prompt']}</p>")
        f.write("</body></html>")

def main():
    parser = argparse.ArgumentParser(description="Generate HTML page from PNG metadata.")
    parser.add_argument('-o', '--output', default=OUTPUT_FILE, help="Specify the name of the output file.")
    parser.add_argument('-v', '--verbose', action='store_true', help="Enable verbose output.")
    args = parser.parse_args()

    folder_path = input("Enter the folder location (or press Enter for current directory): ")
    if not folder_path:
        folder_path = os.getcwd()

    if args.verbose:
        print(f"Using folder path: {folder_path}")

    if not os.access(folder_path, os.R_OK | os.W_OK):
        print("Error: No read/write permissions for the folder.")
        return

    if not os.path.isfile("/opt/homebrew/bin/identify"):
        print("Error: 'identify' program is not installed or not executable.")
        return

    # MacOS will attempt to convert the hidden ._ files if we don't stop it
    png_files = [f for f in os.listdir(folder_path)\
            if f.endswith('.png')\
            and not f.startswith('.')]

    if not png_files:
        print("Error: No PNG files found in the folder.")
        return

    if args.verbose:
        print(f'Found {len(png_files)} PNG files in the folder.')

    data = {
        "date": os.path.basename(folder_path),
        "model": "",
        "negative_prompt": "",
        "prompts": [],
        "artists": {}
    }

    for png_file in png_files:
        artist, prompt, negative_prompt, model = get_metadata(os.path.join(folder_path, png_file))

        if args.verbose:
            print(f"Found image {png_file} with artist {artist} ...")

        if not data["model"]:
            data["model"] = model

        if not data["negative_prompt"]:
            data["negative_prompt"] = negative_prompt

        if prompt not in data["prompts"]:
            data["prompts"].append(prompt)

        if artist not in data["artists"]:
            data["artists"][artist] = {}

        data["artists"][artist][prompt] = png_file

    create_html(data, folder_path)

if __name__ == "__main__":
    main()