File size: 2,863 Bytes
37112ef
1bac607
42ae52a
 
37112ef
 
 
7f167fb
 
 
ce81b3b
 
1bac607
 
b586918
21ef285
e3f3bde
 
21ef285
 
adc7d13
 
 
4ae3643
adc7d13
 
42ae52a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
adc7d13
37112ef
 
 
c637f12
7f167fb
37112ef
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
acde4c3
 
 
7f167fb
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
import os
import sys
import json

import torch


# Setup Repo

# Audios
matcha_tts_path = os.path.join(os.getcwd(), 'tabs', 'audios', 'modules', 'CosyVoice', 'third_party', 'Matcha-TTS')
cosyvoice_path = os.path.join(os.getcwd(), 'tabs', 'audios', 'modules', 'CosyVoice')
sys.path.append(matcha_tts_path)
sys.path.append(cosyvoice_path)


# Pull latest changes for submodules
os.system('git submodule update --init --recursive')


# Setup ENV
os.environ['HF_HOME'] = os.path.join(os.getcwd(), '.cache')
os.makedirs(os.environ['HF_HOME'], exist_ok=True)


# CSS
css = """
@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600&display=swap');
body {
    font-family: 'Poppins', sans-serif !important;
}
.center-content {
    text-align: center;
    max-width: 600px;
    margin: 0 auto;
    padding: 20px;
}
.center-content h1 {
    font-weight: 600;
    margin-bottom: 1rem;
}
.center-content p {
    margin-bottom: 1.5rem;
}
"""


# Config
class Config:
    # General
    SECRET_KEY = os.environ.get('SECRET_KEY', '12345678')
    MODEL_DOWNLOAD_DIR = os.environ.get('HF_HOME', os.environ.get('HF_HUB_CACHE', '.cache'))
    os.makedirs(MODEL_DOWNLOAD_DIR, exist_ok=True)
    
    # Images
    IMAGES_MODELS = [{"repo_id": "black-forest-labs/FLUX.1-dev", "loader": "flux", "compute_type": torch.bfloat16,}, {"repo_id": "stabilityai/stable-diffusion-xl-base-1.0", "loader": "sdxl", "compute_type": torch.float16,}]
    with open('data/loras/sdxl.json') as f:
        IMAGES_LORAS_SDXL = json.load(f)
    with open('data/loras/flux.json') as f:
        IMAGES_LORAS_FLUX = json.load(f)
    IMAGES_CONTROLNETS = [
        {
            "repo_id": "xinsir/controlnet-depth-sdxl-1.0",
            "name": "depth_xl",
            "layers": ["depth"],
            "loader": "sdxl",
            "compute_type": torch.float16,
        },
        {
            "repo_id": "xinsir/controlnet-canny-sdxl-1.0",
            "name": "canny_xl",
            "layers": ["canny"],
            "loader": "sdxl",
            "compute_type": torch.float16,
        },
        {
            "repo_id": "xinsir/controlnet-openpose-sdxl-1.0",
            "name": "openpose_xl",
            "layers": ["pose"],
            "loader": "sdxl",
            "compute_type": torch.float16,
        },
        {
            "repo_id": "xinsir/controlnet-scribble-sdxl-1.0",
            "name": "scribble_xl",
            "layers": ["scribble"],
            "loader": "sdxl",
            "compute_type": torch.float16,
        },
        {
            "repo_id": "Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro",
            "name": "flux1_union_pro",
            "layers": ["canny", "tile", "depth", "blur", "pose", "gray", "low_quality"],
            "loader": "flux-multi",
            "compute_type": torch.bfloat16,
        }
    ]


    # Audios
    AUDIOS_MODELS = []