Hugging Face's logo

sqfoo
/
STLDM_official

Video-to-Video
Safetensors
climate
Model card Files
xet
Community
STLDM_official
File size: 2,088 Bytes 
6021dd1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
from stldm.stldm import model_setup, guidance_scheduler, ae_setup, backbone_setup
from stldm.stldm_spatial import model_setup as spatial_setup

n2n_setup = {'2D': spatial_setup, '3D': model_setup}

STLDM_SEVIR = {
    'model': "stldm",
    'pre': None,
    'post': None,
    'vp_param': {      
        'shape_in': (13, 1, 128, 128),
        'shape_out': (12, 1, 128, 128),
        'hid_S': 32,
        'hid_T': 512,
        'N_S': 4,
        'N_T': 8,
        'groups': 8,
        'last_activation': 'sigmoid',
    },
    'stldm_param': {
        'in_ch': 32, 
        'chs_mult': [1,2,4,8],
        'num_groups': 8,
        'heads': 4,
        'dim_head': 32,
        'base_ch': 64,
        'patch_size': 16
    },
    'param': {
        'timesteps': 50,
        'sampling_timesteps': 20,
        'objective': 'pred_v'
    }
}

STLDM_HKO = {
    'model': "stldm",
    'pre': None,
    'post': None,
    'vp_param': {      
        'shape_in': (5, 1, 128, 128),
        'shape_out': (20, 1, 128, 128),
        'hid_S': 32,
        'hid_T': 512,
        'N_S': 4,
        'N_T': 8,
        'groups': 8,
        'last_activation': 'sigmoid',
    },
    'stldm_param': {
        'in_ch': 32, 
        'chs_mult': [1,2,4,8],
        'num_groups': 8,
        'heads': 4,
        'dim_head': 32,
        'base_ch': 64,
        'patch_size': 16
    },
    'param': {
        'timesteps': 50,
        'sampling_timesteps': 20,
        'objective': 'pred_v'
    }
}

STLDM_METEO = {
    'model': "stldm",
    'pre': None,
    'post': None,
    'vp_param': {      
        'shape_in': (5, 1, 128, 128),
        'shape_out': (20, 1, 128, 128),
        'hid_S': 32,
        'hid_T': 512,
        'N_S': 4,
        'N_T': 8,
        'groups': 8,
        'last_activation': 'sigmoid',
    },
    'stldm_param': {
        'in_ch': 32, 
        'chs_mult': [1,2,4,8],
        'num_groups': 8,
        'heads': 4,
        'dim_head': 32,
        'base_ch': 64,
        'patch_size': 16
    },
    'param': {
        'timesteps': 50,
        'sampling_timesteps': 20,
        'objective': 'pred_v'
    }
}