Hugging Face's logo

Spaces:
declare-lab
/
tango
Running on Zero

App Files Community
1
tango
File size: 5,499 Bytes 
6b448ad
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible


class IsSafetensorsCompatibleTests(unittest.TestCase):
    def test_all_is_compatible(self):
        filenames = [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(filenames))

    def test_diffusers_model_is_compatible(self):
        filenames = [
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(filenames))

    def test_diffusers_model_is_not_compatible(self):
        filenames = [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
            "unet/diffusion_pytorch_model.bin",
            # Removed: 'unet/diffusion_pytorch_model.safetensors',
        ]
        self.assertFalse(is_safetensors_compatible(filenames))

    def test_transformer_model_is_compatible(self):
        filenames = [
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
        ]
        self.assertTrue(is_safetensors_compatible(filenames))

    def test_transformer_model_is_not_compatible(self):
        filenames = [
            "safety_checker/pytorch_model.bin",
            "safety_checker/model.safetensors",
            "vae/diffusion_pytorch_model.bin",
            "vae/diffusion_pytorch_model.safetensors",
            "text_encoder/pytorch_model.bin",
            # Removed: 'text_encoder/model.safetensors',
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        self.assertFalse(is_safetensors_compatible(filenames))

    def test_all_is_compatible_variant(self):
        filenames = [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        variant = "fp16"
        self.assertTrue(is_safetensors_compatible(filenames, variant=variant))

    def test_diffusers_model_is_compatible_variant(self):
        filenames = [
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        variant = "fp16"
        self.assertTrue(is_safetensors_compatible(filenames, variant=variant))

    def test_diffusers_model_is_compatible_variant_partial(self):
        # pass variant but use the non-variant filenames
        filenames = [
            "unet/diffusion_pytorch_model.bin",
            "unet/diffusion_pytorch_model.safetensors",
        ]
        variant = "fp16"
        self.assertTrue(is_safetensors_compatible(filenames, variant=variant))

    def test_diffusers_model_is_not_compatible_variant(self):
        filenames = [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
            "unet/diffusion_pytorch_model.fp16.bin",
            # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
        ]
        variant = "fp16"
        self.assertFalse(is_safetensors_compatible(filenames, variant=variant))

    def test_transformer_model_is_compatible_variant(self):
        filenames = [
            "text_encoder/pytorch_model.fp16.bin",
            "text_encoder/model.fp16.safetensors",
        ]
        variant = "fp16"
        self.assertTrue(is_safetensors_compatible(filenames, variant=variant))

    def test_transformer_model_is_compatible_variant_partial(self):
        # pass variant but use the non-variant filenames
        filenames = [
            "text_encoder/pytorch_model.bin",
            "text_encoder/model.safetensors",
        ]
        variant = "fp16"
        self.assertTrue(is_safetensors_compatible(filenames, variant=variant))

    def test_transformer_model_is_not_compatible_variant(self):
        filenames = [
            "safety_checker/pytorch_model.fp16.bin",
            "safety_checker/model.fp16.safetensors",
            "vae/diffusion_pytorch_model.fp16.bin",
            "vae/diffusion_pytorch_model.fp16.safetensors",
            "text_encoder/pytorch_model.fp16.bin",
            # 'text_encoder/model.fp16.safetensors',
            "unet/diffusion_pytorch_model.fp16.bin",
            "unet/diffusion_pytorch_model.fp16.safetensors",
        ]
        variant = "fp16"
        self.assertFalse(is_safetensors_compatible(filenames, variant=variant))