![[[tensor([[[-5.8572e-01, -1.8643e+00, 3.8295e-01, ..., 9.8281e-01, 1.5267e+00, -4.0834e-01],
[ 3.3923e+00, 3.7668e+01, -1.4363e+00, ..., 7.5519e-01, -6.6387e-01, 9.6909e-01],
[ 2.9220e+00, 1.7153e+01, -1.3872e+00, ..., -9.7942e-01, -2.4618e+00, -5.7268e-01],
...,
[ 1.4740e+00, 1.4047e+01, -1.2724e+00, ..., -3.8460e-01, 8.4834e-01, -8.0387e-01],
[ 2.5386e+00, 6.4546e+00, -1.1512e+00, ..., -9.1787e-01, -3.3527e-02, -1.2131e+00],
[-6.0654e-01, 2.4152e+00, -1.2965e+00, ..., -2.4508e-02, 8.7021e-01, -1.8529e+00]]]), {'pooled_output': None, 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 1131, 1133, 6, 3117, 1692, 2053, 6, 3117, 1133, 6, 12593, 643, 6, 2768, 3, 12840, 115, 7, 6, 2053, 8552, 6, 3, 6293, 7, 6, 9891, 6, 16883, 53, 6995, 4954, 6, 6663, 576,
7398, 6, 650, 2458, 945, 6, 7956, 992, 6, 3993, 3, 6, 903, 45, 756, 7956, 992, 20975, 6, 200, 463, 6, 2604, 834, 1298, 6, 2604, 834, 11864, 2604, 834, 940, 6, 306, 60, 7, 6, 20135, 60, 7, 6, 6173, 3117, 6,
4816, 992, 6, 419, 6835, 3, 6, 1], dtype=torch.int32), 't5xxl_weights': tensor([1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000,
1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.1000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000,
1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]](https://c.genur.art/682c5f9b-a5fc-402f-a1d5-76d1ec455867_large.webp)
[[tensor([[[-5.8572e-01, -1.8643e+00, 3.8295e-01, ..., 9.8281e-01, 1.5267e+00, -4.0834e-01], [ 3.3923e+00, 3.7668e+01, -1.4363e+00, ..., 7.5519e-01, -6.6387e-01, 9.6909e-01], [ 2.9220e+00, 1.7153e+01, -1.3872e+00, ..., -9.7942e-01, -2.4618e+00, -5.7268e-01], ..., [ 1.4740e+00, 1.4047e+01, -1.2724e+00, ..., -3.8460e-01, 8.4834e-01, -8.0387e-01], [ 2.5386e+00, 6.4546e+00, -1.1512e+00, ..., -9.1787e-01, -3.3527e-02, -1.2131e+00], [-6.0654e-01, 2.4152e+00, -1.2965e+00, ..., -2.4508e-02, 8.7021e-01, -1.8529e+00]]]), {'pooled_output': None, 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 1131, 1133, 6, 3117, 1692, 2053, 6, 3117, 1133, 6, 12593, 643, 6, 2768, 3, 12840, 115, 7, 6, 2053, 8552, 6, 3, 6293, 7, 6, 9891, 6, 16883, 53, 6995, 4954, 6, 6663, 576, 7398, 6, 650, 2458, 945, 6, 7956, 992, 6, 3993, 3, 6, 903, 45, 756, 7956, 992, 20975, 6, 200, 463, 6, 2604, 834, 1298, 6, 2604, 834, 11864, 2604, 834, 940, 6, 306, 60, 7, 6, 20135, 60, 7, 6, 6173, 3117, 6, 4816, 992, 6, 419, 6835, 3, 6, 1], dtype=torch.int32), 't5xxl_weights': tensor([1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.1000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]
Parameters used to generate this content
[[tensor([[[-8.5704e-01, 3.9914e+01, 1.6188e-01, ..., 8.2578e-01, 1.1238e+00, -1.6935e+00], [-1.7551e+00, -2.0873e+00, -1.2725e+00, ..., -1.1877e-01, 7.3759e-01, 7.3865e-02], [ 1.4869e+00, -1.7119e+01, -1.2975e+00, ..., -4.5807e-01, 1.2698e+00, -7.8482e-01], ..., [ 2.3513e-01, -9.0511e+00, -1.2805e+00, ..., -1.3031e+00, 1.9882e+00, -1.3232e-01], [ 3.1007e-02, -4.8255e+00, -1.2715e+00, ..., -1.6705e+00, 2.2323e+00, 2.3762e-01], [ 4.0690e-01, -1.0167e+01, -1.2942e+00, ..., -1.0653e+00, 1.3273e+00, -1.2138e+00]]]), {'pooled_output': None, 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), 't5xxl_ids': tensor([ 6025, 463, 6, 731, 463, 6, 2604, 834, 4347, 2604, 834, 4482, 2604, 834, 6355, 2604, 834, 8525, 16810, 651, 6, 20, 10816, 6, 996, 3, 9577, 7, 6, 1282, 3, 6, 2377, 564, 6, 5514, 1780, 6, 3586, 10518, 6, 996, 10518, 6, 13888, 7, 6, 1], dtype=torch.int32), 't5xxl_weights': tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])}]]
Copies the original metadata text embedded by AUTOMATIC1111.
AI models used to generate this content