[[tensor([[[-5.8410e-01, -1.8459e+00, 3.8288e-01, ..., 9.8462e-01, 1.5243e+0

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$[[tensor([[[-5.8410e-01, -1.8459e+00, 3.8288e-01, ..., 9.8462e-01, 1.5243e+00, -4.1220e-01], [ 3.3926e+00, 3.7651e+01, -1.4363e+00, ..., 7.5587e-01, -6.6305e-01, 9.6584e-01], [ 2.9213e+00, 1.7168e+01, -1.3871e+00, ..., -9.7926e-01, -2.4621e+00, -5.7381e-01], ..., [ 2.2201e+00, 1.9501e+01, -1.3263e+00, ..., -3.9450e-01, 1.1175e+00, -4.3659e-01], [ 2.9579e+00, 1.3236e+01, -1.1426e+00, ..., -5.1961e-01, 2.4705e-01, -1.0118e+00], [ 2.4840e-01, 2.8258e+00, -1.3040e+00, ..., -2.9347e-02, 1.2526e+00, -1.6967e+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, 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, 1001, 1133, 6, 3117, 4244, 4650, 2053, 6, 3117, 1133, 6, 12593, 643, 6, 600, 3, 17, 5993, 26, 3, 12840, 115, 7, 6, 2053, 8552, 6, 9891, 6, 3, 6293, 7, 6, 1683, 4954, 3, 6, 784, 35, 1927, 8149, 6, 307, 12, 425, 15, 91, 908, 209, 7296, 3, 6, 27144, 834, 16627, 8008, 29, 3, 2618, 16899, 4550, 159, 6, 3, 75, 23434, 6, 1216, 30, 522, 6, 1780, 30, 5069, 31, 7, 4550, 159, 6, 3, 10095, 53, 1216, 45, 4550, 159, 6, 30, 80, 6476, 6, 650, 223, 7775, 945, 6, 903, 45, 756, 992, 6, 4244, 4650, 5956, 30, 1591, 6, 9838, 768, 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, 1.1000, 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, 1.1000, 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, 1.0000, 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, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]$

Prompt

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Generation Settings

Parameters used to generate this content

Created with

AUTOMATIC1111

CFG Scale7

Sampler

Euler

Seed1071925954976723

Steps37

Negative Prompt

[[tensor([[[ -0.8570, 39.9137, 0.1619, ..., 0.8258, 1.1238, -1.6935], [ -1.7551, -2.0873, -1.2725, ..., -0.1188, 0.7376, 0.0739], [ 1.4869, -17.1193, -1.2975, ..., -0.4581, 1.2698, -0.7848], ..., [ 0.2351, -9.0511, -1.2805, ..., -1.3031, 1.9882, -0.1323], [ 1.0017, 2.3049, -1.2567, ..., -1.7525, -0.5878, -1.8513], [ 0.1277, -25.9518, -1.2813, ..., -1.1527, 1.0605, -2.3816]]]), {'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, 22432, 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.])}]]

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Info

Image

Likes

Created

7/24/2026

Source

CivitAI

Models Used

AI models used to generate this content

Female Argonian

LORA

Female Argonian

Anima

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