[[tensor([[[-0.5864, -1.8628, 0.3828, ..., 0.9846, 1.5261, -0.4114],

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$[[tensor([[[-0.5864, -1.8628, 0.3828, ..., 0.9846, 1.5261, -0.4114], [ 3.3918, 37.6601, -1.4363, ..., 0.7544, -0.6634, 0.9671], [ 2.9216, 17.1598, -1.3870, ..., -0.9789, -2.4631, -0.5741], ..., [ 3.1006, 16.0200, -1.2502, ..., -0.8938, 2.2060, -0.9197], [ 3.1564, 9.0255, -1.1479, ..., -1.1820, 0.2111, -0.9233], [ 0.0822, 2.1179, -1.2875, ..., -0.2520, 1.2402, -1.3933]]]), {'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]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 1001, 1133, 6, 3117, 4459, 2053, 6, 3117, 1133, 6, 12593, 643, 6, 2768, 3, 12840, 115, 7, 6, 2053, 8552, 6, 3, 6293, 7, 6, 9891, 6, 1519, 53, 7, 6, 12, 425, 15, 91, 6, 873, 19649, 10882, 6, 5889, 6, 6899, 3961, 53, 44, 6257, 6629, 7, 63, 8425, 53, 6, 42, 5556, 51, 6, 3752, 26, 6217, 6, 4126, 1216, 3, 26, 19160, 6, 90, 152, 6257, 30, 2164, 7944, 1481, 6, 903, 45, 666, 6629, 7, 63, 992, 6, 609, 2303, 16, 1216, 6, 3609, 160, 3, 12840, 115, 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, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 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, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]$

Prompt

[[tensor([[[-0.5864, -1.8628, 0.3828, ..., 0.9846, 1.5261, -0.4114], [ 3.3918, 37.6601, -1.4363, ..., 0.7544, -0.6634, 0.9671], [ 2.9216, 17.1598, -1.3870, ..., -0.9789, -2.4631, -0.5741], ..., [ 3.1006, 16.0200, -1.2502, ..., -0.8938, 2.2060, -0.9197], [ 3.1564, 9.0255, -1.1479, ..., -1.1820, 0.2111, -0.9233], [ 0.0822, 2.1179, -1.2875, ..., -0.2520, 1.2402, -1.3933]]]), {'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]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 1001, 1133, 6, 3117, 4459, 2053, 6, 3117, 1133, 6, 12593, 643, 6, 2768, 3, 12840, 115, 7, 6, 2053, 8552, 6, 3, 6293, 7, 6, 9891, 6, 1519, 53, 7, 6, 12, 425, 15, 91, 6, 873, 19649, 10882, 6, 5889, 6, 6899, 3961, 53, 44, 6257, 6629, 7, 63, 8425, 53, 6, 42, 5556, 51, 6, 3752, 26, 6217, 6, 4126, 1216, 3, 26, 19160, 6, 90, 152, 6257, 30, 2164, 7944, 1481, 6, 903, 45, 666, 6629, 7, 63, 992, 6, 609, 2303, 16, 1216, 6, 3609, 160, 3, 12840, 115, 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, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 1.1000, 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, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]

Generation Settings

Parameters used to generate this content

Created with

AUTOMATIC1111

CFG Scale7

Sampler

Euler

Seed129060221401286

Steps37

Negative Prompt

[[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.])}]]

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Image

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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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