[[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], ..., [ 2.0801, 10.2644, -1.1323, ..., -1.9650, 1.8537, -1.7999], [ 0.9605, -3.1758, -1.3022, ..., -1.1833, 0.3355, -1.5771], [-0.0451, 1.7216, -1.3122, ..., 0.3105, 0.8947, -1.5034]]]), {'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]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 2164, 834, 63, 7126, 210, 1133, 6, 3117, 1131, 2053, 6, 3117, 1133, 6, 2053, 8552, 6, 9891, 6, 3, 6293, 7, 6, 4295, 18750, 3, 6, 3, 4500, 6, 3609, 12543, 6, 1041, 7663, 6, 706, 5445, 6, 625, 690, 22260, 7, 6, 650, 223, 7775, 945, 6, 903, 45, 596, 992, 6, 1692, 14219, 6, 9838, 768, 6, 90, 152, 160, 223, 30, 22260, 1481, 6, 30, 80, 6476, 6, 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, 6, 12082, 869, 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, 1.1000, 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, 1.2100, 1.2100, 1.2100, 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], ..., [ 2.0801, 10.2644, -1.1323, ..., -1.9650, 1.8537, -1.7999], [ 0.9605, -3.1758, -1.3022, ..., -1.1833, 0.3355, -1.5771], [-0.0451, 1.7216, -1.3122, ..., 0.3105, 0.8947, -1.5034]]]), {'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]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 2164, 834, 63, 7126, 210, 1133, 6, 3117, 1131, 2053, 6, 3117, 1133, 6, 2053, 8552, 6, 9891, 6, 3, 6293, 7, 6, 4295, 18750, 3, 6, 3, 4500, 6, 3609, 12543, 6, 1041, 7663, 6, 706, 5445, 6, 625, 690, 22260, 7, 6, 650, 223, 7775, 945, 6, 903, 45, 596, 992, 6, 1692, 14219, 6, 9838, 768, 6, 90, 152, 160, 223, 30, 22260, 1481, 6, 30, 80, 6476, 6, 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, 6, 12082, 869, 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, 1.1000, 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, 1.2100, 1.2100, 1.2100, 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

Seed984219219628211

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], ..., [ 0.9407, -8.4648, -1.4037, ..., -2.0760, -1.2697, -1.7827], [ 0.3351, -17.4565, -1.3265, ..., -1.0269, 2.1915, -0.8836], [ 1.1469, -4.9722, -1.2788, ..., -1.8783, 0.6263, -1.9954]]]), {'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]]), '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, 6, 3, 29, 7, 89, 210, 6, 206, 221, 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., 1., 1., 1., 1., 1., 1., 1.])}]]

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Info

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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