now this is happening...

[rektobot]

got gradio link working but this is being spit out now when i try to generate anything:

TypeError: fwd(): incompatible function arguments. The following argument types are supported:

1. (arg0: at::Tensor, arg1: at::Tensor, arg2: at::Tensor, arg3: at::Tensor, arg4: at::Tensor, arg5: int, arg6: int, arg7: float, arg8: float, arg9: bool, arg10: bool, arg11: bool, arg12: Optional[at::Generator]) -> List[at::Tensor]

Invoked with: tensor([[[ 1.5215, -0.7729, -0.1616, ..., -0.6812, 1.6748, -2.1211], [-0.3049, -0.2542, 0.0195, ..., 0.7388, -2.0801, -0.4763], [-0.3049, -0.6841, 0.1853, ..., 0.9907, -1.4170, 1.4697], ..., [ 0.7285, 0.6162, 1.1338, ..., 1.0029, 0.2117, 0.8164], [ 0.9966, -1.8525, 0.1484, ..., -1.1240, -0.5889, -1.8096], [-0.4470, -0.6782, -0.1168, ..., 1.3613, -0.8984, 0.2739]],

    [[ 1.7900, -1.0137, -1.1289,  ..., -0.7070,  0.7363, -2.4395],
     [ 0.8789,  1.0762,  0.4697,  ...,  0.8135, -1.2529, -2.1934],
     [-0.3147, -1.1504, -0.5068,  ..., -0.1615, -2.0762,  0.9678],
     ...,
     [ 1.1426,  1.1465,  0.5576,  ...,  1.1826,  0.4500,  0.2345],
     [ 0.9316, -1.1553, -1.3320,  ..., -0.6714,  0.1410, -1.8535],
     [-0.5293, -0.8369, -0.1168,  ...,  1.1875, -0.5415, -0.2881]],

    [[ 1.3525, -0.6924,  0.0572,  ..., -0.1072,  0.8384, -3.3320],
     [ 0.9482,  0.8813, -1.4248,  ..., -0.5054, -1.6621, -0.8735],
     [ 0.0337, -0.5220, -0.5518,  ..., -0.1577, -0.4502,  1.6230],
     ...,
     [ 0.3665,  1.5518,  0.5186,  ...,  0.3906,  0.7549,  0.4468],
     [ 0.7505, -1.3066,  0.8423,  ...,  0.6836, -1.1582, -1.4805],
     [-0.2556, -0.6494,  0.1130,  ...,  1.0527, -0.6807,  0.4324]],

    ...,

    [[ 1.1895, -0.2019,  0.3760,  ..., -0.4595,  0.8105, -1.9863],
     [-0.7119,  0.9858,  0.3423,  ...,  0.3247, -2.3574,  1.3984],
     [-0.4631, -0.1409,  1.1787,  ...,  0.6621, -0.8398,  1.5205],
     ...,
     [-0.0472,  0.7720, -0.3596,  ...,  0.3867, -1.4160, -0.6450],
     [ 0.2778, -2.6270,  1.5664,  ..., -0.7676, -1.3369, -3.6719],
     [-0.5698, -0.6909, -0.4370,  ...,  0.2800, -0.8384,  0.1716]],

    [[ 1.5156, -0.5640,  0.8721,  ..., -0.0648,  1.5762, -2.8691],
     [ 0.2144, -0.4575,  0.9526,  ...,  1.3164, -0.4351, -0.6699],
     [ 1.6406,  0.1172,  0.1218,  ..., -0.0586, -0.8760,  0.9419],
     ...,
     [ 0.9458,  0.6255,  0.5386,  ...,  0.4702, -0.4241, -0.8857],
     [-0.1794, -0.6729,  1.3096,  ...,  0.2234, -0.6157, -2.8574],
     [-0.5947, -0.9043, -0.5981,  ...,  0.7729, -0.6875, -0.1110]],

    [[ 0.8872, -0.6733,  0.2338,  ..., -0.6797,  1.7012, -2.1777],
     [ 0.7275, -1.1865,  0.2183,  ...,  0.9863, -0.8027,  0.2122],
     [ 0.6816, -1.1270,  0.1318,  ...,  0.9077, -0.8564,  1.6826],
     ...,
     [ 0.5767, -0.6323, -1.1309,  ...,  0.6372, -0.0723,  0.6938],
     [ 0.8628, -2.1406,  1.4619,  ..., -0.4468, -0.3367, -1.8936],
     [-0.4180, -0.6763, -0.1641,  ...,  0.4104, -0.8120,  0.1011]]],
   device='cuda:0', dtype=torch.float16), tensor([[[ 1.8906, -1.5508,  1.0615,  ...,  0.3867,  1.2520,  0.2717],
     [ 2.2480,  0.8579, -0.1666,  ...,  0.2651,  0.4724, -1.4082],
     [-0.6416, -1.6865, -0.5942,  ...,  0.7466, -2.1680,  1.3594],
     ...,
     [-0.7856, -0.2920,  0.5029,  ..., -0.6226, -0.2332, -1.0469],
     [ 0.7451, -0.1580,  0.5049,  ..., -0.1103, -1.7227, -1.3535],
     [ 0.1903,  0.7197,  0.0390,  ...,  0.6367,  0.3047,  0.4858]],

    [[ 0.4272, -0.5522,  1.1016,  ...,  0.7134,  0.1224, -0.8521],
     [ 1.7188,  1.0527,  1.2637,  ..., -0.3904, -0.6338, -0.8267],
     [-0.0980, -1.0518, -0.7983,  ...,  0.0175, -1.7949,  0.6138],
     ...,
     [-0.8184,  0.7070,  1.2832,  ..., -1.3818, -0.7388, -0.5869],
     [ 0.7979, -0.9570,  0.8716,  ...,  1.6396, -1.1162, -1.4688],
     [ 0.5518,  0.6519,  0.2886,  ...,  0.1396,  0.4734, -0.5918]],

    [[ 0.1575, -1.9287,  0.2092,  ..., -0.0793,  1.5811, -1.3799],
     [ 1.1182, -0.6504,  1.2539,  ..., -0.7646, -0.6152, -2.5371],
     [-0.0121, -0.3000, -0.2184,  ...,  0.0350, -0.4919,  1.0811],
     ...,
     [-0.7554, -0.2578,  1.2842,  ..., -0.4766, -0.6157, -0.8638],
     [ 1.3896, -1.2529,  1.3643,  ...,  1.5264, -0.8071, -0.5054],
     [ 0.3096,  1.1494,  0.5938,  ...,  0.2299,  1.0088,  0.6509]],

    ...,

    [[ 0.5098, -0.5122,  1.3203,  ..., -0.0346,  0.8887,  0.7666],
     [-0.4370,  0.5132, -0.1886,  ...,  0.3809, -0.8540, -0.2050],
     [-0.1798, -0.5918,  0.3450,  ...,  0.2039, -1.1611,  1.3027],
     ...,
     [-0.6367, -1.8203,  1.6045,  ...,  0.4458, -0.8818, -0.4673],
     [ 0.0632, -1.4570,  2.3438,  ...,  1.0605, -0.8862, -2.2773],
     [ 0.4639,  0.7920,  0.0703,  ..., -0.6616,  1.0957,  0.8149]],

    [[ 0.3899, -0.3765,  0.9263,  ...,  0.4653,  1.2725,  0.1138],
     [ 0.5479, -0.2600,  0.9546,  ...,  1.1826, -1.8750,  0.0873],
     [ 1.2920,  0.0690,  0.3081,  ..., -0.4412, -0.5327,  0.6133],
     ...,
     [-0.5879, -1.6045, -0.2878,  ..., -0.3665, -1.3047, -0.8281],
     [-1.5010, -2.6523,  2.2852,  ...,  0.8174, -0.6646, -2.2598],
     [ 1.0771,  0.8926,  0.4473,  ...,  0.2737,  0.6460,  0.8115]],

    [[ 0.6929, -0.9688,  0.3667,  ..., -0.0102,  1.5703, -0.1929],
     [ 1.6406, -2.1699,  0.3750,  ...,  1.0469,  0.7466, -1.3682],
     [ 0.4526, -1.9668, -0.2318,  ...,  0.3130, -1.3203,  1.4326],
     ...,
     [ 0.3777, -0.7617,  1.0596,  ..., -0.7573, -1.1719, -1.4941],
     [-1.3291, -1.8760,  1.8701,  ...,  0.0265, -0.2952, -1.5674],
     [ 0.6826,  0.5771, -0.4399,  ...,  0.0368,  0.4160,  1.2041]]],
   device='cuda:0', dtype=torch.float16), tensor([[[-0.1743, -0.7080,  0.3337,  ..., -0.1459, -0.4585,  0.5513],
     [ 0.4116, -0.6670, -0.2220,  ...,  0.0870,  0.0736,  0.2329],
     [ 0.3098,  1.2949, -0.6064,  ..., -0.6401,  0.4868, -0.4614],
     ...,
     [-0.4819,  0.2058, -0.0413,  ...,  0.5015, -0.8794,  0.7344],
     [-0.2524,  0.0636,  0.0931,  ...,  0.4275,  0.1543, -0.2467],
     [ 1.5420,  0.3293, -0.7451,  ..., -0.1009, -0.9673, -0.4731]],

    [[ 0.4504,  0.9639,  0.2883,  ...,  0.4688,  0.6968,  0.2285],
     [ 0.4321,  0.4451,  0.6084,  ..., -0.0485,  0.4492,  0.6851],
     [-0.2233,  1.0186,  0.1488,  ..., -0.9463, -0.2317, -0.0060],
     ...,
     [-0.5718,  0.5591,  0.2634,  ..., -0.4941,  2.0742,  0.0815],
     [ 0.0148,  0.3352, -0.0928,  ..., -0.0642, -0.4802, -0.3506],
     [ 1.0332, -0.1135, -0.6704,  ..., -0.1495, -0.6665, -0.3733]],

    [[-0.1658, -0.4753, -0.6392,  ..., -0.3420,  0.3989,  0.7349],
     [-0.5415, -0.3694,  0.0465,  ...,  0.0526, -0.1631, -0.2424],
     [ 0.6753,  0.3601, -0.4358,  ...,  0.7002, -0.4956,  1.8740],
     ...,
     [-1.0020, -0.0614,  0.5781,  ...,  0.8042, -0.7734, -0.9824],
     [-0.3621, -0.3430,  0.2269,  ...,  0.0490,  0.2368, -0.0748],
     [ 0.6460, -0.2698, -0.4856,  ...,  0.1194, -0.9302, -0.2288]],

    ...,

    [[ 0.8872,  0.0621,  0.5435,  ...,  0.7847,  0.2023,  0.0456],
     [-0.8716, -0.3601, -0.0078,  ..., -0.1849, -0.5674, -0.1261],
     [-0.4905, -1.0010,  0.3284,  ...,  0.5054, -1.0371,  0.1099],
     ...,
     [ 0.8110,  0.6138,  0.8198,  ..., -0.0290,  0.5898,  0.2510],
     [ 0.5654,  0.4443,  0.0132,  ...,  0.2603,  0.5112, -0.1149],
     [ 0.9067, -0.2957, -0.1447,  ..., -0.6953, -0.4922, -0.3220]],

    [[ 0.1576,  0.0397, -0.3254,  ...,  0.5073,  0.5371,  0.6069],
     [-0.4558,  0.0253, -0.1257,  ..., -0.2378,  0.4106, -0.1311],
     [ 0.2231, -0.1991, -0.9385,  ..., -0.5396, -0.4304,  0.3203],
     ...,
     [ 0.0614,  0.0355,  0.9717,  ..., -0.0249,  0.4048, -0.2771],
     [-0.2408,  0.2502, -0.1076,  ...,  0.1132,  0.4980,  0.2489],
     [ 0.7988, -0.7153, -0.1327,  ..., -0.0128, -0.7485,  0.1611]],

    [[ 0.4929, -0.1055,  0.1095,  ...,  0.6177,  0.4622,  0.2280],
     [-0.7222, -0.3169, -0.4812,  ..., -0.3130, -0.1409,  0.2410],
     [ 0.4739, -0.2983, -0.4832,  ..., -0.2656, -0.6367,  0.7793],
     ...,
     [-0.0068,  0.6069,  0.7085,  ...,  0.5425, -0.2725,  0.0614],
     [ 0.3118,  0.2576,  0.4182,  ...,  0.2639,  0.5386,  0.2128],
     [ 1.0293,  0.0807, -0.6099,  ..., -0.7583, -0.9443, -0.1793]]],
   device='cuda:0', dtype=torch.float16), tensor([[[ 0.6489,  0.5840, -0.6904,  ..., -0.9380, -0.5542,  0.7676],
     [ 0.4519, -0.1074,  0.1689,  ...,  0.8589,  0.0426,  0.9194],
     [ 0.4912, -0.0865, -0.7021,  ..., -0.9468,  0.3020, -0.0165],
     ...,
     [-0.2661,  0.3879,  0.7202,  ...,  0.0677, -0.6978, -0.0235],
     [-0.1570, -0.0312, -0.6528,  ...,  0.1097, -0.0088, -0.1107],
     [ 0.2028,  0.0146, -0.8013,  ..., -0.5591,  0.2668,  0.3330]],

    [[ 0.5166,  1.0527,  0.4690,  ..., -0.1223, -0.1606,  1.1807],
     [ 0.1322,  0.4795, -0.6826,  ...,  0.8506, -0.5815, -0.0765],
     [ 0.8018, -0.0692,  0.1871,  ..., -0.0570, -0.3320, -0.0828],
     ...,
     [-0.6655,  0.3145,  0.7832,  ...,  0.2070, -0.5928, -0.2769],
     [-0.7905,  0.1504, -0.4661,  ...,  0.8120, -0.0438,  0.5249],
     [-0.5288,  0.1136, -0.4673,  ...,  0.3665, -0.1598,  0.4702]],

    [[ 0.0897,  0.0715, -0.0086,  ..., -0.2489, -0.0756,  0.7227],
     [ 0.3882,  1.1104, -0.4980,  ...,  0.7310, -0.0141,  0.4421],
     [ 0.4287, -0.1683, -0.4685,  ...,  0.0999,  0.2642,  0.3398],
     ...,
     [-0.1393,  0.5840,  0.4954,  ..., -0.0109, -0.5586,  0.1735],
     [-1.0762, -0.4429, -0.1165,  ...,  0.7969, -0.2874, -0.1210],
     [-0.6108,  0.1653, -0.5728,  ...,  0.6860, -0.3928,  0.1927]],

    ...,

    [[ 0.3406,  0.3655, -0.5435,  ...,  0.4734,  0.1805,  0.2700],
     [-0.0329, -0.3625, -0.1735,  ..., -0.1511, -0.2135,  1.2783],
     [ 0.3953,  0.1324, -0.9365,  ..., -0.5264, -0.3181,  0.5161],
     ...,
     [ 0.3396, -0.1384,  0.0172,  ..., -0.2642,  0.0193,  0.0086],
     [ 0.7412,  0.2605,  0.2793,  ..., -0.2727,  0.4429,  0.1050],
     [ 0.3242, -0.2388, -0.1855,  ..., -0.8638, -0.1052, -0.0746]],

    [[ 0.9893,  0.3677, -0.3545,  ...,  0.4387,  0.1919,  0.7646],
     [-0.2944,  0.3533, -0.1466,  ..., -0.0538, -0.1074,  0.7134],
     [ 0.2483,  0.1949,  0.4041,  ..., -0.0059,  0.4341,  0.5889],
     ...,
     [-0.3125,  0.1768,  0.4858,  ...,  0.0323, -0.8281,  0.4575],
     [-0.1393,  0.6328, -0.0432,  ...,  0.1389,  0.1333, -0.1265],
     [ 0.1927, -0.1656, -0.7456,  ..., -0.0980,  0.5425, -0.5049]],

    [[ 0.4924,  0.4985, -0.8604,  ..., -0.2852, -0.3347,  0.5908],
     [-0.0305,  0.2925,  0.5146,  ..., -0.2671,  0.0984,  1.1914],
     [ 0.0593, -0.3896, -0.1293,  ..., -0.6367, -0.2032,  0.3774],
     ...,
     [-0.1587,  0.1824,  0.7153,  ..., -0.1488, -0.5693,  0.4438],
     [ 0.1542,  0.6177,  0.9976,  ..., -0.1085,  0.4099,  0.4170],
     [ 0.1783,  0.1486, -0.3679,  ..., -0.3735,  0.1085, -0.2037]]],
   device='cuda:0', dtype=torch.float16), tensor([     0,  65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288],
   device='cuda:0', dtype=torch.int32), tensor([     0,  65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288],
   device='cuda:0', dtype=torch.int32), 65536, 65536, 0.0, 0.15811388300841897, False, False, False, 0, None

[rektobot]

turned off dynamic prompts and got this as well.

TypeError: fwd(): incompatible function arguments. The following argument types are supported: 1. (arg0: at::Tensor, arg1: at::Tensor, arg2: at::Tensor, arg3: at::Tensor, arg4: at::Tensor, arg5: int, arg6: int, arg7: float, arg8: float, arg9: bool, arg10: bool, arg11: bool, arg12: Optional[at::Generator]) -> List[at::Tensor] Invoked with: tensor([[[ 1.4863e+00, -7.3096e-01, -2.6953e-01, ..., -5.4053e-01, 1.5938e+00, -2.2129e+00], [-4.1162e-01, -2.8442e-01, 3.3813e-02, ..., 7.5391e-01, -2.1484e+00, -4.4019e-01], [-2.7539e-01, -6.1035e-01, 2.4841e-01, ..., 9.5605e-01, -1.3428e+00, 1.5225e+00], ..., [ 6.7139e-01, 6.0742e-01, 1.0654e+00, ..., 1.1162e+00, 3.7231e-01, 8.2861e-01], [ 9.3359e-01, -1.7480e+00, 2.2510e-01, ..., -1.1465e+00, -5.6055e-01, -1.8203e+00], [-4.6094e-01, -6.7090e-01, -8.8135e-02, ..., 1.3916e+00, -8.9941e-01, 3.3984e-01]], [[ 1.7676e+00, -1.0068e+00, -1.3164e+00, ..., -6.4355e-01, 7.0850e-01, -2.5508e+00], [ 8.1787e-01, 1.1240e+00, 4.9097e-01, ..., 7.9980e-01, -1.2744e+00, -2.1230e+00], [-3.2397e-01, -1.0801e+00, -4.5996e-01, ..., -1.6528e-01, -2.0430e+00, 9.9902e-01], ..., [ 1.0771e+00, 1.1025e+00, 5.0635e-01, ..., 1.3135e+00, 6.1035e-01, 2.8882e-01], [ 8.0908e-01, -1.0576e+00, -1.2646e+00, ..., -8.5107e-01, 1.5295e-01, -1.9561e+00], [-5.4346e-01, -8.2617e-01, -4.2053e-02, ..., 1.1963e+00, -5.5029e-01, -2.3340e-01]], [[ 1.3301e+00, -6.4355e-01, -6.0913e-02, ..., -3.4119e-02, 8.2568e-01, -3.4414e+00], [ 9.3604e-01, 8.9160e-01, -1.3906e+00, ..., -4.9927e-01, -1.7256e+00, -7.6416e-01], [ 4.8126e-02, -4.6411e-01, -4.5996e-01, ..., -1.6797e-01, -4.2627e-01, 1.6211e+00], ..., [ 3.2935e-01, 1.5342e+00, 4.1504e-01, ..., 4.7559e-01, 9.0674e-01, 4.9023e-01], [ 6.3525e-01, -1.1934e+00, 9.5801e-01, ..., 5.2148e-01, -1.1172e+00, -1.5586e+00], [-2.7124e-01, -6.5820e-01, 1.7847e-01, ..., 1.0742e+00, -7.0605e-01, 4.9194e-01]], ..., [[ 1.1758e+00, -2.6489e-01, 2.4597e-01, ..., -3.6621e-01, 7.5098e-01, -2.0938e+00], [-6.9971e-01, 1.0957e+00, 2.6245e-01, ..., 4.2578e-01, -2.4180e+00, 1.4609e+00], [-4.8804e-01, -1.7810e-01, 1.2207e+00, ..., 6.0449e-01, -8.7451e-01, 1.5596e+00], ..., [-1.2488e-01, 7.2363e-01, -3.1543e-01, ..., 4.6265e-01, -1.3496e+00, -5.7031e-01], [ 3.2715e-01, -2.4961e+00, 1.5557e+00, ..., -7.9736e-01, -1.3633e+00, -3.7344e+00], [-5.7080e-01, -6.6357e-01, -3.9990e-01, ..., 2.6709e-01, -8.6621e-01, 2.6807e-01]], [[ 1.5381e+00, -6.0693e-01, 7.2168e-01, ..., 7.2449e-02, 1.4541e+00, -2.9922e+00], [ 2.2900e-01, -3.8550e-01, 9.2822e-01, ..., 1.3955e+00, -5.2881e-01, -6.0059e-01], [ 1.6084e+00, 8.5388e-02, 1.8176e-01, ..., -1.0968e-01, -8.9258e-01, 9.9072e-01], ..., [ 8.0322e-01, 5.3906e-01, 5.6152e-01, ..., 5.9863e-01, -3.2495e-01, -8.2373e-01], [-1.5930e-01, -5.4541e-01, 1.3525e+00, ..., 2.1118e-01, -6.0156e-01, -2.8789e+00], [-5.9961e-01, -8.8428e-01, -5.4492e-01, ..., 7.6758e-01, -7.1729e-01, 3.3741e-03]], [[ 9.0283e-01, -7.2266e-01, 1.3000e-01, ..., -5.5078e-01, 1.5684e+00, -2.2500e+00], [ 6.9824e-01, -1.1445e+00, 1.6357e-01, ..., 1.0361e+00, -7.8906e-01, 2.8857e-01], [ 6.4795e-01, -1.1621e+00, 1.6016e-01, ..., 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[ 0.5249, 0.6602, 0.2715, ..., 0.2346, 0.4092, -0.5977]], [[ 0.1674, -1.8887, 0.2220, ..., 0.0195, 1.5762, -1.3037], [ 1.0518, -0.6230, 1.3965, ..., -0.7847, -0.6680, -2.4492], [ 0.0175, -0.2573, -0.1880, ..., 0.0039, -0.4663, 1.0928], ..., [-0.7603, -0.2964, 1.1650, ..., -0.5000, -0.5820, -0.8530], [ 1.3740, -1.1191, 1.4336, ..., 1.5156, -0.8110, -0.4470], [ 0.2673, 1.1582, 0.5981, ..., 0.2859, 0.9517, 0.6792]], ..., [[ 0.5405, -0.5122, 1.3320, ..., -0.0267, 0.8325, 0.7949], [-0.3008, 0.5835, -0.1151, ..., 0.4912, -0.8691, -0.1312], [-0.1873, -0.6777, 0.3184, ..., 0.1296, -1.2549, 1.3320], ..., [-0.7119, -1.8701, 1.5771, ..., 0.4612, -0.8784, -0.4612], [ 0.1735, -1.3330, 2.3418, ..., 1.0859, -0.9897, -2.2930], [ 0.4231, 0.7744, 0.0668, ..., -0.6157, 1.0518, 0.8213]], [[ 0.4597, -0.3286, 0.9380, ..., 0.5195, 1.1758, 0.1680], [ 0.6836, -0.1952, 1.0547, ..., 1.2178, -1.9092, 0.1328], [ 1.2881, -0.0267, 0.2683, ..., -0.5210, -0.6113, 0.6445], ..., [-0.6729, -1.6465, -0.3792, ..., -0.3770, 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0.4619, 0.7153], [-0.2057, 1.0361, 0.1608, ..., -0.9536, -0.1981, -0.0276], ..., [-0.5781, 0.5498, 0.2159, ..., -0.5117, 2.0273, 0.0662], [-0.0289, 0.3225, -0.0919, ..., -0.0347, -0.4810, -0.3398], [ 1.0225, -0.1189, -0.6528, ..., -0.1393, -0.6523, -0.4333]], [[-0.1305, -0.5225, -0.6631, ..., -0.3521, 0.3569, 0.7192], [-0.5024, -0.3831, 0.0208, ..., 0.0227, -0.1875, -0.2147], [ 0.6904, 0.3499, -0.4211, ..., 0.7168, -0.4897, 1.8633], ..., [-0.9805, -0.0786, 0.5928, ..., 0.7910, -0.8354, -0.9790], [-0.4045, -0.3560, 0.1918, ..., 0.0627, 0.2603, -0.0975], [ 0.6133, -0.2639, -0.4922, ..., 0.1556, -0.9434, -0.2756]], ..., [[ 0.8926, 0.0573, 0.5083, ..., 0.7568, 0.2394, 0.0659], [-0.8623, -0.3257, 0.0034, ..., -0.1700, -0.5845, -0.1361], [-0.4961, -0.9697, 0.3613, ..., 0.4624, -1.0801, 0.0955], ..., [ 0.7842, 0.5615, 0.8154, ..., 0.0330, 0.6465, 0.2954], [ 0.4871, 0.4448, -0.0191, ..., 0.2644, 0.5283, -0.1008], [ 0.9043, -0.3428, -0.1493, ..., -0.6636, -0.5171, -0.3447]], [[ 0.2001, 0.0116, -0.3818, ..., 0.4819, 0.5693, 0.6211], [-0.4529, 0.0549, -0.1283, ..., -0.2205, 0.4048, -0.1478], [ 0.1957, -0.1672, -0.8994, ..., -0.5742, -0.4666, 0.3230], ..., [ 0.0392, -0.0365, 0.9556, ..., 0.0601, 0.4150, -0.2418], [-0.2922, 0.2479, -0.1395, ..., 0.1320, 0.5190, 0.2756], [ 0.7959, -0.7690, -0.1020, ..., 0.0281, -0.7598, 0.1008]], [[ 0.4929, -0.0843, 0.0793, ..., 0.5908, 0.4988, 0.2563], [-0.7466, -0.3323, -0.4775, ..., -0.3096, -0.1582, 0.2417], [ 0.4304, -0.2693, -0.4502, ..., -0.2913, -0.6826, 0.7969], ..., [ 0.0057, 0.5493, 0.6997, ..., 0.5938, -0.2742, 0.1004], [ 0.2747, 0.2515, 0.4097, ..., 0.2815, 0.5732, 0.2059], [ 1.0352, 0.0401, -0.5928, ..., -0.7490, -0.9409, -0.2074]]], device='cuda:0', dtype=torch.float16), tensor([[[ 0.6426, 0.6108, -0.6528, ..., -0.9209, -0.5771, 0.7847], [ 0.3982, -0.1079, 0.1991, ..., 0.7939, 0.0374, 0.9868], [ 0.4771, -0.1355, -0.7368, ..., -0.8804, 0.3533, -0.0028], ..., [-0.2411, 0.4170, 0.7095, ..., 0.0483, -0.7368, -0.0170], [-0.1462, -0.0735, -0.6562, ..., 0.1537, -0.0447, -0.0546], [ 0.1499, -0.0623, -0.7827, ..., -0.5952, 0.2942, 0.3408]], [[ 0.4917, 1.0898, 0.4861, ..., -0.0933, -0.2245, 1.1748], [ 0.0995, 0.4717, -0.6641, ..., 0.7827, -0.5781, -0.0121], [ 0.8071, -0.1232, 0.1606, ..., -0.0342, -0.2563, -0.0691], ..., [-0.6431, 0.3132, 0.7998, ..., 0.1838, -0.5938, -0.3167], [-0.7656, 0.1669, -0.4797, ..., 0.8198, -0.0617, 0.5674], [-0.5552, 0.0526, -0.4355, ..., 0.3196, -0.0943, 0.4844]], [[ 0.0735, 0.1095, 0.0338, ..., -0.2285, -0.1227, 0.7305], [ 0.3406, 1.1533, -0.4961, ..., 0.6592, -0.0627, 0.5029], [ 0.4243, -0.2150, -0.5112, ..., 0.1428, 0.3176, 0.3542], ..., [-0.1163, 0.5913, 0.5366, ..., -0.0433, -0.5415, 0.1149], [-1.0430, -0.4404, -0.1219, ..., 0.8252, -0.2891, -0.0748], [-0.6074, 0.1075, -0.5483, ..., 0.6396, -0.3655, 0.1885]], ..., [[ 0.3821, 0.3706, -0.5488, ..., 0.4717, 0.0945, 0.3152], [-0.0351, -0.3367, -0.1768, ..., -0.1508, -0.1539, 1.3281], [ 0.4395, 0.1073, -0.9546, ..., -0.5205, -0.2717, 0.5024], ..., [ 0.4058, -0.1227, 0.0346, ..., -0.3037, 0.0228, 0.0343], [ 0.7300, 0.2263, 0.2847, ..., -0.2834, 0.4648, 0.1415], [ 0.2986, -0.2256, -0.1934, ..., -0.8623, -0.0728, -0.0296]], [[ 1.0078, 0.3489, -0.3442, ..., 0.4526, 0.1292, 0.7964], [-0.3125, 0.3708, -0.1565, ..., -0.0514, -0.0635, 0.7637], [ 0.2834, 0.1792, 0.3879, ..., 0.0060, 0.4453, 0.5830], ..., [-0.2656, 0.2015, 0.5176, ..., -0.0399, -0.8179, 0.4395], [-0.1245, 0.5962, -0.1005, ..., 0.1503, 0.1385, -0.1072], [ 0.1599, -0.1763, -0.7422, ..., -0.0848, 0.6143, -0.4375]], [[ 0.4951, 0.5083, -0.8516, ..., -0.2864, -0.3550, 0.6265], [-0.0356, 0.3054, 0.4766, ..., -0.2759, 0.1088, 1.2188], [ 0.0613, -0.4197, -0.1333, ..., -0.5938, -0.1763, 0.3904], ..., [-0.1299, 0.1902, 0.7168, ..., -0.1853, -0.5698, 0.4624], [ 0.1790, 0.5703, 0.9575, ..., -0.0818, 0.4153, 0.4382], [ 0.2047, 0.1426, -0.3647, ..., -0.3909, 0.1390, -0.1846]]], device='cuda:0', dtype=torch.float16), tensor([ 0, 65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288], device='cuda:0', dtype=torch.int32), tensor([ 0, 65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288], device='cuda:0', dtype=torch.int32), 65536, 65536, 0.0, 0.15811388300841897, False, False, False, 0, None

[TheLastBen]

find out which extension is causing this, then I'll see if I can fix it

[rektobot]

all extensions off including built in and this comes out:

Traceback (most recent call last): File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 45, in f res = list(func(*args, kwargs)) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 28, in f res = func(*args, *kwargs) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/txt2img.py", line 49, in txt2img processed = process_images(p) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 471, in process_images res = process_images_inner(p) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 576, in process_images_inner samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 693, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers.py", line 529, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers.py", line 439, in launch_sampling return func() File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers.py", line 529, in samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(args, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/src/k-diffusion/k_diffusion/sampling.py", line 553, in sample_dpmpp_sde denoised = model(x, sigmas[i] * s_in, extra_args) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, *kwargs) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers.py", line 337, in forward x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]}) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(input, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/src/k-diffusion/k_diffusion/external.py", line 112, in forward eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/src/k-diffusion/k_diffusion/external.py", line 138, in get_eps return self.inner_model.apply_model(args, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/models/diffusion/ddpm.py", line 858, in apply_model x_recon = self.model(x_noisy, t, cond) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(input, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/models/diffusion/ddpm.py", line 1329, in forward out = self.diffusion_model(x, t, context=cc) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/modules/diffusionmodules/openaimodel.py", line 776, in forward h = module(h, emb, context) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, *kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/modules/diffusionmodules/openaimodel.py", line 84, in forward x = layer(x, context) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(input, kwargs) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/modules/attention.py", line 334, in forward x = block(x, context=context[i]) File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, *kwargs) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_hijack_checkpoint.py", line 4, in BasicTransformerBlock_forward return checkpoint(self._forward, x, context) File "/usr/local/lib/python3.8/dist-packages/torch/utils/checkpoint.py", line 249, in checkpoint return CheckpointFunction.apply(function, preserve, args) File "/usr/local/lib/python3.8/dist-packages/torch/utils/checkpoint.py", line 107, in forward outputs = run_function(args) File "/content/gdrive/MyDrive/sd/stablediffusion/ldm/modules/attention.py", line 272, in _forward x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(input, kwargs) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 229, in xformers_attention_forward out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None) File "/usr/local/lib/python3.8/dist-packages/xformers/ops/fmha/init.py", line 193, in memory_efficient_attention return _memory_efficient_attention( File "/usr/local/lib/python3.8/dist-packages/xformers/ops/fmha/init.py", line 289, in _memory_efficient_attention return _memory_efficient_attention_forward( File "/usr/local/lib/python3.8/dist-packages/xformers/ops/fmha/init.py", line 311, in _memory_efficient_attentionforward out, * = op.apply(inp, needs_gradient=False) File "/usr/local/lib/python3.8/dist-packages/xformers/ops/fmha/flash.py", line 240, in apply out, softmax_lse = cls.OPERATOR( File "/usr/local/lib/python3.8/dist-packages/torch/_ops.py", line 442, in call return self._op(*args, kwargs or {}) File "/usr/local/lib/python3.8/dist-packages/xformers/ops/fmha/flash.py", line 59, in _flash_fwd lse = _C_flashattention.fwd( TypeError: fwd(): incompatible function arguments. The following argument types are supported:

1. (arg0: at::Tensor, arg1: at::Tensor, arg2: at::Tensor, arg3: at::Tensor, arg4: at::Tensor, arg5: int, arg6: int, arg7: float, arg8: float, arg9: bool, arg10: bool, arg11: bool, arg12: Optional[at::Generator]) -> List[at::Tensor]

Invoked with: tensor([[[ 1.4863e+00, -7.3096e-01, -2.6953e-01, ..., -5.4053e-01, 1.5938e+00, -2.2129e+00], [-4.1162e-01, -2.8442e-01, 3.3813e-02, ..., 7.5391e-01, -2.1484e+00, -4.4019e-01], [-2.7539e-01, -6.1035e-01, 2.4841e-01, ..., 9.5605e-01, -1.3428e+00, 1.5225e+00], ..., [ 6.7139e-01, 6.0742e-01, 1.0654e+00, ..., 1.1162e+00, 3.7231e-01, 8.2861e-01], [ 9.3359e-01, -1.7480e+00, 2.2510e-01, ..., -1.1465e+00, -5.6055e-01, -1.8203e+00], [-4.6094e-01, -6.7090e-01, -8.8135e-02, ..., 1.3916e+00, -8.9941e-01, 3.3984e-01]],

    [[ 1.7676e+00, -1.0068e+00, -1.3164e+00,  ..., -6.4355e-01,
       7.0850e-01, -2.5508e+00],
     [ 8.1787e-01,  1.1240e+00,  4.9097e-01,  ...,  7.9980e-01,
      -1.2744e+00, -2.1230e+00],
     [-3.2397e-01, -1.0801e+00, -4.5996e-01,  ..., -1.6528e-01,
      -2.0430e+00,  9.9902e-01],
     ...,
     [ 1.0771e+00,  1.1025e+00,  5.0635e-01,  ...,  1.3135e+00,
       6.1035e-01,  2.8882e-01],
     [ 8.0908e-01, -1.0576e+00, -1.2646e+00,  ..., -8.5107e-01,
       1.5295e-01, -1.9561e+00],
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      -5.5029e-01, -2.3340e-01]],

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    ...,

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      -8.3350e-01,  1.8274e-01]]], device='cuda:0', dtype=torch.float16), tensor([[[ 1.8525, -1.5293,  1.0107,  ...,  0.5376,  1.2295,  0.3877],
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    ...,

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     [ 0.6255,  0.5723, -0.4202,  ...,  0.0812,  0.3787,  1.2314]]],
   device='cuda:0', dtype=torch.float16), tensor([[[-0.1268, -0.7529,  0.3347,  ..., -0.1790, -0.4607,  0.5332],
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    ...,

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     [ 1.0352,  0.0401, -0.5928,  ..., -0.7490, -0.9409, -0.2074]]],
   device='cuda:0', dtype=torch.float16), tensor([[[ 0.6426,  0.6108, -0.6528,  ..., -0.9209, -0.5771,  0.7847],
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    ...,

    [[ 0.3821,  0.3706, -0.5488,  ...,  0.4717,  0.0945,  0.3152],
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    [[ 1.0078,  0.3489, -0.3442,  ...,  0.4526,  0.1292,  0.7964],
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     [ 0.1599, -0.1763, -0.7422,  ..., -0.0848,  0.6143, -0.4375]],

    [[ 0.4951,  0.5083, -0.8516,  ..., -0.2864, -0.3550,  0.6265],
     [-0.0356,  0.3054,  0.4766,  ..., -0.2759,  0.1088,  1.2188],
     [ 0.0613, -0.4197, -0.1333,  ..., -0.5938, -0.1763,  0.3904],
     ...,
     [-0.1299,  0.1902,  0.7168,  ..., -0.1853, -0.5698,  0.4624],
     [ 0.1790,  0.5703,  0.9575,  ..., -0.0818,  0.4153,  0.4382],
     [ 0.2047,  0.1426, -0.3647,  ..., -0.3909,  0.1390, -0.1846]]],
   device='cuda:0', dtype=torch.float16), tensor([     0,  65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288],
   device='cuda:0', dtype=torch.int32), tensor([     0,  65536, 131072, 196608, 262144, 327680, 393216, 458752, 524288],
   device='cuda:0', dtype=torch.int32), 65536, 65536, 0.0, 0.15811388300841897, False, False, False, 0, None

Interrupted with signal 2 in <frame at 0x7f3d5f284ba0, file '/content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py', line 109, code wait_on_server>

[rektobot]

and restarting gradio again this was spit out:

/usr/local/lib/python3.8/dist-packages/gradio/deprecation.py:43: UserWarning: You have unused kwarg parameters in Row, please remove them: {'equal_height': True} warnings.warn( /usr/local/lib/python3.8/dist-packages/gradio/utils.py:763: UserWarning: Expected 1 arguments for function <function update_generation_info at 0x7fda5400fee0>, received 2. warnings.warn( /usr/local/lib/python3.8/dist-packages/gradio/utils.py:771: UserWarning: Expected maximum 1 arguments for function <function update_generation_info at 0x7fda5400fee0>, received 2. warnings.warn(

[rektobot]

tried local tunnel, it also gives me this, basically the same thing while trying to generate with DDIM all extensions off:

TypeError: fwd(): incompatible function arguments. The following argument types are supported:

1. (arg0: at::Tensor, arg1: at::Tensor, arg2: at::Tensor, arg3: at::Tensor, arg4: at::Tensor, arg5: int, arg6: int, arg7: float, arg8: float, arg9: bool, arg10: bool, arg11: bool, arg12: Optional[at::Generator]) -> List[at::Tensor]

should i update or downgrade tensors or python or anything like that?

[TheLastBen]

try a clean sd folder by renaming the old one

[rektobot]

i did that yesterday before the gradio issues started but i'll try that again i guess. ive been renaming the folder then just duplicating the settings csv, json and a couple of other files as well as just duping my aesthetic gradients folder and inversion embeddings folder to just drop them in instead of re-downloading everything. hasnt been an issue before but i dunno 🤷‍♂️

[rektobot]

ok i can pull gens now but it seems to be dynamic prompts causing issues. just ran a batch with ddim and now doing DPM++ SDE but i cant have the right batch size i need to reclaim the original seed position i mentioned before, if i do a batch size of 4 with 5 batches i get errors. it seems batch size needs to be 2 or 3 for me. i always have the batch number larger than the batch size. so like 5 batchs of 2 or 3. but when i do it with 5 of 4 or 8 of 4 it errors out when it wouldnt before. the new hires fix is effing slick tho, much better interface and control. color space seems accurate too