SD3 latents error 'tuple' object has no attribute 'to' issue on stable_diffusion_3/pipeline_stable_diffusion_3.py

script to produce:

```
image = pipe(prompt="", negative_prompt="", guidance_scale=1.,
num_inference_steps=20, latents=inv_latents)
```

inv_latents value print:
```

(tensor([[[[-0.8428, -0.8203, -0.8325, ..., -0.8325, -0.8706, -0.8521],
[-0.8511, -0.7632, -0.8467, ..., -0.8008, -0.8745, -0.7905],
[-0.8369, -0.8174, -0.8281, ..., -0.8462, -0.8765, -0.8521],
...,
[-0.8110, -0.7686, -0.8145, ..., -0.7793, -0.8638, -0.7783],
[-0.8770, -0.8442, -0.8525, ..., -0.8672, -0.8745, -0.8862],
[-0.8252, -0.7676, -0.8247, ..., -0.7769, -0.8599, -0.7729]],

[[ 0.2629, 0.2347, 0.2681, ..., 0.2496, 0.2795, 0.2344],
[ 0.2366, 0.1709, 0.2303, ..., 0.1785, 0.2410, 0.1726],
[ 0.2622, 0.2383, 0.2644, ..., 0.2512, 0.2844, 0.2454],
...,
[ 0.2448, 0.1589, 0.2306, ..., 0.1731, 0.2385, 0.1768],
[ 0.2634, 0.2157, 0.2786, ..., 0.2510, 0.2832, 0.2466],
[ 0.2473, 0.1547, 0.2256, ..., 0.1705, 0.2375, 0.1667]],

[[-0.4492, -0.3923, -0.4451, ..., -0.3835, -0.4512, -0.3704],
[-0.5542, -0.5742, -0.5522, ..., -0.5449, -0.5347, -0.5562],
[-0.4590, -0.3870, -0.4697, ..., -0.3794, -0.4258, -0.3694],
...,
[-0.5405, -0.5596, -0.5337, ..., -0.5293, -0.5293, -0.5337],
[-0.4358, -0.3608, -0.4524, ..., -0.3442, -0.4343, -0.3508],
[-0.5317, -0.5728, -0.5352, ..., -0.5469, -0.5273, -0.5386]],

...,

[[ 1.6729, 1.7832, 1.6689, ..., 1.7676, 1.6572, 1.7568],
[ 1.8535, 1.8691, 1.8604, ..., 1.8613, 1.8760, 1.8320],
[ 1.6816, 1.7891, 1.6729, ..., 1.7812, 1.6787, 1.7559],
...,
[ 1.8281, 1.8496, 1.8311, ..., 1.8311, 1.8359, 1.8086],
[ 1.6758, 1.7832, 1.6523, ..., 1.7500, 1.6406, 1.7402],
[ 1.8066, 1.8389, 1.8398, ..., 1.8281, 1.8359, 1.8008]],

[[ 1.6436, 1.6270, 1.6504, ..., 1.6289, 1.6533, 1.6240],
[ 1.7275, 1.6943, 1.7227, ..., 1.6904, 1.7334, 1.6826],
[ 1.6406, 1.6191, 1.6465, ..., 1.6240, 1.6553, 1.6162],
...,
[ 1.7012, 1.6816, 1.7080, ..., 1.6553, 1.7100, 1.6465],
[ 1.6611, 1.6299, 1.6641, ..., 1.6289, 1.6572, 1.6367],
[ 1.7070, 1.6729, 1.7031, ..., 1.6494, 1.7197, 1.6436]],

[[ 1.5859, 1.5527, 1.5752, ..., 1.5586, 1.5547, 1.5557],
[ 1.5332, 1.6621, 1.5391, ..., 1.6641, 1.4902, 1.6748],
[ 1.5674, 1.5596, 1.5684, ..., 1.5479, 1.5439, 1.5547],
...,
[ 1.5156, 1.6367, 1.5176, ..., 1.6611, 1.4619, 1.6660],
[ 1.5566, 1.5576, 1.5693, ..., 1.5518, 1.5439, 1.5420],
[ 1.5137, 1.6328, 1.5205, ..., 1.6514, 1.4697, 1.6602]]]],
device='cuda:0', dtype=torch.float16),)

```

Bắt đầu trong stable_diffusion_3/pipeline_stable_diffusion_3.py và tái hiện lời gọi đã được báo cáo với giá trị latents được cung cấp. Theo dõi cách pipeline xử lý latents và xác nhận rằng lời gọi không còn gây ra lỗi thuộc tính tuple đã được báo cáo.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.