-0.0302, -0.0240, -0.0362]],
 'clip_l': tensor([[ 0.0023,  0.0192,  0.0213,  ..., -0.0385,  0.0048, -0.0011],
         ...,
         [ 0.0475, -0.0508, -0.0145,  ...,  0.0070, -0.0089, -0.0163]], There are two tensors, "clip_g" and "clip_l".
"clip_g" corresponds to the bigger text encoder in SDXL and refers to
pipe.text_encoder_2 and "clip_l" refers to pipe.text_encoder. Now you can load each tensor separately by passing them along with the cor