runtime error

Exit code: 1. Reason: orm((1024,), eps=1e-05, elementwise_affine=True) (backbone): Transformer( (resblocks): ModuleList( (0-23): 24 x ResidualAttentionBlock( (attn): MultiheadAttention( (c_qkv): Linear(in_features=1024, out_features=3072, bias=True) (c_proj): Linear(in_features=1024, out_features=1024, bias=True) (attention): QKVMultiheadAttention() ) (ln_1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (mlp): MLP( (c_fc): Linear(in_features=1024, out_features=4096, bias=True) (c_proj): Linear(in_features=4096, out_features=1024, bias=True) (gelu): GELU(approximate='none') ) (ln_2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) ) (ln_post): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (input_proj): Linear(in_features=2048, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=2048, bias=True) (clip_embed): Linear(in_features=768, out_features=1024, bias=True) ) ) shape of latent: torch.Size([1, 1048576]) instruction: Make the color of it look like rainbow noise_input: cuda:0 shape of latent: torch.Size([1, 1048576]) instruction: Make the color of it look like rainbow noise_input: cuda:0 shape of latent: torch.Size([1, 1048576]) instruction: Make the color of it look like rainbow noise_input: cuda:0 shape of latent: torch.Size([1, 1048576]) instruction: Make the color of it look like rainbow noise_input: cuda:0 {'latent': [tensor([ 0.8438, 0.2297, -0.7441, ..., -0.9058, -0.8599, -0.5117]), tensor([-0.6196, 0.4282, 0.2986, ..., -0.4888, 0.2231, -0.9814]), tensor([-0.5957, 0.8696, 0.0117, ..., -0.0931, 0.3325, -0.9712]), tensor([ 0.2681, 0.9238, 0.6548, ..., -0.6294, 0.1147, -0.9595])], 'prompt': 'a corgi', 'rand_seed_1': 456} Caching example 2/2 Optimizing all Waiting for a GPU to become available gradio.exceptions.Error: 'No GPU is currently available for you after 60s'

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