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Error(s) in loading state_dict for CLIPTextModel: #13

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nitinmukesh opened this issue Dec 4, 2024 · 4 comments
Closed

Error(s) in loading state_dict for CLIPTextModel: #13

nitinmukesh opened this issue Dec 4, 2024 · 4 comments

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@nitinmukesh
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What am I doing wrong?
image

DownloadAndLoadHyVideoTextEncoder
Error(s) in loading state_dict for CLIPTextModel:
size mismatch for text_model.embeddings.token_embedding.weight: copying a param with shape torch.Size([49408, 768]) from checkpoint, the shape in current model is torch.Size([49408, 512]).
size mismatch for text_model.embeddings.position_embedding.weight: copying a param with shape torch.Size([77, 768]) from checkpoint, the shape in current model is torch.Size([77, 512]).
size mismatch for text_model.encoder.layers.0.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.0.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.0.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.0.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.0.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.0.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.0.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.0.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.0.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.1.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.1.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.1.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.1.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.1.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.1.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.1.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.1.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.2.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.2.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.2.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.2.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.2.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.2.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.2.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.2.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.3.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.3.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.3.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.3.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.3.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.3.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.3.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.3.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.4.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.4.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.4.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.4.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.4.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.4.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.4.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.4.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.5.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.5.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.5.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.5.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.5.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.5.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.5.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.5.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.6.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.6.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.6.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.6.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.6.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.6.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.6.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.6.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.7.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.7.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.7.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.7.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.7.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.7.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.7.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.7.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.8.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.8.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.8.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.8.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.8.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.8.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.8.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.8.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.9.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.9.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.9.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.9.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.9.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.9.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.9.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.9.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.10.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.10.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.10.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.10.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.10.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.10.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.10.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.10.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.self_attn.k_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.11.self_attn.k_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.self_attn.v_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.11.self_attn.v_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.self_attn.q_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.11.self_attn.q_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.self_attn.out_proj.weight: copying a param with shape torch.Size([768, 768]) from checkpoint, the shape in current model is torch.Size([512, 512]).
size mismatch for text_model.encoder.layers.11.self_attn.out_proj.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.layer_norm1.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.layer_norm1.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.mlp.fc1.weight: copying a param with shape torch.Size([3072, 768]) from checkpoint, the shape in current model is torch.Size([2048, 512]).
size mismatch for text_model.encoder.layers.11.mlp.fc1.bias: copying a param with shape torch.Size([3072]) from checkpoint, the shape in current model is torch.Size([2048]).
size mismatch for text_model.encoder.layers.11.mlp.fc2.weight: copying a param with shape torch.Size([768, 3072]) from checkpoint, the shape in current model is torch.Size([512, 2048]).
size mismatch for text_model.encoder.layers.11.mlp.fc2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.layer_norm2.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.encoder.layers.11.layer_norm2.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.final_layer_norm.weight: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for text_model.final_layer_norm.bias: copying a param with shape torch.Size([768]) from checkpoint, the shape in current model is torch.Size([512]).
You may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method.
@AshD
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AshD commented Dec 4, 2024

+1 same error

@AshD
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AshD commented Dec 4, 2024

I fixed this by running
git clone https://huggingface.co/openai/clip-vit-large-patch14
in ComfyUI/models/clip folder

@kijai
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kijai commented Dec 4, 2024

Possibly missing the config files for the clip model indeed.

@nitinmukesh
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I fixed this by running git clone https://huggingface.co/openai/clip-vit-large-patch14 in ComfyUI/models/clip folder

Worked. Thank you.

@nitinmukesh nitinmukesh mentioned this issue Dec 5, 2024
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@doogyhatts doogyhatts mentioned this issue Dec 5, 2024
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@nitinmukesh nitinmukesh mentioned this issue Dec 5, 2024
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@AshD @nitinmukesh @kijai