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kijai / ComfyUI-HunyuanVideoWrapper

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Clip model torch size mismatch #5

Closed cheezecrisp closed 13 hours ago

cheezecrisp commented 20 hours ago

Something wrong with the Clip. If it is disabled, the workflow can still run successfully, but I don't know if the result will be impacted.

got prompt Loading text encoder model (clipL) from: D:\AI\ComfyUI_windows_portable\ComfyUI\models\clip\clip-vit-large-patch14 !!! Exception during processing !!! 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

kijai commented 15 hours ago

Did you use the autodownloader or manually download the clip? I can't reproduce the issue myself.

cheezecrisp commented 13 hours ago

Did you use the autodownloader or manually download the clip? I can't reproduce the issue myself.

My bad, forgot to download those json files.