| import torch | |
| import torch.nn as nn | |
| class QwenImageLearnableQuery(nn.Module): | |
| def __init__(self, query_length: int = 64, hidden_state_dim: int = 3584, initializer_range: float = 0.02): | |
| super().__init__() | |
| self.query_length = query_length | |
| self.hidden_state_dim = hidden_state_dim | |
| self.learnable_query = nn.Parameter(torch.randn(query_length, hidden_state_dim) * initializer_range) | |
| def forward(self, batch_size: int): | |
| return self.learnable_query.unsqueeze(0).expand(batch_size, -1, -1) | |
| # model=QwenImageLearnableQuery(query_length=256) | |
| # import torch | |
| # from safetensors.torch import save_file | |
| # state_dict = model.state_dict() | |
| # save_file(state_dict, "/root/workspace/lzh/my-DiffSynth-Studio/new_module/learnable_query_256.safetensors") | |