Update config.json
Browse files- config.json +18 -13
config.json
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{
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"sample_size": 32,
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"in_channels": 3,
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"out_channels": 3,
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"layers_per_block": 2,
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"block_out_channels": [128, 256, 384, 512],
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"down_block_types": ["DownBlock2D", "AttnDownBlock2D", "DownBlock2D", "DownBlock2D"],
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"up_block_types": ["UpBlock2D", "UpBlock2D", "AttnUpBlock2D", "UpBlock2D"],
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"mid_block_scale_factor": 1,
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"act_fn": "silu",
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"attention_head_dim": 8,
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"norm_num_groups": 32,
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"norm_eps": 1e-5,
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"
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}
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{
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"sample_size": 32, // 图像大小
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"in_channels": 3, // 输入通道数
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"out_channels": 3, // 输出通道数
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"layers_per_block": 2, // 每个block的层数
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"block_out_channels": [128, 256, 384, 512], // 每个block的输出通道数
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"down_block_types": ["DownBlock2D", "AttnDownBlock2D", "DownBlock2D", "DownBlock2D"], // 下采样block类型
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"up_block_types": ["UpBlock2D", "UpBlock2D", "AttnUpBlock2D", "UpBlock2D"], // 上采样block类型
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"mid_block_scale_factor": 1, // 中间block的尺度因子
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"act_fn": "silu", // 激活函数
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"attention_head_dim": 8, // 注意力头的维度
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"norm_num_groups": 32, // 归一化中的组数
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"norm_eps": 1e-5, // 归一化中的epsilon值
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"time_embedding_type": "positional", // 时间嵌入类型
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"resnet_time_scale_shift": "default", // ResNet中的时间尺度偏移
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"use_linear_projection": false, // 是否使用线性投影
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"class_embed_type": "identity", // 类别嵌入类型
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"num_class_embeds": null, // 类别嵌入的数量
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"resnet_pre_temb_non_linearity": false // ResNet是否使用非线性层
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}
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