Update config.json

config.json

@@ -1,20 +1,20 @@
 {
-  "sample_size": 32,  // 图像大小
-  "in_channels": 3,   // 输入通道数
-  "out_channels": 3,  // 输出通道数
-  "layers_per_block": 2,  // 每个block的层数
-  "block_out_channels": [128, 256, 384, 512],  // 每个block的输出通道数
-  "down_block_types": ["DownBlock2D", "AttnDownBlock2D", "DownBlock2D", "DownBlock2D"],  // 下采样block类型
-  "up_block_types": ["UpBlock2D", "UpBlock2D", "AttnUpBlock2D", "UpBlock2D"],  // 上采样block类型
-  "mid_block_scale_factor": 1,  // 中间block的尺度因子
-  "act_fn": "silu",  // 激活函数
-  "attention_head_dim": 8,  // 注意力头的维度
-  "norm_num_groups": 32,  // 归一化中的组数
-  "norm_eps": 1e-5,  // 归一化中的epsilon值
-  "time_embedding_type": "positional",  // 时间嵌入类型
-  "resnet_time_scale_shift": "default",  // ResNet中的时间尺度偏移
-  "use_linear_projection": false,  // 是否使用线性投影
-  "class_embed_type": "identity",  // 类别嵌入类型
-  "num_class_embeds": null,  // 类别嵌入的数量
-  "resnet_pre_temb_non_linearity": false  // ResNet是否使用非线性层
+  "sample_size": 32,
+  "in_channels": 3,
+  "out_channels": 3,
+  "layers_per_block": 2,
+  "block_out_channels": [128, 256, 384, 512],
+  "down_block_types": ["DownBlock2D", "AttnDownBlock2D", "DownBlock2D", "DownBlock2D"],
+  "up_block_types": ["UpBlock2D", "UpBlock2D", "AttnUpBlock2D", "UpBlock2D"],
+  "mid_block_scale_factor": 1,
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "norm_num_groups": 32,
+  "norm_eps": 1e-5,
+  "time_embedding_type": "positional",
+  "resnet_time_scale_shift": "default",
+  "use_linear_projection": false,
+  "class_embed_type": "identity",
+  "num_class_embeds": null,
+  "resnet_pre_temb_non_linearity": false
 }