msonali/diffusion-tutorial

1{2  "_class_name": "UNet2DModel",3  "_diffusers_version": "0.27.2",4  "act_fn": "silu",5  "add_attention": true,6  "attention_head_dim": 8,7  "attn_norm_num_groups": null,8  "block_out_channels": [9    64,10    128,11    128,12    25613  ],14  "center_input_sample": false,15  "class_embed_type": null,16  "down_block_types": [17    "DownBlock2D",18    "DownBlock2D",19    "AttnDownBlock2D",20    "AttnDownBlock2D"21  ],22  "downsample_padding": 1,23  "downsample_type": "conv",24  "dropout": 0.0,25  "flip_sin_to_cos": true,26  "freq_shift": 0,27  "in_channels": 3,28  "layers_per_block": 2,29  "mid_block_scale_factor": 1,30  "norm_eps": 1e-05,31  "norm_num_groups": 32,32  "num_class_embeds": null,33  "num_train_timesteps": null,34  "out_channels": 3,35  "resnet_time_scale_shift": "default",36  "sample_size": 32,37  "time_embedding_type": "positional",38  "up_block_types": [39    "AttnUpBlock2D",40    "AttnUpBlock2D",41    "UpBlock2D",42    "UpBlock2D"43  ],44  "upsample_type": "conv"45}46