rick-roll-style / unet /config.json
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{
"_class_name": "UNet2DConditionModel",
"_diffusers_version": "0.9.0.dev0",
"_name_or_path": "/kaggle/input/sdv2768/kaggle/working/stable-diffusion-v2-768",
"act_fn": "silu",
"attention_head_dim": [
5,
10,
20,
20
],
"block_out_channels": [
320,
640,
1280,
1280
],
"center_input_sample": false,
"cross_attention_dim": 1024,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"downsample_padding": 1,
"dual_cross_attention": false,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 4,
"layers_per_block": 2,
"mid_block_scale_factor": 1,
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_class_embeds": null,
"only_cross_attention": false,
"out_channels": 4,
"sample_size": 96,
"up_block_types": [
"UpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D"
],
"upcast_attention": true,
"use_linear_projection": true
}