Datasets:

wwt117
/

GeneMAN

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train · 1 rows

_class_name string	_diffusers_version string	_name_or_path string	act_fn string	addition_embed_type null	addition_embed_type_num_heads int64	addition_time_embed_dim null	attention_head_dim int64	block_out_channels list	center_input_sample bool	class_embed_type null	class_embeddings_concat bool	conv_in_kernel int64	conv_out_kernel int64	cross_attention_dim int64	cross_attention_norm null	decay float64	down_block_types list	downsample_padding int64	dual_cross_attention bool	encoder_hid_dim null	encoder_hid_dim_type null	flip_sin_to_cos bool	freq_shift int64	in_channels int64	inv_gamma float64	layers_per_block int64	mid_block_only_cross_attention null	mid_block_scale_factor int64	mid_block_type string	min_decay float64	norm_eps float64	norm_num_groups int64	num_attention_heads null	num_class_embeds null	only_cross_attention bool	optimization_step int64	out_channels int64	power float64	projection_class_embeddings_input_dim null	resnet_out_scale_factor float64	resnet_skip_time_act bool	resnet_time_scale_shift string	sample_size int64	time_cond_proj_dim null	time_embedding_act_fn null	time_embedding_dim null	time_embedding_type string	timestep_post_act null	transformer_layers_per_block int64	up_block_types list	upcast_attention bool	update_after_step int64	use_ema_warmup bool	use_linear_projection bool
UNet2DConditionModel	0.19.0.dev0		silu	null	64	null	8	[ 320, 640, 1280, 1280 ]	false	null	false	3	3	768	null	0.9999	[ "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D" ]	1	false	null	null	true	0	4	1	2	null	1	UNetMidBlock2DCrossAttn	0	0.00001	32	null	null	false	500	4	0.666667	null	1	false	default	64	null	null	null	positional	null	1	[ "UpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D" ]	false	0	false	false

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