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ncsnpp-ffhq-256

Unconditional Image Generation

ScoreSdeVePipeline

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ncsnpp-ffhq-256 / config.json

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patrickvonplaten

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	{
	"_class_name": "UNet2DModel",
	"_diffusers_version": "0.0.4",
	"act_fn": "silu",
	"attention_head_dim": null,
	"block_out_channels": [
	128,
	128,
	256,
	256,
	256,
	256,
	256
	],
	"center_input_sample": true,
	"down_block_types": [
	"SkipDownBlock2D",
	"SkipDownBlock2D",
	"SkipDownBlock2D",
	"SkipDownBlock2D",
	"AttnSkipDownBlock2D",
	"SkipDownBlock2D",
	"SkipDownBlock2D"
	],
	"downsample_padding": 1,
	"flip_sin_to_cos": true,
	"freq_shift": 0,
	"in_channels": 3,
	"layers_per_block": 2,
	"mid_block_scale_factor": 1.41421356237,
	"norm_eps": 1e-06,
	"norm_num_groups": null,
	"out_channels": 3,
	"sample_size": 256,
	"time_embedding_type": "fourier",
	"up_block_types": [
	"SkipUpBlock2D",
	"SkipUpBlock2D",
	"AttnSkipUpBlock2D",
	"SkipUpBlock2D",
	"SkipUpBlock2D",
	"SkipUpBlock2D",
	"SkipUpBlock2D"
	]
	}