mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-17 09:25:47 +00:00
130 lines
8.8 KiB
JSON
130 lines
8.8 KiB
JSON
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{
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"mapping": {
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"encoder.conv_in": "encoder.conv_in",
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"encoder.down.0.block.0.norm1": "encoder.down_blocks.0.resnets.0.norm1",
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"encoder.down.0.block.0.conv1": "encoder.down_blocks.0.resnets.0.conv1",
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"encoder.down.0.block.0.norm2": "encoder.down_blocks.0.resnets.0.norm2",
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"encoder.down.0.block.0.conv2": "encoder.down_blocks.0.resnets.0.conv2",
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"encoder.down.0.block.1.norm1": "encoder.down_blocks.0.resnets.1.norm1",
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"encoder.down.0.block.1.conv1": "encoder.down_blocks.0.resnets.1.conv1",
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"encoder.down.0.block.1.norm2": "encoder.down_blocks.0.resnets.1.norm2",
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"encoder.down.0.block.1.conv2": "encoder.down_blocks.0.resnets.1.conv2",
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"encoder.down.0.downsample.conv": "encoder.down_blocks.0.downsamplers.0.conv",
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"encoder.down.1.block.0.norm1": "encoder.down_blocks.1.resnets.0.norm1",
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"encoder.down.1.block.0.conv1": "encoder.down_blocks.1.resnets.0.conv1",
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"encoder.down.1.block.0.norm2": "encoder.down_blocks.1.resnets.0.norm2",
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"encoder.down.1.block.0.conv2": "encoder.down_blocks.1.resnets.0.conv2",
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"encoder.down.1.block.0.nin_shortcut": "encoder.down_blocks.1.resnets.0.conv_shortcut",
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"encoder.down.1.block.1.norm1": "encoder.down_blocks.1.resnets.1.norm1",
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"encoder.down.1.block.1.conv1": "encoder.down_blocks.1.resnets.1.conv1",
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"encoder.down.1.block.1.norm2": "encoder.down_blocks.1.resnets.1.norm2",
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"encoder.down.1.block.1.conv2": "encoder.down_blocks.1.resnets.1.conv2",
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"encoder.down.1.downsample.conv": "encoder.down_blocks.1.downsamplers.0.conv",
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"encoder.down.2.block.0.norm1": "encoder.down_blocks.2.resnets.0.norm1",
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"encoder.down.2.block.0.conv1": "encoder.down_blocks.2.resnets.0.conv1",
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"encoder.down.2.block.0.norm2": "encoder.down_blocks.2.resnets.0.norm2",
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"encoder.down.2.block.0.conv2": "encoder.down_blocks.2.resnets.0.conv2",
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"encoder.down.2.block.0.nin_shortcut": "encoder.down_blocks.2.resnets.0.conv_shortcut",
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"encoder.down.2.block.1.norm1": "encoder.down_blocks.2.resnets.1.norm1",
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"encoder.down.2.block.1.conv1": "encoder.down_blocks.2.resnets.1.conv1",
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"encoder.down.2.block.1.norm2": "encoder.down_blocks.2.resnets.1.norm2",
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"encoder.down.2.block.1.conv2": "encoder.down_blocks.2.resnets.1.conv2",
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"encoder.down.2.downsample.conv": "encoder.down_blocks.2.downsamplers.0.conv",
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"encoder.down.3.block.0.norm1": "encoder.down_blocks.3.resnets.0.norm1",
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"encoder.down.3.block.0.conv1": "encoder.down_blocks.3.resnets.0.conv1",
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"encoder.down.3.block.0.norm2": "encoder.down_blocks.3.resnets.0.norm2",
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"encoder.down.3.block.0.conv2": "encoder.down_blocks.3.resnets.0.conv2",
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"encoder.down.3.block.1.norm1": "encoder.down_blocks.3.resnets.1.norm1",
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"encoder.down.3.block.1.conv1": "encoder.down_blocks.3.resnets.1.conv1",
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"encoder.down.3.block.1.norm2": "encoder.down_blocks.3.resnets.1.norm2",
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"encoder.down.3.block.1.conv2": "encoder.down_blocks.3.resnets.1.conv2",
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"encoder.mid.block_1.norm1": "encoder.mid_block.resnets.0.norm1",
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"encoder.mid.block_1.conv1": "encoder.mid_block.resnets.0.conv1",
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"encoder.mid.block_1.norm2": "encoder.mid_block.resnets.0.norm2",
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"encoder.mid.block_1.conv2": "encoder.mid_block.resnets.0.conv2",
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"encoder.mid.attn_1.norm": "encoder.mid_block.attentions.0.group_norm",
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"encoder.mid.attn_1.q": "encoder.mid_block.attentions.0.to_q",
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"encoder.mid.attn_1.k": "encoder.mid_block.attentions.0.to_k",
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"encoder.mid.attn_1.v": "encoder.mid_block.attentions.0.to_v",
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"encoder.mid.attn_1.proj_out": "encoder.mid_block.attentions.0.to_out.0",
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"encoder.mid.block_2.norm1": "encoder.mid_block.resnets.1.norm1",
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"encoder.mid.block_2.conv1": "encoder.mid_block.resnets.1.conv1",
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"encoder.mid.block_2.norm2": "encoder.mid_block.resnets.1.norm2",
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"encoder.mid.block_2.conv2": "encoder.mid_block.resnets.1.conv2",
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"encoder.norm_out": "encoder.conv_norm_out",
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"encoder.conv_out": "encoder.conv_out",
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"quant_conv": "quant_conv",
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"post_quant_conv": "post_quant_conv",
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"decoder.conv_in": "decoder.conv_in",
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"decoder.mid.block_1.norm1": "decoder.mid_block.resnets.0.norm1",
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"decoder.mid.block_1.conv1": "decoder.mid_block.resnets.0.conv1",
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"decoder.mid.block_1.norm2": "decoder.mid_block.resnets.0.norm2",
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"decoder.mid.block_1.conv2": "decoder.mid_block.resnets.0.conv2",
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"decoder.mid.attn_1.norm": "decoder.mid_block.attentions.0.group_norm",
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"decoder.mid.attn_1.q": "decoder.mid_block.attentions.0.to_q",
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"decoder.mid.attn_1.k": "decoder.mid_block.attentions.0.to_k",
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"decoder.mid.attn_1.v": "decoder.mid_block.attentions.0.to_v",
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"decoder.mid.attn_1.proj_out": "decoder.mid_block.attentions.0.to_out.0",
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"decoder.mid.block_2.norm1": "decoder.mid_block.resnets.1.norm1",
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"decoder.mid.block_2.conv1": "decoder.mid_block.resnets.1.conv1",
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"decoder.mid.block_2.norm2": "decoder.mid_block.resnets.1.norm2",
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"decoder.mid.block_2.conv2": "decoder.mid_block.resnets.1.conv2",
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"decoder.up.3.block.0.norm1": "decoder.up_blocks.0.resnets.0.norm1",
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"decoder.up.3.block.0.conv1": "decoder.up_blocks.0.resnets.0.conv1",
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"decoder.up.3.block.0.norm2": "decoder.up_blocks.0.resnets.0.norm2",
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"decoder.up.3.block.0.conv2": "decoder.up_blocks.0.resnets.0.conv2",
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"decoder.up.3.block.1.norm1": "decoder.up_blocks.0.resnets.1.norm1",
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"decoder.up.3.block.1.conv1": "decoder.up_blocks.0.resnets.1.conv1",
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"decoder.up.3.block.1.norm2": "decoder.up_blocks.0.resnets.1.norm2",
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"decoder.up.3.block.1.conv2": "decoder.up_blocks.0.resnets.1.conv2",
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"decoder.up.3.block.2.norm1": "decoder.up_blocks.0.resnets.2.norm1",
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"decoder.up.3.block.2.conv1": "decoder.up_blocks.0.resnets.2.conv1",
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"decoder.up.3.block.2.norm2": "decoder.up_blocks.0.resnets.2.norm2",
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"decoder.up.3.block.2.conv2": "decoder.up_blocks.0.resnets.2.conv2",
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"decoder.up.3.upsample.conv": "decoder.up_blocks.0.upsamplers.0.conv",
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"decoder.up.2.block.0.norm1": "decoder.up_blocks.1.resnets.0.norm1",
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"decoder.up.2.block.0.conv1": "decoder.up_blocks.1.resnets.0.conv1",
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"decoder.up.2.block.0.norm2": "decoder.up_blocks.1.resnets.0.norm2",
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"decoder.up.2.block.0.conv2": "decoder.up_blocks.1.resnets.0.conv2",
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"decoder.up.2.block.1.norm1": "decoder.up_blocks.1.resnets.1.norm1",
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"decoder.up.2.block.1.conv1": "decoder.up_blocks.1.resnets.1.conv1",
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"decoder.up.2.block.1.norm2": "decoder.up_blocks.1.resnets.1.norm2",
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"decoder.up.2.block.1.conv2": "decoder.up_blocks.1.resnets.1.conv2",
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"decoder.up.2.block.2.norm1": "decoder.up_blocks.1.resnets.2.norm1",
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"decoder.up.2.block.2.conv1": "decoder.up_blocks.1.resnets.2.conv1",
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"decoder.up.2.block.2.norm2": "decoder.up_blocks.1.resnets.2.norm2",
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"decoder.up.2.block.2.conv2": "decoder.up_blocks.1.resnets.2.conv2",
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"decoder.up.2.upsample.conv": "decoder.up_blocks.1.upsamplers.0.conv",
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"decoder.up.1.block.0.norm1": "decoder.up_blocks.2.resnets.0.norm1",
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"decoder.up.1.block.0.conv1": "decoder.up_blocks.2.resnets.0.conv1",
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"decoder.up.1.block.0.norm2": "decoder.up_blocks.2.resnets.0.norm2",
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"decoder.up.1.block.0.conv2": "decoder.up_blocks.2.resnets.0.conv2",
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"decoder.up.1.block.0.nin_shortcut": "decoder.up_blocks.2.resnets.0.conv_shortcut",
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"decoder.up.1.block.1.norm1": "decoder.up_blocks.2.resnets.1.norm1",
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"decoder.up.1.block.1.conv1": "decoder.up_blocks.2.resnets.1.conv1",
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"decoder.up.1.block.1.norm2": "decoder.up_blocks.2.resnets.1.norm2",
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"decoder.up.1.block.1.conv2": "decoder.up_blocks.2.resnets.1.conv2",
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"decoder.up.1.block.2.norm1": "decoder.up_blocks.2.resnets.2.norm1",
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"decoder.up.1.block.2.conv1": "decoder.up_blocks.2.resnets.2.conv1",
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"decoder.up.1.block.2.norm2": "decoder.up_blocks.2.resnets.2.norm2",
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"decoder.up.1.block.2.conv2": "decoder.up_blocks.2.resnets.2.conv2",
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"decoder.up.1.upsample.conv": "decoder.up_blocks.2.upsamplers.0.conv",
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"decoder.up.0.block.0.norm1": "decoder.up_blocks.3.resnets.0.norm1",
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"decoder.up.0.block.0.conv1": "decoder.up_blocks.3.resnets.0.conv1",
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"decoder.up.0.block.0.norm2": "decoder.up_blocks.3.resnets.0.norm2",
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"decoder.up.0.block.0.conv2": "decoder.up_blocks.3.resnets.0.conv2",
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"decoder.up.0.block.0.nin_shortcut": "decoder.up_blocks.3.resnets.0.conv_shortcut",
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"decoder.up.0.block.1.norm1": "decoder.up_blocks.3.resnets.1.norm1",
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"decoder.up.0.block.1.conv1": "decoder.up_blocks.3.resnets.1.conv1",
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"decoder.up.0.block.1.norm2": "decoder.up_blocks.3.resnets.1.norm2",
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"decoder.up.0.block.1.conv2": "decoder.up_blocks.3.resnets.1.conv2",
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"decoder.up.0.block.2.norm1": "decoder.up_blocks.3.resnets.2.norm1",
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"decoder.up.0.block.2.conv1": "decoder.up_blocks.3.resnets.2.conv1",
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"decoder.up.0.block.2.norm2": "decoder.up_blocks.3.resnets.2.norm2",
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"decoder.up.0.block.2.conv2": "decoder.up_blocks.3.resnets.2.conv2",
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"decoder.norm_out": "decoder.conv_norm_out",
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"decoder.conv_out": "decoder.conv_out"
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},
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"source_aliases": {},
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"ignorable_prefixes": []
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}
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