camenduru commited on
Commit
ec4170b
1 Parent(s): 2e01957

thanks to lllyasviel ❤

Browse files
README.md ADDED
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+ ---
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+ license: openrail
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+ ---
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+
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+ This is the model files for [ControlNet 1.1](https://github.com/lllyasviel/ControlNet-v1-1-nightly).
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+ This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.
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+ model:
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+ target: cldm.cldm.ControlLDM
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+ params:
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ log_every_t: 200
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+
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+ control_stage_config:
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+ target: cldm.cldm.ControlNet
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ hint_channels: 3
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ unet_config:
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+ target: cldm.cldm.ControlledUnetModel
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
58
+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 2
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ model:
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+ target: cldm.cldm.ControlLDM
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+ params:
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+ global_average_pooling: True
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+
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+ control_stage_config:
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+ target: cldm.cldm.ControlNet
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ hint_channels: 3
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ unet_config:
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+ target: cldm.cldm.ControlledUnetModel
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ target: cldm.cldm.ControlLDM
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ cond_stage_key: "txt"
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+ target: cldm.cldm.ControlNet
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+ in_channels: 4
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+ out_channels: 4
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ resolution: 256
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ target: cldm.cldm.ControlLDM
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+ params:
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+
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+ control_stage_config:
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+ target: cldm.cldm.ControlNet
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+ params:
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+ in_channels: 4
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+ hint_channels: 3
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+ transformer_depth: 1
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+ in_channels: 4
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+ out_channels: 4
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ resolution: 256
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+ lossconfig:
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+ target: torch.nn.Identity
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ target: cldm.cldm.ControlLDM
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+
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+ target: cldm.cldm.ControlNet
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+ params:
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+ num_heads: 8
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ out_channels: 4
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ - 2
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
79
+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ target: cldm.cldm.ControlLDM
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+ params:
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ timesteps: 1000
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+ first_stage_key: "jpg"
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+ control_key: "hint"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: false
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False
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+ only_mid_control: False
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+
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+ target: cldm.cldm.ControlNet
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+ params:
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+ in_channels: 4
26
+ hint_channels: 3
27
+ model_channels: 320
28
+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+ params:
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
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+ context_dim: 768
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+ use_checkpoint: True
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ double_z: true
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: []
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ model:
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+ target: cldm.cldm.ControlLDM
3
+ params:
4
+ linear_start: 0.00085
5
+ linear_end: 0.0120
6
+ num_timesteps_cond: 1
7
+ log_every_t: 200
8
+ timesteps: 1000
9
+ first_stage_key: "jpg"
10
+ cond_stage_key: "txt"
11
+ control_key: "hint"
12
+ image_size: 64
13
+ channels: 4
14
+ cond_stage_trainable: false
15
+ conditioning_key: crossattn
16
+ monitor: val/loss_simple_ema
17
+ scale_factor: 0.18215
18
+ use_ema: False
19
+ only_mid_control: False
20
+
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+ control_stage_config:
22
+ target: cldm.cldm.ControlNet
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+ params:
24
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+ in_channels: 4
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+ hint_channels: 3
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
32
+ use_spatial_transformer: True
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+ transformer_depth: 1
34
+ context_dim: 768
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+ use_checkpoint: True
36
+ legacy: False
37
+
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+ unet_config:
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+ target: cldm.cldm.ControlledUnetModel
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+ params:
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+ image_size: 32 # unused
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_heads: 8
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+ use_spatial_transformer: True
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+ transformer_depth: 1
51
+ context_dim: 768
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+ use_checkpoint: True
53
+ legacy: False
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+
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+ first_stage_config:
56
+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
58
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+
55
+ first_stage_config:
56
+ target: ldm.models.autoencoder.AutoencoderKL
57
+ params:
58
+ embed_dim: 4
59
+ monitor: val/rec_loss
60
+ ddconfig:
61
+ double_z: true
62
+ z_channels: 4
63
+ resolution: 256
64
+ in_channels: 3
65
+ out_ch: 3
66
+ ch: 128
67
+ ch_mult:
68
+ - 1
69
+ - 2
70
+ - 4
71
+ - 4
72
+ num_res_blocks: 2
73
+ attn_resolutions: []
74
+ dropout: 0.0
75
+ lossconfig:
76
+ target: torch.nn.Identity
77
+
78
+ cond_stage_config:
79
+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder