mirror of
https://github.com/Stability-AI/stablediffusion.git
synced 2024-12-22 15:44:58 +00:00
83 lines
2.2 KiB
YAML
83 lines
2.2 KiB
YAML
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model:
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base_learning_rate: 1.0e-04
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target: ldm.models.diffusion.ddpm.ImageEmbeddingConditionedLatentDiffusion
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params:
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embedding_dropout: 0.25
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parameterization: "v"
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linear_start: 0.00085
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linear_end: 0.0120
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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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image_size: 96
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channels: 4
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cond_stage_trainable: false
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conditioning_key: crossattn-adm
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scale_factor: 0.18215
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monitor: val/loss_simple_ema
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use_ema: False
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embedder_config:
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target: ldm.modules.encoders.modules.ClipImageEmbedder
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params:
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model: "ViT-L/14"
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noise_aug_config:
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target: ldm.modules.encoders.modules.CLIPEmbeddingNoiseAugmentation
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params:
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clip_stats_path: "checkpoints/karlo_models/ViT-L-14_stats.th"
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timestep_dim: 768
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noise_schedule_config:
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timesteps: 1000
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beta_schedule: squaredcos_cap_v2
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unet_config:
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target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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params:
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num_classes: "sequential"
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adm_in_channels: 1536
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use_checkpoint: True
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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_head_channels: 64 # need to fix for flash-attn
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use_spatial_transformer: True
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use_linear_in_transformer: True
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transformer_depth: 1
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context_dim: 1024
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legacy: False
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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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attn_type: "vanilla-xformers"
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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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- 1
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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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cond_stage_config:
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target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
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params:
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freeze: True
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layer: "penultimate"
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