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  1. dreambooth/Vanyakeshev/Vanyakeshev.yaml +70 -0
  2. dreambooth/Vanyakeshev/backups/db_config_0.json +114 -0
  3. dreambooth/Vanyakeshev/backups/db_config_11824.json +114 -0
  4. dreambooth/Vanyakeshev/backups/db_config_3900.json +114 -0
  5. dreambooth/Vanyakeshev/backups/db_config_7924.json +114 -0
  6. dreambooth/Vanyakeshev/cache/image_cache_512.safetensors +3 -0
  7. dreambooth/Vanyakeshev/checkpoints/checkpoint-14424/optimizer.bin +3 -0
  8. dreambooth/Vanyakeshev/checkpoints/checkpoint-14424/pytorch_model.bin +3 -0
  9. dreambooth/Vanyakeshev/checkpoints/checkpoint-14424/pytorch_model_1.bin +3 -0
  10. dreambooth/Vanyakeshev/checkpoints/checkpoint-14424/random_states_0.pkl +3 -0
  11. dreambooth/Vanyakeshev/checkpoints/checkpoint-14424/scaler.pt +3 -0
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dreambooth/Vanyakeshev/Vanyakeshev.yaml ADDED
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+ model:
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+ base_learning_rate: 1.0e-04
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+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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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: "images"
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+ cond_stage_key: "input_ids"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: true # Note: different from the one we trained before
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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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+
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+ scheduler_config: # 10000 warmup steps
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+ target: ldm.lr_scheduler.LambdaLinearScheduler
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+ params:
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+ warm_up_steps: [ 10000 ]
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+ cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
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+ f_start: [ 1.e-6 ]
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+ f_max: [ 1. ]
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+ f_min: [ 1. ]
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+
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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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+ 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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+ - 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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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
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+ "model_name": "Vanyakeshev",
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