upload configs/kermany/sample_sdvae.yaml
Browse files
configs/kermany/sample_sdvae.yaml
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stage_1:
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target: stage1.VAE
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params:
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vae_type: sdvae-mse
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resolution: 256
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sample_mode: mode
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stage_2:
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target: stage2.models.DDT.DiTwDDTHeadIG
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params:
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input_size: 32
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patch_size:
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- 2
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- 2
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in_channels: 4
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hidden_size:
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- 1440
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- 2048
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depth:
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- 28
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- 2
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num_heads:
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- 20
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- 16
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mlp_ratio: 4.0
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base_model_depth: 8
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ckpt: /data/temp/qinshengqian/c3/Code/RAEv2/results/stage2/KERMANY_sdvae/checkpoints/ep-0000050.pt
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conditioning:
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type: label
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cfg_dropout_prob: 0.1
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arch:
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num_t_tokens: 4
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num_c_tokens: 8
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transport:
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prediction: x
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time_dist_type: logit-normal_0_1
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sampler:
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num_steps: 50
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guidance:
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cfg:
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scale: 1.0
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t_min: 0.0
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t_max: 1.0
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dataset:
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target: imagenet
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type: hf
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data_dir: /data/temp/qinshengqian/c3/data/kermany2018-arrow-256
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split: train
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condition_type: label
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shared_tmpdir: ~/tmp
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training:
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epochs: 200
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global_batch_size: 256
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grad_accum_steps: 4
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ema_decay: 0.9995
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num_workers: 4
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log_interval: 50
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checkpoint_interval: 5
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sample_every: 100000
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clip_grad: 1.0
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global_seed: 42
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optimizer:
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type: gmuon
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lr: 0.0002
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momentum: 0.95
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nesterov: true
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ns_coefficients_preset: POLAR_EXPRESS_COEFFICIENTS
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ns_use_kernels: false
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weight_decay: 0.0
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scheduler:
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type: linear
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warmup_epochs: 10
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decay_end_epoch: 150
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base_lr: 0.0002
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final_lr: 2.0e-05
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warmup_from_zero: false
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image_size: 256
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eval:
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eval_interval: 100000
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eval_model: false
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eval_dir: results/stage2/eval
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datasets: {}
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misc:
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latent_size:
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- 4
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- 32
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- 32
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num_classes: 4
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time_dist_shift_dim: 4096
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time_dist_shift_base: 4096
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