Update config file
Browse files
ddpm_celebahq/config-2023-03-09-21-50-59.yaml
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data:
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img_channels: 3
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img_size: 256
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name: CelebA-HQ
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dataloader:
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micro_batch: 8
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num_workers: 4
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pin_memory: true
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prefetch_factor: 2
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diffusion:
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beta_end: 0.02
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beta_schedule: linear
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beta_start: 0.0001
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objective: pred_eps
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total_steps: 1000
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var_type: fixed_small
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model:
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skip_steps: null
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weights: null
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seed: 2022
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train:
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batch_size: 64
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clip_grad_norm: 1.0
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optim:
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lr: 2.0e-05
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type: Adam
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print_freq: 400
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resume: null
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sample_freq: 5000
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save_freq: 10000
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seed: 2022
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data:
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target: datasets.celebahq.CelebAHQ
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params:
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root: /data/fengxin/xuyifeng/data/CelebA-HQ/
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img_size: 256
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img_channels: 3
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dataloader:
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num_workers: 4
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pin_memory: true
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prefetch_factor: 2
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model:
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target: models.unet.UNet
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params:
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in_channels: 3
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out_channels: 3
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dim: 128
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dim_mults:
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- 1
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- 1
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- 2
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- 2
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- 4
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- 4
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use_attn:
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- false
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- false
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- false
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- false
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- true
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- false
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num_res_blocks: 2
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n_heads: 1
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dropout: 0.0
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diffusion:
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target: diffusions.ddpm.DDPM
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params:
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total_steps: 1000
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beta_schedule: linear
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beta_start: 0.0001
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beta_end: 0.02
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objective: pred_eps
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var_type: fixed_small
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train:
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n_steps: 500000
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batch_size: 64
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micro_batch: 8
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clip_grad_norm: 1.0
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ema_decay: 0.9999
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ema_gradual: true
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print_freq: 400
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save_freq: 10000
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sample_freq: 5000
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n_samples: 36
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optim:
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target: torch.optim.Adam
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params:
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lr: 2.0e-05
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ddpm_celebahq/config-2023-03-14-11-16-58.yaml
CHANGED
@@ -1,54 +1,58 @@
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data:
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-
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img_channels: 3
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img_size: 256
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name: CelebA-HQ
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dataloader:
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micro_batch: 8
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num_workers: 4
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pin_memory: true
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prefetch_factor: 2
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diffusion:
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beta_end: 0.02
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beta_schedule: linear
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beta_start: 0.0001
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objective: pred_eps
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total_steps: 1000
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var_type: fixed_small
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model:
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train:
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batch_size: 64
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clip_grad_norm: 1.0
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optim:
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lr: 2.0e-05
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type: Adam
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print_freq: 400
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resume: ./runs/ddpm_celebahq/ckpt/step349999/
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sample_freq: 5000
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save_freq: 10000
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seed: 2022
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data:
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target: datasets.celebahq.CelebAHQ
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params:
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root: /data/fengxin/xuyifeng/data/CelebA-HQ/
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img_size: 256
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img_channels: 3
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dataloader:
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num_workers: 4
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pin_memory: true
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prefetch_factor: 2
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model:
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target: models.unet.UNet
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params:
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in_channels: 3
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out_channels: 3
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dim: 128
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dim_mults:
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- 1
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- 1
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- 2
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- 2
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- 4
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- 4
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use_attn:
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- false
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- false
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- false
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- false
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- true
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- false
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num_res_blocks: 2
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n_heads: 1
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dropout: 0.0
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diffusion:
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target: diffusions.ddpm.DDPM
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params:
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total_steps: 1000
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beta_schedule: linear
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beta_start: 0.0001
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+
beta_end: 0.02
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+
objective: pred_eps
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+
var_type: fixed_small
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train:
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n_steps: 500000
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batch_size: 64
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micro_batch: 8
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clip_grad_norm: 1.0
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ema_decay: 0.9999
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ema_gradual: true
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print_freq: 400
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save_freq: 10000
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sample_freq: 5000
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n_samples: 36
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optim:
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target: torch.optim.Adam
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params:
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lr: 2.0e-05
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