Upload xl_256_rot90_inverse/config.yaml with huggingface_hub
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xl_256_rot90_inverse/config.yaml
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ckpt_path: '/workspace/LightningDiT/output/xl_256_rot90_inverse/checkpoints/0080000.pt'
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data:
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data_path: /workspace/vavae_f16d32/imagenet_train_256
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fid_reference_file: /workspace/VIRTUAL_imagenet256_labeled.npz
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image_size: 256
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latent_multiplier: 1.0
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latent_norm: true
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num_classes: 1000
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num_workers: 8
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model:
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degree_list:
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- 270
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- 180
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- 90
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- 0
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- 270
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- 180
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- 90
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- 0
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- 270
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- 180
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- 0
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in_chans: 32
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model_type: LightningDiT-XL/1
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use_qknorm: false
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use_rmsnorm: true
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use_rope: true
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use_swiglu: true
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wo_shift: false
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optimizer:
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beta2: 0.95
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lr: 0.0002
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sample:
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atol: 1.0e-06
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cfg_interval_start: 0.11
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cfg_scale: 10.0
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fid_num: 50000
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likelihood: false
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mode: ODE
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num_sampling_steps: 250
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per_proc_batch_size: 64
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reverse: false
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rtol: 0.001
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sampling_method: euler
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timestep_shift: 0.3
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train:
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ckpt: null
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ckpt_every: 40000
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exp_name: xl_256_rot90_inverse
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global_batch_size: 1024
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global_seed: 0
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log_every: 100
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max_steps: 80000
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output_dir: output
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transport:
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loss_weight: null
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path_type: Linear
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prediction: velocity
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sample_eps: null
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train_eps: null
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use_cosine_loss: true
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use_lognorm: true
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vae:
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downsample_ratio: 16
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model_name: vavae_f16d32
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