Finish pretraining 15_000 steps phase 1
Browse files- pretrained-15P1/FontDiffuser_training_phase_1_config.yaml +70 -0
- pretrained-15P1/checkpoint_step_1000/content_encoder.safetensors +3 -0
- pretrained-15P1/checkpoint_step_1000/style_encoder.safetensors +3 -0
- pretrained-15P1/checkpoint_step_1000/unet.safetensors +3 -0
- pretrained-15P1/checkpoint_step_2000/content_encoder.safetensors +3 -0
- pretrained-15P1/checkpoint_step_2000/style_encoder.safetensors +3 -0
- pretrained-15P1/checkpoint_step_2000/unet.safetensors +3 -0
- pretrained-15P1/final/content_encoder.safetensors +3 -0
- pretrained-15P1/final/style_encoder.safetensors +3 -0
- pretrained-15P1/final/unet.safetensors +3 -0
pretrained-15P1/FontDiffuser_training_phase_1_config.yaml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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algorithm_type: dpmsolver++
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beta_scheduler: scaled_linear
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channel_attn: true
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ckpt_interval: 1000
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content_encoder_downsample_size: 3
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content_image_size: !!python/tuple
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- 96
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content_start_channel: 64
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controlnet: false
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correcting_x0_fn: null
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data_root: my_dataset
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drop_prob: 0.1
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enable_style_transform: false
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experience_name: FontDiffuser_training_phase_1
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gradient_accumulation_steps: 2
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guidance_scale: 7.5
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guidance_type: classifier-free
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instructpix2pix: false
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learning_rate: 0.0001
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local_rank: 0
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log_interval: 50
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logging_dir: logs
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lr_scheduler: cosine
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lr_warmup_steps: 200
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max_grad_norm: 1.0
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max_train_steps: 2000
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method: multistep
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mixed_precision: 'no'
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mode: refinement
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model_type: noise
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nce_layers: 0,1,2,3
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num_inference_steps: 20
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num_neg: 16
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num_workers: 4
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offset_coefficient: 0.5
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order: 2
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output_dir: outputs/FontDiffuser/pretrained-15P1
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perceptual_coefficient: 0.05
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phase_1: true
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phase_1_ckpt_dir: ckpt/pretrained-13P1/final
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phase_2: false
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report_to: wandb
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resolution: 96
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resume_from_checkpoint: null
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save_full_model: false
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sc_coefficient: 0.01
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scale_lr: false
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scr_ckpt_path: null
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scr_image_size: 96
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seed: 123
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skip_type: time_uniform
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style_image_size: !!python/tuple
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- 96
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style_start_channel: 64
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t_end: null
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t_start: null
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temperature: 0.07
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train_batch_size: 8
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unet_channels: !!python/tuple
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- 512
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val_interval: 100
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pretrained-15P1/checkpoint_step_1000/content_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae964596c0becae4524e67dc98c7ce853e15d37ace6b2b4d67641ec22f247ebd
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size 4756580
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pretrained-15P1/checkpoint_step_1000/style_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:54d17ba2ca8e1e0427a6a88a79bb5d320bfa1fe5d12f95ebd098ae2457411f2a
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size 82394556
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pretrained-15P1/checkpoint_step_1000/unet.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9552f58b2f443d3f6886830a3e5140dbd49e668c2a349e1cd7a890ddb412bd1f
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size 314927748
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pretrained-15P1/checkpoint_step_2000/content_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a72bea5db690ee2a11e164e7a999ec6e3c94be968a2d6120f76be421c2433bfe
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size 4756580
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pretrained-15P1/checkpoint_step_2000/style_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:75c9de0d1700db39862097aa9860806a9aae39a1500d94d0b5dc2cf5669f246d
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size 82394556
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pretrained-15P1/checkpoint_step_2000/unet.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2c57738e152b625e836962d0b5652620a5176196e8ea4f316b44e3169de2a94
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size 314927748
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pretrained-15P1/final/content_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a72bea5db690ee2a11e164e7a999ec6e3c94be968a2d6120f76be421c2433bfe
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size 4756580
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pretrained-15P1/final/style_encoder.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:75c9de0d1700db39862097aa9860806a9aae39a1500d94d0b5dc2cf5669f246d
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size 82394556
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pretrained-15P1/final/unet.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2c57738e152b625e836962d0b5652620a5176196e8ea4f316b44e3169de2a94
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size 314927748
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