| data: |
| data_dir: |
| - /home/work/shared-fi-datasets-01/users/hsiang.chen/Project/Datasets/IR |
| caption_proportion: |
| prompt: 1 |
| external_caption_suffixes: [] |
| external_clipscore_suffixes: [] |
| clip_thr_temperature: 0.1 |
| clip_thr: 25.0 |
| del_img_clip_thr: 0.0 |
| sort_dataset: false |
| load_text_feat: false |
| load_vae_feat: false |
| transform: default_train |
| type: IRImgQTokenDataset |
| image_size: 256 |
| hq_only: false |
| valid_num: 0 |
| data: null |
| extra: null |
| dset: train_brief |
| max_samples: null |
| use_tokens: prefill |
| max_tokens: 400 |
| model: |
| model: SD35M_P2P |
| model_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors |
| shift: 3.0 |
| teacher: null |
| input_channel: 16 |
| image_size: 256 |
| mixed_precision: bf16 |
| fp32_attention: true |
| load_from: /home/work/shared-fi-datasets-01/users/hsiang.chen/Project/IR/sd35_pix2pix/output/sd35m_p2p_breif/checkpoints/epoch_100_step_302601.pth |
| discriminator_model: null |
| teacher_model: null |
| teacher_model_weight_dtype: null |
| resume_from: null |
| aspect_ratio_type: ASPECT_RATIO_1024 |
| multi_scale: false |
| pe_interpolation: 1.0 |
| micro_condition: false |
| attn_type: linear |
| autocast_linear_attn: false |
| ffn_type: glumbconv |
| mlp_acts: |
| - silu |
| - silu |
| - null |
| mlp_ratio: 2.5 |
| use_pe: false |
| pos_embed_type: sincos |
| qk_norm: false |
| class_dropout_prob: 0.1 |
| linear_head_dim: 32 |
| cross_norm: false |
| cross_attn_type: flash |
| logvar: false |
| cfg_scale: 4 |
| cfg_embed: false |
| cfg_embed_scale: 1.0 |
| guidance_type: classifier-free |
| pag_applied_layers: |
| - 8 |
| ladd_multi_scale: true |
| head_block_ids: null |
| extra: null |
| connector: |
| model: QFormer |
| model_pretrained: None |
| input_channel: 4096 |
| num_input_tokens: 400 |
| num_query_tokens: 77 |
| hidden_dim: 1024 |
| layers: 8 |
| heads: 16 |
| resume_from: None |
| load_from: None |
| vae: |
| vae_type: SDVAE |
| vae_pretrained: ./checkpoints/stable-diffusion-3.5-medium/sd3.5_medium.safetensors |
| weight_dtype: float32 |
| scale_factor: 0.41407 |
| vae_latent_dim: 16 |
| vae_downsample_rate: 8 |
| sample_posterior: true |
| extra: null |
| text_encoder: |
| text_encoder_name: sd35-text |
| text_encoder_pretrained: ./checkpoints/stable-diffusion-3.5-medium/text_encoders |
| caption_channels: 4096 |
| y_norm: true |
| y_norm_scale_factor: 0.01 |
| model_max_length: 300 |
| chi_prompt: |
| - a photo of a cat |
| - Convenience store entrance at night. On the glass door, a vinyl decal reads |
| 'OPEN FOR QUALITY'. Inside, shelves and fluorescent lights; outside, a cyclist |
| passing by |
| - Sunrise beach, shallow tide washing over smooth sand. A piece of weathered driftwood |
| lies near the shoreline with a subtle branded text [SOS] on its surface; wet |
| sand reflections, micro-ripples, sun flare at horizon. |
| extra: null |
| scheduler: |
| train_sampling_steps: 1000 |
| predict_flow_v: true |
| noise_schedule: linear_flow |
| pred_sigma: false |
| learn_sigma: true |
| vis_sampler: flow_dpm-solver |
| flow_shift: 3.0 |
| weighting_scheme: logit_normal |
| weighting_scheme_discriminator: logit_normal_trigflow |
| add_noise_timesteps: |
| - 1.5708 |
| logit_mean: 0.0 |
| logit_std: 1.0 |
| logit_mean_discriminator: 0.0 |
| logit_std_discriminator: 1.0 |
| sigma_data: 0.5 |
| timestep_norm_scale_factor: 1.0 |
| extra: null |
| train: |
| num_workers: 10 |
| seed: 1229 |
| train_batch_size: 64 |
| num_epochs: 100 |
| gradient_accumulation_steps: 1 |
| grad_checkpointing: true |
| gradient_clip: 0.1 |
| gc_step: 1 |
| optimizer: |
| betas: |
| - 0.9 |
| - 0.999 |
| - 0.9999 |
| eps: |
| - 1.0e-30 |
| - 1.0e-16 |
| lr: 5.0e-05 |
| type: CAMEWrapper |
| weight_decay: 0.0 |
| optimizer_D: |
| eps: 1.0e-10 |
| lr: 0.0001 |
| type: AdamW |
| weight_decay: 0.03 |
| load_from_optimizer: false |
| load_from_lr_scheduler: false |
| resume_lr_scheduler: true |
| lr_schedule: cosine |
| lr_schedule_args: |
| num_warmup_steps: 2000 |
| auto_lr: |
| rule: sqrt |
| eval_batch_size: 16 |
| use_fsdp: false |
| use_flash_attn: false |
| eval_sampling_steps: 500 |
| lora_rank: 4 |
| log_interval: 1 |
| mask_type: 'null' |
| mask_loss_coef: 0.0 |
| load_mask_index: false |
| snr_loss: false |
| real_prompt_ratio: 1.0 |
| early_stop_hours: 10000.0 |
| save_image_epochs: 1 |
| save_model_epochs: 5 |
| save_model_steps: 500 |
| visualize: true |
| null_embed_root: output/pretrained_models/ |
| valid_prompt_embed_root: output/tmp_embed/ |
| validation_prompts: |
| - dog |
| - portrait photo of a girl, photograph, highly detailed face, depth of field |
| - Self-portrait oil painting, a beautiful cyborg with golden hair, 8k |
| - Astronaut in a jungle, cold color palette, muted colors, detailed, 8k |
| - A photo of beautiful mountain with realistic sunset and blue lake, highly detailed, |
| masterpiece |
| local_save_vis: true |
| deterministic_validation: true |
| online_metric: false |
| eval_metric_step: 2000 |
| online_metric_dir: metric_helper |
| work_dir: output/sd35m_p2p |
| skip_step: 0 |
| loss_type: huber |
| huber_c: 0.001 |
| num_ddim_timesteps: 50 |
| ema_decay: 0.95 |
| debug_nan: false |
| ema_update: false |
| ema_rate: 0.9999 |
| tangent_warmup_steps: 10000 |
| scm_cfg_scale: |
| - 1.0 |
| cfg_interval: null |
| scm_logvar_loss: true |
| norm_invariant_to_spatial_dim: true |
| norm_same_as_512_scale: false |
| g_norm_constant: 0.1 |
| g_norm_r: 1.0 |
| show_gradient: false |
| lr_scale: null |
| adv_lambda: 1.0 |
| scm_loss: true |
| scm_lambda: 1.0 |
| loss_scale: 1.0 |
| r1_penalty: false |
| r1_penalty_weight: 1.0e-05 |
| diff_timesteps_D: true |
| suffix_checkpoints: disc |
| misaligned_pairs_D: false |
| discriminator_loss: cross entropy |
| largest_timestep: 1.5708 |
| train_largest_timestep: false |
| largest_timestep_prob: 0.5 |
| extra: null |
| controlnet: null |
| model_growth: null |
| work_dir: output/sd35m_p2p_breif_connector |
| resume_from: null |
| load_from: null |
| debug: true |
| caching: false |
| report_to: tensorboard |
| tracker_project_name: sana-baseline |
| name: tmp |
| loss_report_name: loss |
|
|
