Delete ckpts/image-to-shape-diffusion

ckpts/image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6/config.yaml

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-name: michelangelo-image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6-170k
-description: ''
-tag: michelangelo-aligned-autoencoder+n4096+noise0.0+pfeat3+zeroemb0.0+normembFalse+lr5e-05+qkvbiasFalse+nfreq8+ln_postTrue
-seed: 0
-use_timestamp: true
-timestamp: ''
-exp_root_dir: outputs
-exp_dir: outputs/michelangelo-image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6-170k
-trial_name: michelangelo-aligned-autoencoder+n4096+noise0.0+pfeat3+zeroemb0.0+normembFalse+lr5e-05+qkvbiasFalse+nfreq8+ln_postTrue
-trial_dir: outputs/michelangelo-image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6-170k/michelangelo-aligned-autoencoder+n4096+noise0.0+pfeat3+zeroemb0.0+normembFalse+lr5e-05+qkvbiasFalse+nfreq8+ln_postTrue
-n_gpus: 8
-resume: ./ckpts/3DNativeGeneration/michelangelo-image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6-170k.ckpt
-data_type: objaverse-datamodule
-data:
-  root_dir: data/objaverse_clean/cap3d_high_quality_170k_images
-  data_type: occupancy
-  n_samples: 4096
-  noise_sigma: 0.0
-  load_supervision: false
-  supervision_type: occupancy
-  n_supervision: 10000
-  load_image: true
-  image_data_path: data/objaverse_clean/raw_data/images/cap3d_high_quality_170k
-  image_type: mvrgb
-  idx:
-  - 0
-  - 4
-  - 8
-  - 12
-  - 16
-  n_views: 4
-  load_caption: false
-  rotate_points: false
-  batch_size: 32
-  num_workers: 16
-system_type: shape-diffusion-system
-system:
-  val_samples_json: val_data/mv_images/val_samples_rgb_mvimage.json
-  z_scale_factor: 1.0
-  guidance_scale: 7.5
-  num_inference_steps: 50
-  eta: 0.0
-  shape_model_type: michelangelo-aligned-autoencoder
-  shape_model:
-    num_latents: 256
-    embed_dim: 64
-    point_feats: 3
-    out_dim: 1
-    num_freqs: 8
-    include_pi: false
-    heads: 12
-    width: 768
-    num_encoder_layers: 8
-    num_decoder_layers: 16
-    use_ln_post: true
-    init_scale: 0.25
-    qkv_bias: false
-    use_flash: true
-    use_checkpoint: true
-  condition_model_type: clip-embedder
-  condition_model:
-    pretrained_model_name_or_path: openai/clip-vit-large-patch14
-    encode_camera: true
-    camera_embeds_dim: 32
-    n_views: 4
-    empty_embeds_ratio: 0.1
-    normalize_embeds: false
-    zero_uncond_embeds: true
-  denoiser_model_type: simple-denoiser
-  denoiser_model:
-    input_channels: 64
-    output_channels: 64
-    n_ctx: 256
-    width: 768
-    layers: 6
-    heads: 12
-    context_dim: 1024
-    init_scale: 1.0
-    skip_ln: true
-    use_checkpoint: true
-  noise_scheduler_type: diffusers.schedulers.DDPMScheduler
-  noise_scheduler:
-    num_train_timesteps: 1000
-    beta_start: 0.00085
-    beta_end: 0.012
-    beta_schedule: scaled_linear
-    variance_type: fixed_small
-    clip_sample: false
-  denoise_scheduler_type: diffusers.schedulers.DDIMScheduler
-  denoise_scheduler:
-    num_train_timesteps: 1000
-    beta_start: 0.00085
-    beta_end: 0.012
-    beta_schedule: scaled_linear
-    clip_sample: false
-    set_alpha_to_one: false
-    steps_offset: 1
-  loggers:
-    wandb:
-      enable: false
-      project: JiangXin
-      name: text-to-shape-diffusion+michelangelo-image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6-170k+michelangelo-aligned-autoencoder+n4096+noise0.0+pfeat3+zeroemb0.0+normembFalse+lr5e-05+qkvbiasFalse+nfreq8+ln_postTrue
-  loss:
-    loss_type: mse
-    lambda_diffusion: 1.0
-  optimizer:
-    name: AdamW
-    args:
-      lr: 5.0e-05
-      betas:
-      - 0.9
-      - 0.99
-      eps: 1.0e-06
-  scheduler:
-    name: SequentialLR
-    interval: step
-    schedulers:
-    - name: LinearLR
-      interval: step
-      args:
-        start_factor: 1.0e-06
-        end_factor: 1.0
-        total_iters: 5000
-    - name: CosineAnnealingLR
-      interval: step
-      args:
-        T_max: 5000
-        eta_min: 0.0
-    milestones:
-    - 5000
-trainer:
-  num_nodes: 2
-  max_epochs: 100000
-  log_every_n_steps: 5
-  num_sanity_val_steps: 1
-  check_val_every_n_epoch: 3
-  enable_progress_bar: true
-  precision: 16-mixed
-  strategy: ddp_find_unused_parameters_true
-checkpoint:
-  save_last: true
-  save_top_k: -1
-  every_n_train_steps: 5000

ckpts/image-to-shape-diffusion/clip-mvrgb-modln-l256-e64-ne8-nd16-nl6/model.ckpt

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