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@@ -33,3 +33,17 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/files/media/images/Eval[[:space:]]Images/img_48600_36f7398b2c72accbaca7.png filter=lfs diff=lfs merge=lfs -text
+igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/files/media/images/Eval[[:space:]]Images/img_42600_4f9e00df89697662b943.png filter=lfs diff=lfs merge=lfs -text
+igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/files/media/images/Eval[[:space:]]Images/img_42500_af21296827759fddcc9f.png filter=lfs diff=lfs merge=lfs -text
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igs2gs/2026-04-02_061254/config.yml

@@ -0,0 +1,253 @@
+!!python/object:igs2gs.igs2gs_trainer.InstructGS2GSTrainerConfig
+_target: !!python/name:igs2gs.igs2gs_trainer.InstructGS2GSTrainer ''
+data: null
+experiment_name: unnamed
+gradient_accumulation_steps:
+  camera_opt: 100
+  color: 10
+  shs: 10
+load_checkpoint: null
+load_config: null
+load_dir: !!python/object/apply:pathlib.PosixPath
+- outputs
+- unnamed
+- splatfacto
+- 2026-04-02_055552
+- nerfstudio_models
+load_scheduler: true
+load_step: null
+log_gradients: false
+logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
+  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
+    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
+    enable: true
+    max_log_size: 10
+    stats_to_track: !!python/tuple
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Iter (time)
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test PSNR
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Vis Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - ETA (time)
+  max_buffer_size: 20
+  profiler: basic
+  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
+  steps_per_log: 10
+machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
+  device_type: cuda
+  dist_url: auto
+  machine_rank: 0
+  num_devices: 1
+  num_machines: 1
+  seed: 42
+max_num_iterations: 60000
+method_name: igs2gs
+mixed_precision: false
+optimizers:
+  camera_opt:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: &id001 !!python/name:torch.optim.adam.Adam ''
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: &id002 !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler ''
+      lr_final: 5.0e-05
+      lr_pre_warmup: 1.0e-08
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 0
+  features_dc:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.0025
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  features_rest:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.000125
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  means:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.00016
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: *id002
+      lr_final: 1.6e-06
+      lr_pre_warmup: 1.0e-08
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 0
+  opacities:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.05
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  scales:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.005
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+output_dir: !!python/object/apply:pathlib.PosixPath
+- outputs
+pipeline: !!python/object:igs2gs.igs2gs_pipeline.InstructGS2GSPipelineConfig
+  _target: !!python/name:igs2gs.igs2gs_pipeline.InstructGS2GSPipeline ''
+  datamanager: !!python/object:igs2gs.igs2gs_datamanager.InstructGS2GSDataManagerConfig
+    _target: !!python/name:igs2gs.igs2gs_datamanager.InstructGS2GSDataManager ''
+    cache_compressed_images: false
+    cache_images: cpu
+    cache_images_type: float32
+    camera_res_scale_factor: 1.0
+    data: null
+    dataloader_num_workers: 4
+    dataparser: !!python/object:nerfstudio.data.dataparsers.replica_dataparser.ReplicaDataParserConfig
+      _target: !!python/name:nerfstudio.data.dataparsers.replica_dataparser.Replica ''
+      auto_scale_poses: true
+      center_method: poses
+      data: !!python/object/apply:pathlib.PosixPath
+      - data
+      - Replica
+      - office0
+      depth_unit_scale_factor: null
+      frame_stride: 1
+      load_3D_points: true
+      max_3d_points: 100000
+      point_cloud_color: true
+      scale_factor: 1.0
+      scene_scale: 1.0
+      train_split_fraction: 0.9
+    eval_image_indices: !!python/tuple
+    - 0
+    eval_num_images_to_sample_from: -1
+    eval_num_times_to_repeat_images: -1
+    fps_reset_every: 100
+    images_on_gpu: false
+    masks_on_gpu: false
+    max_thread_workers: null
+    prefetch_factor: 4
+    train_cameras_sampling_seed: 42
+    train_cameras_sampling_strategy: random
+  diffusion_steps: 20
+  gs_steps: 2500
+  guidance_scale: 12.5
+  image_guidance_scale: 1.5
+  ip2p_device: null
+  ip2p_use_full_precision: false
+  lower_bound: 0.7
+  model: !!python/object:igs2gs.igs2gs.InstructGS2GSModelConfig
+    _target: !!python/name:igs2gs.igs2gs.InstructGS2GSModel ''
+    background_color: random
+    camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig
+      _target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer ''
+      mode: 'off'
+      optimizer: null
+      rot_l2_penalty: 0.001
+      scheduler: null
+      trans_l2_penalty: 0.01
+    collider_params:
+      far_plane: 6.0
+      near_plane: 2.0
+    color_corrected_metrics: false
+    cull_alpha_thresh: 0.1
+    cull_scale_thresh: 0.5
+    cull_screen_size: 0.15
+    densify_grad_thresh: 0.0008
+    densify_size_thresh: 0.01
+    enable_collider: true
+    eval_num_rays_per_chunk: 4096
+    grid_shape: !!python/tuple
+    - 16
+    - 16
+    - 8
+    loss_coefficients:
+      rgb_loss_coarse: 1.0
+      rgb_loss_fine: 1.0
+    lpips_loss_mult: 1.0
+    max_gauss_ratio: 10.0
+    max_gs_num: 1000000
+    mcmc_opacity_reg: 0.01
+    mcmc_scale_reg: 0.01
+    n_split_samples: 2
+    noise_lr: 500000.0
+    num_downscales: 2
+    num_random: 50000
+    output_depth_during_training: false
+    patch_size: 32
+    prompt: null
+    random_init: false
+    random_scale: 10.0
+    rasterize_mode: classic
+    refine_every: 100
+    reset_alpha_every: 30
+    resolution_schedule: 3000
+    sh_degree: 3
+    sh_degree_interval: 1000
+    split_screen_size: 0.05
+    ssim_lambda: 0.2
+    stop_screen_size_at: 4000
+    stop_split_at: 15000
+    strategy: default
+    use_absgrad: true
+    use_bilateral_grid: false
+    use_l1: true
+    use_lpips: true
+    use_scale_regularization: false
+    warmup_length: 500
+  prompt: make the guitar case wood
+  upper_bound: 0.98
+project_name: nerfstudio-project
+prompt: null
+relative_model_dir: !!python/object/apply:pathlib.PosixPath
+- nerfstudio_models
+save_only_latest_checkpoint: true
+start_paused: false
+steps_per_eval_all_images: 100000
+steps_per_eval_batch: 100
+steps_per_eval_image: 100
+steps_per_save: 500
+timestamp: 2026-04-02_061254
+use_grad_scaler: false
+viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
+  camera_frustum_scale: 0.1
+  default_composite_depth: true
+  image_format: jpeg
+  jpeg_quality: 75
+  make_share_url: false
+  max_num_display_images: 512
+  num_rays_per_chunk: 32768
+  quit_on_train_completion: false
+  relative_log_filename: viewer_log_filename.txt
+  websocket_host: 0.0.0.0
+  websocket_port: null
+  websocket_port_default: 7007
+vis: wandb

igs2gs/2026-04-02_061254/dataparser_transforms.json

@@ -0,0 +1,23 @@
+{
+    "transform": [
+        [
+            1.0,
+            0.0,
+            0.0,
+            -0.16180968284606934
+        ],
+        [
+            0.0,
+            1.0,
+            0.0,
+            1.0154469013214111
+        ],
+        [
+            0.0,
+            0.0,
+            1.0,
+            -0.679202139377594
+        ]
+    ],
+    "scale": 0.7265199626511969
+}

igs2gs/2026-04-02_061254/wandb/debug.log

@@ -0,0 +1,37 @@
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Current SDK version is 0.25.1
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Configure stats pid to 44006
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:setup_run_log_directory():717] Logging user logs to outputs/unnamed/igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug.log
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to outputs/unnamed/igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug-internal.log
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:init():844] calling init triggers
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
+config: {'_wandb': {}}
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:init():892] starting backend
+2026-04-02 06:13:39,200 INFO    MainThread:44006 [wandb_init.py:init():895] sending inform_init request
+2026-04-02 06:13:39,206 INFO    MainThread:44006 [wandb_init.py:init():903] backend started and connected
+2026-04-02 06:13:39,207 INFO    MainThread:44006 [wandb_init.py:init():973] updated telemetry
+2026-04-02 06:13:39,221 INFO    MainThread:44006 [wandb_init.py:init():997] communicating run to backend with 90.0 second timeout
+2026-04-02 06:13:39,624 INFO    MainThread:44006 [wandb_init.py:init():1042] starting run threads in backend
+2026-04-02 06:13:39,906 INFO    MainThread:44006 [wandb_run.py:_console_start():2524] atexit reg
+2026-04-02 06:13:39,907 INFO    MainThread:44006 [wandb_run.py:_redirect():2373] redirect: wrap_raw
+2026-04-02 06:13:39,907 INFO    MainThread:44006 [wandb_run.py:_redirect():2442] Wrapping output streams.
+2026-04-02 06:13:39,907 INFO    MainThread:44006 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-04-02 06:13:39,911 INFO    MainThread:44006 [wandb_init.py:init():1082] run started, returning control to user process
+2026-04-02 06:13:44,394 INFO    MainThread:44006 [wandb_run.py:_config_callback():1403] config_cb None None {'_target': 'igs2gs.igs2gs_trainer.InstructGS2GSTrainer', 'output_dir': 'outputs', 'method_name': 'igs2gs', 'experiment_name': 'unnamed', 'project_name': 'nerfstudio-project', 'timestamp': '2026-04-02_061254', 'machine': {'seed': 42, 'num_devices': 1, 'num_machines': 1, 'machine_rank': 0, 'dist_url': 'auto', 'device_type': 'cuda'}, 'logging': {'relative_log_dir': '.', 'steps_per_log': 10, 'max_buffer_size': 20, 'local_writer': {'_target': 'nerfstudio.utils.writer.LocalWriter', 'enable': True, 'stats_to_track': ['ITER_TRAIN_TIME', 'TRAIN_RAYS_PER_SEC', 'CURR_TEST_PSNR', 'VIS_RAYS_PER_SEC', 'TEST_RAYS_PER_SEC', 'ETA'], 'max_log_size': 10}, 'profiler': 'basic'}, 'viewer': {'relative_log_filename': 'viewer_log_filename.txt', 'websocket_port': None, 'websocket_port_default': 7007, 'websocket_host': '0.0.0.0', 'num_rays_per_chunk': 32768, 'max_num_display_images': 512, 'quit_on_train_completion': False, 'image_format': 'jpeg', 'jpeg_quality': 75, 'make_share_url': False, 'camera_frustum_scale': 0.1, 'default_composite_depth': True}, 'pipeline': {'_target': 'igs2gs.igs2gs_pipeline.InstructGS2GSPipeline', 'datamanager': {'_target': 'igs2gs.igs2gs_datamanager.InstructGS2GSDataManager', 'data': 'data/Replica/office0', 'masks_on_gpu': False, 'images_on_gpu': False, 'dataparser': {'_target': 'nerfstudio.data.dataparsers.replica_dataparser.Replica', 'data': 'data/Replica/office0', 'scale_factor': 1.0, 'scene_scale': 1.0, 'center_method': 'poses', 'auto_scale_poses': True, 'train_split_fraction': 0.9, 'depth_unit_scale_factor': None, 'load_3D_points': True, 'point_cloud_color': True, 'max_3d_points': 100000, 'frame_stride': 1}, 'camera_res_scale_factor': 1.0, 'eval_num_images_to_sample_from': -1, 'eval_num_times_to_repeat_images': -1, 'cache_images': 'cpu', 'cache_images_type': 'float32', 'max_thread_workers': None, 'train_cameras_sampling_strategy': 'random', 'train_cameras_sampling_seed': 42, 'fps_reset_every': 100, 'dataloader_num_workers': 4, 'prefetch_factor': 4, 'cache_compressed_images': False, 'eval_image_indices': [0]}, 'model': {'_target': 'igs2gs.igs2gs.InstructGS2GSModel', 'enable_collider': True, 'collider_params': {'near_plane': 2.0, 'far_plane': 6.0}, 'loss_coefficients': {'rgb_loss_coarse': 1.0, 'rgb_loss_fine': 1.0}, 'eval_num_rays_per_chunk': 4096, 'prompt': None, 'warmup_length': 500, 'refine_every': 100, 'resolution_schedule': 3000, 'background_color': 'random', 'num_downscales': 2, 'cull_alpha_thresh': 0.1, 'cull_scale_thresh': 0.5, 'reset_alpha_every': 30, 'densify_grad_thresh': 0.0008, 'use_absgrad': True, 'densify_size_thresh': 0.01, 'n_split_samples': 2, 'sh_degree_interval': 1000, 'cull_screen_size': 0.15, 'split_screen_size': 0.05, 'stop_screen_size_at': 4000, 'random_init': False, 'num_random': 50000, 'random_scale': 10.0, 'ssim_lambda': 0.2, 'stop_split_at': 15000, 'sh_degree': 3, 'use_scale_regularization': False, 'max_gauss_ratio': 10.0, 'output_depth_during_training': False, 'rasterize_mode': 'classic', 'camera_optimizer': {'_target': 'nerfstudio.cameras.camera_optimizers.CameraOptimizer', 'mode': 'off', 'trans_l2_penalty': 0.01, 'rot_l2_penalty': 0.001, 'optimizer': None, 'scheduler': None}, 'use_bilateral_grid': False, 'grid_shape': [16, 16, 8], 'color_corrected_metrics': False, 'strategy': 'default', 'max_gs_num': 1000000, 'noise_lr': 500000.0, 'mcmc_opacity_reg': 0.01, 'mcmc_scale_reg': 0.01, 'use_lpips': True, 'use_l1': True, 'patch_size': 32, 'lpips_loss_mult': 1.0}, 'prompt': 'make the guitar case wood', 'guidance_scale': 12.5, 'image_guidance_scale': 1.5, 'gs_steps': 2500, 'diffusion_steps': 20, 'lower_bound': 0.7, 'upper_bound': 0.98, 'ip2p_device': None, 'ip2p_use_full_precision': False}, 'optimizers': {'means': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.00016, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 1.6e-06, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}, 'features_dc': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0025, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'features_rest': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.000125, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'opacities': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.05, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'scales': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.005, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'quats': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'camera_opt': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 5e-05, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}}, 'vis': 'wandb', 'data': None, 'prompt': None, 'relative_model_dir': 'nerfstudio_models', 'load_scheduler': True, 'steps_per_save': 500, 'steps_per_eval_batch': 100, 'steps_per_eval_image': 100, 'steps_per_eval_all_images': 100000, 'max_num_iterations': 60000, 'mixed_precision': False, 'use_grad_scaler': False, 'save_only_latest_checkpoint': True, 'load_dir': 'outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models', 'load_step': None, 'load_config': None, 'load_checkpoint': None, 'log_gradients': False, 'gradient_accumulation_steps': {'camera_opt': 100, 'color': 10, 'shs': 10}, 'start_paused': False}
+2026-04-02 15:59:34,248 INFO    wandb-AsyncioManager-main:44006 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-02 15:59:34,249 INFO    wandb-AsyncioManager-main:44006 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-04-02 15:59:34,933 ERROR   wandb-AsyncioManager-main:44006 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 371, in drain
+    await self._protocol._drain_helper()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/files/config.yaml

@@ -0,0 +1,353 @@
+_target:
+    value: igs2gs.igs2gs_trainer.InstructGS2GSTrainer
+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            k9w8vx9eirg3bhsaadecbabef3j4npmc:
+                args:
+                    - igs2gs
+                    - --load-dir
+                    - ./outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models/
+                    - --max-num-iterations
+                    - "60000"
+                    - --pipeline.prompt
+                    - make the guitar case wood
+                    - --pipeline.guidance-scale
+                    - "12.5"
+                    - --pipeline.image-guidance-scale
+                    - "1.5"
+                    - --vis
+                    - wandb
+                    - replica-data
+                    - --data
+                    - data/Replica/office0/
+                codePath: .pixi/envs/default/bin/ns-train
+                codePathLocal: .pixi/envs/default/bin/ns-train
+                cpu_count: 8
+                cpu_count_logical: 8
+                cudaVersion: "13.1"
+                disk:
+                    /:
+                        total: "520120602624"
+                        used: "66623668224"
+                email: cctom@umich.edu
+                executable: /root/nerfstudio/.pixi/envs/default/bin/python3.10
+                git:
+                    commit: 9a173439efc2f0fdf9a04ef96913bcaf8aec07b8
+                    remote: https://github.com/qrafty-ai/nerfstudio.git
+                gpu: NVIDIA RTX 6000 Ada Generation
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ada
+                      cudaCores: 18176
+                      memoryTotal: "51527024640"
+                      name: NVIDIA RTX 6000 Ada Generation
+                      uuid: GPU-4be8b1b7-9e66-94a5-d491-ba755102654c
+                host: ml-ai-ubuntu-gpu-6000adax1-48gb-tor1
+                memory:
+                    total: "67422699520"
+                os: Linux-5.15.0-171-generic-x86_64-with-glibc2.35
+                program: /root/nerfstudio/.pixi/envs/default/bin/ns-train
+                python: CPython 3.10.14
+                root: outputs/unnamed/igs2gs/2026-04-02_061254
+                startedAt: "2026-04-02T06:13:38.769314Z"
+                writerId: k9w8vx9eirg3bhsaadecbabef3j4npmc
+        m: []
+        python_version: 3.10.14
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 53
+                - 71
+                - 79
+                - 83
+            "2":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 53
+                - 71
+                - 79
+                - 83
+            "3":
+                - 13
+                - 61
+            "4": 3.10.14
+            "5": 0.25.1
+            "6": 5.4.0
+            "10":
+                - 20
+            "12": 0.25.1
+            "13": linux-x86_64
+data:
+    value: null
+experiment_name:
+    value: unnamed
+gradient_accumulation_steps:
+    value:
+        camera_opt: 100
+        color: 10
+        shs: 10
+load_checkpoint:
+    value: null
+load_config:
+    value: null
+load_dir:
+    value: outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models
+load_scheduler:
+    value: true
+load_step:
+    value: null
+log_gradients:
+    value: false
+logging:
+    value:
+        local_writer:
+            _target: nerfstudio.utils.writer.LocalWriter
+            enable: true
+            max_log_size: 10
+            stats_to_track:
+                - ITER_TRAIN_TIME
+                - TRAIN_RAYS_PER_SEC
+                - CURR_TEST_PSNR
+                - VIS_RAYS_PER_SEC
+                - TEST_RAYS_PER_SEC
+                - ETA
+        max_buffer_size: 20
+        profiler: basic
+        relative_log_dir: .
+        steps_per_log: 10
+machine:
+    value:
+        device_type: cuda
+        dist_url: auto
+        machine_rank: 0
+        num_devices: 1
+        num_machines: 1
+        seed: 42
+max_num_iterations:
+    value: 60000
+method_name:
+    value: igs2gs
+mixed_precision:
+    value: false
+optimizers:
+    value:
+        camera_opt:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.001
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 5e-05
+                lr_pre_warmup: 1e-08
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 0
+        features_dc:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.0025
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        features_rest:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.000125
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        means:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.00016
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 1.6e-06
+                lr_pre_warmup: 1e-08
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 0
+        opacities:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.05
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        quats:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.001
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        scales:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.005
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+output_dir:
+    value: outputs
+pipeline:
+    value:
+        _target: igs2gs.igs2gs_pipeline.InstructGS2GSPipeline
+        datamanager:
+            _target: igs2gs.igs2gs_datamanager.InstructGS2GSDataManager
+            cache_compressed_images: false
+            cache_images: cpu
+            cache_images_type: float32
+            camera_res_scale_factor: 1
+            data: data/Replica/office0
+            dataloader_num_workers: 4
+            dataparser:
+                _target: nerfstudio.data.dataparsers.replica_dataparser.Replica
+                auto_scale_poses: true
+                center_method: poses
+                data: data/Replica/office0
+                depth_unit_scale_factor: null
+                frame_stride: 1
+                load_3D_points: true
+                max_3d_points: 100000
+                point_cloud_color: true
+                scale_factor: 1
+                scene_scale: 1
+                train_split_fraction: 0.9
+            eval_image_indices:
+                - 0
+            eval_num_images_to_sample_from: -1
+            eval_num_times_to_repeat_images: -1
+            fps_reset_every: 100
+            images_on_gpu: false
+            masks_on_gpu: false
+            max_thread_workers: null
+            prefetch_factor: 4
+            train_cameras_sampling_seed: 42
+            train_cameras_sampling_strategy: random
+        diffusion_steps: 20
+        gs_steps: 2500
+        guidance_scale: 12.5
+        image_guidance_scale: 1.5
+        ip2p_device: null
+        ip2p_use_full_precision: false
+        lower_bound: 0.7
+        model:
+            _target: igs2gs.igs2gs.InstructGS2GSModel
+            background_color: random
+            camera_optimizer:
+                _target: nerfstudio.cameras.camera_optimizers.CameraOptimizer
+                mode: "off"
+                optimizer: null
+                rot_l2_penalty: 0.001
+                scheduler: null
+                trans_l2_penalty: 0.01
+            collider_params:
+                far_plane: 6
+                near_plane: 2
+            color_corrected_metrics: false
+            cull_alpha_thresh: 0.1
+            cull_scale_thresh: 0.5
+            cull_screen_size: 0.15
+            densify_grad_thresh: 0.0008
+            densify_size_thresh: 0.01
+            enable_collider: true
+            eval_num_rays_per_chunk: 4096
+            grid_shape:
+                - 16
+                - 16
+                - 8
+            loss_coefficients:
+                rgb_loss_coarse: 1
+                rgb_loss_fine: 1
+            lpips_loss_mult: 1
+            max_gauss_ratio: 10
+            max_gs_num: 1000000
+            mcmc_opacity_reg: 0.01
+            mcmc_scale_reg: 0.01
+            n_split_samples: 2
+            noise_lr: 500000
+            num_downscales: 2
+            num_random: 50000
+            output_depth_during_training: false
+            patch_size: 32
+            prompt: null
+            random_init: false
+            random_scale: 10
+            rasterize_mode: classic
+            refine_every: 100
+            reset_alpha_every: 30
+            resolution_schedule: 3000
+            sh_degree: 3
+            sh_degree_interval: 1000
+            split_screen_size: 0.05
+            ssim_lambda: 0.2
+            stop_screen_size_at: 4000
+            stop_split_at: 15000
+            strategy: default
+            use_absgrad: true
+            use_bilateral_grid: false
+            use_l1: true
+            use_lpips: true
+            use_scale_regularization: false
+            warmup_length: 500
+        prompt: make the guitar case wood
+        upper_bound: 0.98
+project_name:
+    value: nerfstudio-project
+prompt:
+    value: null
+relative_model_dir:
+    value: nerfstudio_models
+save_only_latest_checkpoint:
+    value: true
+start_paused:
+    value: false
+steps_per_eval_all_images:
+    value: 100000
+steps_per_eval_batch:
+    value: 100
+steps_per_eval_image:
+    value: 100
+steps_per_save:
+    value: 500
+timestamp:
+    value: 2026-04-02_061254
+use_grad_scaler:
+    value: false
+viewer:
+    value:
+        camera_frustum_scale: 0.1
+        default_composite_depth: true
+        image_format: jpeg
+        jpeg_quality: 75
+        make_share_url: false
+        max_num_display_images: 512
+        num_rays_per_chunk: 32768
+        quit_on_train_completion: false
+        relative_log_filename: viewer_log_filename.txt
+        websocket_host: 0.0.0.0
+        websocket_port: null
+        websocket_port_default: 7007
+vis:
+    value: wandb

igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/files/requirements.txt

@@ -0,0 +1,271 @@
+addict==2.4.0
+tensorboard==2.16.2
+bidict==0.23.1
+descartes==1.1.0
+idna==3.7
+ninja==1.11.1.1
+pox==0.3.4
+decorator==5.1.1
+jupyterlab==4.2.0
+lightglue==0.0
+mistune==3.0.2
+threadpoolctl==3.5.0
+fsspec==2026.3.0
+retrying==1.3.4
+wsproto==1.2.0
+QtPy==2.4.1
+lazy_loader==0.4
+jupyterlab_widgets==3.0.10
+python-box==6.1.0
+markdown-it-py==3.0.0
+platformdirs==4.2.1
+traitlets==5.14.3
+jupyter-console==6.6.3
+jupyter_client==8.6.1
+pycollada==0.8
+torch-fidelity==0.3.0
+sentry-sdk==2.1.1
+simplejson==3.19.2
+rfc3986-validator==0.1.1
+wandb==0.25.1
+chardet==5.2.0
+python-engineio==4.9.0
+fire==0.6.0
+h11==0.14.0
+MarkupSafe==2.1.5
+dill==0.3.8
+vhacdx==0.0.6
+blinker==1.8.2
+anyio==4.3.0
+tensorly==0.9.0
+jsonpointer==2.4
+ppft==1.7.6.8
+einops==0.8.2
+uri-template==1.3.0
+cachetools==5.3.3
+gitdb==4.0.11
+nerfstudio==1.1.5
+debugpy==1.8.1
+dash-html-components==2.0.0
+fpsample==1.0.2
+dash-core-components==2.0.0
+Flask==3.0.3
+scikit-image==0.23.2
+jupyter_server_terminals==0.5.3
+tyro==0.9.17
+comm==0.2.2
+importlib_metadata==7.1.0
+wcwidth==0.2.13
+mpmath==1.3.0
+triton==3.1.0
+ConfigArgParse==1.7
+Babel==2.15.0
+attrs==23.2.0
+timm==0.6.7
+trimesh==4.3.2
+notebook_shim==0.2.4
+async-lru==2.0.4
+packaging==24.0
+colorlog==6.8.2
+pure-eval==0.2.2
+pyquaternion==0.9.9
+pretty-errors==1.2.25
+websocket-client==1.3.3
+nodeenv==1.8.0
+Markdown==3.6
+gmpy2==2.1.5
+pyzmq==26.0.3
+Jinja2==3.1.4
+appdirs==1.4.4
+tinycudann==2.0
+pexpect==4.9.0
+exceptiongroup==1.2.1
+arrow==1.3.0
+tinycss2==1.3.0
+wrapt==1.16.0
+av==12.0.0
+jupyter_core==5.7.2
+jupyterlab_server==2.27.1
+httpcore==1.0.5
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+fqdn==1.5.1
+embreex==2.17.7.post4
+mapbox-earcut==1.0.1
+safetensors==0.7.0
+fastjsonschema==2.19.1
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+nbclient==0.10.0
+wadler_lindig==0.1.7
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+pydantic_core==2.41.5
+matplotlib-inline==0.1.7
+numpy==1.26.4
+prompt-toolkit==3.0.43
+requests==2.31.0
+igs2gs==0.1.0
+Pygments==2.18.0
+asttokens==2.4.1
+typeguard==4.4.2
+tomli==2.0.1
+yourdfpy==0.0.56
+transformers==5.4.0
+PyYAML==6.0.1
+PySocks==1.7.1
+wurlitzer==3.1.0
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+xatlas==0.0.9
+tqdm==4.66.4
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+filelock==3.14.0
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+configobj==5.0.8
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+rich==13.7.1
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+Send2Trash==1.8.3
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+pydantic==2.12.5
+hloc==1.5

igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/files/wandb-metadata.json

@@ -0,0 +1,58 @@
+{
+  "os": "Linux-5.15.0-171-generic-x86_64-with-glibc2.35",
+  "python": "CPython 3.10.14",
+  "startedAt": "2026-04-02T06:13:38.769314Z",
+  "args": [
+    "igs2gs",
+    "--load-dir",
+    "./outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models/",
+    "--max-num-iterations",
+    "60000",
+    "--pipeline.prompt",
+    "make the guitar case wood",
+    "--pipeline.guidance-scale",
+    "12.5",
+    "--pipeline.image-guidance-scale",
+    "1.5",
+    "--vis",
+    "wandb",
+    "replica-data",
+    "--data",
+    "data/Replica/office0/"
+  ],
+  "program": "/root/nerfstudio/.pixi/envs/default/bin/ns-train",
+  "codePath": ".pixi/envs/default/bin/ns-train",
+  "codePathLocal": ".pixi/envs/default/bin/ns-train",
+  "git": {
+    "remote": "https://github.com/qrafty-ai/nerfstudio.git",
+    "commit": "9a173439efc2f0fdf9a04ef96913bcaf8aec07b8"
+  },
+  "email": "cctom@umich.edu",
+  "root": "outputs/unnamed/igs2gs/2026-04-02_061254",
+  "host": "ml-ai-ubuntu-gpu-6000adax1-48gb-tor1",
+  "executable": "/root/nerfstudio/.pixi/envs/default/bin/python3.10",
+  "cpu_count": 8,
+  "cpu_count_logical": 8,
+  "gpu": "NVIDIA RTX 6000 Ada Generation",
+  "gpu_count": 1,
+  "disk": {
+    "/": {
+      "total": "520120602624",
+      "used": "66623668224"
+    }
+  },
+  "memory": {
+    "total": "67422699520"
+  },
+  "gpu_nvidia": [
+    {
+      "name": "NVIDIA RTX 6000 Ada Generation",
+      "memoryTotal": "51527024640",
+      "cudaCores": 18176,
+      "architecture": "Ada",
+      "uuid": "GPU-4be8b1b7-9e66-94a5-d491-ba755102654c"
+    }
+  ],
+  "cudaVersion": "13.1",
+  "writerId": "k9w8vx9eirg3bhsaadecbabef3j4npmc"
+}

igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/files/wandb-summary.json

@@ -0,0 +1 @@
+{"_runtime":35154.623678763,"Train Loss Dict/main_loss":0.09642500430345535,"Eval Images Metrics/psnr":43.66539764404297,"Eval Images Metrics/num_rays":816000,"Eval Images Metrics/ssim":0.9864431619644165,"Train Loss Dict/scale_reg":0,"_wandb":{"runtime":35154},"learning_rate/means":1.5999999999999995e-06,"Train Rays / Sec":72217.6389399863,"_timestamp":1.7751455647584038e+09,"Eval Loss Dict/main_loss":0.007277463097125292,"Eval Images/img":{"format":"png","width":2400,"height":680,"_type":"image-file","sha256":"d0b73b39dff4fb964f1584be2ea00bf8591679b98af4430bcf8c33283cafbe39","size":1394745,"path":"media/images/Eval Images/img_43700_d0b73b39dff4fb964f15.png"},"ETA (time)":183216.52140158415,"Eval Metrics Dict/psnr":41.58399200439453,"Eval Metrics Dict/gaussian_count":290248,"_step":43785,"Train Loss":0.09642500430345535,"Train Iter (time)":11.299199593067168,"GPU Memory (MB)":22168.564453125,"Test Rays / Sec":6.854117235566649e+07,"Eval Images Metrics/lpips":0.029599593952298164,"Eval Loss":0.007277463097125292,"Eval Loss Dict/scale_reg":0,"Train Metrics Dict/psnr":21.762773513793945,"Train Metrics Dict/gaussian_count":290248}

igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug-core.log

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igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug.log

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+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Current SDK version is 0.25.1
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Configure stats pid to 44006
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:setup_run_log_directory():717] Logging user logs to outputs/unnamed/igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug.log
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to outputs/unnamed/igs2gs/2026-04-02_061254/wandb/run-20260402_061338-72vr1npl/logs/debug-internal.log
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+config: {'_wandb': {}}
+2026-04-02 06:13:38,770 INFO    MainThread:44006 [wandb_init.py:init():892] starting backend
+2026-04-02 06:13:39,200 INFO    MainThread:44006 [wandb_init.py:init():895] sending inform_init request
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+2026-04-02 06:13:39,907 INFO    MainThread:44006 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-04-02 06:13:39,911 INFO    MainThread:44006 [wandb_init.py:init():1082] run started, returning control to user process
+2026-04-02 06:13:44,394 INFO    MainThread:44006 [wandb_run.py:_config_callback():1403] config_cb None None {'_target': 'igs2gs.igs2gs_trainer.InstructGS2GSTrainer', 'output_dir': 'outputs', 'method_name': 'igs2gs', 'experiment_name': 'unnamed', 'project_name': 'nerfstudio-project', 'timestamp': '2026-04-02_061254', 'machine': {'seed': 42, 'num_devices': 1, 'num_machines': 1, 'machine_rank': 0, 'dist_url': 'auto', 'device_type': 'cuda'}, 'logging': {'relative_log_dir': '.', 'steps_per_log': 10, 'max_buffer_size': 20, 'local_writer': {'_target': 'nerfstudio.utils.writer.LocalWriter', 'enable': True, 'stats_to_track': ['ITER_TRAIN_TIME', 'TRAIN_RAYS_PER_SEC', 'CURR_TEST_PSNR', 'VIS_RAYS_PER_SEC', 'TEST_RAYS_PER_SEC', 'ETA'], 'max_log_size': 10}, 'profiler': 'basic'}, 'viewer': {'relative_log_filename': 'viewer_log_filename.txt', 'websocket_port': None, 'websocket_port_default': 7007, 'websocket_host': '0.0.0.0', 'num_rays_per_chunk': 32768, 'max_num_display_images': 512, 'quit_on_train_completion': False, 'image_format': 'jpeg', 'jpeg_quality': 75, 'make_share_url': False, 'camera_frustum_scale': 0.1, 'default_composite_depth': True}, 'pipeline': {'_target': 'igs2gs.igs2gs_pipeline.InstructGS2GSPipeline', 'datamanager': {'_target': 'igs2gs.igs2gs_datamanager.InstructGS2GSDataManager', 'data': 'data/Replica/office0', 'masks_on_gpu': False, 'images_on_gpu': False, 'dataparser': {'_target': 'nerfstudio.data.dataparsers.replica_dataparser.Replica', 'data': 'data/Replica/office0', 'scale_factor': 1.0, 'scene_scale': 1.0, 'center_method': 'poses', 'auto_scale_poses': True, 'train_split_fraction': 0.9, 'depth_unit_scale_factor': None, 'load_3D_points': True, 'point_cloud_color': True, 'max_3d_points': 100000, 'frame_stride': 1}, 'camera_res_scale_factor': 1.0, 'eval_num_images_to_sample_from': -1, 'eval_num_times_to_repeat_images': -1, 'cache_images': 'cpu', 'cache_images_type': 'float32', 'max_thread_workers': None, 'train_cameras_sampling_strategy': 'random', 'train_cameras_sampling_seed': 42, 'fps_reset_every': 100, 'dataloader_num_workers': 4, 'prefetch_factor': 4, 'cache_compressed_images': False, 'eval_image_indices': [0]}, 'model': {'_target': 'igs2gs.igs2gs.InstructGS2GSModel', 'enable_collider': True, 'collider_params': {'near_plane': 2.0, 'far_plane': 6.0}, 'loss_coefficients': {'rgb_loss_coarse': 1.0, 'rgb_loss_fine': 1.0}, 'eval_num_rays_per_chunk': 4096, 'prompt': None, 'warmup_length': 500, 'refine_every': 100, 'resolution_schedule': 3000, 'background_color': 'random', 'num_downscales': 2, 'cull_alpha_thresh': 0.1, 'cull_scale_thresh': 0.5, 'reset_alpha_every': 30, 'densify_grad_thresh': 0.0008, 'use_absgrad': True, 'densify_size_thresh': 0.01, 'n_split_samples': 2, 'sh_degree_interval': 1000, 'cull_screen_size': 0.15, 'split_screen_size': 0.05, 'stop_screen_size_at': 4000, 'random_init': False, 'num_random': 50000, 'random_scale': 10.0, 'ssim_lambda': 0.2, 'stop_split_at': 15000, 'sh_degree': 3, 'use_scale_regularization': False, 'max_gauss_ratio': 10.0, 'output_depth_during_training': False, 'rasterize_mode': 'classic', 'camera_optimizer': {'_target': 'nerfstudio.cameras.camera_optimizers.CameraOptimizer', 'mode': 'off', 'trans_l2_penalty': 0.01, 'rot_l2_penalty': 0.001, 'optimizer': None, 'scheduler': None}, 'use_bilateral_grid': False, 'grid_shape': [16, 16, 8], 'color_corrected_metrics': False, 'strategy': 'default', 'max_gs_num': 1000000, 'noise_lr': 500000.0, 'mcmc_opacity_reg': 0.01, 'mcmc_scale_reg': 0.01, 'use_lpips': True, 'use_l1': True, 'patch_size': 32, 'lpips_loss_mult': 1.0}, 'prompt': 'make the guitar case wood', 'guidance_scale': 12.5, 'image_guidance_scale': 1.5, 'gs_steps': 2500, 'diffusion_steps': 20, 'lower_bound': 0.7, 'upper_bound': 0.98, 'ip2p_device': None, 'ip2p_use_full_precision': False}, 'optimizers': {'means': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.00016, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 1.6e-06, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}, 'features_dc': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0025, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'features_rest': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.000125, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'opacities': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.05, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'scales': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.005, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'quats': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'camera_opt': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 5e-05, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}}, 'vis': 'wandb', 'data': None, 'prompt': None, 'relative_model_dir': 'nerfstudio_models', 'load_scheduler': True, 'steps_per_save': 500, 'steps_per_eval_batch': 100, 'steps_per_eval_image': 100, 'steps_per_eval_all_images': 100000, 'max_num_iterations': 60000, 'mixed_precision': False, 'use_grad_scaler': False, 'save_only_latest_checkpoint': True, 'load_dir': 'outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models', 'load_step': None, 'load_config': None, 'load_checkpoint': None, 'log_gradients': False, 'gradient_accumulation_steps': {'camera_opt': 100, 'color': 10, 'shs': 10}, 'start_paused': False}
+2026-04-02 15:59:34,248 INFO    wandb-AsyncioManager-main:44006 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-02 15:59:34,249 INFO    wandb-AsyncioManager-main:44006 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-04-02 15:59:34,933 ERROR   wandb-AsyncioManager-main:44006 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 371, in drain
+    await self._protocol._drain_helper()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

igs2gs/2026-04-02_160148/config.yml

@@ -0,0 +1,253 @@
+!!python/object:igs2gs.igs2gs_trainer.InstructGS2GSTrainerConfig
+_target: !!python/name:igs2gs.igs2gs_trainer.InstructGS2GSTrainer ''
+data: null
+experiment_name: unnamed
+gradient_accumulation_steps:
+  camera_opt: 100
+  color: 10
+  shs: 10
+load_checkpoint: null
+load_config: null
+load_dir: !!python/object/apply:pathlib.PosixPath
+- outputs
+- unnamed
+- splatfacto
+- 2026-04-02_055552
+- nerfstudio_models
+load_scheduler: true
+load_step: null
+log_gradients: false
+logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
+  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
+    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
+    enable: true
+    max_log_size: 10
+    stats_to_track: !!python/tuple
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Iter (time)
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test PSNR
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Vis Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - ETA (time)
+  max_buffer_size: 20
+  profiler: basic
+  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
+  steps_per_log: 10
+machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
+  device_type: cuda
+  dist_url: auto
+  machine_rank: 0
+  num_devices: 1
+  num_machines: 1
+  seed: 42
+max_num_iterations: 50000
+method_name: igs2gs
+mixed_precision: false
+optimizers:
+  camera_opt:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: &id001 !!python/name:torch.optim.adam.Adam ''
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: &id002 !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler ''
+      lr_final: 5.0e-05
+      lr_pre_warmup: 1.0e-08
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 0
+  features_dc:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.0025
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  features_rest:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.000125
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  means:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.00016
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: *id002
+      lr_final: 1.6e-06
+      lr_pre_warmup: 1.0e-08
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 0
+  opacities:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.05
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  scales:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.005
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+output_dir: !!python/object/apply:pathlib.PosixPath
+- outputs
+pipeline: !!python/object:igs2gs.igs2gs_pipeline.InstructGS2GSPipelineConfig
+  _target: !!python/name:igs2gs.igs2gs_pipeline.InstructGS2GSPipeline ''
+  datamanager: !!python/object:igs2gs.igs2gs_datamanager.InstructGS2GSDataManagerConfig
+    _target: !!python/name:igs2gs.igs2gs_datamanager.InstructGS2GSDataManager ''
+    cache_compressed_images: false
+    cache_images: cpu
+    cache_images_type: float32
+    camera_res_scale_factor: 1.0
+    data: null
+    dataloader_num_workers: 4
+    dataparser: !!python/object:nerfstudio.data.dataparsers.replica_dataparser.ReplicaDataParserConfig
+      _target: !!python/name:nerfstudio.data.dataparsers.replica_dataparser.Replica ''
+      auto_scale_poses: true
+      center_method: poses
+      data: !!python/object/apply:pathlib.PosixPath
+      - data
+      - Replica
+      - office0
+      depth_unit_scale_factor: null
+      frame_stride: 1
+      load_3D_points: true
+      max_3d_points: 100000
+      point_cloud_color: true
+      scale_factor: 1.0
+      scene_scale: 1.0
+      train_split_fraction: 0.9
+    eval_image_indices: !!python/tuple
+    - 0
+    eval_num_images_to_sample_from: -1
+    eval_num_times_to_repeat_images: -1
+    fps_reset_every: 100
+    images_on_gpu: false
+    masks_on_gpu: false
+    max_thread_workers: null
+    prefetch_factor: 4
+    train_cameras_sampling_seed: 42
+    train_cameras_sampling_strategy: random
+  diffusion_steps: 20
+  gs_steps: 2500
+  guidance_scale: 12.5
+  image_guidance_scale: 1.5
+  ip2p_device: null
+  ip2p_use_full_precision: false
+  lower_bound: 0.7
+  model: !!python/object:igs2gs.igs2gs.InstructGS2GSModelConfig
+    _target: !!python/name:igs2gs.igs2gs.InstructGS2GSModel ''
+    background_color: random
+    camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig
+      _target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer ''
+      mode: 'off'
+      optimizer: null
+      rot_l2_penalty: 0.001
+      scheduler: null
+      trans_l2_penalty: 0.01
+    collider_params:
+      far_plane: 6.0
+      near_plane: 2.0
+    color_corrected_metrics: false
+    cull_alpha_thresh: 0.1
+    cull_scale_thresh: 0.5
+    cull_screen_size: 0.15
+    densify_grad_thresh: 0.0008
+    densify_size_thresh: 0.01
+    enable_collider: true
+    eval_num_rays_per_chunk: 4096
+    grid_shape: !!python/tuple
+    - 16
+    - 16
+    - 8
+    loss_coefficients:
+      rgb_loss_coarse: 1.0
+      rgb_loss_fine: 1.0
+    lpips_loss_mult: 1.0
+    max_gauss_ratio: 10.0
+    max_gs_num: 1000000
+    mcmc_opacity_reg: 0.01
+    mcmc_scale_reg: 0.01
+    n_split_samples: 2
+    noise_lr: 500000.0
+    num_downscales: 2
+    num_random: 50000
+    output_depth_during_training: false
+    patch_size: 32
+    prompt: null
+    random_init: false
+    random_scale: 10.0
+    rasterize_mode: classic
+    refine_every: 100
+    reset_alpha_every: 30
+    resolution_schedule: 3000
+    sh_degree: 3
+    sh_degree_interval: 1000
+    split_screen_size: 0.05
+    ssim_lambda: 0.2
+    stop_screen_size_at: 4000
+    stop_split_at: 15000
+    strategy: default
+    use_absgrad: true
+    use_bilateral_grid: false
+    use_l1: true
+    use_lpips: true
+    use_scale_regularization: false
+    warmup_length: 500
+  prompt: make the sofa more cozy
+  upper_bound: 0.98
+project_name: nerfstudio-project
+prompt: null
+relative_model_dir: !!python/object/apply:pathlib.PosixPath
+- nerfstudio_models
+save_only_latest_checkpoint: true
+start_paused: false
+steps_per_eval_all_images: 100000
+steps_per_eval_batch: 100
+steps_per_eval_image: 100
+steps_per_save: 500
+timestamp: 2026-04-02_160148
+use_grad_scaler: false
+viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
+  camera_frustum_scale: 0.1
+  default_composite_depth: true
+  image_format: jpeg
+  jpeg_quality: 75
+  make_share_url: false
+  max_num_display_images: 512
+  num_rays_per_chunk: 32768
+  quit_on_train_completion: false
+  relative_log_filename: viewer_log_filename.txt
+  websocket_host: 0.0.0.0
+  websocket_port: null
+  websocket_port_default: 7007
+vis: wandb

igs2gs/2026-04-02_160148/dataparser_transforms.json

@@ -0,0 +1,23 @@
+{
+    "transform": [
+        [
+            1.0,
+            0.0,
+            0.0,
+            -0.16180968284606934
+        ],
+        [
+            0.0,
+            1.0,
+            0.0,
+            1.0154469013214111
+        ],
+        [
+            0.0,
+            0.0,
+            1.0,
+            -0.679202139377594
+        ]
+    ],
+    "scale": 0.7265199626511969
+}

igs2gs/2026-04-02_160148/wandb/debug.log

@@ -0,0 +1,37 @@
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+2026-04-02 16:02:17,073 INFO    MainThread:48656 [wandb_setup.py:_flush():81] Configure stats pid to 48656
+2026-04-02 16:02:17,073 INFO    MainThread:48656 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-04-02 16:02:17,074 INFO    MainThread:48656 [wandb_init.py:setup_run_log_directory():717] Logging user logs to outputs/unnamed/igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/logs/debug.log
+2026-04-02 16:02:17,074 INFO    MainThread:48656 [wandb_init.py:setup_run_log_directory():718] Logging internal logs to outputs/unnamed/igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/logs/debug-internal.log
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+2026-04-02 16:02:17,074 INFO    MainThread:48656 [wandb_init.py:init():849] wandb.init called with sweep_config: {}
+config: {'_wandb': {}}
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+2026-04-02 16:02:18,501 INFO    MainThread:48656 [wandb_run.py:_redirect():2465] Redirects installed.
+2026-04-02 16:02:18,510 INFO    MainThread:48656 [wandb_init.py:init():1082] run started, returning control to user process
+2026-04-02 16:02:22,656 INFO    MainThread:48656 [wandb_run.py:_config_callback():1403] config_cb None None {'_target': 'igs2gs.igs2gs_trainer.InstructGS2GSTrainer', 'output_dir': 'outputs', 'method_name': 'igs2gs', 'experiment_name': 'unnamed', 'project_name': 'nerfstudio-project', 'timestamp': '2026-04-02_160148', 'machine': {'seed': 42, 'num_devices': 1, 'num_machines': 1, 'machine_rank': 0, 'dist_url': 'auto', 'device_type': 'cuda'}, 'logging': {'relative_log_dir': '.', 'steps_per_log': 10, 'max_buffer_size': 20, 'local_writer': {'_target': 'nerfstudio.utils.writer.LocalWriter', 'enable': True, 'stats_to_track': ['ITER_TRAIN_TIME', 'TRAIN_RAYS_PER_SEC', 'CURR_TEST_PSNR', 'VIS_RAYS_PER_SEC', 'TEST_RAYS_PER_SEC', 'ETA'], 'max_log_size': 10}, 'profiler': 'basic'}, 'viewer': {'relative_log_filename': 'viewer_log_filename.txt', 'websocket_port': None, 'websocket_port_default': 7007, 'websocket_host': '0.0.0.0', 'num_rays_per_chunk': 32768, 'max_num_display_images': 512, 'quit_on_train_completion': False, 'image_format': 'jpeg', 'jpeg_quality': 75, 'make_share_url': False, 'camera_frustum_scale': 0.1, 'default_composite_depth': True}, 'pipeline': {'_target': 'igs2gs.igs2gs_pipeline.InstructGS2GSPipeline', 'datamanager': {'_target': 'igs2gs.igs2gs_datamanager.InstructGS2GSDataManager', 'data': 'data/Replica/office0', 'masks_on_gpu': False, 'images_on_gpu': False, 'dataparser': {'_target': 'nerfstudio.data.dataparsers.replica_dataparser.Replica', 'data': 'data/Replica/office0', 'scale_factor': 1.0, 'scene_scale': 1.0, 'center_method': 'poses', 'auto_scale_poses': True, 'train_split_fraction': 0.9, 'depth_unit_scale_factor': None, 'load_3D_points': True, 'point_cloud_color': True, 'max_3d_points': 100000, 'frame_stride': 1}, 'camera_res_scale_factor': 1.0, 'eval_num_images_to_sample_from': -1, 'eval_num_times_to_repeat_images': -1, 'cache_images': 'cpu', 'cache_images_type': 'float32', 'max_thread_workers': None, 'train_cameras_sampling_strategy': 'random', 'train_cameras_sampling_seed': 42, 'fps_reset_every': 100, 'dataloader_num_workers': 4, 'prefetch_factor': 4, 'cache_compressed_images': False, 'eval_image_indices': [0]}, 'model': {'_target': 'igs2gs.igs2gs.InstructGS2GSModel', 'enable_collider': True, 'collider_params': {'near_plane': 2.0, 'far_plane': 6.0}, 'loss_coefficients': {'rgb_loss_coarse': 1.0, 'rgb_loss_fine': 1.0}, 'eval_num_rays_per_chunk': 4096, 'prompt': None, 'warmup_length': 500, 'refine_every': 100, 'resolution_schedule': 3000, 'background_color': 'random', 'num_downscales': 2, 'cull_alpha_thresh': 0.1, 'cull_scale_thresh': 0.5, 'reset_alpha_every': 30, 'densify_grad_thresh': 0.0008, 'use_absgrad': True, 'densify_size_thresh': 0.01, 'n_split_samples': 2, 'sh_degree_interval': 1000, 'cull_screen_size': 0.15, 'split_screen_size': 0.05, 'stop_screen_size_at': 4000, 'random_init': False, 'num_random': 50000, 'random_scale': 10.0, 'ssim_lambda': 0.2, 'stop_split_at': 15000, 'sh_degree': 3, 'use_scale_regularization': False, 'max_gauss_ratio': 10.0, 'output_depth_during_training': False, 'rasterize_mode': 'classic', 'camera_optimizer': {'_target': 'nerfstudio.cameras.camera_optimizers.CameraOptimizer', 'mode': 'off', 'trans_l2_penalty': 0.01, 'rot_l2_penalty': 0.001, 'optimizer': None, 'scheduler': None}, 'use_bilateral_grid': False, 'grid_shape': [16, 16, 8], 'color_corrected_metrics': False, 'strategy': 'default', 'max_gs_num': 1000000, 'noise_lr': 500000.0, 'mcmc_opacity_reg': 0.01, 'mcmc_scale_reg': 0.01, 'use_lpips': True, 'use_l1': True, 'patch_size': 32, 'lpips_loss_mult': 1.0}, 'prompt': 'make the sofa more cozy', 'guidance_scale': 12.5, 'image_guidance_scale': 1.5, 'gs_steps': 2500, 'diffusion_steps': 20, 'lower_bound': 0.7, 'upper_bound': 0.98, 'ip2p_device': None, 'ip2p_use_full_precision': False}, 'optimizers': {'means': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.00016, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 1.6e-06, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}, 'features_dc': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0025, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'features_rest': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.000125, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'opacities': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.05, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'scales': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.005, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'quats': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'camera_opt': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 5e-05, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}}, 'vis': 'wandb', 'data': None, 'prompt': None, 'relative_model_dir': 'nerfstudio_models', 'load_scheduler': True, 'steps_per_save': 500, 'steps_per_eval_batch': 100, 'steps_per_eval_image': 100, 'steps_per_eval_all_images': 100000, 'max_num_iterations': 50000, 'mixed_precision': False, 'use_grad_scaler': False, 'save_only_latest_checkpoint': True, 'load_dir': 'outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models', 'load_step': None, 'load_config': None, 'load_checkpoint': None, 'log_gradients': False, 'gradient_accumulation_steps': {'camera_opt': 100, 'color': 10, 'shs': 10}, 'start_paused': False}
+2026-04-03 15:00:25,248 INFO    wandb-AsyncioManager-main:48656 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-03 15:00:25,248 INFO    wandb-AsyncioManager-main:48656 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-04-03 15:00:25,844 ERROR   wandb-AsyncioManager-main:48656 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 371, in drain
+    await self._protocol._drain_helper()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/files/config.yaml

@@ -0,0 +1,353 @@
+_target:
+    value: igs2gs.igs2gs_trainer.InstructGS2GSTrainer
+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            x7ovucaicgwxjg23r26hhgufv0tcsalu:
+                args:
+                    - igs2gs
+                    - --load-dir
+                    - ./outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models/
+                    - --max-num-iterations
+                    - "50000"
+                    - --pipeline.prompt
+                    - make the sofa more cozy
+                    - --pipeline.guidance-scale
+                    - "12.5"
+                    - --pipeline.image-guidance-scale
+                    - "1.5"
+                    - --vis
+                    - wandb
+                    - replica-data
+                    - --data
+                    - data/Replica/office0/
+                codePath: .pixi/envs/default/bin/ns-train
+                codePathLocal: .pixi/envs/default/bin/ns-train
+                cpu_count: 8
+                cpu_count_logical: 8
+                cudaVersion: "13.1"
+                disk:
+                    /:
+                        total: "520120602624"
+                        used: "66920906752"
+                email: cctom@umich.edu
+                executable: /root/nerfstudio/.pixi/envs/default/bin/python3.10
+                git:
+                    commit: 9a173439efc2f0fdf9a04ef96913bcaf8aec07b8
+                    remote: https://github.com/qrafty-ai/nerfstudio.git
+                gpu: NVIDIA RTX 6000 Ada Generation
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ada
+                      cudaCores: 18176
+                      memoryTotal: "51527024640"
+                      name: NVIDIA RTX 6000 Ada Generation
+                      uuid: GPU-4be8b1b7-9e66-94a5-d491-ba755102654c
+                host: ml-ai-ubuntu-gpu-6000adax1-48gb-tor1
+                memory:
+                    total: "67422699520"
+                os: Linux-5.15.0-171-generic-x86_64-with-glibc2.35
+                program: /root/nerfstudio/.pixi/envs/default/bin/ns-train
+                python: CPython 3.10.14
+                root: outputs/unnamed/igs2gs/2026-04-02_160148
+                startedAt: "2026-04-02T16:02:17.071586Z"
+                writerId: x7ovucaicgwxjg23r26hhgufv0tcsalu
+        m: []
+        python_version: 3.10.14
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 53
+                - 71
+                - 79
+                - 83
+            "2":
+                - 1
+                - 5
+                - 11
+                - 41
+                - 49
+                - 53
+                - 71
+                - 79
+                - 83
+            "3":
+                - 13
+                - 61
+            "4": 3.10.14
+            "5": 0.25.1
+            "6": 5.4.0
+            "10":
+                - 20
+            "12": 0.25.1
+            "13": linux-x86_64
+data:
+    value: null
+experiment_name:
+    value: unnamed
+gradient_accumulation_steps:
+    value:
+        camera_opt: 100
+        color: 10
+        shs: 10
+load_checkpoint:
+    value: null
+load_config:
+    value: null
+load_dir:
+    value: outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models
+load_scheduler:
+    value: true
+load_step:
+    value: null
+log_gradients:
+    value: false
+logging:
+    value:
+        local_writer:
+            _target: nerfstudio.utils.writer.LocalWriter
+            enable: true
+            max_log_size: 10
+            stats_to_track:
+                - ITER_TRAIN_TIME
+                - TRAIN_RAYS_PER_SEC
+                - CURR_TEST_PSNR
+                - VIS_RAYS_PER_SEC
+                - TEST_RAYS_PER_SEC
+                - ETA
+        max_buffer_size: 20
+        profiler: basic
+        relative_log_dir: .
+        steps_per_log: 10
+machine:
+    value:
+        device_type: cuda
+        dist_url: auto
+        machine_rank: 0
+        num_devices: 1
+        num_machines: 1
+        seed: 42
+max_num_iterations:
+    value: 50000
+method_name:
+    value: igs2gs
+mixed_precision:
+    value: false
+optimizers:
+    value:
+        camera_opt:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.001
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 5e-05
+                lr_pre_warmup: 1e-08
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 0
+        features_dc:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.0025
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        features_rest:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.000125
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        means:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.00016
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 1.6e-06
+                lr_pre_warmup: 1e-08
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 0
+        opacities:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.05
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        quats:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.001
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        scales:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.005
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+output_dir:
+    value: outputs
+pipeline:
+    value:
+        _target: igs2gs.igs2gs_pipeline.InstructGS2GSPipeline
+        datamanager:
+            _target: igs2gs.igs2gs_datamanager.InstructGS2GSDataManager
+            cache_compressed_images: false
+            cache_images: cpu
+            cache_images_type: float32
+            camera_res_scale_factor: 1
+            data: data/Replica/office0
+            dataloader_num_workers: 4
+            dataparser:
+                _target: nerfstudio.data.dataparsers.replica_dataparser.Replica
+                auto_scale_poses: true
+                center_method: poses
+                data: data/Replica/office0
+                depth_unit_scale_factor: null
+                frame_stride: 1
+                load_3D_points: true
+                max_3d_points: 100000
+                point_cloud_color: true
+                scale_factor: 1
+                scene_scale: 1
+                train_split_fraction: 0.9
+            eval_image_indices:
+                - 0
+            eval_num_images_to_sample_from: -1
+            eval_num_times_to_repeat_images: -1
+            fps_reset_every: 100
+            images_on_gpu: false
+            masks_on_gpu: false
+            max_thread_workers: null
+            prefetch_factor: 4
+            train_cameras_sampling_seed: 42
+            train_cameras_sampling_strategy: random
+        diffusion_steps: 20
+        gs_steps: 2500
+        guidance_scale: 12.5
+        image_guidance_scale: 1.5
+        ip2p_device: null
+        ip2p_use_full_precision: false
+        lower_bound: 0.7
+        model:
+            _target: igs2gs.igs2gs.InstructGS2GSModel
+            background_color: random
+            camera_optimizer:
+                _target: nerfstudio.cameras.camera_optimizers.CameraOptimizer
+                mode: "off"
+                optimizer: null
+                rot_l2_penalty: 0.001
+                scheduler: null
+                trans_l2_penalty: 0.01
+            collider_params:
+                far_plane: 6
+                near_plane: 2
+            color_corrected_metrics: false
+            cull_alpha_thresh: 0.1
+            cull_scale_thresh: 0.5
+            cull_screen_size: 0.15
+            densify_grad_thresh: 0.0008
+            densify_size_thresh: 0.01
+            enable_collider: true
+            eval_num_rays_per_chunk: 4096
+            grid_shape:
+                - 16
+                - 16
+                - 8
+            loss_coefficients:
+                rgb_loss_coarse: 1
+                rgb_loss_fine: 1
+            lpips_loss_mult: 1
+            max_gauss_ratio: 10
+            max_gs_num: 1000000
+            mcmc_opacity_reg: 0.01
+            mcmc_scale_reg: 0.01
+            n_split_samples: 2
+            noise_lr: 500000
+            num_downscales: 2
+            num_random: 50000
+            output_depth_during_training: false
+            patch_size: 32
+            prompt: null
+            random_init: false
+            random_scale: 10
+            rasterize_mode: classic
+            refine_every: 100
+            reset_alpha_every: 30
+            resolution_schedule: 3000
+            sh_degree: 3
+            sh_degree_interval: 1000
+            split_screen_size: 0.05
+            ssim_lambda: 0.2
+            stop_screen_size_at: 4000
+            stop_split_at: 15000
+            strategy: default
+            use_absgrad: true
+            use_bilateral_grid: false
+            use_l1: true
+            use_lpips: true
+            use_scale_regularization: false
+            warmup_length: 500
+        prompt: make the sofa more cozy
+        upper_bound: 0.98
+project_name:
+    value: nerfstudio-project
+prompt:
+    value: null
+relative_model_dir:
+    value: nerfstudio_models
+save_only_latest_checkpoint:
+    value: true
+start_paused:
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igs2gs/2026-04-02_160148/wandb/run-20260402_160217-znstcd1w/files/requirements.txt

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'use_scale_regularization': False, 'max_gauss_ratio': 10.0, 'output_depth_during_training': False, 'rasterize_mode': 'classic', 'camera_optimizer': {'_target': 'nerfstudio.cameras.camera_optimizers.CameraOptimizer', 'mode': 'off', 'trans_l2_penalty': 0.01, 'rot_l2_penalty': 0.001, 'optimizer': None, 'scheduler': None}, 'use_bilateral_grid': False, 'grid_shape': [16, 16, 8], 'color_corrected_metrics': False, 'strategy': 'default', 'max_gs_num': 1000000, 'noise_lr': 500000.0, 'mcmc_opacity_reg': 0.01, 'mcmc_scale_reg': 0.01, 'use_lpips': True, 'use_l1': True, 'patch_size': 32, 'lpips_loss_mult': 1.0}, 'prompt': 'make the sofa more cozy', 'guidance_scale': 12.5, 'image_guidance_scale': 1.5, 'gs_steps': 2500, 'diffusion_steps': 20, 'lower_bound': 0.7, 'upper_bound': 0.98, 'ip2p_device': None, 'ip2p_use_full_precision': False}, 'optimizers': {'means': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.00016, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 1.6e-06, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}, 'features_dc': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0025, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'features_rest': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.000125, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'opacities': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.05, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'scales': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.005, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'quats': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'camera_opt': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 5e-05, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}}, 'vis': 'wandb', 'data': None, 'prompt': None, 'relative_model_dir': 'nerfstudio_models', 'load_scheduler': True, 'steps_per_save': 500, 'steps_per_eval_batch': 100, 'steps_per_eval_image': 100, 'steps_per_eval_all_images': 100000, 'max_num_iterations': 50000, 'mixed_precision': False, 'use_grad_scaler': False, 'save_only_latest_checkpoint': True, 'load_dir': 'outputs/unnamed/splatfacto/2026-04-02_055552/nerfstudio_models', 'load_step': None, 'load_config': None, 'load_checkpoint': None, 'log_gradients': False, 'gradient_accumulation_steps': {'camera_opt': 100, 'color': 10, 'shs': 10}, 'start_paused': False}
+2026-04-03 15:00:25,248 INFO    wandb-AsyncioManager-main:48656 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-03 15:00:25,248 INFO    wandb-AsyncioManager-main:48656 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-04-03 15:00:25,844 ERROR   wandb-AsyncioManager-main:48656 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 371, in drain
+    await self._protocol._drain_helper()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

splatfacto/2026-04-02_055552/config.yml

@@ -0,0 +1,244 @@
+!!python/object:nerfstudio.engine.trainer.TrainerConfig
+_target: !!python/name:nerfstudio.engine.trainer.Trainer ''
+data: null
+experiment_name: unnamed
+gradient_accumulation_steps: {}
+load_checkpoint: null
+load_config: null
+load_dir: null
+load_scheduler: true
+load_step: null
+log_gradients: false
+logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
+  local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
+    _target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
+    enable: true
+    max_log_size: 10
+    stats_to_track: !!python/tuple
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Iter (time)
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Train Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test PSNR
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Vis Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - Test Rays / Sec
+    - !!python/object/apply:nerfstudio.utils.writer.EventName
+      - ETA (time)
+  max_buffer_size: 20
+  profiler: basic
+  relative_log_dir: !!python/object/apply:pathlib.PosixPath []
+  steps_per_log: 10
+machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
+  device_type: cuda
+  dist_url: auto
+  machine_rank: 0
+  num_devices: 1
+  num_machines: 1
+  seed: 42
+max_num_iterations: 40000
+method_name: splatfacto
+mixed_precision: false
+optimizers:
+  bilateral_grid:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: &id001 !!python/name:torch.optim.adam.Adam ''
+      eps: 1.0e-15
+      lr: 0.002
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: &id002 !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler ''
+      lr_final: 0.0001
+      lr_pre_warmup: 0
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 1000
+  camera_opt:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.0001
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: *id002
+      lr_final: 5.0e-07
+      lr_pre_warmup: 0
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 1000
+  features_dc:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.0025
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  features_rest:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.000125
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  means:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.00016
+      max_norm: null
+      weight_decay: 0
+    scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
+      _target: *id002
+      lr_final: 1.6e-06
+      lr_pre_warmup: 1.0e-08
+      max_steps: 30000
+      ramp: cosine
+      warmup_steps: 0
+  opacities:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.05
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  quats:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.001
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+  scales:
+    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
+      _target: *id001
+      eps: 1.0e-15
+      lr: 0.005
+      max_norm: null
+      weight_decay: 0
+    scheduler: null
+output_dir: !!python/object/apply:pathlib.PosixPath
+- outputs
+pipeline: !!python/object:nerfstudio.pipelines.base_pipeline.VanillaPipelineConfig
+  _target: !!python/name:nerfstudio.pipelines.base_pipeline.VanillaPipeline ''
+  datamanager: !!python/object:nerfstudio.data.datamanagers.full_images_datamanager.FullImageDatamanagerConfig
+    _target: !!python/name:nerfstudio.data.datamanagers.full_images_datamanager.FullImageDatamanager ''
+    cache_compressed_images: false
+    cache_images: gpu
+    cache_images_type: uint8
+    camera_res_scale_factor: 1.0
+    data: null
+    dataloader_num_workers: 4
+    dataparser: !!python/object:nerfstudio.data.dataparsers.replica_dataparser.ReplicaDataParserConfig
+      _target: !!python/name:nerfstudio.data.dataparsers.replica_dataparser.Replica ''
+      auto_scale_poses: true
+      center_method: poses
+      data: !!python/object/apply:pathlib.PosixPath
+      - data
+      - Replica
+      - office0
+      depth_unit_scale_factor: null
+      frame_stride: 1
+      load_3D_points: true
+      max_3d_points: 100000
+      point_cloud_color: true
+      scale_factor: 1.0
+      scene_scale: 1.0
+      train_split_fraction: 0.9
+    eval_num_images_to_sample_from: -1
+    eval_num_times_to_repeat_images: -1
+    fps_reset_every: 100
+    images_on_gpu: false
+    masks_on_gpu: false
+    max_thread_workers: null
+    prefetch_factor: 4
+    train_cameras_sampling_seed: 42
+    train_cameras_sampling_strategy: random
+  model: !!python/object:nerfstudio.models.splatfacto.SplatfactoModelConfig
+    _target: !!python/name:nerfstudio.models.splatfacto.SplatfactoModel ''
+    background_color: random
+    camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig
+      _target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer ''
+      mode: 'off'
+      optimizer: null
+      rot_l2_penalty: 0.001
+      scheduler: null
+      trans_l2_penalty: 0.01
+    collider_params:
+      far_plane: 6.0
+      near_plane: 2.0
+    color_corrected_metrics: false
+    cull_alpha_thresh: 0.005
+    cull_scale_thresh: 0.5
+    cull_screen_size: 0.15
+    densify_grad_thresh: 0.0008
+    densify_size_thresh: 0.01
+    enable_collider: true
+    eval_num_rays_per_chunk: 4096
+    grid_shape: !!python/tuple
+    - 16
+    - 16
+    - 8
+    loss_coefficients:
+      rgb_loss_coarse: 1.0
+      rgb_loss_fine: 1.0
+    max_gauss_ratio: 10.0
+    max_gs_num: 1000000
+    mcmc_opacity_reg: 0.01
+    mcmc_scale_reg: 0.01
+    n_split_samples: 2
+    noise_lr: 500000.0
+    num_downscales: 2
+    num_random: 50000
+    output_depth_during_training: false
+    prompt: null
+    random_init: false
+    random_scale: 10.0
+    rasterize_mode: classic
+    refine_every: 100
+    reset_alpha_every: 30
+    resolution_schedule: 3000
+    sh_degree: 3
+    sh_degree_interval: 1000
+    split_screen_size: 0.05
+    ssim_lambda: 0.2
+    stop_screen_size_at: 4000
+    stop_split_at: 15000
+    strategy: default
+    use_absgrad: true
+    use_bilateral_grid: false
+    use_scale_regularization: true
+    warmup_length: 500
+project_name: nerfstudio-project
+prompt: null
+relative_model_dir: !!python/object/apply:pathlib.PosixPath
+- nerfstudio_models
+save_only_latest_checkpoint: true
+start_paused: false
+steps_per_eval_all_images: 1000
+steps_per_eval_batch: 0
+steps_per_eval_image: 100
+steps_per_save: 2000
+timestamp: 2026-04-02_055552
+use_grad_scaler: false
+viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
+  camera_frustum_scale: 0.1
+  default_composite_depth: true
+  image_format: jpeg
+  jpeg_quality: 75
+  make_share_url: false
+  max_num_display_images: 512
+  num_rays_per_chunk: 32768
+  quit_on_train_completion: false
+  relative_log_filename: viewer_log_filename.txt
+  websocket_host: 0.0.0.0
+  websocket_port: null
+  websocket_port_default: 7007
+vis: wandb

splatfacto/2026-04-02_055552/dataparser_transforms.json

@@ -0,0 +1,23 @@
+{
+    "transform": [
+        [
+            1.0,
+            0.0,
+            0.0,
+            -0.16180968284606934
+        ],
+        [
+            0.0,
+            1.0,
+            0.0,
+            1.0154469013214111
+        ],
+        [
+            0.0,
+            0.0,
+            1.0,
+            -0.679202139377594
+        ]
+    ],
+    "scale": 0.7265199626511969
+}

splatfacto/2026-04-02_055552/wandb/debug-internal.log

@@ -0,0 +1,132 @@
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'use_scale_regularization': True, 'max_gauss_ratio': 10.0, 'output_depth_during_training': False, 'rasterize_mode': 'classic', 'camera_optimizer': {'_target': 'nerfstudio.cameras.camera_optimizers.CameraOptimizer', 'mode': 'off', 'trans_l2_penalty': 0.01, 'rot_l2_penalty': 0.001, 'optimizer': None, 'scheduler': None}, 'use_bilateral_grid': False, 'grid_shape': [16, 16, 8], 'color_corrected_metrics': False, 'strategy': 'default', 'max_gs_num': 1000000, 'noise_lr': 500000.0, 'mcmc_opacity_reg': 0.01, 'mcmc_scale_reg': 0.01}}, 'optimizers': {'means': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.00016, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 1e-08, 'lr_final': 1.6e-06, 'warmup_steps': 0, 'max_steps': 30000, 'ramp': 'cosine'}}, 'features_dc': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0025, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'features_rest': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.000125, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'opacities': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.05, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'scales': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.005, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'quats': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': None}, 'camera_opt': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.0001, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 0, 'lr_final': 5e-07, 'warmup_steps': 1000, 'max_steps': 30000, 'ramp': 'cosine'}}, 'bilateral_grid': {'optimizer': {'_target': 'torch.optim.adam.Adam', 'lr': 0.002, 'eps': 1e-15, 'max_norm': None, 'weight_decay': 0}, 'scheduler': {'_target': 'nerfstudio.engine.schedulers.ExponentialDecayScheduler', 'lr_pre_warmup': 0, 'lr_final': 0.0001, 'warmup_steps': 1000, 'max_steps': 30000, 'ramp': 'cosine'}}}, 'vis': 'wandb', 'data': None, 'prompt': None, 'relative_model_dir': 'nerfstudio_models', 'load_scheduler': True, 'steps_per_save': 2000, 'steps_per_eval_batch': 0, 'steps_per_eval_image': 100, 'steps_per_eval_all_images': 1000, 'max_num_iterations': 40000, 'mixed_precision': False, 'use_grad_scaler': False, 'save_only_latest_checkpoint': True, 'load_dir': None, 'load_step': None, 'load_config': None, 'load_checkpoint': None, 'log_gradients': False, 'gradient_accumulation_steps': {}, 'start_paused': False}
+2026-04-02 06:10:32,466 INFO    wandb-AsyncioManager-main:12095 [service_client.py:_forward_responses():134] Reached EOF.
+2026-04-02 06:10:32,466 INFO    wandb-AsyncioManager-main:12095 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-04-02 06:10:33,415 ERROR   wandb-AsyncioManager-main:12095 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 371, in drain
+    await self._protocol._drain_helper()
+  File "/root/nerfstudio/.pixi/envs/default/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost

splatfacto/2026-04-02_055552/wandb/run-20260402_055558-fyt52xdq/files/config.yaml

@@ -0,0 +1,330 @@
+_target:
+    value: nerfstudio.engine.trainer.Trainer
+_wandb:
+    value:
+        cli_version: 0.25.1
+        e:
+            w7foem33buv7qj28p1y3yurnz8vk24wp:
+                args:
+                    - splatfacto
+                    - --max-num-iterations
+                    - "40000"
+                    - --pipeline.model.cull_alpha_thresh=0.005
+                    - --pipeline.model.use_scale_regularization=True
+                    - --vis
+                    - wandb
+                    - replica-data
+                    - --data
+                    - data/Replica/office0
+                codePath: .pixi/envs/default/bin/ns-train
+                codePathLocal: .pixi/envs/default/bin/ns-train
+                cpu_count: 8
+                cpu_count_logical: 8
+                cudaVersion: "13.1"
+                disk:
+                    /:
+                        total: "520120602624"
+                        used: "60904890368"
+                email: cctom@umich.edu
+                executable: /root/nerfstudio/.pixi/envs/default/bin/python3.10
+                git:
+                    commit: 9a173439efc2f0fdf9a04ef96913bcaf8aec07b8
+                    remote: https://github.com/qrafty-ai/nerfstudio.git
+                gpu: NVIDIA RTX 6000 Ada Generation
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ada
+                      cudaCores: 18176
+                      memoryTotal: "51527024640"
+                      name: NVIDIA RTX 6000 Ada Generation
+                      uuid: GPU-4be8b1b7-9e66-94a5-d491-ba755102654c
+                host: ml-ai-ubuntu-gpu-6000adax1-48gb-tor1
+                memory:
+                    total: "67422699520"
+                os: Linux-5.15.0-171-generic-x86_64-with-glibc2.35
+                program: /root/nerfstudio/.pixi/envs/default/bin/ns-train
+                python: CPython 3.10.14
+                root: outputs/unnamed/splatfacto/2026-04-02_055552
+                startedAt: "2026-04-02T05:55:58.875620Z"
+                writerId: w7foem33buv7qj28p1y3yurnz8vk24wp
+        m: []
+        python_version: 3.10.14
+        t:
+            "1":
+                - 1
+                - 5
+                - 41
+                - 53
+            "2":
+                - 1
+                - 5
+                - 41
+                - 53
+            "3":
+                - 13
+                - 61
+            "4": 3.10.14
+            "5": 0.25.1
+            "10":
+                - 20
+            "12": 0.25.1
+            "13": linux-x86_64
+data:
+    value: null
+experiment_name:
+    value: unnamed
+load_checkpoint:
+    value: null
+load_config:
+    value: null
+load_dir:
+    value: null
+load_scheduler:
+    value: true
+load_step:
+    value: null
+log_gradients:
+    value: false
+logging:
+    value:
+        local_writer:
+            _target: nerfstudio.utils.writer.LocalWriter
+            enable: true
+            max_log_size: 10
+            stats_to_track:
+                - ITER_TRAIN_TIME
+                - TRAIN_RAYS_PER_SEC
+                - CURR_TEST_PSNR
+                - VIS_RAYS_PER_SEC
+                - TEST_RAYS_PER_SEC
+                - ETA
+        max_buffer_size: 20
+        profiler: basic
+        relative_log_dir: .
+        steps_per_log: 10
+machine:
+    value:
+        device_type: cuda
+        dist_url: auto
+        machine_rank: 0
+        num_devices: 1
+        num_machines: 1
+        seed: 42
+max_num_iterations:
+    value: 40000
+method_name:
+    value: splatfacto
+mixed_precision:
+    value: false
+optimizers:
+    value:
+        bilateral_grid:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.002
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 0.0001
+                lr_pre_warmup: 0
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 1000
+        camera_opt:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.0001
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 5e-07
+                lr_pre_warmup: 0
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 1000
+        features_dc:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.0025
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        features_rest:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.000125
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        means:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.00016
+                max_norm: null
+                weight_decay: 0
+            scheduler:
+                _target: nerfstudio.engine.schedulers.ExponentialDecayScheduler
+                lr_final: 1.6e-06
+                lr_pre_warmup: 1e-08
+                max_steps: 30000
+                ramp: cosine
+                warmup_steps: 0
+        opacities:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.05
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        quats:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.001
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+        scales:
+            optimizer:
+                _target: torch.optim.adam.Adam
+                eps: 1e-15
+                lr: 0.005
+                max_norm: null
+                weight_decay: 0
+            scheduler: null
+output_dir:
+    value: outputs
+pipeline:
+    value:
+        _target: nerfstudio.pipelines.base_pipeline.VanillaPipeline
+        datamanager:
+            _target: nerfstudio.data.datamanagers.full_images_datamanager.FullImageDatamanager
+            cache_compressed_images: false
+            cache_images: cpu
+            cache_images_type: uint8
+            camera_res_scale_factor: 1
+            data: data/Replica/office0
+            dataloader_num_workers: 4
+            dataparser:
+                _target: nerfstudio.data.dataparsers.replica_dataparser.Replica
+                auto_scale_poses: true
+                center_method: poses
+                data: data/Replica/office0
+                depth_unit_scale_factor: null
+                frame_stride: 1
+                load_3D_points: true
+                max_3d_points: 100000
+                point_cloud_color: true
+                scale_factor: 1
+                scene_scale: 1
+                train_split_fraction: 0.9
+            eval_num_images_to_sample_from: -1
+            eval_num_times_to_repeat_images: -1
+            fps_reset_every: 100
+            images_on_gpu: false
+            masks_on_gpu: false
+            max_thread_workers: null
+            prefetch_factor: 4
+            train_cameras_sampling_seed: 42
+            train_cameras_sampling_strategy: random
+        model:
+            _target: nerfstudio.models.splatfacto.SplatfactoModel
+            background_color: random
+            camera_optimizer:
+                _target: nerfstudio.cameras.camera_optimizers.CameraOptimizer
+                mode: "off"
+                optimizer: null
+                rot_l2_penalty: 0.001
+                scheduler: null
+                trans_l2_penalty: 0.01
+            collider_params:
+                far_plane: 6
+                near_plane: 2
+            color_corrected_metrics: false
+            cull_alpha_thresh: 0.005
+            cull_scale_thresh: 0.5
+            cull_screen_size: 0.15
+            densify_grad_thresh: 0.0008
+            densify_size_thresh: 0.01
+            enable_collider: true
+            eval_num_rays_per_chunk: 4096
+            grid_shape:
+                - 16
+                - 16
+                - 8
+            loss_coefficients:
+                rgb_loss_coarse: 1
+                rgb_loss_fine: 1
+            max_gauss_ratio: 10
+            max_gs_num: 1000000
+            mcmc_opacity_reg: 0.01
+            mcmc_scale_reg: 0.01
+            n_split_samples: 2
+            noise_lr: 500000
+            num_downscales: 2
+            num_random: 50000
+            output_depth_during_training: false
+            prompt: null
+            random_init: false
+            random_scale: 10
+            rasterize_mode: classic
+            refine_every: 100
+            reset_alpha_every: 30
+            resolution_schedule: 3000
+            sh_degree: 3
+            sh_degree_interval: 1000
+            split_screen_size: 0.05
+            ssim_lambda: 0.2
+            stop_screen_size_at: 4000
+            stop_split_at: 15000
+            strategy: default
+            use_absgrad: true
+            use_bilateral_grid: false
+            use_scale_regularization: true
+            warmup_length: 500
+project_name:
+    value: nerfstudio-project
+prompt:
+    value: null
+relative_model_dir:
+    value: nerfstudio_models
+save_only_latest_checkpoint:
+    value: true
+start_paused:
+    value: false
+steps_per_eval_all_images:
+    value: 1000
+steps_per_eval_batch:
+    value: 0
+steps_per_eval_image:
+    value: 100
+steps_per_save:
+    value: 2000
+timestamp:
+    value: 2026-04-02_055552
+use_grad_scaler:
+    value: false
+viewer:
+    value:
+        camera_frustum_scale: 0.1
+        default_composite_depth: true
+        image_format: jpeg
+        jpeg_quality: 75
+        make_share_url: false
+        max_num_display_images: 512
+        num_rays_per_chunk: 32768
+        quit_on_train_completion: false
+        relative_log_filename: viewer_log_filename.txt
+        websocket_host: 0.0.0.0
+        websocket_port: null
+        websocket_port_default: 7007
+vis:
+    value: wandb

splatfacto/2026-04-02_055552/wandb/run-20260402_055558-fyt52xdq/files/requirements.txt

@@ -0,0 +1,256 @@
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