SnoopyFan commited on
Commit
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1 Parent(s): 65ceee8

add paired no-geometry ablation checkpoints

Browse files
README.md CHANGED
@@ -23,6 +23,10 @@ It does not contain the training datasets.
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  | `ordered_redmd_step3000` | final ordered action + geometry Re-DMD student | 3000 | `generator.safetensors` | `7ed0112773727613bf21dc477e57c831f427e5774bd6e93f37844f6d954b0f61` |
24
  | `ordered_redmd_step3000` | full final training container (generator + critic) | 3000 | `model.pt` | `95bff3c1287cc670cbdc56c3ebd1aee6f4bff67f02ac279ee0611e65bf0e7312` |
25
  | `ode_init_step3000` | exact causal ODE initialization used by the final run | 3000 | `model.pt` | `a5fbd37d21194f972b487b1191dcad59fa68bb43be889847efa7c940f1160a5e` |
 
 
 
 
26
 
27
  The final student uses four Stage-1 updates with the frozen timestep schedule
28
  `[1000, 967, 908, 764, 0]`. It is based on the SANA-WM streaming architecture
@@ -68,12 +72,21 @@ The step-1000 and step-2000 files are full generator-plus-critic snapshots from
68
  the same continuous ordered action + geometry Re-DMD lineage as step-3000;
69
  they are neither ODE initialization nor action-only checkpoints.
70
 
 
 
 
 
 
 
 
71
  ## Provenance and verification
72
 
73
  - final code commit: `72bf6df662df8ff19e8aecc4488b81941b666b16`
74
  - ODE code commit: `eaaa19d561f6bf368dae7669a296c40ba1336ec1`
75
  - SANA-WM model-config SHA256: `fce36e587f200d67c3acfe7b7c336e36b456e271fa01248dce805bd9c49fe25e`
76
  - parent specification SHA256: `0ff66273574d4cfeca98fba2e0b0f3dfa8bc5af96faaa181a5c56e4241b5834d`
 
 
77
 
78
  `metadata/manifest.json` describes the selection policy. Every uploaded file is
79
  bound by `metadata/checksums.sha256`; the generator export has an additional
 
23
  | `ordered_redmd_step3000` | final ordered action + geometry Re-DMD student | 3000 | `generator.safetensors` | `7ed0112773727613bf21dc477e57c831f427e5774bd6e93f37844f6d954b0f61` |
24
  | `ordered_redmd_step3000` | full final training container (generator + critic) | 3000 | `model.pt` | `95bff3c1287cc670cbdc56c3ebd1aee6f4bff67f02ac279ee0611e65bf0e7312` |
25
  | `ode_init_step3000` | exact causal ODE initialization used by the final run | 3000 | `model.pt` | `a5fbd37d21194f972b487b1191dcad59fa68bb43be889847efa7c940f1160a5e` |
26
+ | `ordered_redmd_no_geometry_step1000` | intermediate action-only Ordered Re-DMD ablation | 1000 | `model.pt` | `8109a5712a5f0ec0b9527a57c5ed72c84e4702de9de9ddc723e20089dba78b4f` |
27
+ | `ordered_redmd_no_geometry_step2000` | intermediate action-only Ordered Re-DMD ablation | 2000 | `model.pt` | `28336d5771a70dfb541e2a24c552b4ded24e664720ba11ffdb6fe0f493566da9` |
28
+ | `ordered_redmd_no_geometry_step3000` | final action-only Ordered Re-DMD ablation | 3000 | `generator.safetensors` | `ebd22ca83eaf9ec789869f603e145991f52ef26331e8a658c4c6aec35e637e35` |
29
+ | `ordered_redmd_no_geometry_step3000` | full ablation training container (generator + critic) | 3000 | `model.pt` | `b9f220138d4b43b41c31cf3820d4d48b69b988c99c54c1f5b744b1f256522118` |
30
 
31
  The final student uses four Stage-1 updates with the frozen timestep schedule
32
  `[1000, 967, 908, 764, 0]`. It is based on the SANA-WM streaming architecture
 
72
  the same continuous ordered action + geometry Re-DMD lineage as step-3000;
73
  they are neither ODE initialization nor action-only checkpoints.
74
 
75
+ The `ordered_redmd_no_geometry_step*` lineage is the paired **w/o Geometry**
76
+ ablation: action reward and all typed multi-anchor/DMD training budgets are
77
+ retained, while geometry is disabled with zero weight. It resumes the same
78
+ sealed step-10 action-smoke transaction as the full method. The final receipt
79
+ records non-uniform action-derived local-group weights and verifies that every
80
+ geometry diagnostic remained zero.
81
+
82
  ## Provenance and verification
83
 
84
  - final code commit: `72bf6df662df8ff19e8aecc4488b81941b666b16`
85
  - ODE code commit: `eaaa19d561f6bf368dae7669a296c40ba1336ec1`
86
  - SANA-WM model-config SHA256: `fce36e587f200d67c3acfe7b7c336e36b456e271fa01248dce805bd9c49fe25e`
87
  - parent specification SHA256: `0ff66273574d4cfeca98fba2e0b0f3dfa8bc5af96faaa181a5c56e4241b5834d`
88
+ - no-geometry ablation code commit: `1aa3d986769fc882a9063d31a0f03081ac4a74f5`
89
+ - no-geometry final receipt SHA256: `3ac69a48d04a710eaa2a9a021cfc204754fd4bc721cdacb8fa091abbda7410c7`
90
 
91
  `metadata/manifest.json` describes the selection policy. Every uploaded file is
92
  bound by `metadata/checksums.sha256`; the generator export has an additional
metadata/checksums.sha256 CHANGED
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@@ -23,3 +23,23 @@ ece03fd06519ed2e9ffdf5b3b8a5d81ded547da80f43c476d8a59ebf993c782f ordered_redmd_
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  "final step-3000 generator-only inference export",
10
  "final step-3000 full generator-plus-critic training container",
11
  "exact step-3000 causal ODE initialization used by the final run",
 
12
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13
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47
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49
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9
  "final step-3000 generator-only inference export",
10
  "final step-3000 full generator-plus-critic training container",
11
  "exact step-3000 causal ODE initialization used by the final run",
12
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13
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14
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1
+ independent_first_frame: false
2
+ warp_denoising_step: false
3
+ weight_decay: 0.01
4
+ same_step_across_blocks: true
5
+ discriminator_lr_multiplier: 1.0
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+ last_step_only: false
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+ i2v: false
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+ num_training_frames: 21
9
+ gc_interval: 100
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+ context_noise: 0
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+ causal: true
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+ ckpt_step: 0
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+ prompt_name: MovieGenVideoBench
14
+ prompt_path: prompts/MovieGenVideoBench.txt
15
+ eval_first_n: 64
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+ num_samples: 1
17
+ height: 480
18
+ width: 832
19
+ num_frames: 81
20
+ max_iters: 10000
21
+ trainer: wm_ordered_self_forcing
22
+ work_dir: output/sana_wm_ordered_no_geometry_final_f19
23
+ model_config: configs/sana_wm/sana_wm_streaming_1600m_720p.yaml
24
+ model_path: ${oc.env:ORDERED_ACTION_SMOKE_MODEL_PT,__REQUIRED_ACTION_SMOKE_MODEL_PT__}
25
+ fake_model_config: configs/sana_wm/sana_wm_1600m_720p.yaml
26
+ fake_model_path: ${oc.env:ORDERED_ACTION_SMOKE_MODEL_PT,__REQUIRED_ACTION_SMOKE_MODEL_PT__}
27
+ real_model_config: configs/sana_wm/sana_wm_1600m_720p.yaml
28
+ real_model_path: ${oc.env:ORDERED_BIDIRECTIONAL_MODEL_PATH,REWARD_DMD_ROOT/models/SANA-WM_bidirectional/90e0ff3b8f1f9b54a92b4b707edeaa27073aec84/dit/sana_wm_1600m_720p.safetensors}
29
+ bidirectional_model_id: Efficient-Large-Model/SANA-WM_bidirectional
30
+ bidirectional_model_revision: 90e0ff3b8f1f9b54a92b4b707edeaa27073aec84
31
+ bidirectional_model_checkpoint_sha256: 93a20c3fc184c44299234b0ed78b5895030533ff453fca2b66f9ed391e0ac258
32
+ data:
33
+ type: ThreeSourceF19ManifestDataset
34
+ manifest_path: ${oc.env:ORDERED_F19_TRAIN_MANIFEST,REWARD_DMD_ROOT/data/manifests/three_source_windows_k_complete_v1/manifest.jsonl}
35
+ expected_manifest_sha256: ${oc.env:ORDERED_F19_MANIFEST_SHA256,9191a97096b17c7c0e90083f01cdae5a88333107a377cf5dff79d3fb1dc95924}
36
+ video_root: ${oc.env:ORDERED_F19_VIDEO_ROOT,/mnt/data/shared/datasets/world_model/Video}
37
+ annotation_root: ${oc.env:ORDERED_F19_ANNOTATION_ROOT,/mnt/data/shared/datasets/world_model/Annotation}
38
+ initial_latent_cache_path: ${oc.env:ORDERED_F19_INITIAL_LATENT_CACHE,REWARD_DMD_ROOT/output/initial_latents_f19}
39
+ expected_initial_latent_cache_identity_sha256: ${oc.env:ORDERED_F19_INITIAL_LATENT_CACHE_IDENTITY_SHA256,8eb4d12f7e549f18ce07ec3d8b10a8bb9f6860c40d7bbc51ea5232e83ef19328}
40
+ calibration_exclusion_path: ${oc.env:ORDERED_F19_CALIBRATION_EXCLUSION,REWARD_DMD_ROOT/data/calibration/three_source_k_complete_leaf_quota_v1/exclusion.json}
41
+ expected_calibration_exclusion_sha256: ${oc.env:ORDERED_F19_CALIBRATION_EXCLUSION_SHA256,3aeed17358ef1795d75b1bbd431b326090852e46986c90fe3af95027c3e1948c}
42
+ expected_calibration_selection_sha256: ${oc.env:ORDERED_F19_CALIBRATION_SELECTION_SHA256,0abb0c8bfbccb787974f7113d13d0ded853fdd921f878a8ebf9a0a6f38059306}
43
+ conditioning_target_rules_path: ${oc.env:ORDERED_TARGET_RULES_PATH,__REQUIRED_FROZEN_CONDITIONING_TARGET_RULES_JSON__}
44
+ conditioning_target_rules_sha256: ${oc.env:ORDERED_TARGET_RULES_SHA256,__REQUIRED_FROZEN_CONDITIONING_TARGET_RULES_SHA256__}
45
+ conditioning_target_sidecar_path: ${oc.env:ORDERED_TARGET_SIDECAR_PATH,REWARD_DMD_ROOT/data/conditioning_targets/three_source_k_complete_v5/conditioning_targets.jsonl}
46
+ conditioning_target_sidecar_sha256: ${oc.env:ORDERED_TARGET_SIDECAR_SHA256,585b5f0f11490a66680c0c567f1febce5813f2dba6c87072770ce01f7777e15c}
47
+ conditioning_target_sidecar_index_sha256: ${oc.env:ORDERED_TARGET_SIDECAR_INDEX_SHA256,bc72761b80a8bcce1a6231ea1f10b696d78ae5ffc752d54030665dc0870c5d56}
48
+ split: train
49
+ sources:
50
+ - scene_balanced
51
+ - gameverse
52
+ - dl3dv
53
+ calibration_window_mode: exclude
54
+ require_calibration_exclusion: true
55
+ require_initial_latent: true
56
+ require_target_actions: true
57
+ require_temporal_target_actions: false
58
+ return_target_action_objects: false
59
+ caption_proportion:
60
+ scene_balanced:
61
+ static_caption: 100
62
+ gameverse:
63
+ static_caption: 100
64
+ dl3dv:
65
+ static_caption: 100
66
+ type_caption: static_caption
67
+ image_size: 720
68
+ aspect_ratio_type: ASPECT_RATIO_VIDEO_720_MS_DIV32
69
+ transform: default_train_video
70
+ load_text_feat: false
71
+ load_vae_feat: true
72
+ num_frames: 145
73
+ sort_dataset: false
74
+ shuffle_dataset: false
75
+ return_chunk_plucker: true
76
+ vae_ratio:
77
+ - 8
78
+ - 32
79
+ cam_sample_strategy: last
80
+ num_latent_frames: 19
81
+ chunk_layout:
82
+ - 0
83
+ - 4
84
+ - 7
85
+ - 10
86
+ - 13
87
+ - 16
88
+ - 19
89
+ num_cached_blocks: 2
90
+ sink_token: true
91
+ denoising_step_list:
92
+ - 1000
93
+ - 967
94
+ - 908
95
+ - 764
96
+ - 0
97
+ generator_update_interval: 5
98
+ timestep_shift: 10.0
99
+ min_score_timestep: 20
100
+ max_score_timestep: 980
101
+ real_guidance_scale: 3.0
102
+ negative_prompt: A chaotic sequence with misshapen, deformed limbs in heavy motion
103
+ blur, sudden disappearance, jump cuts, jerky movements, rapid shot changes, frames
104
+ out of sync, inconsistent character shapes, temporal artifacts, jitter, and ghosting
105
+ effects, creating a disorienting visual experience.
106
+ ordered_reward:
107
+ enabled: true
108
+ ablation_variant: no_geometry
109
+ run_stage: geometry_final
110
+ candidates_per_anchor: 2
111
+ action_slots: 2
112
+ geometry_slots: 1
113
+ geometry_enabled: false
114
+ geometry_weight: 0.0
115
+ geometry_suffix_chunks: 0
116
+ replay_atol: 0.0005
117
+ replay_rtol: 0.005
118
+ quality:
119
+ backend: hpsv3
120
+ role: group_feasibility_gate
121
+ caption_field: static_caption
122
+ sparse_target_frame_indices:
123
+ - 1
124
+ - 8
125
+ - 16
126
+ - 24
127
+ score_quantile: 0.25
128
+ group_pass_rule: all_candidates_pass
129
+ calibration_quantile: 0.1
130
+ action:
131
+ label_space: worldcompass_81
132
+ target_source: frozen_gt_conditioning_sidecar_v5
133
+ candidate_source: frozen_da3
134
+ magnitude: signed_action_axis_net_displacement
135
+ saturation_at_annotated_target: true
136
+ noop_uses_reverse_magnitude: true
137
+ minimum_depth_pixels: 1024
138
+ geometry:
139
+ backend: frozen_da3
140
+ frame_pairs:
141
+ - - prefix_tail
142
+ - target_head
143
+ - - target_head
144
+ - target_tail
145
+ bidirectional: true
146
+ confidence_weighted: true
147
+ normalized_depth_error: true
148
+ invalid_evidence_falls_back_to_action: true
149
+ confidence_threshold: 0.3
150
+ minimum_valid_pixels: 1024
151
+ minimum_coverage: 0.15
152
+ robust_quantile: 0.9
153
+ calibration:
154
+ split: frozen_ode_student_rollout
155
+ bucket_by: exit_step
156
+ online_updates: false
157
+ path: ${oc.env:ORDERED_CALIBRATION_JSON,__REQUIRED_FROZEN_ORDERED_CALIBRATION_JSON__}
158
+ expected_sha256: ${oc.env:ORDERED_CALIBRATION_SHA256,__REQUIRED_FROZEN_ORDERED_CALIBRATION_SHA256__}
159
+ calibration_id: ${oc.env:ORDERED_CALIBRATION_ID,__REQUIRED_FROZEN_ORDERED_CALIBRATION_ID__}
160
+ services:
161
+ causal_decode:
162
+ base_url: ${oc.env:CAUSAL_DECODE_URL,__REQUIRED_CAUSAL_DECODE_URL__}
163
+ protocol_version: reward_dmd_sanawm/causal_decode_pickle_http/v1
164
+ timeout_seconds: 300
165
+ identity:
166
+ backend: sana_wm_causal_ltx2_reward_decode
167
+ model_id: hf://Efficient-Large-Model/SANA-WM_streaming/ltx2_causal_vae
168
+ revision: ${oc.env:CAUSAL_VAE_REVISION,__REQUIRED_CAUSAL_VAE_REVISION__}
169
+ checkpoint_sha256: ${oc.env:CAUSAL_VAE_CHECKPOINT_SHA256,__REQUIRED_CAUSAL_VAE_CHECKPOINT_SHA256__}
170
+ config_sha256: ${oc.env:CAUSAL_VAE_CONFIG_SHA256,__REQUIRED_CAUSAL_VAE_CONFIG_SHA256__}
171
+ decoder_code_sha256: ${oc.env:CAUSAL_DECODER_CODE_SHA256,__REQUIRED_CAUSAL_DECODER_CODE_SHA256__}
172
+ vae_type: LTX2VAE_diffusers_causal
173
+ temporal_stride: 8
174
+ latent_layout: BCTHW
175
+ output_layout: FHWC_UINT8
176
+ inference_serialized: true
177
+ max_concurrent_inference: 1
178
+ hpsv3:
179
+ base_url: ${oc.env:HPSV3_REWARD_URL,__REQUIRED_HPSV3_REWARD_URL__}
180
+ protocol_version: reward_dmd_sanawm/hps_json_http/v1
181
+ timeout_seconds: 120
182
+ identity:
183
+ backend: hpsv3
184
+ model_id: MizzenAI/HPSv3
185
+ revision: 4f81e3e09edd82fe3c5f636444c721b592a735ca
186
+ model_sha256: a13d7ff5a07b7ffa0f7824e60d62e6ae144541ceefd5224b4c08fda7ab39f353
187
+ frame_encoding: raw_rgb_uint8_base64
188
+ da3:
189
+ base_url: ${oc.env:DA3_REWARD_URL,__REQUIRED_DA3_REWARD_URL__}
190
+ protocol_version: reward_dmd_sanawm/da3_pickle_http/v1
191
+ timeout_seconds: 300
192
+ identity:
193
+ backend: depth_anything_3
194
+ model_id: depth-anything/DA3-GIANT-1.1
195
+ revision: 72ee9f89ce4e50d704e9d55ee9c646ec8dc25a19
196
+ model_sha256: 1e47a08338ca73a6d6a21d37fd060b26b993b672bc6ddf6295fe474df2592001
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+ process_res: 504
198
+ pose_convention: w2c
199
+ inference_serialized: true
200
+ max_concurrent_inference: 1
201
+ optimizer:
202
+ lr: 1.0e-05
203
+ betas:
204
+ - 0.0
205
+ - 0.999
206
+ weight_decay: 0.0
207
+ critic_optimizer:
208
+ lr: 2.0e-06
209
+ betas:
210
+ - 0.0
211
+ - 0.999
212
+ weight_decay: 0.0
213
+ train:
214
+ seed: 0
215
+ batch_size: 1
216
+ num_workers: 0
217
+ max_steps: 3000
218
+ log_interval: 10
219
+ save_model_steps: ${oc.decode:${oc.env:ORDERED_GEOMETRY_SAVE_STEPS,500}}
220
+ early_stop_hours: 0
221
+ stop_request_path: ${oc.env:ORDERED_GEOMETRY_STOP_REQUEST_PATH,/__ordered_rf_no_stop_request__}
222
+ allow_world_size_migration: ${oc.decode:${oc.env:ORDERED_ALLOW_WORLD_SIZE_MIGRATION,false}}
223
+ resume_seed_sha256: ${oc.env:ORDERED_RESUME_SEED_SHA256,__NOT_REQUIRED_SAME_TOPOLOGY__}
224
+ gradient_accumulation_steps: 1
225
+ generator_gradient_clip: 10.0
226
+ critic_gradient_clip: 10.0
227
+ grad_checkpointing: true
228
+ use_fsdp: true
229
+ fsdp_version: 2
230
+ cp_size: 2
231
+ extra:
232
+ cp:
233
+ scan_backend: triton
234
+ triton_block_fusion: true
235
+ fsdp2:
236
+ reshard_after_forward: true
237
+ limit_all_gathers: false
238
+ resume_from: ${oc.env:ORDERED_ACTION_SMOKE_CHECKPOINT_DIR,__REQUIRED_ACTION_SMOKE_ACCELERATE_CHECKPOINT_DIR__}
239
+ report_to: none
240
+ tracker_project_name: sana-wm-ordered-redmd
241
+ config_path: REWARD_DMD_ROOT/Sana_RF_no_geometry_20260813/configs/sana_wm/distill/ordered_no_geometry_final_f19.yaml
242
+ no_save: false
243
+ no_visualize: false
244
+ config_name: ordered_no_geometry_final_f19
245
+ logdir: REWARD_DMD_ROOT/output/ordered_ablation_wogeo_f19_local8_1aa3d98_20260813b/no_geometry_final
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+ wandb_save_dir: ./wandb
247
+ disable_wandb: true
248
+ auto_resume: false
249
+ mode: self_forcing
250
+ wandb_name: ordered_no_geometry_final_f19
ordered_redmd_no_geometry_step3000/generator.safetensors.json ADDED
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+ "status": "COMPLETE"
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+ }
ordered_redmd_no_geometry_step3000/geometry_final_receipt.json ADDED
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