Delete 20251103_03-44-07

20251103_03-44-07/backup/Dataset_orig/ok (1).mp4

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20251103_03-44-07/backup/Dataset_orig/ok (1).txt

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-The camera pulls back.
-She wears a white costume made of bands, garter straps and stockings.
-Her costume is bottomless and she has no panties so her vagina is uncovered.

20251103_03-44-07/backup/Dataset_orig/ok (10).mp4

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20251103_03-44-07/backup/Dataset_orig/ok (10).txt

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-The camera pulls back.
-She wears a policewoman costume with a miniskirt, garter straps and stockings.
-Her costume is bottomless and she has no panties so her vagina is uncovered.

20251103_03-44-07/backup/Dataset_orig/ok (11).mp4

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20251103_03-44-07/backup/Dataset_orig/ok (11).txt

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-The camera pulls back.
-She is wearing a bodysuit with garter straps and stockings.
-Her bodysuit is bottomless and she has no panties so her vagina is uncovered.

20251103_03-44-07/backup/Dataset_orig/ok (12).mp4

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20251103_03-44-07/backup/Dataset_orig/ok (12).txt

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-The camera pulls back.
-She is wearing a white bodysuit with garter straps and stockings.
-Her bodysuit is bottomless and she has no panties so her vagina is uncovered.

20251103_03-44-07/backup/Dataset_orig/ok (13).mp4

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20251103_03-44-07/backup/dataset_info.txt

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-model_type: wan
-dataset_name: Dataset
-dataset_path: /root/data/wan/Dataset
-backup_time: 2025-11-03 04:55:15

20251103_03-44-07/epoch25/adapter_config.json

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-{
-  "alpha_pattern": {},
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-  "base_model_name_or_path": null,
-  "bias": "none",
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-  "fan_in_fan_out": false,
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-  "init_lora_weights": true,
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-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 16,
-  "lora_bias": false,
-  "lora_dropout": 0.0,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 16,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
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-    "k",
-    "o",
-    "q",
-    "v",
-    "ffn.0",
-    "k_img",
-    "ffn.2"
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-  "use_dora": false,
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-}

20251103_03-44-07/epoch25/adapter_model.safetensors

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20251103_03-44-07/epoch25/wan.toml

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-output_dir = "/root/diffusion-pipe/wan-lora"
-dataset = "/root/config/dataset_wan.toml"
-epochs = 40
-micro_batch_size_per_gpu = 2
-pipeline_stages = 1
-gradient_accumulation_steps = 4
-gradient_clipping = 1.0
-warmup_steps = 50
-eval_every_n_epochs = 1
-eval_before_first_step = true
-eval_micro_batch_size_per_gpu = 1
-eval_gradient_accumulation_steps = 1
-save_every_n_epochs = 5
-activation_checkpointing = true
-partition_method = "parameters"
-save_dtype = "bfloat16"
-caching_batch_size = 2
-steps_per_print = 1
-video_clip_mode = "single_middle"
-checkpoint_every_n_epochs = 5
-
-[model]
-type = "wan"
-ckpt_path = "/root/diffusion-pipe/ckpts/Wan2.1-I2V-14B-480P"
-dtype = "bfloat16"
-timestep_sample_method = "logit_normal"
-
-[adapter]
-type = "lora"
-rank = 16
-dtype = "bfloat16"
-
-[optimizer]
-type = "adamw_optimi"
-lr = 0.0001
-betas = [ 0.9, 0.99,]
-weight_decay = 0.01
-eps = 1e-8

20251103_03-44-07/epoch30/adapter_config.json

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-{
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-  "base_model_name_or_path": null,
-  "bias": "none",
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-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 16,
-  "lora_bias": false,
-  "lora_dropout": 0.0,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 16,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
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-    "k",
-    "o",
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-    "v",
-    "ffn.0",
-    "k_img",
-    "ffn.2"
-  ],
-  "task_type": null,
-  "use_dora": false,
-  "use_rslora": false
-}

20251103_03-44-07/epoch30/adapter_model.safetensors

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20251103_03-44-07/epoch30/wan.toml

@@ -1,38 +0,0 @@
-output_dir = "/root/diffusion-pipe/wan-lora"
-dataset = "/root/config/dataset_wan.toml"
-epochs = 40
-micro_batch_size_per_gpu = 2
-pipeline_stages = 1
-gradient_accumulation_steps = 4
-gradient_clipping = 1.0
-warmup_steps = 50
-eval_every_n_epochs = 1
-eval_before_first_step = true
-eval_micro_batch_size_per_gpu = 1
-eval_gradient_accumulation_steps = 1
-save_every_n_epochs = 5
-activation_checkpointing = true
-partition_method = "parameters"
-save_dtype = "bfloat16"
-caching_batch_size = 2
-steps_per_print = 1
-video_clip_mode = "single_middle"
-checkpoint_every_n_epochs = 5
-
-[model]
-type = "wan"
-ckpt_path = "/root/diffusion-pipe/ckpts/Wan2.1-I2V-14B-480P"
-dtype = "bfloat16"
-timestep_sample_method = "logit_normal"
-
-[adapter]
-type = "lora"
-rank = 16
-dtype = "bfloat16"
-
-[optimizer]
-type = "adamw_optimi"
-lr = 0.0001
-betas = [ 0.9, 0.99,]
-weight_decay = 0.01
-eps = 1e-8