arhiteector commited on
Commit
ac271e5
·
verified ·
1 Parent(s): 476c1c3

upload mastur_copy checkpoints (ignore sqlite wal/shm)

Browse files
mastur_copy/.job_config.json ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "job": "extension",
3
+ "config": {
4
+ "name": "mastur_copy",
5
+ "process": [
6
+ {
7
+ "type": "diffusion_trainer",
8
+ "training_folder": "/workspace/ai-toolkit/output",
9
+ "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
10
+ "device": "cuda",
11
+ "trigger_word": null,
12
+ "performance_log_every": 10,
13
+ "network": {
14
+ "type": "lora",
15
+ "linear": 64,
16
+ "linear_alpha": 64,
17
+ "conv": 16,
18
+ "conv_alpha": 16,
19
+ "lokr_full_rank": true,
20
+ "lokr_factor": -1,
21
+ "network_kwargs": {
22
+ "ignore_if_contains": []
23
+ }
24
+ },
25
+ "save": {
26
+ "dtype": "bf16",
27
+ "save_every": 1000,
28
+ "max_step_saves_to_keep": 4,
29
+ "save_format": "diffusers",
30
+ "push_to_hub": false
31
+ },
32
+ "datasets": [
33
+ {
34
+ "folder_path": "/workspace/ai-toolkit/datasets/qwewq",
35
+ "mask_path": null,
36
+ "mask_min_value": 0.1,
37
+ "default_caption": "woman masturbating pussy",
38
+ "caption_ext": "txt",
39
+ "caption_dropout_rate": 0.05,
40
+ "cache_latents_to_disk": false,
41
+ "is_reg": false,
42
+ "network_weight": 1,
43
+ "resolution": [
44
+ 512
45
+ ],
46
+ "controls": [],
47
+ "shrink_video_to_frames": true,
48
+ "num_frames": 49,
49
+ "flip_x": false,
50
+ "flip_y": false,
51
+ "num_repeats": 1
52
+ }
53
+ ],
54
+ "train": {
55
+ "batch_size": 1,
56
+ "bypass_guidance_embedding": false,
57
+ "steps": 3000,
58
+ "gradient_accumulation": 1,
59
+ "train_unet": true,
60
+ "train_text_encoder": false,
61
+ "gradient_checkpointing": true,
62
+ "noise_scheduler": "flowmatch",
63
+ "optimizer": "adamw8bit",
64
+ "timestep_type": "linear",
65
+ "content_or_style": "balanced",
66
+ "optimizer_params": {
67
+ "weight_decay": 0.0001
68
+ },
69
+ "unload_text_encoder": false,
70
+ "cache_text_embeddings": false,
71
+ "lr": 0.0001,
72
+ "ema_config": {
73
+ "use_ema": false,
74
+ "ema_decay": 0.99
75
+ },
76
+ "skip_first_sample": false,
77
+ "force_first_sample": false,
78
+ "disable_sampling": false,
79
+ "dtype": "bf16",
80
+ "diff_output_preservation": false,
81
+ "diff_output_preservation_multiplier": 1,
82
+ "diff_output_preservation_class": "person",
83
+ "switch_boundary_every": 1,
84
+ "loss_type": "mse",
85
+ "do_differential_guidance": true,
86
+ "differential_guidance_scale": 3
87
+ },
88
+ "logging": {
89
+ "log_every": 1,
90
+ "use_ui_logger": true
91
+ },
92
+ "model": {
93
+ "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
94
+ "quantize": true,
95
+ "qtype": "qfloat8",
96
+ "quantize_te": true,
97
+ "qtype_te": "qfloat8",
98
+ "arch": "wan22_14b:t2v",
99
+ "low_vram": false,
100
+ "model_kwargs": {
101
+ "train_high_noise": true,
102
+ "train_low_noise": true
103
+ },
104
+ "layer_offloading": false,
105
+ "layer_offloading_text_encoder_percent": 1,
106
+ "layer_offloading_transformer_percent": 1
107
+ },
108
+ "sample": {
109
+ "sampler": "flowmatch",
110
+ "sample_every": 250,
111
+ "width": 1024,
112
+ "height": 1024,
113
+ "samples": [],
114
+ "neg": "",
115
+ "seed": 42,
116
+ "walk_seed": true,
117
+ "guidance_scale": 4,
118
+ "sample_steps": 25,
119
+ "num_frames": 41,
120
+ "fps": 16
121
+ }
122
+ }
123
+ ]
124
+ },
125
+ "meta": {
126
+ "name": "[name]",
127
+ "version": "1.0"
128
+ }
129
+ }
mastur_copy/config.yaml ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ job: extension
2
+ config:
3
+ name: mastur_copy
4
+ process:
5
+ - type: diffusion_trainer
6
+ training_folder: /workspace/ai-toolkit/output
7
+ sqlite_db_path: /workspace/ai-toolkit/aitk_db.db
8
+ device: cuda
9
+ trigger_word: null
10
+ performance_log_every: 10
11
+ network:
12
+ type: lora
13
+ linear: 64
14
+ linear_alpha: 64
15
+ conv: 16
16
+ conv_alpha: 16
17
+ lokr_full_rank: true
18
+ lokr_factor: -1
19
+ network_kwargs:
20
+ ignore_if_contains: []
21
+ save:
22
+ dtype: bf16
23
+ save_every: 1000
24
+ max_step_saves_to_keep: 4
25
+ save_format: diffusers
26
+ push_to_hub: false
27
+ datasets:
28
+ - folder_path: /workspace/ai-toolkit/datasets/qwewq
29
+ mask_path: null
30
+ mask_min_value: 0.1
31
+ default_caption: woman masturbating pussy
32
+ caption_ext: txt
33
+ caption_dropout_rate: 0.05
34
+ cache_latents_to_disk: false
35
+ is_reg: false
36
+ network_weight: 1
37
+ resolution:
38
+ - 512
39
+ controls: []
40
+ shrink_video_to_frames: true
41
+ num_frames: 49
42
+ flip_x: false
43
+ flip_y: false
44
+ num_repeats: 1
45
+ train:
46
+ batch_size: 1
47
+ bypass_guidance_embedding: false
48
+ steps: 3000
49
+ gradient_accumulation: 1
50
+ train_unet: true
51
+ train_text_encoder: false
52
+ gradient_checkpointing: true
53
+ noise_scheduler: flowmatch
54
+ optimizer: adamw8bit
55
+ timestep_type: linear
56
+ content_or_style: balanced
57
+ optimizer_params:
58
+ weight_decay: 0.0001
59
+ unload_text_encoder: false
60
+ cache_text_embeddings: false
61
+ lr: 0.0001
62
+ ema_config:
63
+ use_ema: false
64
+ ema_decay: 0.99
65
+ skip_first_sample: false
66
+ force_first_sample: false
67
+ disable_sampling: false
68
+ dtype: bf16
69
+ diff_output_preservation: false
70
+ diff_output_preservation_multiplier: 1
71
+ diff_output_preservation_class: person
72
+ switch_boundary_every: 1
73
+ loss_type: mse
74
+ do_differential_guidance: true
75
+ differential_guidance_scale: 3
76
+ logging:
77
+ log_every: 1
78
+ use_ui_logger: true
79
+ model:
80
+ name_or_path: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
81
+ quantize: true
82
+ qtype: qfloat8
83
+ quantize_te: true
84
+ qtype_te: qfloat8
85
+ arch: wan22_14b:t2v
86
+ low_vram: false
87
+ model_kwargs:
88
+ train_high_noise: true
89
+ train_low_noise: true
90
+ layer_offloading: false
91
+ layer_offloading_text_encoder_percent: 1
92
+ layer_offloading_transformer_percent: 1
93
+ sample:
94
+ sampler: flowmatch
95
+ sample_every: 250
96
+ width: 1024
97
+ height: 1024
98
+ samples: []
99
+ neg: ''
100
+ seed: 42
101
+ walk_seed: true
102
+ guidance_scale: 4
103
+ sample_steps: 25
104
+ num_frames: 41
105
+ fps: 16
106
+ meta:
107
+ name: mastur_copy
108
+ version: '1.0'
mastur_copy/log.txt ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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93
 
 
1
+ Running 1 job
2
+ {
3
+ "type": "diffusion_trainer",
4
+ "training_folder": "/workspace/ai-toolkit/output",
5
+ "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
6
+ "device": "cuda",
7
+ "trigger_word": null,
8
+ "performance_log_every": 10,
9
+ "network": {
10
+ "type": "lora",
11
+ "linear": 64,
12
+ "linear_alpha": 64,
13
+ "conv": 16,
14
+ "conv_alpha": 16,
15
+ "lokr_full_rank": true,
16
+ "lokr_factor": -1,
17
+ "network_kwargs": {
18
+ "ignore_if_contains": []
19
+ }
20
+ },
21
+ "save": {
22
+ "dtype": "bf16",
23
+ "save_every": 1000,
24
+ "max_step_saves_to_keep": 4,
25
+ "save_format": "diffusers",
26
+ "push_to_hub": false
27
+ },
28
+ "datasets": [
29
+ {
30
+ "folder_path": "/workspace/ai-toolkit/datasets/qwewq",
31
+ "mask_path": null,
32
+ "mask_min_value": 0.1,
33
+ "default_caption": "woman masturbating pussy",
34
+ "caption_ext": "txt",
35
+ "caption_dropout_rate": 0.05,
36
+ "cache_latents_to_disk": false,
37
+ "is_reg": false,
38
+ "network_weight": 1,
39
+ "resolution": [
40
+ 512
41
+ ],
42
+ "controls": [],
43
+ "shrink_video_to_frames": true,
44
+ "num_frames": 49,
45
+ "flip_x": false,
46
+ "flip_y": false,
47
+ "num_repeats": 1
48
+ }
49
+ ],
50
+ "train": {
51
+ "batch_size": 1,
52
+ "bypass_guidance_embedding": false,
53
+ "steps": 3000,
54
+ "gradient_accumulation": 1,
55
+ "train_unet": true,
56
+ "train_text_encoder": false,
57
+ "gradient_checkpointing": true,
58
+ "noise_scheduler": "flowmatch",
59
+ "optimizer": "adamw8bit",
60
+ "timestep_type": "linear",
61
+ "content_or_style": "balanced",
62
+ "optimizer_params": {
63
+ "weight_decay": 0.0001
64
+ },
65
+ "unload_text_encoder": false,
66
+ "cache_text_embeddings": false,
67
+ "lr": 0.0001,
68
+ "ema_config": {
69
+ "use_ema": false,
70
+ "ema_decay": 0.99
71
+ },
72
+ "skip_first_sample": false,
73
+ "force_first_sample": false,
74
+ "disable_sampling": false,
75
+ "dtype": "bf16",
76
+ "diff_output_preservation": false,
77
+ "diff_output_preservation_multiplier": 1,
78
+ "diff_output_preservation_class": "person",
79
+ "switch_boundary_every": 1,
80
+ "loss_type": "mse",
81
+ "do_differential_guidance": true,
82
+ "differential_guidance_scale": 3
83
+ },
84
+ "logging": {
85
+ "log_every": 1,
86
+ "use_ui_logger": true
87
+ },
88
+ "model": {
89
+ "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
90
+ "quantize": true,
91
+ "qtype": "qfloat8",
92
+ "quantize_te": true,
93
+ "qtype_te": "qfloat8",
94
+ "arch": "wan22_14b:t2v",
95
+ "low_vram": false,
96
+ "model_kwargs": {
97
+ "train_high_noise": true,
98
+ "train_low_noise": true
99
+ },
100
+ "layer_offloading": false,
101
+ "layer_offloading_text_encoder_percent": 1,
102
+ "layer_offloading_transformer_percent": 1
103
+ },
104
+ "sample": {
105
+ "sampler": "flowmatch",
106
+ "sample_every": 250,
107
+ "width": 1024,
108
+ "height": 1024,
109
+ "samples": [],
110
+ "neg": "",
111
+ "seed": 42,
112
+ "walk_seed": true,
113
+ "guidance_scale": 4,
114
+ "sample_steps": 25,
115
+ "num_frames": 41,
116
+ "fps": 16
117
+ }
118
+ }
119
+ Changing sample extention to animated webp
120
+ Using SQLite database at /workspace/ai-toolkit/aitk_db.db
121
+ Job ID: "83e8ed4c-6743-434a-9d8f-364c179ac62e"
122
+
123
+ #############################################
124
+ # Running job: mastur_copy
125
+ #############################################
126
+
127
+
128
+ Running 1 process
129
+ Loading Wan model
130
+ Loading transformer 1
131
+
132
+
133
+ Quantizing Transformer 1
134
+ - quantizing 40 transformer blocks
135
+
136
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  98%|#########7| 39/40 [00:09<00:00, 4.37it/s]
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+
217
+ - quantizing extras
218
+ Loading transformer 2
219
+
220
+
221
+ Quantizing Transformer 2
222
+ - quantizing 40 transformer blocks
223
+
224
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225
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226
  22%|##2 | 9/40 [00:00<00:00, 89.17it/s]
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234
+
235
+ - quantizing extras
236
+ Creating DualWanTransformer3DModel
237
+ Loading UMT5EncoderModel
238
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
239
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
240
+ Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
241
+ `torch_dtype` is deprecated! Use `dtype` instead!
242
+ `torch_dtype` is deprecated! Use `dtype` instead!
243
+
244
+
245
+ Quantizing UMT5EncoderModel
246
+ Loading VAE
247
+ Making pipe
248
+ Preparing Model
249
+ create LoRA network. base dim (rank): 64, alpha: 64
250
+ neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
251
+ apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
252
+ create LoRA for Text Encoder: 0 modules.
253
+ create LoRA for U-Net: 800 modules.
254
+ enable LoRA for U-Net
255
+ Dataset: /workspace/ai-toolkit/datasets/qwewq
256
+ - Preprocessing video dimensions
257
+
258
  0%| | 0/22 [00:00<?, ?it/s]
259
  0%| | 0/22 [00:00<?, ?it/s]
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+
261
+ - Found 22 videos
262
+ Bucket sizes for /workspace/ai-toolkit/datasets/qwewq:
263
+ 384x672: 11 files
264
+ 672x384: 7 files
265
+ 256x448: 1 files
266
+ 352x608: 2 files
267
+ 416x576: 1 files
268
+ 5 buckets made
269
+ Generating baseline samples before training
270
+
271
 
272
 
mastur_copy/logs/0_log.txt ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
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  90%|######### | 36/40 [00:00<00:00, 85.09it/s]
89
  90%|######### | 36/40 [00:00<00:00, 85.09it/s]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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91
  0%| | 0/22 [00:00<?, ?it/s]
 
 
 
 
 
 
 
 
 
 
 
92
 
93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Running 1 job
2
+ {
3
+ "type": "diffusion_trainer",
4
+ "training_folder": "/workspace/ai-toolkit/output",
5
+ "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
6
+ "device": "cuda",
7
+ "trigger_word": null,
8
+ "performance_log_every": 10,
9
+ "network": {
10
+ "type": "lora",
11
+ "linear": 64,
12
+ "linear_alpha": 64,
13
+ "conv": 16,
14
+ "conv_alpha": 16,
15
+ "lokr_full_rank": true,
16
+ "lokr_factor": -1,
17
+ "network_kwargs": {
18
+ "ignore_if_contains": []
19
+ }
20
+ },
21
+ "save": {
22
+ "dtype": "bf16",
23
+ "save_every": 1000,
24
+ "max_step_saves_to_keep": 4,
25
+ "save_format": "diffusers",
26
+ "push_to_hub": false
27
+ },
28
+ "datasets": [
29
+ {
30
+ "folder_path": "/workspace/ai-toolkit/datasets/qwewq",
31
+ "mask_path": null,
32
+ "mask_min_value": 0.1,
33
+ "default_caption": "woman masturbating pussy",
34
+ "caption_ext": "txt",
35
+ "caption_dropout_rate": 0.05,
36
+ "cache_latents_to_disk": false,
37
+ "is_reg": false,
38
+ "network_weight": 1,
39
+ "resolution": [
40
+ 512
41
+ ],
42
+ "controls": [],
43
+ "shrink_video_to_frames": true,
44
+ "num_frames": 33,
45
+ "flip_x": false,
46
+ "flip_y": false,
47
+ "num_repeats": 1
48
+ }
49
+ ],
50
+ "train": {
51
+ "batch_size": 1,
52
+ "bypass_guidance_embedding": false,
53
+ "steps": 3000,
54
+ "gradient_accumulation": 1,
55
+ "train_unet": true,
56
+ "train_text_encoder": false,
57
+ "gradient_checkpointing": true,
58
+ "noise_scheduler": "flowmatch",
59
+ "optimizer": "adamw8bit",
60
+ "timestep_type": "linear",
61
+ "content_or_style": "balanced",
62
+ "optimizer_params": {
63
+ "weight_decay": 0.0001
64
+ },
65
+ "unload_text_encoder": false,
66
+ "cache_text_embeddings": false,
67
+ "lr": 0.0001,
68
+ "ema_config": {
69
+ "use_ema": false,
70
+ "ema_decay": 0.99
71
+ },
72
+ "skip_first_sample": false,
73
+ "force_first_sample": false,
74
+ "disable_sampling": false,
75
+ "dtype": "bf16",
76
+ "diff_output_preservation": false,
77
+ "diff_output_preservation_multiplier": 1,
78
+ "diff_output_preservation_class": "person",
79
+ "switch_boundary_every": 1,
80
+ "loss_type": "mse",
81
+ "do_differential_guidance": true,
82
+ "differential_guidance_scale": 3
83
+ },
84
+ "logging": {
85
+ "log_every": 1,
86
+ "use_ui_logger": true
87
+ },
88
+ "model": {
89
+ "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
90
+ "quantize": true,
91
+ "qtype": "qfloat8",
92
+ "quantize_te": true,
93
+ "qtype_te": "qfloat8",
94
+ "arch": "wan22_14b:t2v",
95
+ "low_vram": false,
96
+ "model_kwargs": {
97
+ "train_high_noise": true,
98
+ "train_low_noise": true
99
+ },
100
+ "layer_offloading": false,
101
+ "layer_offloading_text_encoder_percent": 1,
102
+ "layer_offloading_transformer_percent": 1
103
+ },
104
+ "sample": {
105
+ "sampler": "flowmatch",
106
+ "sample_every": 250,
107
+ "width": 1024,
108
+ "height": 1024,
109
+ "samples": [],
110
+ "neg": "",
111
+ "seed": 42,
112
+ "walk_seed": true,
113
+ "guidance_scale": 4,
114
+ "sample_steps": 25,
115
+ "num_frames": 41,
116
+ "fps": 16
117
+ }
118
+ }
119
+ Changing sample extention to animated webp
120
+ Using SQLite database at /workspace/ai-toolkit/aitk_db.db
121
+ Job ID: "83e8ed4c-6743-434a-9d8f-364c179ac62e"
122
+
123
+ #############################################
124
+ # Running job: mastur_copy
125
+ #############################################
126
+
127
+
128
+ Running 1 process
129
+ Loading Wan model
130
+ Loading transformer 1
131
+
132
+
133
+ Quantizing Transformer 1
134
+ - quantizing 40 transformer blocks
135
+
136
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  90%|######### | 36/40 [00:08<00:00, 4.33it/s]
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215
  98%|#########7| 39/40 [00:09<00:00, 4.26it/s]
216
+
217
+ - quantizing extras
218
+ Loading transformer 2
219
+
220
+
221
+ Quantizing Transformer 2
222
+ - quantizing 40 transformer blocks
223
+
224
  0%| | 0/40 [00:00<?, ?it/s]
225
  0%| | 0/40 [00:00<?, ?it/s]
226
  22%|##2 | 9/40 [00:00<00:00, 88.65it/s]
227
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229
  45%|####5 | 18/40 [00:00<00:00, 86.18it/s]
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  68%|######7 | 27/40 [00:00<00:00, 85.43it/s]
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  68%|######7 | 27/40 [00:00<00:00, 85.43it/s]
232
  90%|######### | 36/40 [00:00<00:00, 85.09it/s]
233
  90%|######### | 36/40 [00:00<00:00, 85.09it/s]
234
+
235
+ - quantizing extras
236
+ Creating DualWanTransformer3DModel
237
+ Loading UMT5EncoderModel
238
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
239
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
240
+ Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
241
+ `torch_dtype` is deprecated! Use `dtype` instead!
242
+ `torch_dtype` is deprecated! Use `dtype` instead!
243
+
244
+
245
+ Quantizing UMT5EncoderModel
246
+ Loading VAE
247
+ Making pipe
248
+ Preparing Model
249
+ create LoRA network. base dim (rank): 64, alpha: 64
250
+ neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
251
+ apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
252
+ create LoRA for Text Encoder: 0 modules.
253
+ create LoRA for U-Net: 800 modules.
254
+ enable LoRA for U-Net
255
+ Dataset: /workspace/ai-toolkit/datasets/qwewq
256
+ - Preprocessing video dimensions
257
+
258
  0%| | 0/22 [00:00<?, ?it/s]
259
  0%| | 0/22 [00:00<?, ?it/s]
260
+
261
+ - Found 22 videos
262
+ Bucket sizes for /workspace/ai-toolkit/datasets/qwewq:
263
+ 384x672: 11 files
264
+ 672x384: 7 files
265
+ 256x448: 1 files
266
+ 352x608: 2 files
267
+ 416x576: 1 files
268
+ 5 buckets made
269
+ Generating baseline samples before training
270
+
271
 
272
 
273
+
274
+ ========================================
275
+ Result:
276
+ - 0 completed jobs
277
+ - 1 failure
278
+ ========================================
279
+ Traceback (most recent call last):
280
+ Traceback (most recent call last):
281
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
282
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
283
+ main()main()
284
+
285
+ File "/workspace/ai-toolkit/run.py", line 108, in main
286
+ File "/workspace/ai-toolkit/run.py", line 108, in main
287
+ raise eraise e
288
+
289
+ File "/workspace/ai-toolkit/run.py", line 96, in main
290
+ File "/workspace/ai-toolkit/run.py", line 96, in main
291
+ job.run()job.run()
292
+
293
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
294
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
295
+ process.run()process.run()
296
+
297
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
298
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
299
+ self.end_step_hook()self.end_step_hook()
300
+
301
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
302
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
303
+ self.maybe_stop()self.maybe_stop()
304
+
305
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
306
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
307
+ raise Exception("Job stopped")raise Exception("Job stopped")
308
+
309
+ ExceptionException: : Job stoppedJob stopped
310
+
311
+
312
+
mastur_copy/logs/1_log.txt ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
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15
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16
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60
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73
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79
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80
  0%| | 0/40 [00:00<?, ?it/s]
81
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82
  22%|##2 | 9/40 [00:00<00:00, 88.63it/s]
83
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84
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85
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86
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88
  90%|######### | 36/40 [00:00<00:00, 85.20it/s]
89
  90%|######### | 36/40 [00:00<00:00, 85.20it/s]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
90
  0%| | 0/22 [00:00<?, ?it/s]
91
  0%| | 0/22 [00:00<?, ?it/s]
 
 
 
 
 
 
 
 
 
 
 
92
 
93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Running 1 job
2
+ {
3
+ "type": "diffusion_trainer",
4
+ "training_folder": "/workspace/ai-toolkit/output",
5
+ "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
6
+ "device": "cuda",
7
+ "trigger_word": null,
8
+ "performance_log_every": 10,
9
+ "network": {
10
+ "type": "lora",
11
+ "linear": 64,
12
+ "linear_alpha": 64,
13
+ "conv": 16,
14
+ "conv_alpha": 16,
15
+ "lokr_full_rank": true,
16
+ "lokr_factor": -1,
17
+ "network_kwargs": {
18
+ "ignore_if_contains": []
19
+ }
20
+ },
21
+ "save": {
22
+ "dtype": "bf16",
23
+ "save_every": 1000,
24
+ "max_step_saves_to_keep": 4,
25
+ "save_format": "diffusers",
26
+ "push_to_hub": false
27
+ },
28
+ "datasets": [
29
+ {
30
+ "folder_path": "/workspace/ai-toolkit/datasets/qwewq",
31
+ "mask_path": null,
32
+ "mask_min_value": 0.1,
33
+ "default_caption": "woman masturbating pussy",
34
+ "caption_ext": "txt",
35
+ "caption_dropout_rate": 0.05,
36
+ "cache_latents_to_disk": false,
37
+ "is_reg": false,
38
+ "network_weight": 1,
39
+ "resolution": [
40
+ 512
41
+ ],
42
+ "controls": [],
43
+ "shrink_video_to_frames": true,
44
+ "num_frames": 41,
45
+ "flip_x": false,
46
+ "flip_y": false,
47
+ "num_repeats": 1
48
+ }
49
+ ],
50
+ "train": {
51
+ "batch_size": 1,
52
+ "bypass_guidance_embedding": false,
53
+ "steps": 3000,
54
+ "gradient_accumulation": 1,
55
+ "train_unet": true,
56
+ "train_text_encoder": false,
57
+ "gradient_checkpointing": true,
58
+ "noise_scheduler": "flowmatch",
59
+ "optimizer": "adamw8bit",
60
+ "timestep_type": "linear",
61
+ "content_or_style": "balanced",
62
+ "optimizer_params": {
63
+ "weight_decay": 0.0001
64
+ },
65
+ "unload_text_encoder": false,
66
+ "cache_text_embeddings": false,
67
+ "lr": 0.0001,
68
+ "ema_config": {
69
+ "use_ema": false,
70
+ "ema_decay": 0.99
71
+ },
72
+ "skip_first_sample": false,
73
+ "force_first_sample": false,
74
+ "disable_sampling": false,
75
+ "dtype": "bf16",
76
+ "diff_output_preservation": false,
77
+ "diff_output_preservation_multiplier": 1,
78
+ "diff_output_preservation_class": "person",
79
+ "switch_boundary_every": 1,
80
+ "loss_type": "mse",
81
+ "do_differential_guidance": true,
82
+ "differential_guidance_scale": 3
83
+ },
84
+ "logging": {
85
+ "log_every": 1,
86
+ "use_ui_logger": true
87
+ },
88
+ "model": {
89
+ "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
90
+ "quantize": true,
91
+ "qtype": "qfloat8",
92
+ "quantize_te": true,
93
+ "qtype_te": "qfloat8",
94
+ "arch": "wan22_14b:t2v",
95
+ "low_vram": false,
96
+ "model_kwargs": {
97
+ "train_high_noise": true,
98
+ "train_low_noise": true
99
+ },
100
+ "layer_offloading": false,
101
+ "layer_offloading_text_encoder_percent": 1,
102
+ "layer_offloading_transformer_percent": 1
103
+ },
104
+ "sample": {
105
+ "sampler": "flowmatch",
106
+ "sample_every": 250,
107
+ "width": 1024,
108
+ "height": 1024,
109
+ "samples": [],
110
+ "neg": "",
111
+ "seed": 42,
112
+ "walk_seed": true,
113
+ "guidance_scale": 4,
114
+ "sample_steps": 25,
115
+ "num_frames": 41,
116
+ "fps": 16
117
+ }
118
+ }
119
+ Changing sample extention to animated webp
120
+ Using SQLite database at /workspace/ai-toolkit/aitk_db.db
121
+ Job ID: "83e8ed4c-6743-434a-9d8f-364c179ac62e"
122
+
123
+ #############################################
124
+ # Running job: mastur_copy
125
+ #############################################
126
+
127
+
128
+ Running 1 process
129
+ Loading Wan model
130
+ Loading transformer 1
131
+
132
+
133
+ Quantizing Transformer 1
134
+ - quantizing 40 transformer blocks
135
+
136
  0%| | 0/40 [00:00<?, ?it/s]
137
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143
  8%|7 | 3/40 [00:00<00:09, 4.06it/s]
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  10%|# | 4/40 [00:01<00:08, 4.03it/s]
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  10%|# | 4/40 [00:01<00:08, 4.03it/s]
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  12%|#2 | 5/40 [00:01<00:08, 4.01it/s]
147
  12%|#2 | 5/40 [00:01<00:08, 4.01it/s]
148
  15%|#5 | 6/40 [00:01<00:08, 4.11it/s]
149
  15%|#5 | 6/40 [00:01<00:08, 4.11it/s]
150
  18%|#7 | 7/40 [00:01<00:07, 4.17it/s]
151
  18%|#7 | 7/40 [00:01<00:07, 4.17it/s]
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  20%|## | 8/40 [00:01<00:07, 4.22it/s]
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  20%|## | 8/40 [00:01<00:07, 4.22it/s]
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  22%|##2 | 9/40 [00:02<00:07, 4.26it/s]
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  22%|##2 | 9/40 [00:02<00:07, 4.26it/s]
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  25%|##5 | 10/40 [00:02<00:06, 4.29it/s]
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  28%|##7 | 11/40 [00:02<00:06, 4.31it/s]
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168
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  68%|######7 | 27/40 [00:06<00:02, 4.36it/s]
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  70%|####### | 28/40 [00:06<00:02, 4.34it/s]
193
  70%|####### | 28/40 [00:06<00:02, 4.34it/s]
194
  72%|#######2 | 29/40 [00:06<00:02, 4.18it/s]
195
  72%|#######2 | 29/40 [00:06<00:02, 4.18it/s]
196
  75%|#######5 | 30/40 [00:07<00:02, 4.22it/s]
197
  75%|#######5 | 30/40 [00:07<00:02, 4.22it/s]
198
  78%|#######7 | 31/40 [00:07<00:02, 4.22it/s]
199
  78%|#######7 | 31/40 [00:07<00:02, 4.22it/s]
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  80%|######## | 32/40 [00:07<00:01, 4.27it/s]
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  80%|######## | 32/40 [00:07<00:01, 4.27it/s]
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  82%|########2 | 33/40 [00:07<00:01, 4.31it/s]
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  82%|########2 | 33/40 [00:07<00:01, 4.31it/s]
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  85%|########5 | 34/40 [00:08<00:01, 4.34it/s]
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  85%|########5 | 34/40 [00:08<00:01, 4.34it/s]
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  88%|########7 | 35/40 [00:08<00:01, 4.32it/s]
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  88%|########7 | 35/40 [00:08<00:01, 4.32it/s]
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  90%|######### | 36/40 [00:08<00:00, 4.33it/s]
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  90%|######### | 36/40 [00:08<00:00, 4.33it/s]
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  92%|#########2| 37/40 [00:08<00:00, 4.31it/s]
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  92%|#########2| 37/40 [00:08<00:00, 4.31it/s]
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  95%|#########5| 38/40 [00:08<00:00, 4.31it/s]
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  95%|#########5| 38/40 [00:08<00:00, 4.31it/s]
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  98%|#########7| 39/40 [00:09<00:00, 4.22it/s]
215
  98%|#########7| 39/40 [00:09<00:00, 4.22it/s]
216
+
217
+ - quantizing extras
218
+ Loading transformer 2
219
+
220
+
221
+ Quantizing Transformer 2
222
+ - quantizing 40 transformer blocks
223
+
224
  0%| | 0/40 [00:00<?, ?it/s]
225
  0%| | 0/40 [00:00<?, ?it/s]
226
  22%|##2 | 9/40 [00:00<00:00, 88.63it/s]
227
  22%|##2 | 9/40 [00:00<00:00, 88.63it/s]
228
  45%|####5 | 18/40 [00:00<00:00, 86.26it/s]
229
  45%|####5 | 18/40 [00:00<00:00, 86.26it/s]
230
  68%|######7 | 27/40 [00:00<00:00, 85.49it/s]
231
  68%|######7 | 27/40 [00:00<00:00, 85.49it/s]
232
  90%|######### | 36/40 [00:00<00:00, 85.20it/s]
233
  90%|######### | 36/40 [00:00<00:00, 85.20it/s]
234
+
235
+ - quantizing extras
236
+ Creating DualWanTransformer3DModel
237
+ Loading UMT5EncoderModel
238
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
239
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
240
+ Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
241
+ `torch_dtype` is deprecated! Use `dtype` instead!
242
+ `torch_dtype` is deprecated! Use `dtype` instead!
243
+
244
+
245
+ Quantizing UMT5EncoderModel
246
+ Loading VAE
247
+ Making pipe
248
+ Preparing Model
249
+ create LoRA network. base dim (rank): 64, alpha: 64
250
+ neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
251
+ apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
252
+ create LoRA for Text Encoder: 0 modules.
253
+ create LoRA for U-Net: 800 modules.
254
+ enable LoRA for U-Net
255
+ Dataset: /workspace/ai-toolkit/datasets/qwewq
256
+ - Preprocessing video dimensions
257
+
258
  0%| | 0/22 [00:00<?, ?it/s]
259
  0%| | 0/22 [00:00<?, ?it/s]
260
+
261
+ - Found 22 videos
262
+ Bucket sizes for /workspace/ai-toolkit/datasets/qwewq:
263
+ 384x672: 11 files
264
+ 672x384: 7 files
265
+ 256x448: 1 files
266
+ 352x608: 2 files
267
+ 416x576: 1 files
268
+ 5 buckets made
269
+ Generating baseline samples before training
270
+
271
 
272
 
273
+
274
+ ========================================
275
+ Result:
276
+ - 0 completed jobs
277
+ - 1 failure
278
+ ========================================
279
+ Traceback (most recent call last):
280
+ Traceback (most recent call last):
281
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
282
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
283
+ main()main()
284
+
285
+ File "/workspace/ai-toolkit/run.py", line 108, in main
286
+ File "/workspace/ai-toolkit/run.py", line 108, in main
287
+ raise eraise e
288
+
289
+ File "/workspace/ai-toolkit/run.py", line 96, in main
290
+ File "/workspace/ai-toolkit/run.py", line 96, in main
291
+ job.run()job.run()
292
+
293
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
294
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
295
+ process.run()process.run()
296
+
297
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
298
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
299
+ self.end_step_hook()self.end_step_hook()
300
+
301
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
302
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
303
+ self.maybe_stop()self.maybe_stop()
304
+
305
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
306
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
307
+ raise Exception("Job stopped")raise Exception("Job stopped")
308
+
309
+ ExceptionException: : Job stoppedJob stopped
310
+
311
+
312
+
mastur_copy/logs/2_log.txt ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
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2
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3
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4
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7
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8
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9
  10%|# | 4/40 [00:00<00:08, 4.14it/s]
10
  12%|#2 | 5/40 [00:01<00:08, 4.23it/s]
11
  12%|#2 | 5/40 [00:01<00:08, 4.23it/s]
12
  15%|#5 | 6/40 [00:01<00:07, 4.26it/s]
13
  15%|#5 | 6/40 [00:01<00:07, 4.26it/s]
14
  18%|#7 | 7/40 [00:01<00:07, 4.29it/s]
15
  18%|#7 | 7/40 [00:01<00:07, 4.29it/s]
16
  20%|## | 8/40 [00:01<00:07, 4.31it/s]
17
  20%|## | 8/40 [00:01<00:07, 4.31it/s]
18
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19
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20
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23
  28%|##7 | 11/40 [00:02<00:06, 4.37it/s]
24
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25
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27
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29
  35%|###5 | 14/40 [00:03<00:05, 4.38it/s]
30
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31
  38%|###7 | 15/40 [00:03<00:05, 4.38it/s]
32
  40%|#### | 16/40 [00:03<00:05, 4.39it/s]
33
  40%|#### | 16/40 [00:03<00:05, 4.39it/s]
34
  42%|####2 | 17/40 [00:03<00:05, 4.38it/s]
35
  42%|####2 | 17/40 [00:03<00:05, 4.38it/s]
36
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37
  45%|####5 | 18/40 [00:04<00:05, 4.39it/s]
38
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40
  50%|##### | 20/40 [00:04<00:04, 4.38it/s]
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48
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49
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50
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53
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54
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55
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56
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57
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58
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59
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60
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61
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62
  78%|#######7 | 31/40 [00:07<00:02, 4.41it/s]
63
  78%|#######7 | 31/40 [00:07<00:02, 4.41it/s]
64
  80%|######## | 32/40 [00:07<00:01, 4.24it/s]
65
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66
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68
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69
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70
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71
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72
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73
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78
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79
  98%|#########7| 39/40 [00:09<00:00, 4.40it/s]
 
 
 
 
 
 
 
 
80
  0%| | 0/40 [00:00<?, ?it/s]
81
  0%| | 0/40 [00:00<?, ?it/s]
82
  22%|##2 | 9/40 [00:00<00:00, 88.97it/s]
83
  22%|##2 | 9/40 [00:00<00:00, 88.97it/s]
84
  45%|####5 | 18/40 [00:00<00:00, 86.37it/s]
85
  45%|####5 | 18/40 [00:00<00:00, 86.37it/s]
86
  68%|######7 | 27/40 [00:00<00:00, 84.32it/s]
87
  68%|######7 | 27/40 [00:00<00:00, 84.32it/s]
88
  90%|######### | 36/40 [00:00<00:00, 83.41it/s]
89
  90%|######### | 36/40 [00:00<00:00, 83.41it/s]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
90
  0%| | 0/22 [00:00<?, ?it/s]
91
  0%| | 0/22 [00:00<?, ?it/s]
 
 
 
 
 
 
 
 
 
 
 
92
 
93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Running 1 job
2
+ {
3
+ "type": "diffusion_trainer",
4
+ "training_folder": "/workspace/ai-toolkit/output",
5
+ "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
6
+ "device": "cuda",
7
+ "trigger_word": null,
8
+ "performance_log_every": 10,
9
+ "network": {
10
+ "type": "lora",
11
+ "linear": 64,
12
+ "linear_alpha": 64,
13
+ "conv": 16,
14
+ "conv_alpha": 16,
15
+ "lokr_full_rank": true,
16
+ "lokr_factor": -1,
17
+ "network_kwargs": {
18
+ "ignore_if_contains": []
19
+ }
20
+ },
21
+ "save": {
22
+ "dtype": "bf16",
23
+ "save_every": 1000,
24
+ "max_step_saves_to_keep": 4,
25
+ "save_format": "diffusers",
26
+ "push_to_hub": false
27
+ },
28
+ "datasets": [
29
+ {
30
+ "folder_path": "/workspace/ai-toolkit/datasets/qwewq",
31
+ "mask_path": null,
32
+ "mask_min_value": 0.1,
33
+ "default_caption": "woman masturbating pussy",
34
+ "caption_ext": "txt",
35
+ "caption_dropout_rate": 0.05,
36
+ "cache_latents_to_disk": false,
37
+ "is_reg": false,
38
+ "network_weight": 1,
39
+ "resolution": [
40
+ 512
41
+ ],
42
+ "controls": [],
43
+ "shrink_video_to_frames": true,
44
+ "num_frames": 81,
45
+ "flip_x": false,
46
+ "flip_y": false,
47
+ "num_repeats": 1
48
+ }
49
+ ],
50
+ "train": {
51
+ "batch_size": 1,
52
+ "bypass_guidance_embedding": false,
53
+ "steps": 3000,
54
+ "gradient_accumulation": 1,
55
+ "train_unet": true,
56
+ "train_text_encoder": false,
57
+ "gradient_checkpointing": true,
58
+ "noise_scheduler": "flowmatch",
59
+ "optimizer": "adamw8bit",
60
+ "timestep_type": "linear",
61
+ "content_or_style": "balanced",
62
+ "optimizer_params": {
63
+ "weight_decay": 0.0001
64
+ },
65
+ "unload_text_encoder": false,
66
+ "cache_text_embeddings": false,
67
+ "lr": 0.0001,
68
+ "ema_config": {
69
+ "use_ema": false,
70
+ "ema_decay": 0.99
71
+ },
72
+ "skip_first_sample": false,
73
+ "force_first_sample": false,
74
+ "disable_sampling": false,
75
+ "dtype": "bf16",
76
+ "diff_output_preservation": false,
77
+ "diff_output_preservation_multiplier": 1,
78
+ "diff_output_preservation_class": "person",
79
+ "switch_boundary_every": 1,
80
+ "loss_type": "mse",
81
+ "do_differential_guidance": true,
82
+ "differential_guidance_scale": 3
83
+ },
84
+ "logging": {
85
+ "log_every": 1,
86
+ "use_ui_logger": true
87
+ },
88
+ "model": {
89
+ "name_or_path": "ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16",
90
+ "quantize": true,
91
+ "qtype": "qfloat8",
92
+ "quantize_te": true,
93
+ "qtype_te": "qfloat8",
94
+ "arch": "wan22_14b:t2v",
95
+ "low_vram": false,
96
+ "model_kwargs": {
97
+ "train_high_noise": true,
98
+ "train_low_noise": true
99
+ },
100
+ "layer_offloading": false,
101
+ "layer_offloading_text_encoder_percent": 1,
102
+ "layer_offloading_transformer_percent": 1
103
+ },
104
+ "sample": {
105
+ "sampler": "flowmatch",
106
+ "sample_every": 250,
107
+ "width": 1024,
108
+ "height": 1024,
109
+ "samples": [],
110
+ "neg": "",
111
+ "seed": 42,
112
+ "walk_seed": true,
113
+ "guidance_scale": 4,
114
+ "sample_steps": 25,
115
+ "num_frames": 41,
116
+ "fps": 16
117
+ }
118
+ }
119
+ Changing sample extention to animated webp
120
+ Using SQLite database at /workspace/ai-toolkit/aitk_db.db
121
+ Job ID: "83e8ed4c-6743-434a-9d8f-364c179ac62e"
122
+
123
+ #############################################
124
+ # Running job: mastur_copy
125
+ #############################################
126
+
127
+
128
+ Running 1 process
129
+ Loading Wan model
130
+ Loading transformer 1
131
+
132
+
133
+ Quantizing Transformer 1
134
+ - quantizing 40 transformer blocks
135
+
136
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137
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143
  8%|7 | 3/40 [00:00<00:09, 4.02it/s]
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  10%|# | 4/40 [00:00<00:08, 4.14it/s]
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  10%|# | 4/40 [00:00<00:08, 4.14it/s]
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  12%|#2 | 5/40 [00:01<00:08, 4.23it/s]
147
  12%|#2 | 5/40 [00:01<00:08, 4.23it/s]
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  15%|#5 | 6/40 [00:01<00:07, 4.26it/s]
149
  15%|#5 | 6/40 [00:01<00:07, 4.26it/s]
150
  18%|#7 | 7/40 [00:01<00:07, 4.29it/s]
151
  18%|#7 | 7/40 [00:01<00:07, 4.29it/s]
152
  20%|## | 8/40 [00:01<00:07, 4.31it/s]
153
  20%|## | 8/40 [00:01<00:07, 4.31it/s]
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  22%|##2 | 9/40 [00:02<00:07, 4.33it/s]
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  22%|##2 | 9/40 [00:02<00:07, 4.33it/s]
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  25%|##5 | 10/40 [00:02<00:06, 4.35it/s]
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  32%|###2 | 13/40 [00:03<00:06, 4.39it/s]
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168
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172
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174
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176
  50%|##### | 20/40 [00:04<00:04, 4.38it/s]
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184
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185
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  68%|######7 | 27/40 [00:06<00:02, 4.40it/s]
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193
  70%|####### | 28/40 [00:06<00:02, 4.40it/s]
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  72%|#######2 | 29/40 [00:06<00:02, 4.39it/s]
195
  72%|#######2 | 29/40 [00:06<00:02, 4.39it/s]
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  75%|#######5 | 30/40 [00:06<00:02, 4.41it/s]
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  78%|#######7 | 31/40 [00:07<00:02, 4.41it/s]
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  78%|#######7 | 31/40 [00:07<00:02, 4.41it/s]
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  80%|######## | 32/40 [00:07<00:01, 4.24it/s]
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  80%|######## | 32/40 [00:07<00:01, 4.24it/s]
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  82%|########2 | 33/40 [00:07<00:01, 4.20it/s]
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  82%|########2 | 33/40 [00:07<00:01, 4.20it/s]
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  90%|######### | 36/40 [00:08<00:00, 4.34it/s]
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  92%|#########2| 37/40 [00:08<00:00, 4.37it/s]
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  92%|#########2| 37/40 [00:08<00:00, 4.37it/s]
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215
  98%|#########7| 39/40 [00:09<00:00, 4.40it/s]
216
+
217
+ - quantizing extras
218
+ Loading transformer 2
219
+
220
+
221
+ Quantizing Transformer 2
222
+ - quantizing 40 transformer blocks
223
+
224
  0%| | 0/40 [00:00<?, ?it/s]
225
  0%| | 0/40 [00:00<?, ?it/s]
226
  22%|##2 | 9/40 [00:00<00:00, 88.97it/s]
227
  22%|##2 | 9/40 [00:00<00:00, 88.97it/s]
228
  45%|####5 | 18/40 [00:00<00:00, 86.37it/s]
229
  45%|####5 | 18/40 [00:00<00:00, 86.37it/s]
230
  68%|######7 | 27/40 [00:00<00:00, 84.32it/s]
231
  68%|######7 | 27/40 [00:00<00:00, 84.32it/s]
232
  90%|######### | 36/40 [00:00<00:00, 83.41it/s]
233
  90%|######### | 36/40 [00:00<00:00, 83.41it/s]
234
+
235
+ - quantizing extras
236
+ Creating DualWanTransformer3DModel
237
+ Loading UMT5EncoderModel
238
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
239
+ You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
240
+ Using ai-toolkit/umt5_xxl_encoder for UMT5 encoder.
241
+ `torch_dtype` is deprecated! Use `dtype` instead!
242
+ `torch_dtype` is deprecated! Use `dtype` instead!
243
+
244
+
245
+ Quantizing UMT5EncoderModel
246
+ Loading VAE
247
+ Making pipe
248
+ Preparing Model
249
+ create LoRA network. base dim (rank): 64, alpha: 64
250
+ neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
251
+ apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
252
+ create LoRA for Text Encoder: 0 modules.
253
+ create LoRA for U-Net: 800 modules.
254
+ enable LoRA for U-Net
255
+ Dataset: /workspace/ai-toolkit/datasets/qwewq
256
+ - Preprocessing video dimensions
257
+
258
  0%| | 0/22 [00:00<?, ?it/s]
259
  0%| | 0/22 [00:00<?, ?it/s]
260
+
261
+ - Found 22 videos
262
+ Bucket sizes for /workspace/ai-toolkit/datasets/qwewq:
263
+ 384x672: 11 files
264
+ 672x384: 7 files
265
+ 256x448: 1 files
266
+ 352x608: 2 files
267
+ 416x576: 1 files
268
+ 5 buckets made
269
+ Generating baseline samples before training
270
+
271
 
272
 
273
+
274
+ ========================================
275
+ Result:
276
+ - 0 completed jobs
277
+ - 1 failure
278
+ ========================================
279
+ Traceback (most recent call last):
280
+ Traceback (most recent call last):
281
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
282
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
283
+ main()main()
284
+
285
+ File "/workspace/ai-toolkit/run.py", line 108, in main
286
+ File "/workspace/ai-toolkit/run.py", line 108, in main
287
+ raise eraise e
288
+
289
+ File "/workspace/ai-toolkit/run.py", line 96, in main
290
+ File "/workspace/ai-toolkit/run.py", line 96, in main
291
+ job.run()job.run()
292
+
293
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
294
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
295
+ process.run()process.run()
296
+
297
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
298
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
299
+ self.end_step_hook()self.end_step_hook()
300
+
301
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
302
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
303
+ self.maybe_stop()self.maybe_stop()
304
+
305
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
306
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
307
+ raise Exception("Job stopped")raise Exception("Job stopped")
308
+
309
+ ExceptionException: : Job stoppedJob stopped
310
+
311
+
312
+
mastur_copy/loss_log.db ADDED
Binary file (28.7 kB). View file
 
mastur_copy/pid.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ 56970