arhiteector commited on
Commit
fe25c6c
·
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1 Parent(s): 94d3bd3

upload permesk checkpoints (ignore sqlite wal/shm)

Browse files
.gitattributes CHANGED
@@ -192,3 +192,4 @@ run_r34_512_20260306_084725/samples/epoch_087.jpg filter=lfs diff=lfs merge=lfs
192
  run_r34_512_20260306_084725/samples/epoch_088.jpg filter=lfs diff=lfs merge=lfs -text
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  run_r34_512_20260306_084725/samples/epoch_089.jpg filter=lfs diff=lfs merge=lfs -text
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  run_r34_512_20260306_084725/samples/epoch_090.jpg filter=lfs diff=lfs merge=lfs -text
 
 
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  run_r34_512_20260306_084725/samples/epoch_088.jpg filter=lfs diff=lfs merge=lfs -text
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  run_r34_512_20260306_084725/samples/epoch_089.jpg filter=lfs diff=lfs merge=lfs -text
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  run_r34_512_20260306_084725/samples/epoch_090.jpg filter=lfs diff=lfs merge=lfs -text
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+ permesk/loss_log.db filter=lfs diff=lfs merge=lfs -text
permesk/.job_config.json ADDED
@@ -0,0 +1,127 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "job": "extension",
3
+ "config": {
4
+ "name": "permesk",
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": "permesk",
12
+ "performance_log_every": 10,
13
+ "network": {
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+ "type": "lora",
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+ "linear": 512,
16
+ "linear_alpha": 512,
17
+ "conv": 16,
18
+ "conv_alpha": 16,
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+ "lokr_full_rank": true,
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+ "lokr_factor": -1,
21
+ "network_kwargs": {
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+ "ignore_if_contains": []
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+ }
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+ },
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+ "save": {
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+ "dtype": "bf16",
27
+ "save_every": 1000,
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+ "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/qwe",
35
+ "mask_path": null,
36
+ "mask_min_value": 0.1,
37
+ "default_caption": "permesk woman",
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
+ 1024
45
+ ],
46
+ "controls": [],
47
+ "shrink_video_to_frames": true,
48
+ "num_frames": 1,
49
+ "flip_x": false,
50
+ "flip_y": false,
51
+ "num_repeats": 2
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": "weighted",
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": 0.0003,
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": "Tongyi-MAI/Z-Image-Turbo",
94
+ "quantize": true,
95
+ "qtype": "qfloat8",
96
+ "quantize_te": true,
97
+ "qtype_te": "qfloat8",
98
+ "arch": "zimage:turbo",
99
+ "low_vram": false,
100
+ "model_kwargs": {},
101
+ "layer_offloading": false,
102
+ "layer_offloading_text_encoder_percent": 1,
103
+ "layer_offloading_transformer_percent": 1,
104
+ "assistant_lora_path": "ostris/zimage_turbo_training_adapter/zimage_turbo_training_adapter_v2.safetensors"
105
+ },
106
+ "sample": {
107
+ "sampler": "flowmatch",
108
+ "sample_every": 250,
109
+ "width": 1024,
110
+ "height": 1024,
111
+ "samples": [],
112
+ "neg": "",
113
+ "seed": 42,
114
+ "walk_seed": true,
115
+ "guidance_scale": 1,
116
+ "sample_steps": 8,
117
+ "num_frames": 1,
118
+ "fps": 1
119
+ }
120
+ }
121
+ ]
122
+ },
123
+ "meta": {
124
+ "name": "[name]",
125
+ "version": "1.0"
126
+ }
127
+ }
permesk/config.yaml ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ job: extension
2
+ config:
3
+ name: permesk
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: permesk
10
+ performance_log_every: 10
11
+ network:
12
+ type: lora
13
+ linear: 512
14
+ linear_alpha: 512
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/qwe
29
+ mask_path: null
30
+ mask_min_value: 0.1
31
+ default_caption: permesk woman
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
+ - 1024
39
+ controls: []
40
+ shrink_video_to_frames: true
41
+ num_frames: 1
42
+ flip_x: false
43
+ flip_y: false
44
+ num_repeats: 2
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: weighted
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: 0.0003
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: Tongyi-MAI/Z-Image-Turbo
81
+ quantize: true
82
+ qtype: qfloat8
83
+ quantize_te: true
84
+ qtype_te: qfloat8
85
+ arch: zimage:turbo
86
+ low_vram: false
87
+ model_kwargs: {}
88
+ layer_offloading: false
89
+ layer_offloading_text_encoder_percent: 1
90
+ layer_offloading_transformer_percent: 1
91
+ assistant_lora_path: ostris/zimage_turbo_training_adapter/zimage_turbo_training_adapter_v2.safetensors
92
+ sample:
93
+ sampler: flowmatch
94
+ sample_every: 250
95
+ width: 1024
96
+ height: 1024
97
+ samples: []
98
+ neg: ''
99
+ seed: 42
100
+ walk_seed: true
101
+ guidance_scale: 1
102
+ sample_steps: 8
103
+ num_frames: 1
104
+ fps: 1
105
+ meta:
106
+ name: permesk
107
+ version: '1.0'
permesk/log.txt ADDED
The diff for this file is too large to render. See raw diff
 
permesk/logs/0_log.txt ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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": "permesk",
8
+ "performance_log_every": 10,
9
+ "network": {
10
+ "type": "lora",
11
+ "linear": 512,
12
+ "linear_alpha": 512,
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/qwe",
31
+ "mask_path": null,
32
+ "mask_min_value": 0.1,
33
+ "default_caption": "permesk woman",
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
+ 1024
41
+ ],
42
+ "controls": [],
43
+ "shrink_video_to_frames": true,
44
+ "num_frames": 1,
45
+ "flip_x": false,
46
+ "flip_y": false,
47
+ "num_repeats": 3
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": "weighted",
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": 0.0003,
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": "Tongyi-MAI/Z-Image-Turbo",
90
+ "quantize": true,
91
+ "qtype": "qfloat8",
92
+ "quantize_te": true,
93
+ "qtype_te": "qfloat8",
94
+ "arch": "zimage:turbo",
95
+ "low_vram": false,
96
+ "model_kwargs": {},
97
+ "layer_offloading": false,
98
+ "layer_offloading_text_encoder_percent": 1,
99
+ "layer_offloading_transformer_percent": 1,
100
+ "assistant_lora_path": "ostris/zimage_turbo_training_adapter/zimage_turbo_training_adapter_v2.safetensors"
101
+ },
102
+ "sample": {
103
+ "sampler": "flowmatch",
104
+ "sample_every": 250,
105
+ "width": 1024,
106
+ "height": 1024,
107
+ "samples": [],
108
+ "neg": "",
109
+ "seed": 42,
110
+ "walk_seed": true,
111
+ "guidance_scale": 1,
112
+ "sample_steps": 8,
113
+ "num_frames": 1,
114
+ "fps": 1
115
+ }
116
+ }
117
+ Using SQLite database at /workspace/ai-toolkit/aitk_db.db
118
+ Job ID: "d857f53c-4b8d-421d-bda6-7c5176c49d09"
119
+
120
+ #############################################
121
+ # Running job: permesk
122
+ #############################################
123
+
124
+
125
+ Running 1 process
126
+ Loading ZImage model
127
+ Loading transformer
128
+
129
+
130
+
131
+
132
+
133
+
134
+
135
+
136
+
137
+
138
+
139
+
140
+ Loading assistant LoRA
141
+
142
+
143
+ create LoRA network. base dim (rank): 64, alpha: 64
144
+ neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
145
+ create LoRA for Text Encoder: 0 modules.
146
+ create LoRA for U-Net: 276 modules.
147
+ enable LoRA for U-Net
148
+ Merging in assistant LoRA
149
+ Missing keys: []
150
+ Quantizing Transformer
151
+ - quantizing 30 transformer blocks
152
+
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  97%|#########6| 29/30 [00:04<00:00, 6.61it/s]
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+
214
+ - quantizing extras
215
+ Text Encoder
216
+
217
+
218
+
219
+
220
+
221
+
222
+
223
+
224
+ `torch_dtype` is deprecated! Use `dtype` instead!
225
+ `torch_dtype` is deprecated! Use `dtype` instead!
226
+
227
+
228
+
229
+
230
+
231
+
232
+
233
+
234
+
235
+
236
+
237
+
238
+
239
+
240
+ Quantizing Text Encoder
241
+ Loading VAE
242
+
243
+
244
+
245
+
246
+ Making pipe
247
+ Preparing Model
248
+ Model Loaded
249
+ create LoRA network. base dim (rank): 512, alpha: 512
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: 240 modules.
254
+ enable LoRA for U-Net
255
+ Dataset: /workspace/ai-toolkit/datasets/qwe
256
+ - Preprocessing image dimensions
257
+
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  33%|###3 | 34/102 [00:05<00:13, 4.92it/s]
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+
311
+ - Found 102 images
312
+ Bucket sizes for /workspace/ai-toolkit/datasets/qwe:
313
+ 1024x1024: 102 files
314
+ 1 buckets made
315
+ Generating baseline samples before training
316
+ Unloading assistant lora
317
+
318
 
319
 
320
+
321
+
322
+ ========================================
323
+ Result:
324
+ - 0 completed jobs
325
+ - 1 failure
326
+ ========================================
327
+ Traceback (most recent call last):
328
+ Traceback (most recent call last):
329
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
330
+ File "/workspace/ai-toolkit/run.py", line 120, in <module>
331
+ main()main()
332
+
333
+ File "/workspace/ai-toolkit/run.py", line 108, in main
334
+ File "/workspace/ai-toolkit/run.py", line 108, in main
335
+ raise eraise e
336
+
337
+ File "/workspace/ai-toolkit/run.py", line 96, in main
338
+ File "/workspace/ai-toolkit/run.py", line 96, in main
339
+ job.run()job.run()
340
+
341
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
342
+ File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
343
+ process.run()process.run()
344
+
345
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2367, in run
346
+ File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2367, in run
347
+ self.end_step_hook()self.end_step_hook()
348
+
349
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
350
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
351
+ self.maybe_stop()self.maybe_stop()
352
+
353
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
354
+ File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
355
+ raise Exception("Job stopped")raise Exception("Job stopped")
356
+
357
+ ExceptionException: : Job stoppedJob stopped
358
+
359
+
360
+
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