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2024-05-16 05:41:36,765 INFO MainThread:16630 [wandb_setup.py:_flush():76] Current SDK version is 0.15.7
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Configure stats pid to 16630
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from /content/kohya-trainer/wandb/settings
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'root_dir': '/content/LoRA/logs/20240516054027'}
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'sdxl_train_network.py', 'program': '/content/kohya-trainer/sdxl_train_network.py'}
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:_log_setup():507] Logging user logs to /content/LoRA/logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug.log
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:_log_setup():508] Logging internal logs to /content/LoRA/logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug-internal.log
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:init():547] calling init triggers
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
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config: {}
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:init():596] starting backend
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:init():600] setting up manager
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2024-05-16 05:41:36,768 INFO MainThread:16630 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-16 05:41:36,769 INFO MainThread:16630 [wandb_init.py:init():606] backend started and connected
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2024-05-16 05:41:36,771 INFO MainThread:16630 [wandb_init.py:init():697] updated telemetry
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2024-05-16 05:41:37,042 INFO MainThread:16630 [wandb_run.py:_on_init():2174] communicating current version
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2024-05-16 05:41:37,171 INFO MainThread:16630 [wandb_run.py:_on_init():2183] got version response upgrade_message: "wandb version 0.17.0 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-05-16 05:41:37,172 INFO MainThread:16630 [wandb_init.py:init():781] starting run threads in backend
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2024-05-16 05:41:37,220 INFO MainThread:16630 [wandb_run.py:_console_start():2153] atexit reg
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2024-05-16 05:41:37,220 INFO MainThread:16630 [wandb_run.py:_redirect():2073] Wrapping output streams.
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2024-05-16 05:41:37,220 INFO MainThread:16630 [wandb_run.py:_redirect():2098] Redirects installed.
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2024-05-16 05:41:37,221 INFO MainThread:16630 [wandb_init.py:init():822] run started, returning control to user process
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2024-05-16 05:58:19,244 WARNING MsgRouterThr:16630 [router.py:message_loop():77] message_loop has been closed
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logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/files/config.yaml
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wandb_version: 1
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_wandb:
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desc: null
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value:
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python_version: 3.10.12
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cli_version: 0.15.7
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framework: huggingface
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huggingface_version: 4.30.2
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start_time: 1715838096.769607
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logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/files/output.log
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epoch 1/20
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saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000001.safetensors
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generating sample images at step / サンプル画像生成 ステップ: 87
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prompt: D-ART,D-ART Style,18dart3,!!,??,standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect body,blonde hair, blue eyes, short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,android 18, BREAK (high-waist,black legwear,hands on own showing breasts undressed),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up, source_cartoon,
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negative_prompt: None
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height: 1024
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width: 1024
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sample_steps: 28
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scale: 7
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Token indices sequence length is longer than the specified maximum sequence length for this model (170 > 77). Running this sequence through the model will result in indexing errors
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Token indices sequence length is longer than the specified maximum sequence length for this model (170 > 77). Running this sequence through the model will result in indexing errors
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93% 26/28 [00:07<00:00, 3.52it/s]
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epoch 2/20
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saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000002.safetensors
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generating sample images at step / サンプル画像生成 ステップ: 174
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prompt: D-ART,D-ART Style,18dart3,!!,??,standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect body,blonde hair, blue eyes, short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,android 18, BREAK (high-waist,black legwear,hands on own showing breasts undressed),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up, source_cartoon,
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negative_prompt: None
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height: 1024
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width: 1024
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sample_steps: 28
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scale: 7
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93% 26/28 [00:07<00:00, 3.47it/s]
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epoch 3/20
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saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000003.safetensors
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generating sample images at step / サンプル画像生成 ステップ: 261
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+
prompt: D-ART,D-ART Style,18dart3,!!,??,standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect body,blonde hair, blue eyes, short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,android 18, BREAK (high-waist,black legwear,hands on own showing breasts undressed),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up, source_cartoon,
|
38 |
+
negative_prompt: None
|
39 |
+
height: 1216
|
40 |
+
width: 832
|
41 |
+
sample_steps: 28
|
42 |
+
scale: 7
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
|
47 |
+
|
48 |
+
93% 26/28 [00:07<00:00, 3.41it/s]
|
49 |
+
epoch 4/20
|
50 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000004.safetensors
|
51 |
+
Traceback (most recent call last):
|
52 |
+
File "/content/kohya-trainer/sdxl_train_network.py", line 174, in <module>
|
53 |
+
trainer.train(args)
|
54 |
+
File "/content/kohya-trainer/train_network.py", line 880, in train
|
55 |
+
self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet)
|
56 |
+
File "/content/kohya-trainer/sdxl_train_network.py", line 158, in sample_images
|
57 |
+
sdxl_train_util.sample_images(accelerator, args, epoch, global_step, device, vae, tokenizer, text_encoder, unet)
|
58 |
+
File "/content/kohya-trainer/library/sdxl_train_util.py", line 336, in sample_images
|
59 |
+
return train_util.sample_images_common(SdxlStableDiffusionLongPromptWeightingPipeline, *args, **kwargs)
|
60 |
+
File "/content/kohya-trainer/library/train_util.py", line 4162, in sample_images_common
|
61 |
+
data = toml.load(f)
|
62 |
+
File "/usr/local/lib/python3.10/dist-packages/toml/decoder.py", line 156, in load
|
63 |
+
return loads(f.read(), _dict, decoder)
|
64 |
+
File "/usr/local/lib/python3.10/dist-packages/toml/decoder.py", line 340, in loads
|
65 |
+
raise TomlDecodeError("Unbalanced quotes", original, i)
|
66 |
+
toml.decoder.TomlDecodeError: Unbalanced quotes (line 7 column 584 char 664)
|
67 |
+
generating sample images at step / サンプル画像生成 ステップ: 348
|
68 |
+
[31m╭─────────────────────────────── [39m[1mTraceback (most recent call last)[31m[22m ────────────────────────────────╮
|
69 |
+
[31m│[39m /content/kohya-trainer/[1msdxl_train_network.py[22m:[94m174[39m in [92m<module>[39m [31m│
|
70 |
+
[31m│[39m [31m│
|
71 |
+
[31m│[39m 171 │ args = train_util.read_config_from_file(args, parser) [31m│
|
72 |
+
[31m│[39m 172 │ [31m│
|
73 |
+
[31m│[39m 173 │ trainer = SdxlNetworkTrainer() [31m│
|
74 |
+
[31m│[39m [31m❱ [39m174 │ trainer.train(args) [31m│
|
75 |
+
[31m│[39m 175 [31m│
|
76 |
+
[31m│[39m [31m│
|
77 |
+
[31m│[39m /content/kohya-trainer/[1mtrain_network.py[22m:[94m880[39m in [92mtrain[39m [31m│
|
78 |
+
[31m│[39m [31m│
|
79 |
+
[31m│[39m 877 │ │ │ │ │ [94mif[39m args.save_state: [31m│
|
80 |
+
[31m│[39m 878 │ │ │ │ │ │ train_util.save_and_remove_state_on_epoch_end(args, accelerator, [31m│
|
81 |
+
[31m│[39m 879 │ │ │ [31m│
|
82 |
+
[31m│[39m [31m❱ [39m880 │ │ │ [96mself[39m.sample_images(accelerator, args, epoch + [94m1[39m, global_step, accelerator.de [31m│
|
83 |
+
[31m│[39m 881 │ │ │ [31m│
|
84 |
+
[31m│[39m 882 │ │ │ # end of epoch [31m│
|
85 |
+
[31m│[39m 883 [31m│
|
86 |
+
[31m│[39m [31m│
|
87 |
+
[31m│[39m /content/kohya-trainer/[1msdxl_train_network.py[22m:[94m158[39m in [92msample_images[39m [31m│
|
88 |
+
[31m│[39m [31m│
|
89 |
+
[31m│[39m 155 │ │ [94mreturn[39m noise_pred [31m│
|
90 |
+
[31m│[39m 156 │ [31m│
|
91 |
+
[31m│[39m 157 │ [94mdef[39m [92msample_images[39m([96mself[39m, accelerator, args, epoch, global_step, device, vae, tokenize [31m│
|
92 |
+
[31m│[39m [31m❱ [39m158 │ │ sdxl_train_util.sample_images(accelerator, args, epoch, global_step, device, vae [31m│
|
93 |
+
[31m│[39m 159 [31m│
|
94 |
+
[31m│[39m 160 [31m│
|
95 |
+
[31m│[39m 161 [94mdef[39m [92msetup_parser[39m() -> argparse.ArgumentParser: [31m│
|
96 |
+
[31m│[39m [31m│
|
97 |
+
[31m│[39m /content/kohya-trainer/library/[1msdxl_train_util.py[22m:[94m336[39m in [92msample_images[39m [31m│
|
98 |
+
[31m│[39m [31m│
|
99 |
+
[31m│[39m 333 [31m│
|
100 |
+
[31m│[39m 334 [31m│
|
101 |
+
[31m│[39m 335 [94mdef[39m [92msample_images[39m(*args, **kwargs): [31m│
|
102 |
+
[31m│[39m [31m❱ [39m336 │ [94mreturn[39m train_util.sample_images_common(SdxlStableDiffusionLongPromptWeightingPipelin [31m│
|
103 |
+
[31m│[39m 337 [31m│
|
104 |
+
[31m│[39m [31m│
|
105 |
+
[31m│[39m /content/kohya-trainer/library/[1mtrain_util.py[22m:[94m4162[39m in [92msample_images_common[39m [31m│
|
106 |
+
[31m│[39m [31m│
|
107 |
+
[31m│[39m 4159 │ │ prompts = [line.strip() [94mfor[39m line [95min[39m lines [94mif[39m [96mlen[39m(line.strip()) > [94m0[39m [95mand[39m line[[94m0[39m] ! [31m│
|
108 |
+
[31m│[39m 4160 │ [94melif[39m args.sample_prompts.endswith([33m".toml"[39m): [31m│
|
109 |
+
[31m│[39m 4161 │ │ [94mwith[39m [96mopen[39m(args.sample_prompts, [33m"r"[39m, encoding=[33m"utf-8"[39m) [94mas[39m f: [31m│
|
110 |
+
[31m│[39m [31m❱ [39m4162 │ │ │ data = toml.load(f) [31m│
|
111 |
+
[31m│[39m 4163 │ │ prompts = [[96mdict[39m(**data[[33m"prompt"[39m], **subset) [94mfor[39m subset [95min[39m data[[33m"prompt"[39m][[33m"subset[39m [31m│
|
112 |
+
[31m│[39m 4164 │ [94melif[39m args.sample_prompts.endswith([33m".json"[39m): [31m│
|
113 |
+
[31m│[39m 4165 │ │ [94mwith[39m [96mopen[39m(args.sample_prompts, [33m"r"[39m, encoding=[33m"utf-8"[39m) [94mas[39m f: [31m│
|
114 |
+
[31m│[39m [31m│
|
115 |
+
[31m│[39m /usr/local/lib/python3.10/dist-packages/toml/[1mdecoder.py[22m:[94m156[39m in [92mload[39m [31m│
|
116 |
+
[31m│[39m [31m│
|
117 |
+
[31m│[39m 153 │ │ [94mreturn[39m d [31m│
|
118 |
+
[31m│[39m 154 │ [94melse[39m: [31m│
|
119 |
+
[31m│[39m 155 │ │ [94mtry[39m: [31m│
|
120 |
+
[31m│[39m [31m❱ [39m 156 │ │ │ [94mreturn[39m loads(f.read(), _dict, decoder) [31m│
|
121 |
+
[31m│[39m 157 │ │ [94mexcept[39m [96mAttributeError[39m: [31m│
|
122 |
+
[31m│[39m 158 │ │ │ [94mraise[39m [96mTypeError[39m([33m"You can only load a file descriptor, filename or "[39m [31m│
|
123 |
+
[31m│[39m 159 │ │ │ │ │ │ │ [33m"list"[39m) [31m│
|
124 |
+
[31m│[39m [31m│
|
125 |
+
[31m│[39m /usr/local/lib/python3.10/dist-packages/toml/[1mdecoder.py[22m:[94m340[39m in [92mloads[39m [31m│
|
126 |
+
[31m│[39m [31m│
|
127 |
+
[31m│[39m 337 │ │ [94mif[39m item == [33m'\n'[39m: [31m│
|
128 |
+
[31m│[39m 338 │ │ │ [94mif[39m openstring [95mor[39m multilinestr: [31m│
|
129 |
+
[31m│[39m 339 │ │ │ │ [94mif[39m [95mnot[39m multilinestr: [31m│
|
130 |
+
[31m│[39m [31m❱ [39m 340 │ │ │ │ │ [94mraise[39m TomlDecodeError([33m"Unbalanced quotes"[39m, original, i) [31m│
|
131 |
+
[31m│[39m 341 │ │ │ │ [94mif[39m ((sl[i - [94m1[39m] == [33m"'"[39m [95mor[39m sl[i - [94m1[39m] == [33m'"'[39m) [95mand[39m ( [31m│
|
132 |
+
[31m│[39m 342 │ │ │ │ │ │ sl[i - [94m2[39m] == sl[i - [94m1[39m])): [31m│
|
133 |
+
[31m│[39m 343 │ │ │ │ │ sl[i] = sl[i - [94m1[39m] [31m│
|
134 |
+
[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
|
135 |
+
[1mTomlDecodeError: [22mUnbalanced quotes [1m([22mline [1m7[22m column [1m584[22m char [1m664)
|
logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/files/requirements.txt
ADDED
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|
1 |
+
absl-py==1.4.0
|
2 |
+
accelerate==0.19.0
|
3 |
+
aiohttp==3.9.5
|
4 |
+
aiosignal==1.3.1
|
5 |
+
alabaster==0.7.16
|
6 |
+
albumentations==1.3.1
|
7 |
+
altair==4.2.2
|
8 |
+
annotated-types==0.6.0
|
9 |
+
antlr4-python3-runtime==4.9.3
|
10 |
+
anyio==3.7.1
|
11 |
+
appdirs==1.4.4
|
12 |
+
argon2-cffi-bindings==21.2.0
|
13 |
+
argon2-cffi==23.1.0
|
14 |
+
array-record==0.5.1
|
15 |
+
arviz==0.15.1
|
16 |
+
astropy==5.3.4
|
17 |
+
astunparse==1.6.3
|
18 |
+
async-timeout==4.0.3
|
19 |
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atpublic==4.1.0
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20 |
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attrs==23.2.0
|
21 |
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audioread==3.0.1
|
22 |
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autograd==1.6.2
|
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av==12.0.0
|
24 |
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babel==2.15.0
|
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backcall==0.2.0
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beautifulsoup4==4.12.3
|
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bidict==0.23.1
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28 |
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bigframes==1.5.0
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bleach==6.1.0
|
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|
32 |
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blis==0.7.11
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bokeh==3.3.4
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bqplot==0.12.43
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branca==0.7.2
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build==1.2.1
|
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cachecontrol==0.14.0
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cachetools==5.3.3
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catalogue==2.0.10
|
42 |
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certifi==2024.2.2
|
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cffi==1.16.0
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44 |
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cfgv==3.4.0
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|
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charset-normalizer==3.3.2
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chex==0.1.86
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click-plugins==1.1.1
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|
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cligj==0.7.2
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|
52 |
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cloudpickle==2.2.1
|
53 |
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cmake==3.27.9
|
54 |
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|
55 |
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56 |
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|
57 |
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colour==0.1.5
|
58 |
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community==1.0.0b1
|
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confection==0.1.4
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60 |
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cons==0.4.6
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61 |
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|
62 |
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contexttimer==0.3.3
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63 |
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contourpy==1.2.1
|
64 |
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cryptography==42.0.7
|
65 |
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cuda-python==12.2.1
|
66 |
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cudf-cu12==24.4.1
|
67 |
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cufflinks==0.17.3
|
68 |
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cupy-cuda12x==12.2.0
|
69 |
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cvxopt==1.3.2
|
70 |
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cvxpy==1.3.4
|
71 |
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|
72 |
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|
73 |
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|
74 |
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dadaptation==3.1
|
75 |
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dask==2023.8.1
|
76 |
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datascience==0.17.6
|
77 |
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db-dtypes==1.2.0
|
78 |
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|
79 |
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debugpy==1.6.6
|
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decorator==4.4.2
|
81 |
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|
82 |
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|
83 |
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diffusers==0.18.2
|
84 |
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discord-protos==0.0.2
|
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discord.py-self==2.0.0
|
86 |
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distlib==0.3.8
|
87 |
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distributed==2023.8.1
|
88 |
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distro==1.7.0
|
89 |
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dlib==19.24.4
|
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dm-tree==0.1.8
|
91 |
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dnspython==2.6.1
|
92 |
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docker-pycreds==0.4.0
|
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docutils==0.18.1
|
95 |
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dopamine-rl==4.0.9
|
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duckdb==0.10.2
|
97 |
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|
98 |
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easydict==1.13
|
99 |
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|
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editdistance==0.6.2
|
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eerepr==0.0.4
|
102 |
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|
103 |
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elfinder-client==2.1.62a3
|
104 |
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email-validator==2.1.1
|
105 |
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en-core-web-sm==3.7.1
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106 |
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entrypoints==0.4
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et-xmlfile==1.1.0
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etils==1.7.0
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etuples==0.3.9
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exceptiongroup==1.2.1
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111 |
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fairscale==0.4.4
|
112 |
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fastai==2.7.15
|
113 |
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fastapi-cli==0.0.3
|
114 |
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fastapi==0.111.0
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115 |
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fastcore==1.5.33
|
116 |
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fastdownload==0.0.7
|
117 |
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fastjsonschema==2.19.1
|
118 |
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fastprogress==1.0.3
|
119 |
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fastrlock==0.8.2
|
120 |
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filelock==3.14.0
|
121 |
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fiona==1.9.6
|
122 |
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firebase-admin==5.3.0
|
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flask==2.2.5
|
124 |
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flatbuffers==24.3.25
|
125 |
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flax==0.8.3
|
126 |
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folium==0.14.0
|
127 |
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fonttools==4.51.0
|
128 |
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frozendict==2.4.4
|
129 |
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frozenlist==1.4.1
|
130 |
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|
131 |
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ftfy==6.1.1
|
132 |
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future==0.18.3
|
133 |
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gallery-dl==1.25.6
|
134 |
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gast==0.5.4
|
135 |
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gcsfs==2023.6.0
|
136 |
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gdal==3.6.4
|
137 |
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gdown==4.7.1
|
138 |
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|
139 |
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gensim==4.3.2
|
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|
141 |
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geographiclib==2.0
|
142 |
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|
143 |
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geopy==2.3.0
|
144 |
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gin-config==0.5.0
|
145 |
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gitdb==4.0.11
|
146 |
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gitpython==3.1.43
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147 |
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glob2==0.7
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148 |
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google-ai-generativelanguage==0.6.2
|
149 |
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google-api-core==2.11.1
|
150 |
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google-api-python-client==2.84.0
|
151 |
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google-auth-httplib2==0.1.1
|
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google-auth-oauthlib==1.2.0
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153 |
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google-auth==2.27.0
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154 |
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google-cloud-aiplatform==1.48.0
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155 |
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google-cloud-bigquery-connection==1.12.1
|
156 |
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google-cloud-bigquery-storage==2.25.0
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157 |
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google-cloud-bigquery==3.21.0
|
158 |
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google-cloud-core==2.3.3
|
159 |
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google-cloud-datastore==2.15.2
|
160 |
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google-cloud-firestore==2.11.1
|
161 |
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google-cloud-functions==1.13.3
|
162 |
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google-cloud-iam==2.15.0
|
163 |
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google-cloud-language==2.13.3
|
164 |
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google-cloud-resource-manager==1.12.3
|
165 |
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google-cloud-storage==2.8.0
|
166 |
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google-cloud-translate==3.11.3
|
167 |
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google-colab==1.0.0
|
168 |
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google-crc32c==1.5.0
|
169 |
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google-generativeai==0.5.2
|
170 |
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google-pasta==0.2.0
|
171 |
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google-resumable-media==2.7.0
|
172 |
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google==2.0.3
|
173 |
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googleapis-common-protos==1.63.0
|
174 |
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googledrivedownloader==0.4
|
175 |
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graphviz==0.20.3
|
176 |
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greenlet==3.0.3
|
177 |
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grpc-google-iam-v1==0.13.0
|
178 |
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grpcio-status==1.48.2
|
179 |
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grpcio==1.63.0
|
180 |
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gspread-dataframe==3.3.1
|
181 |
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gspread==6.0.2
|
182 |
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gym-notices==0.0.8
|
183 |
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gym==0.25.2
|
184 |
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h11==0.14.0
|
185 |
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h5netcdf==1.3.0
|
186 |
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h5py==3.9.0
|
187 |
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holidays==0.48
|
188 |
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holoviews==1.17.1
|
189 |
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html5lib==1.1
|
190 |
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httpcore==0.17.3
|
191 |
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httpimport==1.3.1
|
192 |
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httplib2==0.22.0
|
193 |
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httptools==0.6.1
|
194 |
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httpx==0.24.1
|
195 |
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huggingface-hub==0.15.1
|
196 |
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humanize==4.7.0
|
197 |
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hupper==1.12.1
|
198 |
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hyperopt==0.2.7
|
199 |
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ibis-framework==8.0.0
|
200 |
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identify==2.5.36
|
201 |
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idna==3.7
|
202 |
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imageio-ffmpeg==0.4.9
|
203 |
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imageio==2.34.1
|
204 |
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imagesize==1.4.1
|
205 |
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imbalanced-learn==0.10.1
|
206 |
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imgaug==0.4.0
|
207 |
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imjoy-elfinder==0.1.61
|
208 |
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importlib-metadata==7.1.0
|
209 |
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importlib-resources==6.4.0
|
210 |
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imutils==0.5.4
|
211 |
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inflect==7.0.0
|
212 |
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iniconfig==2.0.0
|
213 |
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intel-openmp==2023.2.4
|
214 |
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invisible-watermark==0.2.0
|
215 |
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iopath==0.1.10
|
216 |
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ipyevents==2.0.2
|
217 |
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ipyfilechooser==0.6.0
|
218 |
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ipykernel==5.5.6
|
219 |
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ipyleaflet==0.18.2
|
220 |
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ipython-genutils==0.2.0
|
221 |
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ipython-sql==0.5.0
|
222 |
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ipython==7.34.0
|
223 |
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ipytree==0.2.2
|
224 |
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ipywidgets==7.7.1
|
225 |
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itsdangerous==2.2.0
|
226 |
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jax==0.4.20
|
227 |
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jaxlib==0.4.20
|
228 |
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jedi==0.19.1
|
229 |
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jeepney==0.7.1
|
230 |
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jieba==0.42.1
|
231 |
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jinja2==3.1.4
|
232 |
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joblib==1.4.2
|
233 |
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jsonpickle==3.0.4
|
234 |
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jsonschema-specifications==2023.12.1
|
235 |
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jsonschema==4.19.2
|
236 |
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jupyter-client==6.1.12
|
237 |
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jupyter-console==6.1.0
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238 |
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jupyter-core==5.7.2
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239 |
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jupyter-server==1.24.0
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240 |
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jupyterlab-pygments==0.3.0
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241 |
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jupyterlab-widgets==3.0.10
|
242 |
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kaggle==1.6.12
|
243 |
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kagglehub==0.2.5
|
244 |
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keras==2.15.0
|
245 |
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keyring==23.5.0
|
246 |
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kiwisolver==1.4.5
|
247 |
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langcodes==3.4.0
|
248 |
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language-data==1.2.0
|
249 |
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launchpadlib==1.10.16
|
250 |
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lazr.restfulclient==0.14.4
|
251 |
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lazr.uri==1.0.6
|
252 |
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lazy-loader==0.4
|
253 |
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libclang==18.1.1
|
254 |
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library==0.0.0
|
255 |
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librosa==0.10.2
|
256 |
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lightgbm==4.1.0
|
257 |
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lightning-utilities==0.11.2
|
258 |
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linkify-it-py==2.0.3
|
259 |
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lion-pytorch==0.1.2
|
260 |
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lit==18.1.4
|
261 |
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llvmlite==0.41.1
|
262 |
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locket==1.0.0
|
263 |
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logical-unification==0.4.6
|
264 |
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lxml==5.2.2
|
265 |
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lycoris-lora==1.8.1.dev3
|
266 |
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malloy==2023.1067
|
267 |
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marisa-trie==1.1.1
|
268 |
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markdown-it-py==3.0.0
|
269 |
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markdown==3.6
|
270 |
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markupsafe==2.1.5
|
271 |
+
matplotlib-inline==0.1.7
|
272 |
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matplotlib-venn==0.11.10
|
273 |
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matplotlib==3.7.1
|
274 |
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mdit-py-plugins==0.4.0
|
275 |
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mdurl==0.1.2
|
276 |
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minikanren==1.0.3
|
277 |
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missingno==0.5.2
|
278 |
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mistune==0.8.4
|
279 |
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mizani==0.9.3
|
280 |
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mkl==2023.2.0
|
281 |
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ml-dtypes==0.2.0
|
282 |
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mlxtend==0.22.0
|
283 |
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more-itertools==10.1.0
|
284 |
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moviepy==1.0.3
|
285 |
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mpmath==1.3.0
|
286 |
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msgpack==1.0.8
|
287 |
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multidict==6.0.5
|
288 |
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multipledispatch==1.0.0
|
289 |
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multitasking==0.0.11
|
290 |
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murmurhash==1.0.10
|
291 |
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music21==9.1.0
|
292 |
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mypy-extensions==1.0.0
|
293 |
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natsort==8.4.0
|
294 |
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nbclassic==1.0.0
|
295 |
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nbclient==0.10.0
|
296 |
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nbconvert==6.5.4
|
297 |
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nbformat==5.10.4
|
298 |
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nest-asyncio==1.6.0
|
299 |
+
networkx==3.3
|
300 |
+
nibabel==4.0.2
|
301 |
+
nltk==3.8.1
|
302 |
+
nodeenv==1.8.0
|
303 |
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notebook-shim==0.2.4
|
304 |
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notebook==6.5.5
|
305 |
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numba==0.58.1
|
306 |
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numexpr==2.10.0
|
307 |
+
numpy==1.25.2
|
308 |
+
nvidia-cublas-cu12==12.1.3.1
|
309 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
310 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
311 |
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nvidia-cuda-runtime-cu12==12.1.105
|
312 |
+
nvidia-cudnn-cu12==8.9.2.26
|
313 |
+
nvidia-cufft-cu12==11.0.2.54
|
314 |
+
nvidia-curand-cu12==10.3.2.106
|
315 |
+
nvidia-cusolver-cu12==11.4.5.107
|
316 |
+
nvidia-cusparse-cu12==12.1.0.106
|
317 |
+
nvidia-nccl-cu12==2.19.3
|
318 |
+
nvidia-nvjitlink-cu12==12.4.127
|
319 |
+
nvidia-nvtx-cu12==12.1.105
|
320 |
+
nvtx==0.2.10
|
321 |
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oauth2client==4.1.3
|
322 |
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oauthlib==3.2.2
|
323 |
+
omegaconf==2.3.0
|
324 |
+
open-clip-torch==2.20.0
|
325 |
+
opencv-contrib-python==4.8.0.76
|
326 |
+
opencv-python-headless==4.5.5.64
|
327 |
+
opencv-python==4.7.0.68
|
328 |
+
opendatasets==0.1.22
|
329 |
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openpyxl==3.1.2
|
330 |
+
opt-einsum==3.3.0
|
331 |
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optax==0.2.2
|
332 |
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orbax-checkpoint==0.4.4
|
333 |
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orjson==3.10.3
|
334 |
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osqp==0.6.2.post8
|
335 |
+
packaging==24.0
|
336 |
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pandas-datareader==0.10.0
|
337 |
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pandas-gbq==0.19.2
|
338 |
+
pandas-stubs==2.0.3.230814
|
339 |
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pandas==2.0.3
|
340 |
+
pandocfilters==1.5.1
|
341 |
+
panel==1.3.8
|
342 |
+
param==2.1.0
|
343 |
+
parso==0.8.4
|
344 |
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parsy==2.1
|
345 |
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partd==1.4.2
|
346 |
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pastedeploy==3.1.0
|
347 |
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pathlib==1.0.1
|
348 |
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pathtools==0.1.2
|
349 |
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pathvalidate==3.2.0
|
350 |
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patsy==0.5.6
|
351 |
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peewee==3.17.3
|
352 |
+
pexpect==4.9.0
|
353 |
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pickleshare==0.7.5
|
354 |
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piexif==1.1.3
|
355 |
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pillow==10.3.0
|
356 |
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pip-tools==6.13.0
|
357 |
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pip==23.1.2
|
358 |
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plaster-pastedeploy==1.0.1
|
359 |
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plaster==1.1.2
|
360 |
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platformdirs==4.2.1
|
361 |
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plotly==5.15.0
|
362 |
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plotnine==0.12.4
|
363 |
+
pluggy==1.5.0
|
364 |
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polars==0.20.2
|
365 |
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pooch==1.8.1
|
366 |
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portalocker==2.8.2
|
367 |
+
portpicker==1.5.2
|
368 |
+
pre-commit==3.7.1
|
369 |
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prefetch-generator==1.0.3
|
370 |
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preshed==3.0.9
|
371 |
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prettytable==3.10.0
|
372 |
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proglog==0.1.10
|
373 |
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progressbar2==4.2.0
|
374 |
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prometheus-client==0.20.0
|
375 |
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promise==2.3
|
376 |
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prompt-toolkit==3.0.43
|
377 |
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prophet==1.1.5
|
378 |
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proto-plus==1.23.0
|
379 |
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protobuf==3.20.3
|
380 |
+
psutil==5.9.5
|
381 |
+
psycopg2==2.9.9
|
382 |
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ptyprocess==0.7.0
|
383 |
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py-cpuinfo==9.0.0
|
384 |
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py4j==0.10.9.7
|
385 |
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pyarrow-hotfix==0.6
|
386 |
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pyarrow==14.0.2
|
387 |
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pyasn1-modules==0.4.0
|
388 |
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pyasn1==0.6.0
|
389 |
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pycocoevalcap==1.2
|
390 |
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pycocotools==2.0.7
|
391 |
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pycparser==2.22
|
392 |
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pydantic-core==2.18.2
|
393 |
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pydantic==2.7.1
|
394 |
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pydata-google-auth==1.8.2
|
395 |
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pydeck==0.9.1
|
396 |
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pydot-ng==2.0.0
|
397 |
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pydot==1.4.2
|
398 |
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pydotplus==2.0.2
|
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logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/files/wandb-summary.json
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1 |
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logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
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logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug.log
ADDED
@@ -0,0 +1,29 @@
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|
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|
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|
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|
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|
1 |
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2024-05-16 05:41:36,765 INFO MainThread:16630 [wandb_setup.py:_flush():76] Current SDK version is 0.15.7
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2 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Configure stats pid to 16630
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3 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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4 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from /content/kohya-trainer/wandb/settings
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5 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'root_dir': '/content/LoRA/logs/20240516054027'}
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6 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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7 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'sdxl_train_network.py', 'program': '/content/kohya-trainer/sdxl_train_network.py'}
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8 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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9 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:_log_setup():507] Logging user logs to /content/LoRA/logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug.log
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10 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:_log_setup():508] Logging internal logs to /content/LoRA/logs/20240516054027/wandb/run-20240516_054136-17pfi0w3/logs/debug-internal.log
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11 |
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2024-05-16 05:41:36,766 INFO MainThread:16630 [wandb_init.py:init():547] calling init triggers
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2024-05-16 05:41:36,768 INFO MainThread:16630 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-16 05:41:36,769 INFO MainThread:16630 [wandb_init.py:init():606] backend started and connected
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2024-05-16 05:41:36,771 INFO MainThread:16630 [wandb_init.py:init():697] updated telemetry
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2024-05-16 05:41:36,776 INFO MainThread:16630 [wandb_init.py:init():730] communicating run to backend with 60.0 second timeout
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2024-05-16 05:41:37,042 INFO MainThread:16630 [wandb_run.py:_on_init():2174] communicating current version
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2024-05-16 05:41:37,172 INFO MainThread:16630 [wandb_init.py:init():781] starting run threads in backend
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Current SDK version is 0.15.7
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Configure stats pid to 21927
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from /content/kohya-trainer/wandb/settings
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'root_dir': '/content/LoRA/logs/20240516060001'}
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'sdxl_train_network.py', 'program': '/content/kohya-trainer/sdxl_train_network.py'}
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:_log_setup():507] Logging user logs to /content/LoRA/logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug.log
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:_log_setup():508] Logging internal logs to /content/LoRA/logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug-internal.log
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():547] calling init triggers
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
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config: {}
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():596] starting backend
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():600] setting up manager
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2024-05-16 06:00:56,278 INFO MainThread:21927 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-16 06:00:56,279 INFO MainThread:21927 [wandb_init.py:init():606] backend started and connected
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2024-05-16 06:00:56,282 INFO MainThread:21927 [wandb_init.py:init():697] updated telemetry
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2024-05-16 06:00:56,286 INFO MainThread:21927 [wandb_init.py:init():730] communicating run to backend with 60.0 second timeout
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2024-05-16 06:00:56,488 INFO MainThread:21927 [wandb_run.py:_on_init():2174] communicating current version
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2024-05-16 06:00:56,619 INFO MainThread:21927 [wandb_run.py:_on_init():2183] got version response upgrade_message: "wandb version 0.17.0 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-05-16 06:00:56,619 INFO MainThread:21927 [wandb_init.py:init():781] starting run threads in backend
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_console_start():2153] atexit reg
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2008] redirect: wrap_raw
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2073] Wrapping output streams.
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2098] Redirects installed.
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2024-05-16 06:00:56,668 INFO MainThread:21927 [wandb_init.py:init():822] run started, returning control to user process
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epoch 1/20
|
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+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000001.safetensors
|
4 |
+
Token indices sequence length is longer than the specified maximum sequence length for this model (163 > 77). Running this sequence through the model will result in indexing errors
|
5 |
+
Token indices sequence length is longer than the specified maximum sequence length for this model (163 > 77). Running this sequence through the model will result in indexing errors
|
6 |
+
generating sample images at step / サンプル画像生成 ステップ: 87
|
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+
prompt: D-ART,D-ART Style,18dart3,!!,??,standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect , short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,mina_ashido BREAK (Hero costume),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up, source_cartoon,
|
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+
negative_prompt: None
|
9 |
+
height: 1216
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+
width: 832
|
11 |
+
sample_steps: 28
|
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scale: 7
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14 |
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89% 25/28 [00:07<00:00, 3.46it/s]
|
18 |
+
epoch 2/20
|
19 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000002.safetensors
|
20 |
+
generating sample images at step / サンプル画像生成 ステップ: 174
|
21 |
+
prompt: D-ART,D-ART Style,18dart3,!!,??,standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect , short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,mina_ashido BREAK (Hero costume),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up, source_cartoon,
|
22 |
+
negative_prompt: None
|
23 |
+
height: 1216
|
24 |
+
width: 832
|
25 |
+
sample_steps: 28
|
26 |
+
scale: 7
|
27 |
+
|
28 |
+
|
29 |
+
|
30 |
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|
31 |
+
89% 25/28 [00:07<00:00, 3.42it/s]
|
32 |
+
epoch 3/20
|
33 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000003.safetensors
|
34 |
+
generating sample images at step / サンプル画像生成 ステップ: 261
|
35 |
+
prompt: @18DART1,@18dart2,@18dart5, D-ART,D-ART Style,18dart3,!!,??, source_cartoon,flat colors, standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect , short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,mina_ashido BREAK (Hero costume),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up
|
36 |
+
negative_prompt: None
|
37 |
+
height: 1216
|
38 |
+
width: 832
|
39 |
+
sample_steps: 28
|
40 |
+
scale: 12
|
41 |
+
|
42 |
+
|
43 |
+
|
44 |
+
|
45 |
+
79% 22/28 [00:06<00:01, 3.42it/s]
|
46 |
+
epoch 4/20
|
47 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000004.safetensors
|
48 |
+
generating sample images at step / サンプル画像生成 ステップ: 348
|
49 |
+
prompt: @18DART1,@18dart2,@18dart5, D-ART,D-ART Style,18dart3,!!,??, source_cartoon,flat colors, standing,standing,masterpiece, 1girl, massive breasts, thick thighs, wide hips, perfect , short hair, top angle shot, sitting,smile, detailed, beach, waves, wet hair, cleavage hyper breast,fat ass, bottom-heavy bubble butt, voluptuous, girl, pov,super short boy, skinny male, standing male, kneeling female, breasts to pelvis,fat ass, bottom-heavy, bubble butt, perky breasts,huge breasts, paizuri, tit job, big penis, bedroom eyes,grin, precum drip, skindentation, motion lines , cum shot, sweat, sweaty, wide hips, wet, sweaty,mina_ashido BREAK (Hero costume),detailed areola,huge hips,thicc thighs,inverted nipples, BREAK score_9, score_8_up, score_7_up, score_6_up
|
50 |
+
negative_prompt: None
|
51 |
+
height: 1216
|
52 |
+
width: 832
|
53 |
+
sample_steps: 28
|
54 |
+
scale: 10
|
55 |
+
|
56 |
+
|
57 |
+
|
58 |
+
|
59 |
+
96% 27/28 [00:07<00:00, 3.45it/s]
|
60 |
+
epoch 5/20
|
61 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000005.safetensors
|
62 |
+
generating sample images at step / サンプル画像生成 ステップ: 435
|
63 |
+
prompt: score_9, score_8_up, score_7_up, D-ART, 18dart3, Expressiveh, ??, mina_ashido standing looking back at viewer, tanlines, tan skin, sweat, ass, nude female
|
64 |
+
negative_prompt: None
|
65 |
+
height: 1216
|
66 |
+
width: 832
|
67 |
+
sample_steps: 28
|
68 |
+
scale: 7
|
69 |
+
|
70 |
+
|
71 |
+
|
72 |
+
|
73 |
+
|
74 |
+
93% 26/28 [00:07<00:00, 3.27it/s]
|
75 |
+
epoch 6/20
|
76 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000006.safetensors
|
77 |
+
generating sample images at step / サンプル画像生成 ステップ: 522
|
78 |
+
prompt: score_9, score_8_up, score_7_up, source_anime, boruto_sakura_xl, <3, 1girl, cute face, blushing, pink hair, long eyelashes, forehead mark, asking, motion lines, short hair, black dress, timid, looking away,(outdoors), simple background, cute, green eyes,highly detailed face, blush, kawaii, big breasts, tight high,detailed eyes, clevage, seductive smile,high res image, masterpiece, full body,
|
79 |
+
negative_prompt: None
|
80 |
+
height: 1216
|
81 |
+
width: 832
|
82 |
+
sample_steps: 28
|
83 |
+
scale: 7
|
84 |
+
|
85 |
+
|
86 |
+
|
87 |
+
|
88 |
+
82% 23/28 [00:06<00:01, 3.41it/s]
|
89 |
+
epoch 7/20
|
90 |
+
saving checkpoint: /content/drive/MyDrive/kohya-trainer/output/D-ART_XL-V2-000007.safetensors
|
91 |
+
Traceback (most recent call last):
|
92 |
+
File "/content/kohya-trainer/sdxl_train_network.py", line 174, in <module>
|
93 |
+
trainer.train(args)
|
94 |
+
File "/content/kohya-trainer/train_network.py", line 880, in train
|
95 |
+
self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet)
|
96 |
+
File "/content/kohya-trainer/sdxl_train_network.py", line 158, in sample_images
|
97 |
+
sdxl_train_util.sample_images(accelerator, args, epoch, global_step, device, vae, tokenizer, text_encoder, unet)
|
98 |
+
File "/content/kohya-trainer/library/sdxl_train_util.py", line 336, in sample_images
|
99 |
+
return train_util.sample_images_common(SdxlStableDiffusionLongPromptWeightingPipeline, *args, **kwargs)
|
100 |
+
File "/content/kohya-trainer/library/train_util.py", line 4162, in sample_images_common
|
101 |
+
data = toml.load(f)
|
102 |
+
File "/usr/local/lib/python3.10/dist-packages/toml/decoder.py", line 156, in load
|
103 |
+
return loads(f.read(), _dict, decoder)
|
104 |
+
File "/usr/local/lib/python3.10/dist-packages/toml/decoder.py", line 340, in loads
|
105 |
+
raise TomlDecodeError("Unbalanced quotes", original, i)
|
106 |
+
toml.decoder.TomlDecodeError: Unbalanced quotes (line 7 column 527 char 607)
|
107 |
+
[31m╭─────────────────────────────── [39m[1mTraceback (most recent call last)[31m[22m ────────────────────────────────╮
|
108 |
+
[31m│[39m /content/kohya-trainer/[1msdxl_train_network.py[22m:[94m174[39m in [92m<module>[39m [31m│
|
109 |
+
[31m│[39m [31m│
|
110 |
+
[31m│[39m 171 │ args = train_util.read_config_from_file(args, parser) [31m│
|
111 |
+
[31m│[39m 172 │ [31m│
|
112 |
+
[31m│[39m 173 │ trainer = SdxlNetworkTrainer() [31m│
|
113 |
+
[31m│[39m [31m❱ [39m174 │ trainer.train(args) [31m│
|
114 |
+
[31m│[39m 175 [31m│
|
115 |
+
[31m│[39m [31m│
|
116 |
+
[31m│[39m /content/kohya-trainer/[1mtrain_network.py[22m:[94m880[39m in [92mtrain[39m [31m│
|
117 |
+
[31m│[39m [31m│
|
118 |
+
[31m│[39m 877 │ │ │ │ │ [94mif[39m args.save_state: [31m│
|
119 |
+
[31m│[39m 878 │ │ │ │ │ │ train_util.save_and_remove_state_on_epoch_end(args, accelerator, [31m│
|
120 |
+
[31m│[39m 879 │ │ │ [31m│
|
121 |
+
[31m│[39m [31m❱ [39m880 │ │ │ [96mself[39m.sample_images(accelerator, args, epoch + [94m1[39m, global_step, accelerator.de [31m│
|
122 |
+
[31m│[39m 881 │ │ │ [31m│
|
123 |
+
[31m│[39m 882 │ │ │ # end of epoch [31m│
|
124 |
+
[31m│[39m 883 [31m│
|
125 |
+
[31m│[39m [31m│
|
126 |
+
[31m│[39m /content/kohya-trainer/[1msdxl_train_network.py[22m:[94m158[39m in [92msample_images[39m [31m│
|
127 |
+
[31m│[39m [31m│
|
128 |
+
[31m│[39m 155 │ │ [94mreturn[39m noise_pred [31m│
|
129 |
+
[31m│[39m 156 │ [31m│
|
130 |
+
[31m│[39m 157 │ [94mdef[39m [92msample_images[39m([96mself[39m, accelerator, args, epoch, global_step, device, vae, tokenize [31m│
|
131 |
+
[31m│[39m [31m❱ [39m158 │ │ sdxl_train_util.sample_images(accelerator, args, epoch, global_step, device, vae [31m│
|
132 |
+
[31m│[39m 159 [31m│
|
133 |
+
[31m│[39m 160 [31m│
|
134 |
+
[31m│[39m 161 [94mdef[39m [92msetup_parser[39m() -> argparse.ArgumentParser: [31m│
|
135 |
+
[31m│[39m [31m│
|
136 |
+
[31m│[39m /content/kohya-trainer/library/[1msdxl_train_util.py[22m:[94m336[39m in [92msample_images[39m [31m│
|
137 |
+
[31m│[39m [31m│
|
138 |
+
[31m│[39m 333 [31m│
|
139 |
+
[31m│[39m 334 [31m│
|
140 |
+
[31m│[39m 335 [94mdef[39m [92msample_images[39m(*args, **kwargs): [31m│
|
141 |
+
[31m│[39m [31m❱ [39m336 │ [94mreturn[39m train_util.sample_images_common(SdxlStableDiffusionLongPromptWeightingPipelin [31m│
|
142 |
+
[31m│[39m 337 [31m│
|
143 |
+
[31m│[39m [31m│
|
144 |
+
[31m│[39m /content/kohya-trainer/library/[1mtrain_util.py[22m:[94m4162[39m in [92msample_images_common[39m [31m│
|
145 |
+
[31m│[39m [31m│
|
146 |
+
[31m│[39m 4159 │ │ prompts = [line.strip() [94mfor[39m line [95min[39m lines [94mif[39m [96mlen[39m(line.strip()) > [94m0[39m [95mand[39m line[[94m0[39m] ! [31m│
|
147 |
+
[31m│[39m 4160 │ [94melif[39m args.sample_prompts.endswith([33m".toml"[39m): [31m│
|
148 |
+
[31m│[39m 4161 │ │ [94mwith[39m [96mopen[39m(args.sample_prompts, [33m"r"[39m, encoding=[33m"utf-8"[39m) [94mas[39m f: [31m│
|
149 |
+
[31m│[39m [31m❱ [39m4162 │ │ │ data = toml.load(f) [31m│
|
150 |
+
[31m│[39m 4163 │ │ prompts = [[96mdict[39m(**data[[33m"prompt"[39m], **subset) [94mfor[39m subset [95min[39m data[[33m"prompt"[39m][[33m"subset[39m [31m│
|
151 |
+
[31m│[39m 4164 │ [94melif[39m args.sample_prompts.endswith([33m".json"[39m): [31m│
|
152 |
+
[31m│[39m 4165 │ │ [94mwith[39m [96mopen[39m(args.sample_prompts, [33m"r"[39m, encoding=[33m"utf-8"[39m) [94mas[39m f: [31m│
|
153 |
+
[31m│[39m [31m│
|
154 |
+
[31m│[39m /usr/local/lib/python3.10/dist-packages/toml/[1mdecoder.py[22m:[94m156[39m in [92mload[39m [31m│
|
155 |
+
[31m│[39m [31m│
|
156 |
+
[31m│[39m 153 │ │ [94mreturn[39m d [31m│
|
157 |
+
[31m│[39m 154 │ [94melse[39m: [31m│
|
158 |
+
[31m│[39m 155 │ │ [94mtry[39m: [31m│
|
159 |
+
[31m│[39m [31m❱ [39m 156 │ │ │ [94mreturn[39m loads(f.read(), _dict, decoder) [31m│
|
160 |
+
[31m│[39m 157 │ │ [94mexcept[39m [96mAttributeError[39m: [31m│
|
161 |
+
[31m│[39m 158 │ │ │ [94mraise[39m [96mTypeError[39m([33m"You can only load a file descriptor, filename or "[39m [31m│
|
162 |
+
[31m│[39m 159 │ │ │ │ │ │ │ [33m"list"[39m) [31m│
|
163 |
+
[31m│[39m [31m│
|
164 |
+
[31m│[39m /usr/local/lib/python3.10/dist-packages/toml/[1mdecoder.py[22m:[94m340[39m in [92mloads[39m [31m│
|
165 |
+
[31m│[39m [31m│
|
166 |
+
[31m│[39m 337 │ │ [94mif[39m item == [33m'\n'[39m: [31m│
|
167 |
+
[31m│[39m 338 │ │ │ [94mif[39m openstring [95mor[39m multilinestr: [31m│
|
168 |
+
[31m│[39m 339 │ │ │ │ [94mif[39m [95mnot[39m multilinestr: [31m│
|
169 |
+
[31m│[39m [31m❱ [39m 340 │ │ │ │ │ [94mraise[39m TomlDecodeError([33m"Unbalanced quotes"[39m, original, i) [31m│
|
170 |
+
[31m│[39m 341 │ │ │ │ [94mif[39m ((sl[i - [94m1[39m] == [33m"'"[39m [95mor[39m sl[i - [94m1[39m] == [33m'"'[39m) [95mand[39m ( [31m│
|
171 |
+
[31m│[39m 342 │ │ │ │ │ │ sl[i - [94m2[39m] == sl[i - [94m1[39m])): [31m│
|
172 |
+
[31m│[39m 343 │ │ │ │ │ sl[i] = sl[i - [94m1[39m] [31m│
|
173 |
+
[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
|
174 |
+
[1mTomlDecodeError: [22mUnbalanced quotes [1m([22mline [1m7[22m column [1m527[22m char [1m607)
|
175 |
+
generating sample images at step / サンプル画像生成 ステップ: 609
|
logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/files/requirements.txt
ADDED
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|
1 |
+
absl-py==1.4.0
|
2 |
+
accelerate==0.19.0
|
3 |
+
aiohttp==3.9.5
|
4 |
+
aiosignal==1.3.1
|
5 |
+
alabaster==0.7.16
|
6 |
+
albumentations==1.3.1
|
7 |
+
altair==4.2.2
|
8 |
+
annotated-types==0.6.0
|
9 |
+
antlr4-python3-runtime==4.9.3
|
10 |
+
anyio==3.7.1
|
11 |
+
appdirs==1.4.4
|
12 |
+
argon2-cffi-bindings==21.2.0
|
13 |
+
argon2-cffi==23.1.0
|
14 |
+
array-record==0.5.1
|
15 |
+
arviz==0.15.1
|
16 |
+
astropy==5.3.4
|
17 |
+
astunparse==1.6.3
|
18 |
+
async-timeout==4.0.3
|
19 |
+
atpublic==4.1.0
|
20 |
+
attrs==23.2.0
|
21 |
+
audioread==3.0.1
|
22 |
+
autograd==1.6.2
|
23 |
+
av==12.0.0
|
24 |
+
babel==2.15.0
|
25 |
+
backcall==0.2.0
|
26 |
+
beautifulsoup4==4.12.3
|
27 |
+
bidict==0.23.1
|
28 |
+
bigframes==1.5.0
|
29 |
+
bitsandbytes==0.39.1
|
30 |
+
bleach==6.1.0
|
31 |
+
blinker==1.4
|
32 |
+
blis==0.7.11
|
33 |
+
blosc2==2.0.0
|
34 |
+
bokeh==3.3.4
|
35 |
+
bqplot==0.12.43
|
36 |
+
braceexpand==0.1.7
|
37 |
+
branca==0.7.2
|
38 |
+
build==1.2.1
|
39 |
+
cachecontrol==0.14.0
|
40 |
+
cachetools==5.3.3
|
41 |
+
catalogue==2.0.10
|
42 |
+
certifi==2024.2.2
|
43 |
+
cffi==1.16.0
|
44 |
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cfgv==3.4.0
|
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chardet==5.2.0
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charset-normalizer==3.3.2
|
47 |
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chex==0.1.86
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click-plugins==1.1.1
|
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click==8.1.7
|
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cligj==0.7.2
|
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cloudpathlib==0.16.0
|
52 |
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cloudpickle==2.2.1
|
53 |
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cmake==3.27.9
|
54 |
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cmdstanpy==1.2.2
|
55 |
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colorcet==3.1.0
|
56 |
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colorlover==0.3.0
|
57 |
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colour==0.1.5
|
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community==1.0.0b1
|
59 |
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confection==0.1.4
|
60 |
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cons==0.4.6
|
61 |
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contextlib2==21.6.0
|
62 |
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contexttimer==0.3.3
|
63 |
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contourpy==1.2.1
|
64 |
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cryptography==42.0.7
|
65 |
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cuda-python==12.2.1
|
66 |
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cudf-cu12==24.4.1
|
67 |
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cufflinks==0.17.3
|
68 |
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cupy-cuda12x==12.2.0
|
69 |
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cvxopt==1.3.2
|
70 |
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cvxpy==1.3.4
|
71 |
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cycler==0.12.1
|
72 |
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cymem==2.0.8
|
73 |
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cython==3.0.10
|
74 |
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dadaptation==3.1
|
75 |
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dask==2023.8.1
|
76 |
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datascience==0.17.6
|
77 |
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db-dtypes==1.2.0
|
78 |
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dbus-python==1.2.18
|
79 |
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debugpy==1.6.6
|
80 |
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decorator==4.4.2
|
81 |
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decord==0.6.0
|
82 |
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defusedxml==0.7.1
|
83 |
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diffusers==0.18.2
|
84 |
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discord-protos==0.0.2
|
85 |
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discord.py-self==2.0.0
|
86 |
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distlib==0.3.8
|
87 |
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distributed==2023.8.1
|
88 |
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distro==1.7.0
|
89 |
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dlib==19.24.4
|
90 |
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dm-tree==0.1.8
|
91 |
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dnspython==2.6.1
|
92 |
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docker-pycreds==0.4.0
|
93 |
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docstring-parser==0.16
|
94 |
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docutils==0.18.1
|
95 |
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dopamine-rl==4.0.9
|
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duckdb==0.10.2
|
97 |
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earthengine-api==0.1.401
|
98 |
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easydict==1.13
|
99 |
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ecos==2.0.13
|
100 |
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editdistance==0.6.2
|
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eerepr==0.0.4
|
102 |
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|
103 |
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elfinder-client==2.1.62a3
|
104 |
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email-validator==2.1.1
|
105 |
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en-core-web-sm==3.7.1
|
106 |
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entrypoints==0.4
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107 |
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et-xmlfile==1.1.0
|
108 |
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etils==1.7.0
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109 |
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etuples==0.3.9
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exceptiongroup==1.2.1
|
111 |
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fairscale==0.4.4
|
112 |
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fastai==2.7.15
|
113 |
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fastapi-cli==0.0.3
|
114 |
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fastapi==0.111.0
|
115 |
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fastcore==1.5.33
|
116 |
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fastdownload==0.0.7
|
117 |
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fastjsonschema==2.19.1
|
118 |
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fastprogress==1.0.3
|
119 |
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fastrlock==0.8.2
|
120 |
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filelock==3.14.0
|
121 |
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fiona==1.9.6
|
122 |
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firebase-admin==5.3.0
|
123 |
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flask==2.2.5
|
124 |
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flatbuffers==24.3.25
|
125 |
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flax==0.8.3
|
126 |
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folium==0.14.0
|
127 |
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fonttools==4.51.0
|
128 |
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frozendict==2.4.4
|
129 |
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frozenlist==1.4.1
|
130 |
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fsspec==2023.6.0
|
131 |
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ftfy==6.1.1
|
132 |
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future==0.18.3
|
133 |
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gallery-dl==1.25.6
|
134 |
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gast==0.5.4
|
135 |
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gcsfs==2023.6.0
|
136 |
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gdal==3.6.4
|
137 |
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gdown==4.7.1
|
138 |
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|
139 |
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gensim==4.3.2
|
140 |
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geocoder==1.38.1
|
141 |
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geographiclib==2.0
|
142 |
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geopandas==0.13.2
|
143 |
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geopy==2.3.0
|
144 |
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gin-config==0.5.0
|
145 |
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gitdb==4.0.11
|
146 |
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gitpython==3.1.43
|
147 |
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glob2==0.7
|
148 |
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google-ai-generativelanguage==0.6.2
|
149 |
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google-api-core==2.11.1
|
150 |
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google-api-python-client==2.84.0
|
151 |
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google-auth-httplib2==0.1.1
|
152 |
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google-auth-oauthlib==1.2.0
|
153 |
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google-auth==2.27.0
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154 |
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google-cloud-aiplatform==1.48.0
|
155 |
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google-cloud-bigquery-connection==1.12.1
|
156 |
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google-cloud-bigquery-storage==2.25.0
|
157 |
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google-cloud-bigquery==3.21.0
|
158 |
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google-cloud-core==2.3.3
|
159 |
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google-cloud-datastore==2.15.2
|
160 |
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google-cloud-firestore==2.11.1
|
161 |
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google-cloud-functions==1.13.3
|
162 |
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google-cloud-iam==2.15.0
|
163 |
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google-cloud-language==2.13.3
|
164 |
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google-cloud-resource-manager==1.12.3
|
165 |
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google-cloud-storage==2.8.0
|
166 |
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google-cloud-translate==3.11.3
|
167 |
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google-colab==1.0.0
|
168 |
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google-crc32c==1.5.0
|
169 |
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google-generativeai==0.5.2
|
170 |
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google-pasta==0.2.0
|
171 |
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google-resumable-media==2.7.0
|
172 |
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google==2.0.3
|
173 |
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googleapis-common-protos==1.63.0
|
174 |
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googledrivedownloader==0.4
|
175 |
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graphviz==0.20.3
|
176 |
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greenlet==3.0.3
|
177 |
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grpc-google-iam-v1==0.13.0
|
178 |
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grpcio-status==1.48.2
|
179 |
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grpcio==1.63.0
|
180 |
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gspread-dataframe==3.3.1
|
181 |
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gspread==6.0.2
|
182 |
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gym-notices==0.0.8
|
183 |
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gym==0.25.2
|
184 |
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h11==0.14.0
|
185 |
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h5netcdf==1.3.0
|
186 |
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h5py==3.9.0
|
187 |
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holidays==0.48
|
188 |
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holoviews==1.17.1
|
189 |
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html5lib==1.1
|
190 |
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httpcore==0.17.3
|
191 |
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httpimport==1.3.1
|
192 |
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httplib2==0.22.0
|
193 |
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httptools==0.6.1
|
194 |
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httpx==0.24.1
|
195 |
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huggingface-hub==0.15.1
|
196 |
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humanize==4.7.0
|
197 |
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hupper==1.12.1
|
198 |
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hyperopt==0.2.7
|
199 |
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ibis-framework==8.0.0
|
200 |
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identify==2.5.36
|
201 |
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idna==3.7
|
202 |
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imageio-ffmpeg==0.4.9
|
203 |
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imageio==2.34.1
|
204 |
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imagesize==1.4.1
|
205 |
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imbalanced-learn==0.10.1
|
206 |
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imgaug==0.4.0
|
207 |
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imjoy-elfinder==0.1.61
|
208 |
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importlib-metadata==7.1.0
|
209 |
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importlib-resources==6.4.0
|
210 |
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imutils==0.5.4
|
211 |
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inflect==7.0.0
|
212 |
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iniconfig==2.0.0
|
213 |
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intel-openmp==2023.2.4
|
214 |
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invisible-watermark==0.2.0
|
215 |
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iopath==0.1.10
|
216 |
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ipyevents==2.0.2
|
217 |
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ipyfilechooser==0.6.0
|
218 |
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ipykernel==5.5.6
|
219 |
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ipyleaflet==0.18.2
|
220 |
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ipython-genutils==0.2.0
|
221 |
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ipython-sql==0.5.0
|
222 |
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ipython==7.34.0
|
223 |
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ipytree==0.2.2
|
224 |
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ipywidgets==7.7.1
|
225 |
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itsdangerous==2.2.0
|
226 |
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jax==0.4.20
|
227 |
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jaxlib==0.4.20
|
228 |
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jedi==0.19.1
|
229 |
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jeepney==0.7.1
|
230 |
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jieba==0.42.1
|
231 |
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jinja2==3.1.4
|
232 |
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joblib==1.4.2
|
233 |
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jsonpickle==3.0.4
|
234 |
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jsonschema-specifications==2023.12.1
|
235 |
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jsonschema==4.19.2
|
236 |
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jupyter-client==6.1.12
|
237 |
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jupyter-console==6.1.0
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238 |
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jupyter-core==5.7.2
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239 |
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jupyter-server==1.24.0
|
240 |
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jupyterlab-pygments==0.3.0
|
241 |
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jupyterlab-widgets==3.0.10
|
242 |
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kaggle==1.6.12
|
243 |
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kagglehub==0.2.5
|
244 |
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keras==2.15.0
|
245 |
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keyring==23.5.0
|
246 |
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kiwisolver==1.4.5
|
247 |
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langcodes==3.4.0
|
248 |
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language-data==1.2.0
|
249 |
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launchpadlib==1.10.16
|
250 |
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lazr.restfulclient==0.14.4
|
251 |
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lazr.uri==1.0.6
|
252 |
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lazy-loader==0.4
|
253 |
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libclang==18.1.1
|
254 |
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library==0.0.0
|
255 |
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librosa==0.10.2
|
256 |
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lightgbm==4.1.0
|
257 |
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lightning-utilities==0.11.2
|
258 |
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linkify-it-py==2.0.3
|
259 |
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lion-pytorch==0.1.2
|
260 |
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lit==18.1.4
|
261 |
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llvmlite==0.41.1
|
262 |
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locket==1.0.0
|
263 |
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logical-unification==0.4.6
|
264 |
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lxml==5.2.2
|
265 |
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lycoris-lora==1.8.1.dev3
|
266 |
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malloy==2023.1067
|
267 |
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marisa-trie==1.1.1
|
268 |
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markdown-it-py==3.0.0
|
269 |
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markdown==3.6
|
270 |
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markupsafe==2.1.5
|
271 |
+
matplotlib-inline==0.1.7
|
272 |
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matplotlib-venn==0.11.10
|
273 |
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matplotlib==3.7.1
|
274 |
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mdit-py-plugins==0.4.0
|
275 |
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mdurl==0.1.2
|
276 |
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minikanren==1.0.3
|
277 |
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missingno==0.5.2
|
278 |
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mistune==0.8.4
|
279 |
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mizani==0.9.3
|
280 |
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mkl==2023.2.0
|
281 |
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ml-dtypes==0.2.0
|
282 |
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mlxtend==0.22.0
|
283 |
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more-itertools==10.1.0
|
284 |
+
moviepy==1.0.3
|
285 |
+
mpmath==1.3.0
|
286 |
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msgpack==1.0.8
|
287 |
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multidict==6.0.5
|
288 |
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multipledispatch==1.0.0
|
289 |
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multitasking==0.0.11
|
290 |
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murmurhash==1.0.10
|
291 |
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music21==9.1.0
|
292 |
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mypy-extensions==1.0.0
|
293 |
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natsort==8.4.0
|
294 |
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nbclassic==1.0.0
|
295 |
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nbclient==0.10.0
|
296 |
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nbconvert==6.5.4
|
297 |
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nbformat==5.10.4
|
298 |
+
nest-asyncio==1.6.0
|
299 |
+
networkx==3.3
|
300 |
+
nibabel==4.0.2
|
301 |
+
nltk==3.8.1
|
302 |
+
nodeenv==1.8.0
|
303 |
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notebook-shim==0.2.4
|
304 |
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notebook==6.5.5
|
305 |
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numba==0.58.1
|
306 |
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numexpr==2.10.0
|
307 |
+
numpy==1.25.2
|
308 |
+
nvidia-cublas-cu12==12.1.3.1
|
309 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
310 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
311 |
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nvidia-cuda-runtime-cu12==12.1.105
|
312 |
+
nvidia-cudnn-cu12==8.9.2.26
|
313 |
+
nvidia-cufft-cu12==11.0.2.54
|
314 |
+
nvidia-curand-cu12==10.3.2.106
|
315 |
+
nvidia-cusolver-cu12==11.4.5.107
|
316 |
+
nvidia-cusparse-cu12==12.1.0.106
|
317 |
+
nvidia-nccl-cu12==2.19.3
|
318 |
+
nvidia-nvjitlink-cu12==12.4.127
|
319 |
+
nvidia-nvtx-cu12==12.1.105
|
320 |
+
nvtx==0.2.10
|
321 |
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oauth2client==4.1.3
|
322 |
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oauthlib==3.2.2
|
323 |
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omegaconf==2.3.0
|
324 |
+
open-clip-torch==2.20.0
|
325 |
+
opencv-contrib-python==4.8.0.76
|
326 |
+
opencv-python-headless==4.5.5.64
|
327 |
+
opencv-python==4.7.0.68
|
328 |
+
opendatasets==0.1.22
|
329 |
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openpyxl==3.1.2
|
330 |
+
opt-einsum==3.3.0
|
331 |
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optax==0.2.2
|
332 |
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orbax-checkpoint==0.4.4
|
333 |
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orjson==3.10.3
|
334 |
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osqp==0.6.2.post8
|
335 |
+
packaging==24.0
|
336 |
+
pandas-datareader==0.10.0
|
337 |
+
pandas-gbq==0.19.2
|
338 |
+
pandas-stubs==2.0.3.230814
|
339 |
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pandas==2.0.3
|
340 |
+
pandocfilters==1.5.1
|
341 |
+
panel==1.3.8
|
342 |
+
param==2.1.0
|
343 |
+
parso==0.8.4
|
344 |
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parsy==2.1
|
345 |
+
partd==1.4.2
|
346 |
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pastedeploy==3.1.0
|
347 |
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pathlib==1.0.1
|
348 |
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pathtools==0.1.2
|
349 |
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pathvalidate==3.2.0
|
350 |
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patsy==0.5.6
|
351 |
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peewee==3.17.3
|
352 |
+
pexpect==4.9.0
|
353 |
+
pickleshare==0.7.5
|
354 |
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piexif==1.1.3
|
355 |
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pillow==10.3.0
|
356 |
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pip-tools==6.13.0
|
357 |
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pip==23.1.2
|
358 |
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plaster-pastedeploy==1.0.1
|
359 |
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plaster==1.1.2
|
360 |
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platformdirs==4.2.1
|
361 |
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plotly==5.15.0
|
362 |
+
plotnine==0.12.4
|
363 |
+
pluggy==1.5.0
|
364 |
+
polars==0.20.2
|
365 |
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pooch==1.8.1
|
366 |
+
portalocker==2.8.2
|
367 |
+
portpicker==1.5.2
|
368 |
+
pre-commit==3.7.1
|
369 |
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prefetch-generator==1.0.3
|
370 |
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preshed==3.0.9
|
371 |
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prettytable==3.10.0
|
372 |
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proglog==0.1.10
|
373 |
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progressbar2==4.2.0
|
374 |
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prometheus-client==0.20.0
|
375 |
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promise==2.3
|
376 |
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prompt-toolkit==3.0.43
|
377 |
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prophet==1.1.5
|
378 |
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proto-plus==1.23.0
|
379 |
+
protobuf==3.20.3
|
380 |
+
psutil==5.9.5
|
381 |
+
psycopg2==2.9.9
|
382 |
+
ptyprocess==0.7.0
|
383 |
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py-cpuinfo==9.0.0
|
384 |
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py4j==0.10.9.7
|
385 |
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pyarrow-hotfix==0.6
|
386 |
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pyarrow==14.0.2
|
387 |
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pyasn1-modules==0.4.0
|
388 |
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pyasn1==0.6.0
|
389 |
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pycocoevalcap==1.2
|
390 |
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pycocotools==2.0.7
|
391 |
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pycparser==2.22
|
392 |
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pydantic-core==2.18.2
|
393 |
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pydantic==2.7.1
|
394 |
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pydata-google-auth==1.8.2
|
395 |
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pydeck==0.9.1
|
396 |
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pydot-ng==2.0.0
|
397 |
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pydot==1.4.2
|
398 |
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pydotplus==2.0.2
|
399 |
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pydrive2==1.6.3
|
400 |
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pydrive==1.3.1
|
401 |
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pyerfa==2.0.1.4
|
402 |
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pygame==2.5.2
|
403 |
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pygments==2.16.1
|
404 |
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pygobject==3.42.1
|
405 |
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pyjwt==2.3.0
|
406 |
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pymc==5.10.4
|
407 |
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pymystem3==0.2.0
|
408 |
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pynvjitlink-cu12==0.2.3
|
409 |
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pyopengl==3.1.7
|
410 |
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pyopenssl==24.1.0
|
411 |
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pyparsing==3.1.2
|
412 |
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pyperclip==1.8.2
|
413 |
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pyproj==3.6.1
|
414 |
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pyproject-hooks==1.1.0
|
415 |
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pyramid-jinja2==2.10.1
|
416 |
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pyramid==2.0.2
|
417 |
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pyre-extensions==0.0.29
|
418 |
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pyshp==2.3.1
|
419 |
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pysocks==1.7.1
|
420 |
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pytensor==2.18.6
|
421 |
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pytest==7.4.4
|
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logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug-internal.log
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logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug.log
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1 |
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Current SDK version is 0.15.7
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from /content/kohya-trainer/wandb/settings
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5 |
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'root_dir': '/content/LoRA/logs/20240516060001'}
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-05-16 06:00:56,276 INFO MainThread:21927 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'sdxl_train_network.py', 'program': '/content/kohya-trainer/sdxl_train_network.py'}
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8 |
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:_log_setup():507] Logging user logs to /content/LoRA/logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug.log
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9 |
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:_log_setup():508] Logging internal logs to /content/LoRA/logs/20240516060001/wandb/run-20240516_060056-zh5mgdky/logs/debug-internal.log
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():547] calling init triggers
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
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config: {}
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2024-05-16 06:00:56,277 INFO MainThread:21927 [wandb_init.py:init():596] starting backend
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2024-05-16 06:00:56,278 INFO MainThread:21927 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-16 06:00:56,282 INFO MainThread:21927 [wandb_init.py:init():697] updated telemetry
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2024-05-16 06:00:56,488 INFO MainThread:21927 [wandb_run.py:_on_init():2174] communicating current version
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2024-05-16 06:00:56,619 INFO MainThread:21927 [wandb_run.py:_on_init():2183] got version response upgrade_message: "wandb version 0.17.0 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-05-16 06:00:56,619 INFO MainThread:21927 [wandb_init.py:init():781] starting run threads in backend
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_console_start():2153] atexit reg
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2008] redirect: wrap_raw
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2073] Wrapping output streams.
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2024-05-16 06:00:56,667 INFO MainThread:21927 [wandb_run.py:_redirect():2098] Redirects installed.
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2024-05-16 06:00:56,668 INFO MainThread:21927 [wandb_init.py:init():822] run started, returning control to user process
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2024-05-16 06:30:01,918 WARNING MsgRouterThr:21927 [router.py:message_loop():77] message_loop has been closed
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Current SDK version is 0.15.7
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Configure stats pid to 30769
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Loading settings from /content/kohya-trainer/wandb/settings
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'root_dir': '/content/LoRA/logs/20240516063358'}
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': 'sdxl_train_network.py', 'program': '/content/kohya-trainer/sdxl_train_network.py'}
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2024-05-16 06:34:53,375 INFO MainThread:30769 [wandb_init.py:_log_setup():507] Logging user logs to /content/LoRA/logs/20240516063358/wandb/run-20240516_063453-bblu4s2h/logs/debug.log
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2024-05-16 06:34:53,376 INFO MainThread:30769 [wandb_init.py:_log_setup():508] Logging internal logs to /content/LoRA/logs/20240516063358/wandb/run-20240516_063453-bblu4s2h/logs/debug-internal.log
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2024-05-16 06:34:53,376 INFO MainThread:30769 [wandb_init.py:init():547] calling init triggers
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2024-05-16 06:34:53,376 INFO MainThread:30769 [wandb_init.py:init():554] wandb.init called with sweep_config: {}
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config: {}
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2024-05-16 06:34:53,376 INFO MainThread:30769 [wandb_init.py:init():596] starting backend
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2024-05-16 06:34:53,376 INFO MainThread:30769 [wandb_init.py:init():600] setting up manager
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2024-05-16 06:34:53,377 INFO MainThread:30769 [backend.py:_multiprocessing_setup():106] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-16 06:34:53,378 INFO MainThread:30769 [wandb_init.py:init():606] backend started and connected
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2024-05-16 06:34:53,380 INFO MainThread:30769 [wandb_init.py:init():697] updated telemetry
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2024-05-16 06:34:53,385 INFO MainThread:30769 [wandb_init.py:init():730] communicating run to backend with 60.0 second timeout
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2024-05-16 06:34:53,581 INFO MainThread:30769 [wandb_run.py:_on_init():2174] communicating current version
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2024-05-16 06:34:53,712 INFO MainThread:30769 [wandb_run.py:_on_init():2183] got version response upgrade_message: "wandb version 0.17.0 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-05-16 06:34:53,712 INFO MainThread:30769 [wandb_init.py:init():781] starting run threads in backend
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2024-05-16 06:34:53,761 INFO MainThread:30769 [wandb_run.py:_console_start():2153] atexit reg
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2024-05-16 06:34:53,761 INFO MainThread:30769 [wandb_run.py:_redirect():2008] redirect: wrap_raw
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2024-05-16 06:34:53,761 INFO MainThread:30769 [wandb_run.py:_redirect():2098] Redirects installed.
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2024-05-16 06:34:53,762 INFO MainThread:30769 [wandb_init.py:init():822] run started, returning control to user process
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2024-05-16 07:58:24,935 INFO MainThread:30769 [wandb_run.py:_finish():1888] finishing run factoryaiart/D-ART_XL-V2/bblu4s2h
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2024-05-16 07:58:24,935 INFO MainThread:30769 [wandb_run.py:_atexit_cleanup():2122] got exitcode: 0
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2024-05-16 07:58:24,936 INFO MainThread:30769 [wandb_run.py:_restore():2105] restore
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2024-05-16 07:58:24,936 INFO MainThread:30769 [wandb_run.py:_restore():2111] restore done
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2024-05-16 07:58:31,183 INFO MainThread:30769 [wandb_run.py:_footer_history_summary_info():3475] rendering history
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2024-05-16 07:58:31,184 INFO MainThread:30769 [wandb_run.py:_footer_history_summary_info():3507] rendering summary
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2024-05-16 07:58:31,188 INFO MainThread:30769 [wandb_run.py:_footer_sync_info():3434] logging synced files
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logs/20240516063358/wandb/run-20240516_063453-bblu4s2h/files/config.yaml
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wandb_version: 1
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_wandb:
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desc: null
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value:
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framework: huggingface
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huggingface_version: 4.30.2
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