diff --git "a/logs/0_log.txt" "b/logs/0_log.txt"
new file mode 100644--- /dev/null
+++ "b/logs/0_log.txt"
@@ -0,0 +1,2359 @@
+Running 1 job
+{
+    "type": "ui_trainer",
+    "training_folder": "/home/featurize/ai-toolkit/output",
+    "sqlite_db_path": "/home/featurize/ai-toolkit/aitk_db.db",
+    "device": "cuda",
+    "trigger_word": null,
+    "performance_log_every": 10,
+    "network": {
+        "type": "lora",
+        "linear": 32,
+        "linear_alpha": 32,
+        "conv": 16,
+        "conv_alpha": 16,
+        "lokr_full_rank": true,
+        "lokr_factor": -1,
+        "network_kwargs": {
+            "ignore_if_contains": []
+        }
+    },
+    "save": {
+        "dtype": "bf16",
+        "save_every": 250,
+        "max_step_saves_to_keep": 4000,
+        "save_format": "diffusers",
+        "push_to_hub": false
+    },
+    "datasets": [
+        {
+            "folder_path": "/home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned",
+            "control_path": null,
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.05,
+            "cache_latents_to_disk": false,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+                512,
+                768,
+                1024
+            ],
+            "controls": [],
+            "shrink_video_to_frames": true,
+            "num_frames": 1,
+            "do_i2v": true,
+            "flip_x": false,
+            "flip_y": false
+        }
+    ],
+    "train": {
+        "batch_size": 1,
+        "bypass_guidance_embedding": false,
+        "steps": 30000,
+        "gradient_accumulation": 1,
+        "train_unet": true,
+        "train_text_encoder": false,
+        "gradient_checkpointing": true,
+        "noise_scheduler": "flowmatch",
+        "optimizer": "adamw8bit",
+        "timestep_type": "sigmoid",
+        "content_or_style": "balanced",
+        "optimizer_params": {
+            "weight_decay": 0.0001
+        },
+        "unload_text_encoder": false,
+        "cache_text_embeddings": true,
+        "lr": 0.0001,
+        "ema_config": {
+            "use_ema": false,
+            "ema_decay": 0.99
+        },
+        "skip_first_sample": false,
+        "force_first_sample": false,
+        "disable_sampling": false,
+        "dtype": "bf16",
+        "diff_output_preservation": false,
+        "diff_output_preservation_multiplier": 1,
+        "diff_output_preservation_class": "person",
+        "switch_boundary_every": 1
+    },
+    "model": {
+        "name_or_path": "black-forest-labs/FLUX.1-dev",
+        "quantize": true,
+        "qtype": "qfloat8",
+        "quantize_te": true,
+        "qtype_te": "qfloat8",
+        "arch": "flux",
+        "low_vram": false,
+        "model_kwargs": {}
+    },
+    "sample": {
+        "sampler": "flowmatch",
+        "sample_every": 250,
+        "width": 1024,
+        "height": 1024,
+        "samples": [
+            {
+                "prompt": "Wang Xiang , Photograph of a young Asian male with fair skin and black, slightly tousled hair. He has a slender build and is wearing a dark blue hooded sweatshirt with large white letters \"KE\" on the chest. His hands are crossed and resting on a white horizontal bar in front of him. He has a soft, neutral expression with slightly parted lips and dark brown eyes. The background is a bright, overexposed window, creating a stark contrast with his dark clothing. The image has a soft, natural light and a slightly grainy texture."
+            }
+        ],
+        "neg": "",
+        "seed": 42,
+        "walk_seed": true,
+        "guidance_scale": 4,
+        "sample_steps": 25,
+        "num_frames": 1,
+        "fps": 1
+    }
+}
+Using SQLite database at /home/featurize/ai-toolkit/aitk_db.db
+Job ID: "7df47ed8-0cea-4baf-80d0-f5dcea074624"
+
+#############################################
+# Running job: Flux_Xiang_lora
+#############################################
+
+
+Running  1 process
+Loading Flux model
+Loading transformer
+
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transformer/diffusion_pytorch_model-0000(…):  16%|#######8                                        | 1.64G/9.98G [00:59<03:59, 34.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  16%|#######8                                        | 1.64G/9.98G [00:59<03:59, 34.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  17%|########2                                       | 1.72G/9.98G [01:01<03:17, 41.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  17%|########2                                       | 1.72G/9.98G [01:01<03:17, 41.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  22%|##########6                                     | 2.21G/9.95G [01:01<06:27, 20.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  22%|##########6                                     | 2.21G/9.95G [01:01<06:27, 20.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  30%|##############4                                 | 1.17G/3.87G [01:02<02:07, 21.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  30%|##############4                                 | 1.17G/3.87G [01:02<02:07, 21.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  19%|########9                                       | 1.85G/9.98G [01:02<02:10, 62.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  19%|########9                                       | 1.85G/9.98G [01:02<02:10, 62.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 1.23G/3.87G [01:03<01:36, 27.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 1.23G/3.87G [01:03<01:36, 27.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  19%|#########                                       | 1.87G/9.98G [01:03<02:49, 47.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  19%|#########                                       | 1.87G/9.98G [01:03<02:49, 47.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  23%|##########9                                     | 2.28G/9.95G [01:03<05:09, 24.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  23%|##########9                                     | 2.28G/9.95G [01:03<05:09, 24.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  19%|#########                                       | 1.89G/9.98G [01:03<02:37, 51.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  19%|#########                                       | 1.89G/9.98G [01:03<02:37, 51.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  34%|################1                               | 1.31G/3.87G [01:04<01:10, 36.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  34%|################1                               | 1.31G/3.87G [01:04<01:10, 36.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  20%|#########7                                      | 2.03G/9.98G [01:04<01:36, 82.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  20%|#########7                                      | 2.03G/9.98G [01:04<01:36, 82.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  23%|###########                                     | 2.29G/9.95G [01:05<05:44, 22.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  23%|###########                                     | 2.29G/9.95G [01:05<05:44, 22.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  35%|################7                               | 1.35G/3.87G [01:05<00:59, 42.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  35%|################7                               | 1.35G/3.87G [01:05<00:59, 42.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  24%|###########3                                    | 2.36G/9.95G [01:05<03:40, 34.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  24%|###########3                                    | 2.36G/9.95G [01:05<03:40, 34.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  36%|#################4                              | 1.41G/3.87G [01:06<01:02, 39.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  36%|#################4                              | 1.41G/3.87G [01:06<01:02, 39.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  21%|##########1                                     | 2.10G/9.98G [01:06<02:20, 56.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  21%|##########1                                     | 2.10G/9.98G [01:06<02:20, 56.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  24%|###########4                                    | 2.37G/9.95G [01:07<04:55, 25.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  24%|###########4                                    | 2.37G/9.95G [01:07<04:55, 25.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  37%|#################7                              | 1.43G/3.87G [01:07<01:03, 38.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  37%|#################7                              | 1.43G/3.87G [01:07<01:03, 38.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  37%|#################9                              | 1.45G/3.87G [01:08<01:23, 28.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  37%|#################9                              | 1.45G/3.87G [01:08<01:23, 28.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  21%|##########1                                     | 2.12G/9.98G [01:09<04:04, 32.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  21%|##########1                                     | 2.12G/9.98G [01:09<04:04, 32.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  24%|###########5                                    | 2.40G/9.95G [01:10<07:06, 17.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  22%|##########4                                     | 2.18G/9.98G [01:10<03:30, 37.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  24%|###########6                                    | 2.42G/9.95G [01:10<06:15, 20.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  24%|###########6                                    | 2.42G/9.95G [01:10<06:15, 20.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  41%|###################6                            | 1.58G/3.87G [01:10<00:50, 45.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  41%|###################6                            | 1.58G/3.87G [01:10<00:50, 45.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  22%|##########5                                     | 2.20G/9.98G [01:10<03:16, 39.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  25%|############                                    | 2.49G/9.95G [01:11<03:56, 31.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  41%|###################8                            | 1.60G/3.87G [01:11<00:58, 38.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  26%|############3                                   | 2.56G/9.95G [01:11<02:35, 47.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  42%|####################3                           | 1.64G/3.87G [01:12<00:57, 39.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  44%|#####################1                          | 1.70G/3.87G [01:13<00:38, 55.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  22%|##########7                                     | 2.23G/9.98G [01:13<04:28, 28.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  27%|############8                                   | 2.66G/9.95G [01:13<02:20, 52.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  46%|######################2                         | 1.79G/3.87G [01:14<00:35, 59.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  27%|#############1                                  | 2.73G/9.95G [01:14<02:03, 58.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  47%|######################4                         | 1.81G/3.87G [01:15<00:42, 48.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  28%|#############5                                  | 2.81G/9.95G [01:15<02:02, 58.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  49%|#######################3                        | 1.88G/3.87G [01:15<00:33, 60.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  28%|#############4                                  | 2.79G/9.98G [01:26<01:58, 60.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  28%|#############4                                  | 2.79G/9.98G [01:26<01:58, 60.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.18G/9.95G [01:26<03:45, 30.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.18G/9.95G [01:26<03:45, 30.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  59%|############################4                   | 2.29G/3.87G [01:26<00:45, 34.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  59%|############################4                   | 2.29G/3.87G [01:26<00:45, 34.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############4                                | 3.21G/9.95G [01:27<04:03, 27.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############4                                | 3.21G/9.95G [01:27<04:03, 27.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############5                                | 3.22G/9.95G [01:27<03:43, 30.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############5                                | 3.22G/9.95G [01:27<03:43, 30.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  28%|#############5                                  | 2.81G/9.98G [01:29<04:39, 25.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  28%|#############5                                  | 2.81G/9.98G [01:29<04:39, 25.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  33%|###############7                                | 3.26G/9.95G [01:29<04:30, 24.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  33%|###############7                                | 3.26G/9.95G [01:29<04:30, 24.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  60%|############################6                   | 2.31G/3.87G [01:29<01:29, 17.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  60%|############################6                   | 2.31G/3.87G [01:29<01:29, 17.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  33%|###############8                                | 3.29G/9.95G [01:29<03:16, 33.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  33%|###############8                                | 3.29G/9.95G [01:29<03:16, 33.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  60%|############################8                   | 2.33G/3.87G [01:31<01:34, 16.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  60%|############################8                   | 2.33G/3.87G [01:31<01:34, 16.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  60%|############################9                   | 2.34G/3.87G [01:31<01:28, 17.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  60%|############################9                   | 2.34G/3.87G [01:31<01:28, 17.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  28%|#############5                                  | 2.83G/9.98G [01:32<07:06, 16.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  28%|#############5                                  | 2.83G/9.98G [01:32<07:06, 16.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  29%|##############                                  | 2.92G/9.98G [01:33<04:11, 28.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  29%|##############                                  | 2.92G/9.98G [01:33<04:11, 28.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  34%|################2                               | 3.38G/9.95G [01:33<04:26, 24.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  34%|################2                               | 3.38G/9.95G [01:33<04:26, 24.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  61%|#############################4                  | 2.38G/3.87G [01:34<01:31, 16.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  61%|#############################4                  | 2.38G/3.87G [01:34<01:31, 16.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  30%|##############4                                 | 3.00G/9.98G [01:35<03:08, 37.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  30%|##############4                                 | 3.00G/9.98G [01:35<03:08, 37.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  34%|################3                               | 3.39G/9.95G [01:35<05:05, 21.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  34%|################3                               | 3.39G/9.95G [01:35<05:05, 21.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  31%|##############7                                 | 3.07G/9.98G [01:35<02:18, 50.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  31%|##############7                                 | 3.07G/9.98G [01:35<02:18, 50.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  62%|#############################6                  | 2.39G/3.87G [01:36<02:05, 11.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  62%|#############################6                  | 2.39G/3.87G [01:36<02:05, 11.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  31%|##############9                                 | 3.10G/9.98G [01:36<02:33, 44.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  31%|##############9                                 | 3.10G/9.98G [01:36<02:33, 44.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  34%|################3                               | 3.40G/9.95G [01:36<06:16, 17.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  34%|################3                               | 3.40G/9.95G [01:36<06:16, 17.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  62%|#############################7                  | 2.40G/3.87G [01:36<02:00, 12.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  62%|#############################7                  | 2.40G/3.87G [01:36<02:00, 12.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.19G/9.98G [01:37<01:38, 68.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.19G/9.98G [01:37<01:38, 68.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  62%|#############################9                  | 2.41G/3.87G [01:37<01:32, 15.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  62%|#############################9                  | 2.41G/3.87G [01:37<01:32, 15.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  35%|################5                               | 3.44G/9.95G [01:38<05:11, 20.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  35%|################5                               | 3.44G/9.95G [01:38<05:11, 20.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  35%|################9                               | 3.51G/9.95G [01:38<02:53, 37.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  35%|################9                               | 3.51G/9.95G [01:38<02:53, 37.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  37%|#################5                              | 3.63G/9.95G [01:39<01:59, 53.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  37%|#################5                              | 3.63G/9.95G [01:39<01:59, 53.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  63%|##############################1                 | 2.43G/3.87G [01:39<02:16, 10.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  63%|##############################1                 | 2.43G/3.87G [01:39<02:16, 10.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  37%|#################8                              | 3.70G/9.95G [01:40<01:27, 71.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  37%|#################8                              | 3.70G/9.95G [01:40<01:27, 71.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  37%|#################9                              | 3.72G/9.95G [01:40<01:41, 61.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  37%|#################9                              | 3.72G/9.95G [01:40<01:41, 61.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  64%|##############################4                 | 2.46G/3.87G [01:41<01:43, 13.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  64%|##############################4                 | 2.46G/3.87G [01:41<01:43, 13.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################                              | 3.74G/9.95G [01:41<01:55, 53.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################                              | 3.74G/9.95G [01:41<01:55, 53.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  65%|##############################9                 | 2.50G/3.87G [01:41<01:00, 22.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  65%|##############################9                 | 2.50G/3.87G [01:41<01:00, 22.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  68%|################################5               | 2.62G/3.87G [01:42<00:26, 47.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  68%|################################5               | 2.62G/3.87G [01:42<00:26, 47.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################1                             | 3.77G/9.95G [01:43<02:43, 37.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################1                             | 3.77G/9.95G [01:43<02:43, 37.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  68%|################################7               | 2.64G/3.87G [01:43<00:23, 51.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  68%|################################7               | 2.64G/3.87G [01:43<00:23, 51.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  69%|################################9               | 2.66G/3.87G [01:43<00:21, 55.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  69%|################################9               | 2.66G/3.87G [01:43<00:21, 55.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  70%|#################################3              | 2.69G/3.87G [01:44<00:28, 41.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  70%|#################################3              | 2.69G/3.87G [01:44<00:28, 41.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################2                             | 3.79G/9.95G [01:44<03:47, 27.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################2                             | 3.79G/9.95G [01:44<03:47, 27.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################3                             | 3.81G/9.95G [01:44<03:10, 32.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################3                             | 3.81G/9.95G [01:44<03:10, 32.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  71%|##################################2             | 2.76G/3.87G [01:46<00:26, 42.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  71%|##################################2             | 2.76G/3.87G [01:46<00:26, 42.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  72%|##################################3             | 2.77G/3.87G [01:47<00:37, 29.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  72%|##################################3             | 2.77G/3.87G [01:47<00:37, 29.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.19G/9.98G [01:47<01:38, 68.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  32%|###############3                                | 3.19G/9.98G [01:47<01:38, 68.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################4                             | 3.83G/9.95G [01:47<05:44, 17.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################4                             | 3.83G/9.95G [01:47<05:44, 17.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  75%|####################################            | 2.90G/3.87G [01:47<00:14, 68.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  75%|####################################            | 2.90G/3.87G [01:47<00:14, 68.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################5                             | 3.84G/9.95G [01:48<05:19, 19.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################5                             | 3.84G/9.95G [01:48<05:19, 19.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  75%|####################################1           | 2.92G/3.87G [01:48<00:18, 52.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################6                             | 3.86G/9.95G [01:48<04:51, 20.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|##################9                             | 3.93G/9.95G [01:50<03:18, 30.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################                             | 3.95G/9.95G [01:51<03:55, 25.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################3                            | 4.01G/9.95G [01:51<02:05, 47.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  41%|###################7                            | 4.09G/9.95G [01:53<02:20, 41.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  42%|####################1                           | 4.17G/9.95G [01:58<04:34, 21.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  33%|###############6                                | 3.26G/9.98G [02:03<14:33, 7.70MB/s]
transformer/diffusion_pytorch_model-0000(…):  33%|###############6                                | 3.26G/9.98G [02:03<14:33, 7.70MB/s]
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transformer/diffusion_pytorch_model-0000(…):  45%|#####################5                          | 4.46G/9.95G [02:03<02:06, 43.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  45%|#####################5                          | 4.46G/9.95G [02:03<02:06, 43.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  45%|#####################6                          | 4.48G/9.95G [02:05<02:48, 32.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  45%|#####################6                          | 4.48G/9.95G [02:05<02:48, 32.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  45%|#####################7                          | 4.51G/9.95G [02:05<02:34, 35.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  45%|#####################7                          | 4.51G/9.95G [02:05<02:34, 35.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  46%|######################                          | 4.57G/9.95G [02:06<01:51, 48.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  46%|######################                          | 4.57G/9.95G [02:06<01:51, 48.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  46%|######################2                         | 4.61G/9.95G [02:07<01:45, 50.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  46%|######################2                         | 4.61G/9.95G [02:07<01:45, 50.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  47%|######################7                         | 4.71G/9.95G [02:07<01:09, 76.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  47%|######################7                         | 4.71G/9.95G [02:07<01:09, 76.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  94%|#############################################3  | 3.65G/3.87G [02:08<00:07, 29.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  94%|#############################################3  | 3.65G/3.87G [02:08<00:07, 29.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  48%|#######################                         | 4.77G/9.95G [02:08<01:10, 73.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  48%|#######################                         | 4.77G/9.95G [02:08<01:10, 73.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  48%|#######################1                        | 4.79G/9.95G [02:09<01:26, 59.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  48%|#######################1                        | 4.79G/9.95G [02:09<01:26, 59.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  49%|#######################4                        | 4.85G/9.95G [02:09<01:01, 83.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  49%|#######################4                        | 4.85G/9.95G [02:09<01:01, 83.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  95%|#############################################6  | 3.68G/3.87G [02:10<00:06, 28.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  95%|#############################################6  | 3.68G/3.87G [02:10<00:06, 28.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  49%|#######################5                        | 4.89G/9.95G [02:10<01:01, 82.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  49%|#######################5                        | 4.89G/9.95G [02:10<01:01, 82.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  50%|#######################8                        | 4.94G/9.95G [02:11<01:28, 56.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  50%|#######################8                        | 4.94G/9.95G [02:11<01:28, 56.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  51%|#########################                        | 5.09G/9.95G [02:11<00:42, 114MB/s]
transformer/diffusion_pytorch_model-0000(…):  51%|#########################                        | 5.09G/9.95G [02:11<00:42, 114MB/s]
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transformer/diffusion_pytorch_model-0000(…):  52%|########################7                       | 5.14G/9.95G [02:13<01:10, 68.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  52%|########################7                       | 5.14G/9.95G [02:13<01:10, 68.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  53%|#########################2                      | 5.23G/9.95G [02:14<00:57, 81.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  53%|#########################2                      | 5.23G/9.95G [02:14<00:57, 81.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  38%|##################4                             | 3.83G/9.98G [02:14<04:25, 23.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  38%|##################4                             | 3.83G/9.98G [02:14<04:25, 23.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  97%|##############################################4 | 3.75G/3.87G [02:14<00:05, 21.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  97%|##############################################4 | 3.75G/3.87G [02:14<00:05, 21.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  53%|#########################3                      | 5.26G/9.95G [02:15<01:07, 69.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  53%|#########################3                      | 5.26G/9.95G [02:15<01:07, 69.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  53%|#########################5                      | 5.29G/9.95G [02:15<01:11, 64.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  53%|#########################5                      | 5.29G/9.95G [02:15<01:11, 64.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  99%|###############################################3| 3.81G/3.87G [02:16<00:02, 25.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  99%|###############################################3| 3.81G/3.87G [02:16<00:02, 25.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################5                             | 3.85G/9.98G [02:16<04:36, 22.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################5                             | 3.85G/9.98G [02:16<04:36, 22.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################6                             | 3.87G/9.98G [02:17<04:30, 22.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################6                             | 3.87G/9.98G [02:17<04:30, 22.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.39G/9.95G [02:17<01:04, 70.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.39G/9.95G [02:17<01:04, 70.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  55%|###########################                      | 5.49G/9.95G [02:17<00:43, 103MB/s]
transformer/diffusion_pytorch_model-0000(…):  55%|###########################                      | 5.49G/9.95G [02:17<00:43, 103MB/s]
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transformer/diffusion_pytorch_model-0000(…): 100%|################################################| 3.87G/3.87G [02:17<00:00, 28.7MB/s]
transformer/diffusion_pytorch_model-0000(…): 100%|################################################| 3.87G/3.87G [02:17<00:00, 28.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################6                             | 3.88G/9.98G [02:17<04:33, 22.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################6                             | 3.88G/9.98G [02:17<04:33, 22.3MB/s]
transformer/diffusion_pytorch_model-0000(…): 100%|################################################| 3.87G/3.87G [02:17<00:00, 28.1MB/s]
transformer/diffusion_pytorch_model-0000(…): 100%|################################################| 3.87G/3.87G [02:17<00:00, 28.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  55%|##########################6                     | 5.52G/9.95G [02:18<00:53, 83.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  55%|##########################6                     | 5.52G/9.95G [02:18<00:53, 83.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################7                             | 3.91G/9.98G [02:18<04:23, 23.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################7                             | 3.91G/9.98G [02:18<04:23, 23.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################8                             | 3.93G/9.98G [02:18<04:06, 24.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################8                             | 3.93G/9.98G [02:18<04:06, 24.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  39%|##################9                             | 3.94G/9.98G [02:22<06:36, 15.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  39%|##################9                             | 3.94G/9.98G [02:22<06:36, 15.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################                             | 3.96G/9.98G [02:23<06:01, 16.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  40%|###################                             | 3.96G/9.98G [02:23<06:01, 16.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################1                            | 3.99G/9.98G [02:23<04:57, 20.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  40%|###################1                            | 3.99G/9.98G [02:23<04:57, 20.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################2                            | 4.00G/9.98G [02:25<05:23, 18.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  40%|###################2                            | 4.00G/9.98G [02:25<05:23, 18.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  56%|##########################6                     | 5.53G/9.95G [02:26<04:36, 16.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  56%|##########################6                     | 5.53G/9.95G [02:26<04:36, 16.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################2                            | 4.01G/9.98G [02:26<06:35, 15.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  40%|###################2                            | 4.01G/9.98G [02:26<06:35, 15.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  60%|############################9                   | 6.01G/9.95G [02:26<00:49, 79.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  60%|############################9                   | 6.01G/9.95G [02:26<00:49, 79.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  40%|###################3                            | 4.03G/9.98G [02:28<07:24, 13.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  40%|###################3                            | 4.03G/9.98G [02:28<07:24, 13.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  61%|#############################3                  | 6.08G/9.95G [02:28<00:53, 72.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  61%|#############################3                  | 6.08G/9.95G [02:28<00:53, 72.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  41%|###################5                            | 4.07G/9.98G [02:28<04:29, 21.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  41%|###################8                            | 4.12G/9.98G [02:29<03:08, 31.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  41%|###################8                            | 4.12G/9.98G [02:29<03:08, 31.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  42%|####################1                           | 4.20G/9.98G [02:31<02:34, 37.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  42%|####################1                           | 4.20G/9.98G [02:31<02:34, 37.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  62%|#############################6                  | 6.14G/9.95G [02:31<01:13, 51.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  62%|#############################6                  | 6.14G/9.95G [02:31<01:13, 51.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  42%|####################3                           | 4.23G/9.98G [02:31<02:18, 41.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  42%|####################3                           | 4.23G/9.98G [02:31<02:18, 41.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  43%|####################4                           | 4.25G/9.98G [02:33<03:15, 29.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  43%|####################4                           | 4.25G/9.98G [02:33<03:15, 29.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  44%|####################8                           | 4.35G/9.98G [02:33<01:37, 57.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  62%|#############################9                  | 6.21G/9.95G [02:33<01:26, 43.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  62%|#############################9                  | 6.21G/9.95G [02:33<01:26, 43.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  63%|##############################2                 | 6.27G/9.95G [02:34<01:08, 53.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  44%|#####################1                          | 4.40G/9.98G [02:34<01:56, 48.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  64%|##############################6                 | 6.35G/9.95G [02:36<01:19, 45.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  67%|################################1               | 6.67G/9.95G [02:41<00:52, 62.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  49%|#######################4                        | 4.87G/9.98G [02:42<01:10, 72.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  49%|#######################4                        | 4.87G/9.98G [02:42<01:10, 72.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  67%|################################2               | 6.68G/9.95G [02:42<01:22, 39.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  67%|################################2               | 6.68G/9.95G [02:42<01:22, 39.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  49%|#######################5                        | 4.89G/9.98G [02:43<01:05, 78.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  49%|#######################5                        | 4.89G/9.98G [02:43<01:05, 78.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  68%|################################5               | 6.75G/9.95G [02:43<01:07, 47.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  68%|################################5               | 6.75G/9.95G [02:43<01:07, 47.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  50%|#######################8                        | 4.96G/9.98G [02:44<01:24, 59.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  50%|#######################8                        | 4.96G/9.98G [02:44<01:24, 59.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  50%|#######################9                        | 4.97G/9.98G [02:45<01:39, 50.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  50%|#######################9                        | 4.97G/9.98G [02:45<01:39, 50.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  68%|################################7               | 6.79G/9.95G [02:45<01:20, 39.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  68%|################################7               | 6.79G/9.95G [02:45<01:20, 39.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  50%|#######################9                        | 4.99G/9.98G [02:45<01:42, 48.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  50%|#######################9                        | 4.99G/9.98G [02:45<01:42, 48.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  51%|########################4                       | 5.08G/9.98G [02:46<00:59, 81.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  51%|########################4                       | 5.08G/9.98G [02:46<00:59, 81.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  68%|################################8               | 6.81G/9.95G [02:46<01:34, 33.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  68%|################################8               | 6.81G/9.95G [02:46<01:34, 33.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  69%|################################9               | 6.83G/9.95G [02:46<01:24, 36.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  69%|################################9               | 6.83G/9.95G [02:46<01:24, 36.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  52%|########################7                       | 5.15G/9.98G [02:46<00:55, 86.2MB/s]
transformer/diffusion_pytorch_model-0000(…):  52%|########################7                       | 5.15G/9.98G [02:46<00:55, 86.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  52%|########################8                       | 5.17G/9.98G [02:47<01:08, 70.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  52%|########################8                       | 5.17G/9.98G [02:47<01:08, 70.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  69%|#################################               | 6.84G/9.95G [02:47<01:28, 35.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  69%|#################################               | 6.84G/9.95G [02:47<01:28, 35.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  52%|########################9                       | 5.19G/9.98G [02:47<01:14, 64.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  52%|########################9                       | 5.19G/9.98G [02:47<01:14, 64.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  69%|#################################3              | 6.91G/9.95G [02:48<01:01, 49.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  69%|#################################3              | 6.91G/9.95G [02:48<01:01, 49.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  52%|#########################                       | 5.21G/9.98G [02:48<01:36, 49.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  52%|#########################                       | 5.21G/9.98G [02:48<01:36, 49.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  71%|#################################8              | 7.02G/9.95G [02:48<00:37, 77.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  71%|#################################8              | 7.02G/9.95G [02:48<00:37, 77.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  53%|#########################3                      | 5.28G/9.98G [02:49<01:02, 75.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  53%|#########################3                      | 5.28G/9.98G [02:49<01:02, 75.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  71%|#################################9              | 7.04G/9.95G [02:49<00:42, 68.5MB/s]
transformer/diffusion_pytorch_model-0000(…):  71%|#################################9              | 7.04G/9.95G [02:49<00:42, 68.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  71%|##################################              | 7.06G/9.95G [02:49<00:46, 62.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  71%|##################################              | 7.06G/9.95G [02:49<00:46, 62.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  53%|#########################4                      | 5.30G/9.98G [02:51<02:14, 34.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  53%|#########################4                      | 5.30G/9.98G [02:51<02:14, 34.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  71%|##################################3             | 7.11G/9.95G [02:51<00:53, 52.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  71%|##################################3             | 7.11G/9.95G [02:51<00:53, 52.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  54%|#########################7                      | 5.36G/9.98G [02:51<01:20, 57.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  54%|#########################7                      | 5.36G/9.98G [02:51<01:20, 57.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.39G/9.98G [02:51<01:18, 58.4MB/s]
transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.39G/9.98G [02:51<01:18, 58.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  72%|##################################3             | 7.13G/9.95G [02:51<01:01, 46.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  72%|##################################3             | 7.13G/9.95G [02:51<01:01, 46.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  72%|##################################4             | 7.15G/9.95G [02:53<01:19, 35.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  72%|##################################4             | 7.15G/9.95G [02:53<01:19, 35.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.41G/9.98G [02:53<02:10, 35.1MB/s]
transformer/diffusion_pytorch_model-0000(…):  54%|#########################9                      | 5.41G/9.98G [02:53<02:10, 35.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  72%|##################################5             | 7.17G/9.95G [02:53<01:13, 38.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  72%|##################################5             | 7.17G/9.95G [02:53<01:13, 38.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  55%|##########################4                     | 5.51G/9.98G [02:53<01:02, 71.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  55%|##########################4                     | 5.51G/9.98G [02:53<01:02, 71.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  72%|##################################7             | 7.20G/9.95G [02:53<00:56, 48.7MB/s]
transformer/diffusion_pytorch_model-0000(…):  72%|##################################7             | 7.20G/9.95G [02:53<00:56, 48.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  55%|##########################5                     | 5.53G/9.98G [02:54<01:13, 60.5MB/s]
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transformer/diffusion_pytorch_model-0000(…):  73%|###################################             | 7.27G/9.95G [02:54<00:53, 49.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  73%|###################################             | 7.27G/9.95G [02:54<00:53, 49.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  56%|##########################7                     | 5.56G/9.98G [02:55<01:20, 54.8MB/s]
transformer/diffusion_pytorch_model-0000(…):  56%|##########################7                     | 5.56G/9.98G [02:55<01:20, 54.8MB/s]
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transformer/diffusion_pytorch_model-0000(…):  56%|###########################                     | 5.63G/9.98G [02:55<00:51, 85.3MB/s]
transformer/diffusion_pytorch_model-0000(…):  56%|###########################                     | 5.63G/9.98G [02:55<00:51, 85.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  73%|###################################1            | 7.29G/9.95G [02:56<01:12, 36.6MB/s]
transformer/diffusion_pytorch_model-0000(…):  73%|###################################1            | 7.29G/9.95G [02:56<01:12, 36.6MB/s]
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transformer/diffusion_pytorch_model-0000(…):  74%|###################################3            | 7.33G/9.95G [02:56<00:46, 56.2MB/s]
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transformer/diffusion_pytorch_model-0000(…):  57%|###########################2                    | 5.67G/9.98G [02:56<01:18, 54.9MB/s]
transformer/diffusion_pytorch_model-0000(…):  57%|###########################2                    | 5.67G/9.98G [02:56<01:18, 54.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  74%|###################################5            | 7.36G/9.95G [02:57<01:10, 36.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  57%|###########################4                    | 5.71G/9.98G [02:57<01:30, 47.0MB/s]
transformer/diffusion_pytorch_model-0000(…):  57%|###########################4                    | 5.71G/9.98G [02:57<01:30, 47.0MB/s]
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transformer/diffusion_pytorch_model-0000(…):  74%|###################################5            | 7.38G/9.95G [02:57<01:01, 41.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  58%|###########################7                    | 5.77G/9.98G [02:59<01:23, 50.3MB/s]
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transformer/diffusion_pytorch_model-0000(…):  74%|###################################7            | 7.41G/9.95G [02:59<01:09, 36.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  59%|############################                    | 5.84G/9.98G [03:00<01:31, 45.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  59%|############################3                   | 5.89G/9.98G [03:01<01:17, 53.1MB/s]
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transformer/diffusion_pytorch_model-0000(…):  60%|############################8                   | 5.99G/9.98G [03:01<00:43, 91.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  75%|###################################8            | 7.43G/9.95G [03:02<02:25, 17.4MB/s]
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transformer/diffusion_pytorch_model-0000(…):  75%|###################################9            | 7.45G/9.95G [03:02<01:55, 21.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  77%|####################################9           | 7.65G/9.95G [03:04<00:38, 59.9MB/s]
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transformer/diffusion_pytorch_model-0000(…):  63%|##############################1                 | 6.27G/9.98G [03:08<01:13, 50.7MB/s]
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transformer/diffusion_pytorch_model-0000(…):  67%|################################1               | 6.68G/9.98G [03:16<00:57, 57.7MB/s]
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+You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
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text_encoder_2/model-00001-of-00002.safe(…):  18%|########5                                        | 874M/4.99G [00:32<01:31, 45.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  18%|########5                                        | 874M/4.99G [00:32<01:31, 45.1MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  31%|###############2                                 | 1.41G/4.53G [00:32<00:19, 158MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  31%|###############2                                 | 1.41G/4.53G [00:32<00:19, 158MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  33%|###############9                                 | 1.48G/4.53G [00:33<00:26, 117MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  33%|###############9                                 | 1.48G/4.53G [00:33<00:26, 117MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  20%|#########6                                      | 1.01G/4.99G [00:33<01:11, 56.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  20%|#########6                                      | 1.01G/4.99G [00:33<01:11, 56.1MB/s]
+
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text_encoder_2/model-00001-of-00002.safe(…):  22%|##########3                                     | 1.08G/4.99G [00:35<01:19, 49.6MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  22%|##########3                                     | 1.08G/4.99G [00:35<01:19, 49.6MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  34%|################3                               | 1.55G/4.53G [00:35<00:41, 72.5MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  34%|################3                               | 1.55G/4.53G [00:35<00:41, 72.5MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  37%|#################8                              | 1.68G/4.53G [00:39<00:58, 48.8MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  37%|#################8                              | 1.68G/4.53G [00:39<00:58, 48.8MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  22%|##########6                                     | 1.11G/4.99G [00:40<02:18, 28.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  22%|##########6                                     | 1.11G/4.99G [00:40<02:18, 28.1MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  40%|###################2                            | 1.81G/4.53G [00:41<00:46, 58.3MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  40%|###################2                            | 1.81G/4.53G [00:41<00:46, 58.3MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  22%|##########7                                     | 1.12G/4.99G [00:42<02:59, 21.6MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  22%|##########7                                     | 1.12G/4.99G [00:42<02:59, 21.6MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  24%|###########4                                    | 1.19G/4.99G [00:48<03:56, 16.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  24%|###########4                                    | 1.19G/4.99G [00:48<03:56, 16.1MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  42%|###################9                            | 1.88G/4.53G [00:49<01:42, 25.8MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  42%|###################9                            | 1.88G/4.53G [00:49<01:42, 25.8MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  43%|####################6                           | 1.95G/4.53G [00:51<01:36, 26.7MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  43%|####################6                           | 1.95G/4.53G [00:51<01:36, 26.7MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  26%|############6                                   | 1.32G/4.99G [00:52<02:53, 21.2MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  26%|############6                                   | 1.32G/4.99G [00:52<02:53, 21.2MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  44%|#####################3                          | 2.02G/4.53G [00:52<01:22, 30.4MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  44%|#####################3                          | 2.02G/4.53G [00:52<01:22, 30.4MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  47%|######################7                         | 2.15G/4.53G [00:53<00:47, 50.3MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  47%|######################7                         | 2.15G/4.53G [00:53<00:47, 50.3MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  50%|########################1                       | 2.28G/4.53G [00:54<00:34, 64.9MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  50%|########################1                       | 2.28G/4.53G [00:54<00:34, 64.9MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  28%|#############3                                  | 1.38G/4.99G [00:54<02:27, 24.4MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  28%|#############3                                  | 1.38G/4.99G [00:54<02:27, 24.4MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  32%|###############2                                | 1.59G/4.99G [00:54<01:08, 50.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  32%|###############2                                | 1.59G/4.99G [00:54<01:08, 50.1MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  34%|################5                               | 1.72G/4.99G [00:55<00:51, 64.0MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  34%|################5                               | 1.72G/4.99G [00:55<00:51, 64.0MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  53%|#########################6                      | 2.42G/4.53G [00:55<00:28, 74.2MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  53%|#########################6                      | 2.42G/4.53G [00:55<00:28, 74.2MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  56%|###########################                     | 2.55G/4.53G [00:56<00:24, 80.7MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  56%|###########################                     | 2.55G/4.53G [00:56<00:24, 80.7MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  36%|#################1                              | 1.79G/4.99G [00:57<00:54, 58.4MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  36%|#################1                              | 1.79G/4.99G [00:57<00:54, 58.4MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  58%|###########################7                    | 2.62G/4.53G [00:57<00:20, 93.5MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  58%|###########################7                    | 2.62G/4.53G [00:57<00:20, 93.5MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  64%|###############################2                 | 2.89G/4.53G [00:57<00:11, 147MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  64%|###############################2                 | 2.89G/4.53G [00:57<00:11, 147MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  38%|##################4                             | 1.92G/4.99G [00:58<00:41, 73.8MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  38%|##################4                             | 1.92G/4.99G [00:58<00:41, 73.8MB/s]
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text_encoder_2/model-00001-of-00002.safe(���):  41%|###################7                            | 2.05G/4.99G [00:59<00:33, 89.1MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  41%|###################7                            | 2.05G/4.99G [00:59<00:33, 89.1MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  65%|###############################9                 | 2.95G/4.53G [00:59<00:13, 118MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  65%|###############################9                 | 2.95G/4.53G [00:59<00:13, 118MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  67%|################################6                | 3.02G/4.53G [01:00<00:14, 107MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  67%|################################6                | 3.02G/4.53G [01:00<00:14, 107MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  68%|#################################3               | 3.09G/4.53G [01:00<00:12, 115MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  68%|#################################3               | 3.09G/4.53G [01:00<00:12, 115MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  42%|####################3                           | 2.12G/4.99G [01:00<00:39, 72.5MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  42%|####################3                           | 2.12G/4.99G [01:00<00:39, 72.5MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  44%|#####################                           | 2.19G/4.99G [01:00<00:32, 86.7MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  44%|#####################                           | 2.19G/4.99G [01:00<00:32, 86.7MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  70%|#################################4              | 3.15G/4.53G [01:01<00:14, 96.6MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  70%|#################################4              | 3.15G/4.53G [01:01<00:14, 96.6MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  71%|##################################8              | 3.22G/4.53G [01:01<00:12, 109MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  71%|##################################8              | 3.22G/4.53G [01:01<00:12, 109MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  73%|##################################8             | 3.29G/4.53G [01:03<00:16, 75.9MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  73%|##################################8             | 3.29G/4.53G [01:03<00:16, 75.9MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  74%|###################################5            | 3.36G/4.53G [01:04<00:18, 64.7MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  74%|###################################5            | 3.36G/4.53G [01:04<00:18, 64.7MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  45%|#####################6                          | 2.26G/4.99G [01:05<01:06, 41.2MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  45%|#####################6                          | 2.26G/4.99G [01:05<01:06, 41.2MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  76%|####################################2           | 3.42G/4.53G [01:07<00:24, 45.1MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  76%|####################################2           | 3.42G/4.53G [01:07<00:24, 45.1MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  47%|######################3                         | 2.32G/4.99G [01:08<01:15, 35.3MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  47%|######################3                         | 2.32G/4.99G [01:08<01:15, 35.3MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  77%|####################################9           | 3.49G/4.53G [01:10<00:28, 36.9MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  77%|####################################9           | 3.49G/4.53G [01:10<00:28, 36.9MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  79%|#####################################6          | 3.56G/4.53G [01:13<00:34, 28.4MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  79%|#####################################6          | 3.56G/4.53G [01:13<00:34, 28.4MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  80%|######################################3         | 3.62G/4.53G [01:14<00:26, 34.6MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  80%|######################################3         | 3.62G/4.53G [01:14<00:26, 34.6MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  49%|#######################6                        | 2.46G/4.99G [01:15<01:38, 25.9MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  49%|#######################6                        | 2.46G/4.99G [01:15<01:38, 25.9MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  51%|########################2                       | 2.52G/4.99G [01:15<01:15, 32.9MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  51%|########################2                       | 2.52G/4.99G [01:15<01:15, 32.9MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  52%|########################9                       | 2.59G/4.99G [01:15<00:59, 40.2MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  52%|########################9                       | 2.59G/4.99G [01:15<00:59, 40.2MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  81%|#######################################1        | 3.69G/4.53G [01:15<00:20, 40.2MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  81%|#######################################1        | 3.69G/4.53G [01:15<00:20, 40.2MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  82%|#######################################4        | 3.73G/4.53G [01:16<00:17, 46.2MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  82%|#######################################4        | 3.73G/4.53G [01:16<00:17, 46.2MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  56%|##########################8                     | 2.79G/4.99G [01:18<00:41, 52.9MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  59%|############################1                   | 2.93G/4.99G [01:20<00:28, 72.5MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  59%|############################1                   | 2.93G/4.99G [01:20<00:28, 72.5MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  87%|#########################################6      | 3.93G/4.53G [01:20<00:11, 51.4MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  87%|#########################################6      | 3.93G/4.53G [01:20<00:11, 51.4MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  88%|##########################################3     | 3.99G/4.53G [01:20<00:08, 66.2MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  62%|##############################6                  | 3.12G/4.99G [01:20<00:15, 123MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  62%|##############################6                  | 3.12G/4.99G [01:20<00:15, 123MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  91%|###########################################7    | 4.13G/4.53G [01:21<00:04, 81.9MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  91%|###########################################7    | 4.13G/4.53G [01:21<00:04, 81.9MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  93%|############################################4   | 4.19G/4.53G [01:22<00:04, 78.0MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  66%|################################5                | 3.32G/4.99G [01:23<00:16, 101MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  94%|#############################################1  | 4.26G/4.53G [01:23<00:03, 71.6MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  94%|#############################################1  | 4.26G/4.53G [01:23<00:03, 71.6MB/s]
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text_encoder_2/model-00001-of-00002.safe(…):  71%|##################################5              | 3.52G/4.99G [01:24<00:09, 149MB/s]
text_encoder_2/model-00001-of-00002.safe(…):  71%|##################################5              | 3.52G/4.99G [01:24<00:09, 149MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  96%|#############################################8  | 4.33G/4.53G [01:24<00:02, 79.4MB/s]
text_encoder_2/model-00002-of-00002.safe(…):  96%|#############################################8  | 4.33G/4.53G [01:24<00:02, 79.4MB/s]
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text_encoder_2/model-00002-of-00002.safe(…):  97%|###############################################5 | 4.40G/4.53G [01:24<00:01, 101MB/s]
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Fetching 2 files:  50%|#########################################                                         | 1/2 [01:35<01:35, 95.99s/it]
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+Quantizing T5
+Loading CLIP
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+
+Making pipe
+Preparing Model
+create LoRA network. base dim (rank): 32, alpha: 32
+neuron dropout: p=None, rank dropout: p=None, module dropout: p=None
+apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16
+create LoRA for Text Encoder: 0 modules.
+create LoRA for U-Net: 494 modules.
+enable LoRA for U-Net
+Dataset: /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+  -  Preprocessing image dimensions
+
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+
+  -  Found 193 images
+Bucket sizes for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned:
+512x512: 193 files
+1 buckets made
+Caching text_embeddings for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+ - Saving text embeddings to disk
+
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+
+Dataset: /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+  -  Preprocessing image dimensions
+
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+
+  -  Found 193 images
+Bucket sizes for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned:
+768x768: 193 files
+1 buckets made
+Caching text_embeddings for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+ - Saving text embeddings to disk
+
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+
+Dataset: /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+  -  Preprocessing image dimensions
+
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+
+  -  Found 193 images
+Bucket sizes for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned:
+1024x1024: 193 files
+1 buckets made
+Caching text_embeddings for /home/featurize/ai-toolkit/datasets/Xiang_Handsome_Flux_SRPO_Keye_EN_Captioned
+ - Saving text embeddings to disk
+
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+
+
+***** UNLOADING TEXT ENCODER *****
+Embeddings cached to disk. We dont need the text encoder anymore
+***********************************
+
+Generating baseline samples before training
+Error running job: 'FakeTextEncoder' object has no attribute 'encoder'
+
+========================================
+Result:
+ - 0 completed jobs
+ - 1 failure
+========================================
+Traceback (most recent call last):
+Traceback (most recent call last):
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 2904, in save_device_state
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 2904, in save_device_state
+        te_has_grad = encoder.text_model.final_layer_norm.weight.requires_gradte_has_grad = encoder.text_model.final_layer_norm.weight.requires_grad
+
+                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1940, in __getattr__
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1940, in __getattr__
+        raise AttributeError(raise AttributeError(
+
+AttributeErrorAttributeError: : 'FakeTextEncoder' object has no attribute 'text_model''FakeTextEncoder' object has no attribute 'text_model'
+
+
+
+During handling of the above exception, another exception occurred:
+During handling of the above exception, another exception occurred:
+
+
+Traceback (most recent call last):
+Traceback (most recent call last):
+  File "/home/featurize/ai-toolkit/run.py", line 120, in <module>
+  File "/home/featurize/ai-toolkit/run.py", line 120, in <module>
+        main()main()
+
+  File "/home/featurize/ai-toolkit/run.py", line 108, in main
+  File "/home/featurize/ai-toolkit/run.py", line 108, in main
+        raise eraise e
+
+  File "/home/featurize/ai-toolkit/run.py", line 96, in main
+  File "/home/featurize/ai-toolkit/run.py", line 96, in main
+        job.run()job.run()
+
+  File "/home/featurize/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+  File "/home/featurize/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+        process.run()process.run()
+
+  File "/home/featurize/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 1990, in run
+  File "/home/featurize/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 1990, in run
+        self.sample(self.step_num)self.sample(self.step_num)
+
+  File "/home/featurize/ai-toolkit/extensions_built_in/sd_trainer/UITrainer.py", line 270, in sample
+  File "/home/featurize/ai-toolkit/extensions_built_in/sd_trainer/UITrainer.py", line 270, in sample
+        super().sample(step, is_first)super().sample(step, is_first)
+
+  File "/home/featurize/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 363, in sample
+  File "/home/featurize/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 363, in sample
+        self.sd.generate_images(gen_img_config_list, sampler=sample_config.sampler)self.sd.generate_images(gen_img_config_list, sampler=sample_config.sampler)
+
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
+        return func(*args, **kwargs)return func(*args, **kwargs)
+
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 1156, in generate_images
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 1156, in generate_images
+        self.save_device_state()self.save_device_state()
+
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 2906, in save_device_state
+  File "/home/featurize/ai-toolkit/toolkit/stable_diffusion_model.py", line 2906, in save_device_state
+        te_has_grad = encoder.encoder.block[0].layer[0].SelfAttention.q.weight.requires_gradte_has_grad = encoder.encoder.block[0].layer[0].SelfAttention.q.weight.requires_grad
+
+                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1940, in __getattr__
+  File "/environment/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1940, in __getattr__
+        raise AttributeError(raise AttributeError(
+
+AttributeErrorAttributeError: : 'FakeTextEncoder' object has no attribute 'encoder''FakeTextEncoder' object has no attribute 'encoder'
+