Upload folder using huggingface_hub

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@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 loss_log.db filter=lfs diff=lfs merge=lfs -text
 loss_log.db-wal filter=lfs diff=lfs merge=lfs -text
 EMIRU_PLORA-LTX2_V3_copy/loss_log.db filter=lfs diff=lfs merge=lfs -text
+PLORA-LTX2_V3/loss_log.db filter=lfs diff=lfs merge=lfs -text

PLORA-LTX2_V3/.huggingfaceignore

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+    "train": {
+        "batch_size": 1,
+        "bypass_guidance_embedding": false,
+        "steps": 15000,
+        "gradient_accumulation": 1,
+        "train_unet": true,
+        "train_text_encoder": false,
+        "gradient_checkpointing": true,
+        "noise_scheduler": "flowmatch",
+        "optimizer": "adamw8bit",
+        "timestep_type": "weighted",
+        "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": true,
+        "dtype": "bf16",
+        "diff_output_preservation": false,
+        "diff_output_preservation_multiplier": 1,
+        "diff_output_preservation_class": "person",
+        "switch_boundary_every": 1,
+        "loss_type": "mse"
+    },
+    "logging": {
+        "log_every": 1,
+        "use_ui_logger": true
+    },
+    "model": {
+        "name_or_path": "Lightricks/LTX-2",
+        "quantize": true,
+        "qtype": "qfloat8",
+        "quantize_te": true,
+        "qtype_te": "uint4",
+        "arch": "ltx2",
+        "low_vram": true,
+        "model_kwargs": {},
+        "layer_offloading": false,
+        "layer_offloading_text_encoder_percent": 1,
+        "layer_offloading_transformer_percent": 1
+    },
+    "sample": {
+        "sampler": "flowmatch",
+        "sample_every": 250,
+        "width": 768,
+        "height": 768,
+        "samples": [],
+        "neg": "",
+        "seed": 42,
+        "walk_seed": true,
+        "guidance_scale": 4,
+        "sample_steps": 25,
+        "num_frames": 121,
+        "fps": 24
+    }
+}
+Changing sample extention to animated webp
+Using SQLite database at /app/ai-toolkit/aitk_db.db
+Job ID: "be950c26-2bba-4c74-8435-7f7cfde1757c"
+
+#############################################
+# Running job: PLORA-LTX2_V3
+#############################################
+
+
+Running  1 process
+Loading LTX2 model
+Loading transformer
+
+
+Quantizing Transformer
+ - quantizing 48 transformer blocks
+
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+
+ - quantizing extras
+Moving transformer to CPU
+Loading text encoder
+
+
+Quantizing Text Encoder
+Loading VAEs and other components
+Making pipe
+Preparing Model
+Model Loaded
+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: 1344 modules.
+enable LoRA for U-Net
+#### IMPORTANT RESUMING FROM /app/ai-toolkit/output/PLORA-LTX2_V3/PLORA-LTX2_V3_000009000.safetensors ####
+Loading from /app/ai-toolkit/output/PLORA-LTX2_V3/PLORA-LTX2_V3_000009000.safetensors
+Missing keys: []
+Found step 9000 in metadata, starting from there
+Loading optimizer state from /app/ai-toolkit/output/PLORA-LTX2_V3/optimizer.pt
+Updating optimizer LR from params
+Dataset: /app/ai-toolkit/datasets/41
+  -  Preprocessing video dimensions
+
  0%|          | 0/4 [00:00<?, ?it/s]
  0%|          | 0/4 [00:00<?, ?it/s]
+
+  -  Found 4 videos
+Bucket sizes for /app/ai-toolkit/datasets/41:
+576x416: 3 files
+576x448: 1 files
+2 buckets made
+Caching latents for /app/ai-toolkit/datasets/41
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/41
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/41
+  -  Preprocessing video dimensions
+
  0%|          | 0/4 [00:00<?, ?it/s]
  0%|          | 0/4 [00:00<?, ?it/s]
+
+  -  Found 4 videos
+Bucket sizes for /app/ai-toolkit/datasets/41:
+864x672: 4 files
+1 buckets made
+Caching latents for /app/ai-toolkit/datasets/41
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/41
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/65
+  -  Preprocessing video dimensions
+
  0%|          | 0/37 [00:00<?, ?it/s]
  0%|          | 0/37 [00:00<?, ?it/s]
+
+  -  Found 37 videos
+Bucket sizes for /app/ai-toolkit/datasets/65:
+576x416: 28 files
+576x448: 3 files
+384x672: 6 files
+3 buckets made
+Caching latents for /app/ai-toolkit/datasets/65
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/65
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/65
+  -  Preprocessing video dimensions
+
  0%|          | 0/37 [00:00<?, ?it/s]
  0%|          | 0/37 [00:00<?, ?it/s]
+
+  -  Found 37 videos
+Bucket sizes for /app/ai-toolkit/datasets/65:
+864x672: 28 files
+608x448: 1 files
+736x544: 1 files
+832x640: 1 files
+576x992: 6 files
+5 buckets made
+Caching latents for /app/ai-toolkit/datasets/65
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/65
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/73
+  -  Preprocessing video dimensions
+
  0%|          | 0/25 [00:00<?, ?it/s]
  0%|          | 0/25 [00:00<?, ?it/s]
+
+  -  Found 25 videos
+Bucket sizes for /app/ai-toolkit/datasets/73:
+576x416: 25 files
+1 buckets made
+Caching latents for /app/ai-toolkit/datasets/73
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/73
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/73
+  -  Preprocessing video dimensions
+
  0%|          | 0/25 [00:00<?, ?it/s]
  0%|          | 0/25 [00:00<?, ?it/s]
+
+  -  Found 25 videos
+Bucket sizes for /app/ai-toolkit/datasets/73:
+608x448: 25 files
+1 buckets made
+Caching latents for /app/ai-toolkit/datasets/73
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/73
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/81
+  -  Preprocessing video dimensions
+
  0%|          | 0/1 [00:00<?, ?it/s]
  0%|          | 0/1 [00:00<?, ?it/s]
+
+  -  Found 1 videos
+Bucket sizes for /app/ai-toolkit/datasets/81:
+576x416: 1 files
+1 buckets made
+Caching latents for /app/ai-toolkit/datasets/81
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/81
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/81
+  -  Preprocessing video dimensions
+
  0%|          | 0/1 [00:00<?, ?it/s]
  0%|          | 0/1 [00:00<?, ?it/s]
+
+  -  Found 1 videos
+Bucket sizes for /app/ai-toolkit/datasets/81:
+608x448: 1 files
+1 buckets made
+Caching latents for /app/ai-toolkit/datasets/81
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/81
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/89
+  -  Preprocessing video dimensions
+
  0%|          | 0/31 [00:00<?, ?it/s]
  0%|          | 0/31 [00:00<?, ?it/s]
+
+  -  Found 31 videos
+Bucket sizes for /app/ai-toolkit/datasets/89:
+576x416: 25 files
+384x672: 2 files
+576x448: 4 files
+3 buckets made
+Caching latents for /app/ai-toolkit/datasets/89
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/89
+ - Saving text embeddings to disk
+
+
+Dataset: /app/ai-toolkit/datasets/89
+  -  Preprocessing video dimensions
+
  0%|          | 0/31 [00:00<?, ?it/s]
  0%|          | 0/31 [00:00<?, ?it/s]
+
+  -  Found 31 videos
+Bucket sizes for /app/ai-toolkit/datasets/89:
+864x672: 19 files
+608x448: 9 files
+832x640: 1 files
+576x992: 2 files
+4 buckets made
+Caching latents for /app/ai-toolkit/datasets/89
+ - Saving latents to disk
+
+
+Caching text_embeddings for /app/ai-toolkit/datasets/89
+ - Saving text embeddings to disk
+
+
+Caching embeddings and unloading text encoder
+
+***** UNLOADING TEXT ENCODER *****
+Embeddings cached to disk. We dont need the text encoder anymore
+***********************************
+
+Skipping first sample due to config setting
+
+
+========================================
+Result:
+ - 0 completed jobs
+ - 1 failure
+========================================
+Traceback (most recent call last):
+Traceback (most recent call last):
+  File "/app/ai-toolkit/run.py", line 120, in <module>
+  File "/app/ai-toolkit/run.py", line 120, in <module>
+        main()main()
+
+  File "/app/ai-toolkit/run.py", line 108, in main
+  File "/app/ai-toolkit/run.py", line 108, in main
+        raise eraise e
+
+  File "/app/ai-toolkit/run.py", line 96, in main
+  File "/app/ai-toolkit/run.py", line 96, in main
+        job.run()job.run()
+
+  File "/app/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+  File "/app/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+        process.run()process.run()
+
+  File "/app/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
+  File "/app/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2340, in run
+        self.end_step_hook()self.end_step_hook()
+
+  File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
+  File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 264, in end_step_hook
+        self.maybe_stop()self.maybe_stop()
+
+  File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
+  File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 147, in maybe_stop
+        raise Exception("Job stopped")raise Exception("Job stopped")
+
+ExceptionException: : Job stoppedJob stopped
+
+
+

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PLORA-LTX2_V3/pid.txt

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