upload permesk checkpoints (ignore sqlite wal/shm)

.gitattributes

@@ -193,3 +193,4 @@ run_r34_512_20260306_084725/samples/epoch_088.jpg filter=lfs diff=lfs merge=lfs
 run_r34_512_20260306_084725/samples/epoch_089.jpg filter=lfs diff=lfs merge=lfs -text
 run_r34_512_20260306_084725/samples/epoch_090.jpg filter=lfs diff=lfs merge=lfs -text
 permesk/loss_log.db filter=lfs diff=lfs merge=lfs -text
+yora/samples/1777745264328__000000000_0.jpg filter=lfs diff=lfs merge=lfs -text

yora/.job_config.json

@@ -0,0 +1,128 @@
+{
+  "job": "extension",
+  "config": {
+    "name": "yora",
+    "process": [
+      {
+        "type": "diffusion_trainer",
+        "training_folder": "/workspace/ai-toolkit/output",
+        "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
+        "device": "cuda",
+        "trigger_word": "vmvm",
+        "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": 200,
+          "max_step_saves_to_keep": 444444,
+          "save_format": "diffusers",
+          "push_to_hub": false
+        },
+        "datasets": [
+          {
+            "folder_path": "/workspace/ai-toolkit/datasets/qqqq",
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.05,
+            "cache_latents_to_disk": true,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+              1024
+            ],
+            "controls": [],
+            "shrink_video_to_frames": true,
+            "num_frames": 1,
+            "flip_x": false,
+            "flip_y": false,
+            "num_repeats": 1
+          }
+        ],
+        "train": {
+          "batch_size": 1,
+          "bypass_guidance_embedding": false,
+          "steps": 3000,
+          "gradient_accumulation": 1,
+          "train_unet": true,
+          "train_text_encoder": false,
+          "gradient_checkpointing": true,
+          "noise_scheduler": "flowmatch",
+          "optimizer": "prodigyopt",
+          "timestep_type": "weighted",
+          "content_or_style": "balanced",
+          "optimizer_params": {
+            "weight_decay": 0.0001
+          },
+          "unload_text_encoder": false,
+          "cache_text_embeddings": true,
+          "lr": 1,
+          "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,
+          "loss_type": "mse"
+        },
+        "logging": {
+          "log_every": 1,
+          "use_ui_logger": true
+        },
+        "model": {
+          "name_or_path": "Tongyi-MAI/Z-Image",
+          "quantize": true,
+          "qtype": "qfloat8",
+          "quantize_te": true,
+          "qtype_te": "qfloat8",
+          "arch": "zimage",
+          "low_vram": true,
+          "model_kwargs": {},
+          "layer_offloading": false,
+          "layer_offloading_text_encoder_percent": 1,
+          "layer_offloading_transformer_percent": 1
+        },
+        "sample": {
+          "sampler": "flowmatch",
+          "sample_every": 200,
+          "width": 1024,
+          "height": 1024,
+          "samples": [
+            {
+              "prompt": "A person with messy, shoulder-length black hair stands facing the camera in a relaxed, neutral pose with arms resting naturally at their sides. They are wearing a fitted, short-sleeve black outfit with a minimalist, sleek design. The setting is a cozy indoor living room with warm ambient lighting. Behind them is a beige couch with soft cushions, a wooden floor, and a small side table holding a closed book and a charging cable. A floor lamp casts a soft, warm glow, creating a calm and intimate atmosphere. The composition is centered and symmetrical, with the subject framed from head to mid-thigh, giving a balanced and slightly cinematic look."
+            }
+          ],
+          "neg": "",
+          "seed": 42,
+          "walk_seed": true,
+          "guidance_scale": 4,
+          "sample_steps": 30,
+          "num_frames": 1,
+          "fps": 1
+        }
+      }
+    ]
+  },
+  "meta": {
+    "name": "[name]",
+    "version": "1.0"
+  }
+}

yora/config.yaml

@@ -0,0 +1,113 @@
+job: extension
+config:
+  name: yora
+  process:
+  - type: diffusion_trainer
+    training_folder: /workspace/ai-toolkit/output
+    sqlite_db_path: /workspace/ai-toolkit/aitk_db.db
+    device: cuda
+    trigger_word: vmvm
+    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: 200
+      max_step_saves_to_keep: 444444
+      save_format: diffusers
+      push_to_hub: false
+    datasets:
+    - folder_path: /workspace/ai-toolkit/datasets/qqqq
+      mask_path: null
+      mask_min_value: 0.1
+      default_caption: ''
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      cache_latents_to_disk: true
+      is_reg: false
+      network_weight: 1
+      resolution:
+      - 1024
+      controls: []
+      shrink_video_to_frames: true
+      num_frames: 1
+      flip_x: false
+      flip_y: false
+      num_repeats: 1
+    train:
+      batch_size: 1
+      bypass_guidance_embedding: false
+      steps: 3000
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: prodigyopt
+      timestep_type: weighted
+      content_or_style: balanced
+      optimizer_params:
+        weight_decay: 0.0001
+      unload_text_encoder: false
+      cache_text_embeddings: true
+      lr: 1
+      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
+      loss_type: mse
+    logging:
+      log_every: 1
+      use_ui_logger: true
+    model:
+      name_or_path: Tongyi-MAI/Z-Image
+      quantize: true
+      qtype: qfloat8
+      quantize_te: true
+      qtype_te: qfloat8
+      arch: zimage
+      low_vram: true
+      model_kwargs: {}
+      layer_offloading: false
+      layer_offloading_text_encoder_percent: 1
+      layer_offloading_transformer_percent: 1
+    sample:
+      sampler: flowmatch
+      sample_every: 200
+      width: 1024
+      height: 1024
+      samples:
+      - prompt: A person with messy, shoulder-length black hair stands facing the
+          camera in a relaxed, neutral pose with arms resting naturally at their sides.
+          They are wearing a fitted, short-sleeve black outfit with a minimalist,
+          sleek design. The setting is a cozy indoor living room with warm ambient
+          lighting. Behind them is a beige couch with soft cushions, a wooden floor,
+          and a small side table holding a closed book and a charging cable. A floor
+          lamp casts a soft, warm glow, creating a calm and intimate atmosphere. The
+          composition is centered and symmetrical, with the subject framed from head
+          to mid-thigh, giving a balanced and slightly cinematic look.
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 4
+      sample_steps: 30
+      num_frames: 1
+      fps: 1
+meta:
+  name: yora
+  version: '1.0'

yora/logs/0_log.txt

@@ -0,0 +1,241 @@
+Running 1 job
+{
+    "type": "diffusion_trainer",
+    "training_folder": "/workspace/ai-toolkit/output",
+    "sqlite_db_path": "/workspace/ai-toolkit/aitk_db.db",
+    "device": "cuda",
+    "trigger_word": "vmvm",
+    "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": 200,
+        "max_step_saves_to_keep": 444444,
+        "save_format": "diffusers",
+        "push_to_hub": false
+    },
+    "datasets": [
+        {
+            "folder_path": "/workspace/ai-toolkit/datasets/qqqq",
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.05,
+            "cache_latents_to_disk": true,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+                1024
+            ],
+            "controls": [],
+            "shrink_video_to_frames": true,
+            "num_frames": 1,
+            "flip_x": false,
+            "flip_y": false,
+            "num_repeats": 1
+        }
+    ],
+    "train": {
+        "batch_size": 1,
+        "bypass_guidance_embedding": false,
+        "steps": 3000,
+        "gradient_accumulation": 1,
+        "train_unet": true,
+        "train_text_encoder": false,
+        "gradient_checkpointing": true,
+        "noise_scheduler": "flowmatch",
+        "optimizer": "prodigyopt",
+        "timestep_type": "weighted",
+        "content_or_style": "balanced",
+        "optimizer_params": {
+            "weight_decay": 0.0001
+        },
+        "unload_text_encoder": false,
+        "cache_text_embeddings": true,
+        "lr": 1,
+        "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,
+        "loss_type": "mse"
+    },
+    "logging": {
+        "log_every": 1,
+        "use_ui_logger": true
+    },
+    "model": {
+        "name_or_path": "Tongyi-MAI/Z-Image",
+        "quantize": true,
+        "qtype": "qfloat8",
+        "quantize_te": true,
+        "qtype_te": "qfloat8",
+        "arch": "zimage",
+        "low_vram": true,
+        "model_kwargs": {},
+        "layer_offloading": false,
+        "layer_offloading_text_encoder_percent": 1,
+        "layer_offloading_transformer_percent": 1
+    },
+    "sample": {
+        "sampler": "flowmatch",
+        "sample_every": 200,
+        "width": 1024,
+        "height": 1024,
+        "samples": [
+            {
+                "prompt": "woman with black hair taking a selfie in her bedroom"
+            }
+        ],
+        "neg": "",
+        "seed": 42,
+        "walk_seed": true,
+        "guidance_scale": 4,
+        "sample_steps": 30,
+        "num_frames": 1,
+        "fps": 1
+    }
+}
+Using SQLite database at /workspace/ai-toolkit/aitk_db.db
+Job ID: "43ca7731-71a5-45fa-914f-727d11aef207"
+
+#############################################
+# Running job: yora
+#############################################
+
+
+Running  1 process
+Loading ZImage model
+Loading transformer
+
+
+
+
+Quantizing Transformer
+ - quantizing 30 transformer blocks
+
  0%|          | 0/30 [00:00<?, ?it/s]
  0%|          | 0/30 [00:00<?, ?it/s]
  3%|3         | 1/30 [00:00<00:09,  3.11it/s]
  3%|3         | 1/30 [00:00<00:09,  3.11it/s]
  7%|6         | 2/30 [00:00<00:06,  4.35it/s]
  7%|6         | 2/30 [00:00<00:06,  4.35it/s]
 10%|#         | 3/30 [00:00<00:05,  5.07it/s]
 10%|#         | 3/30 [00:00<00:05,  5.07it/s]
 13%|#3        | 4/30 [00:00<00:04,  5.49it/s]
 13%|#3        | 4/30 [00:00<00:04,  5.49it/s]
 17%|#6        | 5/30 [00:00<00:04,  5.75it/s]
 17%|#6        | 5/30 [00:00<00:04,  5.75it/s]
 20%|##        | 6/30 [00:01<00:04,  5.86it/s]
 20%|##        | 6/30 [00:01<00:04,  5.86it/s]
 23%|##3       | 7/30 [00:01<00:03,  5.98it/s]
 23%|##3       | 7/30 [00:01<00:03,  5.98it/s]
 27%|##6       | 8/30 [00:01<00:03,  6.04it/s]
 27%|##6       | 8/30 [00:01<00:03,  6.04it/s]
 30%|###       | 9/30 [00:01<00:03,  6.01it/s]
 30%|###       | 9/30 [00:01<00:03,  6.01it/s]
 33%|###3      | 10/30 [00:01<00:03,  6.06it/s]
 33%|###3      | 10/30 [00:01<00:03,  6.06it/s]
 37%|###6      | 11/30 [00:01<00:03,  6.13it/s]
 37%|###6      | 11/30 [00:01<00:03,  6.13it/s]
 40%|####      | 12/30 [00:02<00:02,  6.15it/s]
 40%|####      | 12/30 [00:02<00:02,  6.15it/s]
 43%|####3     | 13/30 [00:02<00:02,  6.19it/s]
 43%|####3     | 13/30 [00:02<00:02,  6.19it/s]
 47%|####6     | 14/30 [00:02<00:02,  6.16it/s]
 47%|####6     | 14/30 [00:02<00:02,  6.16it/s]
 50%|#####     | 15/30 [00:02<00:02,  6.09it/s]
 50%|#####     | 15/30 [00:02<00:02,  6.09it/s]
 53%|#####3    | 16/30 [00:02<00:02,  6.15it/s]
 53%|#####3    | 16/30 [00:02<00:02,  6.15it/s]
 57%|#####6    | 17/30 [00:02<00:02,  6.18it/s]
 57%|#####6    | 17/30 [00:02<00:02,  6.18it/s]
 60%|######    | 18/30 [00:03<00:01,  6.20it/s]
 60%|######    | 18/30 [00:03<00:01,  6.20it/s]
 63%|######3   | 19/30 [00:03<00:01,  6.21it/s]
 63%|######3   | 19/30 [00:03<00:01,  6.21it/s]
 67%|######6   | 20/30 [00:03<00:01,  6.22it/s]
 67%|######6   | 20/30 [00:03<00:01,  6.22it/s]
 70%|#######   | 21/30 [00:03<00:01,  6.22it/s]
 70%|#######   | 21/30 [00:03<00:01,  6.22it/s]
 73%|#######3  | 22/30 [00:03<00:01,  5.95it/s]
 73%|#######3  | 22/30 [00:03<00:01,  5.95it/s]
 77%|#######6  | 23/30 [00:03<00:01,  5.95it/s]
 77%|#######6  | 23/30 [00:03<00:01,  5.95it/s]
 80%|########  | 24/30 [00:04<00:01,  5.97it/s]
 80%|########  | 24/30 [00:04<00:01,  5.97it/s]
 83%|########3 | 25/30 [00:04<00:00,  6.06it/s]
 83%|########3 | 25/30 [00:04<00:00,  6.06it/s]
 87%|########6 | 26/30 [00:04<00:00,  6.12it/s]
 87%|########6 | 26/30 [00:04<00:00,  6.12it/s]
 90%|######### | 27/30 [00:04<00:00,  6.16it/s]
 90%|######### | 27/30 [00:04<00:00,  6.16it/s]
 93%|#########3| 28/30 [00:04<00:00,  6.19it/s]
 93%|#########3| 28/30 [00:04<00:00,  6.19it/s]
 97%|#########6| 29/30 [00:04<00:00,  6.21it/s]
 97%|#########6| 29/30 [00:04<00:00,  6.21it/s]
+
+ - quantizing extras
+Moving transformer to CPU
+Text Encoder
+
+
+
+
+Quantizing Text Encoder
+Loading VAE
+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: 240 modules.
+enable LoRA for U-Net
+Using Prodigy optimizer
+Using lr 1
+Using decoupled weight decay
+Dataset: /workspace/ai-toolkit/datasets/qqqq
+  -  Preprocessing image dimensions
+
  0%|          | 0/60 [00:00<?, ?it/s]
  0%|          | 0/60 [00:00<?, ?it/s]
  8%|8         | 5/60 [00:00<00:01, 48.56it/s]
  8%|8         | 5/60 [00:00<00:01, 48.56it/s]
 23%|##3       | 14/60 [00:00<00:00, 71.48it/s]
 23%|##3       | 14/60 [00:00<00:00, 71.48it/s]
 40%|####      | 24/60 [00:00<00:00, 81.62it/s]
 40%|####      | 24/60 [00:00<00:00, 81.62it/s]
 55%|#####5    | 33/60 [00:00<00:00, 84.47it/s]
 55%|#####5    | 33/60 [00:00<00:00, 84.47it/s]
 70%|#######   | 42/60 [00:00<00:00, 86.04it/s]
 70%|#######   | 42/60 [00:00<00:00, 86.04it/s]
 87%|########6 | 52/60 [00:00<00:00, 88.68it/s]
 87%|########6 | 52/60 [00:00<00:00, 88.68it/s]
+
+  -  Found 60 images
+Bucket sizes for /workspace/ai-toolkit/datasets/qqqq:
+832x1152: 60 files
+1 buckets made
+Caching latents for /workspace/ai-toolkit/datasets/qqqq
+ - Saving latents to disk
+
+
+Caching text_embeddings for /workspace/ai-toolkit/datasets/qqqq
+ - 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
+***********************************
+
+Generating baseline samples before training
+
                                                                 
                                                                 
+========================================
+Result:
+ - 0 completed jobs
+========================================
+Traceback (most recent call last):
+Traceback (most recent call last):
+  File "/workspace/ai-toolkit/run.py", line 135, in <module>
+  File "/workspace/ai-toolkit/run.py", line 135, in <module>
+        main()main()
+
+  File "/workspace/ai-toolkit/run.py", line 131, in main
+  File "/workspace/ai-toolkit/run.py", line 131, in main
+        raise eraise e
+
+  File "/workspace/ai-toolkit/run.py", line 111, in main
+  File "/workspace/ai-toolkit/run.py", line 111, in main
+        job.run()job.run()
+
+  File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+  File "/workspace/ai-toolkit/jobs/ExtensionJob.py", line 22, in run
+        process.run()process.run()
+
+  File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2224, in run
+  File "/workspace/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 2224, in run
+        loss_dict = self.hook_train_loop(batch_list)loss_dict = self.hook_train_loop(batch_list)
+
+                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2098, in hook_train_loop
+  File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2098, in hook_train_loop
+        loss = self.train_single_accumulation(batch)loss = self.train_single_accumulation(batch)
+
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+  File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2073, in train_single_accumulation
+  File "/workspace/ai-toolkit/extensions_built_in/sd_trainer/SDTrainer.py", line 2073, in train_single_accumulation
+        self.accelerator.backward(loss)self.accelerator.backward(loss)
+
+  File "/venv/main/lib/python3.12/site-packages/accelerate/accelerator.py", line 2838, in backward
+  File "/venv/main/lib/python3.12/site-packages/accelerate/accelerator.py", line 2838, in backward
+        loss.backward(**kwargs)loss.backward(**kwargs)
+
+  File "/venv/main/lib/python3.12/site-packages/torch/_tensor.py", line 648, in backward
+  File "/venv/main/lib/python3.12/site-packages/torch/_tensor.py", line 648, in backward
+        torch.autograd.backward(torch.autograd.backward(
+
+  File "/venv/main/lib/python3.12/site-packages/torch/autograd/__init__.py", line 353, in backward
+  File "/venv/main/lib/python3.12/site-packages/torch/autograd/__init__.py", line 353, in backward
+        _engine_run_backward(_engine_run_backward(
+
+  File "/venv/main/lib/python3.12/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
+  File "/venv/main/lib/python3.12/site-packages/torch/autograd/graph.py", line 824, in _engine_run_backward
+        return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward passreturn Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+KeyboardInterruptKeyboardInterrupt
+
+
+

yora/loss_log.db

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfe836cfd837826f6bdd4e9c6abe5f214a9f82775e9bebc60b9604c8e14153a9
+size 565248

yora/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5072050e28689f9302de57a0b17d29f89ff4ad903f1b6634d591c99f6508732
+size 1149731555

yora/pid.txt

@@ -0,0 +1 @@
+4356

yora/yora.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:791ee07aefe803262ba862b1028ee447fa0d0cd94ad37ab99bb8cf4ae59ad6a6
+size 170128256

yora/yora_000000200.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa29660034cf953b68ebf77825b12973eee47d09ea42d703a42b923c730b0a97
+size 170128256

yora/yora_000000400.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f43fa830fe9f6025c019787a18b5b9a45b71ab2567509038025cb544aa1edde
+size 170128256

yora/yora_000000600.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7bb9415e13e932fe7d11b59932035453d9f9f485edebae4496dfd473b8fe297
+size 170128256

yora/yora_000000800.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:665777d7ac6d3b9d57348dca964ec34aa35964d40b73814c55b06894a8ec09da
+size 170128256

yora/yora_000001000.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:636618406a107d2dd6fdbdd5ba82291c872952b8effddd674be70317d92b58fa
+size 170128256

yora/yora_000001200.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81f383afb9922a5d9be5e23572b19c17534c285dedabf439fa2ea09a48381b7d
+size 170128256

yora/yora_000001400.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd372fe8cc853b438b5dcec60507c2e64e82789411b32c53468efcf9a3310d8b
+size 170128256

yora/yora_000001600.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9b52a49dfcc4bb6f487635f46eb03b2d4759de57a3d89ec92f7f87c9bff2db3
+size 170128256

yora/yora_000001800.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b9c4d237ea8f22366a88d2ba9951ff7424653ea0dafaca399346ab9a0489a23
+size 170128256

yora/yora_000002000.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a21c40e4af8dff12f7bcaa5b0a88cb9c06e55815329d4b50e4c676a812ae7965
+size 170128256

yora/yora_000002200.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3161df883d3d0322fcec18b08ee555e7909e84034827825f53e416f0aa99286c
+size 170128256

yora/yora_000002400.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a60b2041bd8745cd37b70f43ff85e6f6597a4e1ccc037ce4af65ad58952eae3
+size 170128256

yora/yora_000002600.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b3a099c13ea3045225ecdb4135f6ccb1233585243c5c0116f2bbcec6dcec660
+size 170128256

yora/yora_000002800.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e425d96e4ac2d397294b190cdd63dda87d9a7e3e2d6af4b1e6b734ce86a896a1
+size 170128256