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.ipynb_checkpoints/config-checkpoint.yaml

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+job: extension
+config:
+  name: Alessa_wan2.2_high
+  process:
+  - type: sd_trainer
+    training_folder: output
+    device: cuda:0
+    network:
+      type: lora
+      linear: 32
+      linear_alpha: 32
+    save:
+      dtype: float16
+      save_every: 500
+      max_step_saves_to_keep: 4
+    datasets:
+    - folder_path: /alessafiore_dataset
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      num_frames: 1
+      resolution:
+      - 1024
+    train:
+      batch_size: 1
+      steps: 3000
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      timestep_type: linear
+      optimizer: adamw8bit
+      lr: 0.0001
+      optimizer_params:
+        weight_decay: 0.0001
+      skip_first_sample: true
+      dtype: bf16
+      switch_boundary_every: 10
+      cache_text_embeddings: true
+    model:
+      name_or_path: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
+      arch: wan22_14b
+      quantize: false
+      quantize_te: false
+      qtype_te: qfloat8
+      low_vram: false
+      model_kwargs:
+        train_high_noise: true
+        train_low_noise: false
+    sample:
+      sampler: flowmatch
+      sample_every: 1000
+      width: 832
+      height: 1216
+      num_frames: 1
+      fps: 16
+      prompts:
+      - tik tok video of an ohwx woman with shoulder length hair is kneeling on floor
+        near a bed, She gathers her hair up slowly, She is looking at viewer with
+        a playful expression on her face,
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3.5
+      sample_steps: 25
+meta:
+  name: Alessa_wan2.2_high
+  version: '1.0'

Alessa_wan2.2_high_000000500_high_noise.safetensors

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+size 306807576

Alessa_wan2.2_high_000001000_high_noise.safetensors

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Alessa_wan2.2_high_000001500_high_noise.safetensors

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Alessa_wan2.2_high_000002000_high_noise.safetensors

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Alessa_wan2.2_high_000002500_high_noise.safetensors

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Alessa_wan2.2_high_high_noise.safetensors

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config.yaml

@@ -0,0 +1,68 @@
+job: extension
+config:
+  name: Alessa_wan2.2_high
+  process:
+  - type: sd_trainer
+    training_folder: output
+    device: cuda:0
+    network:
+      type: lora
+      linear: 32
+      linear_alpha: 32
+    save:
+      dtype: float16
+      save_every: 500
+      max_step_saves_to_keep: 4
+    datasets:
+    - folder_path: /alessafiore_dataset
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      num_frames: 1
+      resolution:
+      - 1024
+    train:
+      batch_size: 1
+      steps: 3000
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      timestep_type: linear
+      optimizer: adamw8bit
+      lr: 0.0001
+      optimizer_params:
+        weight_decay: 0.0001
+      skip_first_sample: true
+      dtype: bf16
+      switch_boundary_every: 10
+      cache_text_embeddings: true
+    model:
+      name_or_path: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16
+      arch: wan22_14b
+      quantize: false
+      quantize_te: false
+      qtype_te: qfloat8
+      low_vram: false
+      model_kwargs:
+        train_high_noise: true
+        train_low_noise: false
+    sample:
+      sampler: flowmatch
+      sample_every: 1000
+      width: 832
+      height: 1216
+      num_frames: 1
+      fps: 16
+      prompts:
+      - tik tok video of an ohwx woman with shoulder length hair is kneeling on floor
+        near a bed, She gathers her hair up slowly, She is looking at viewer with
+        a playful expression on her face,
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3.5
+      sample_steps: 25
+meta:
+  name: Alessa_wan2.2_high
+  version: '1.0'

optimizer.pt

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+size 312442469