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upload lora and config yaml

config.yaml

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+job: custom_job
+config:
+  name: wan_train_replicate
+  process:
+  - type: custom_sd_trainer
+    training_folder: output
+    device: cuda:0
+    trigger_word: MRB
+    network:
+      type: lora
+      linear: 32
+      linear_alpha: 32
+    save:
+      dtype: float16
+      save_every: 1501
+      max_step_saves_to_keep: 1
+    datasets:
+    - folder_path: input_images
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      shuffle_tokens: false
+      cache_latents_to_disk: false
+      cache_latents: true
+      resolution:
+      - 632
+    train:
+      batch_size: 1
+      steps: 1500
+      gradient_accumulation_steps: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: false
+      noise_scheduler: flowmatch
+      timestep_type: sigmoid
+      optimizer: adamw8bit
+      optimizer_params:
+        weight_decay: 0.0001
+      lr: 5.0e-05
+      ema_config:
+        use_ema: true
+        ema_decay: 0.99
+      dtype: bf16
+    model:
+      name_or_path: Wan-AI/Wan2.1-T2V-14B-Diffusers
+      quantize: false
+      arch: wan21
+    sample:
+      sampler: flowmatch
+      sample_every: 1501
+      width: 832
+      height: 480
+      num_frames: 33
+      fps: 16
+      prompts: []
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 5
+      sample_steps: 30
+meta:
+  name: wan_train_replicate
+  version: '1.0'

lora.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ce77335641bb61d3c3c6addaec956bac4530091e6385752bc58c84b8b5946bcc
+size 306807624