Upload folder using huggingface_hub

ampp/Lidar/Lidar.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:567e1d28cf6d2c7484665afda8af208318686c860a58edbed79d532ee4a71003
+size 451202696

ampp/Lidar/Lidar_000001500.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99cb850470af99cbb032af9ebfcf1bdfbafe881aee222c1241711cdb7d2c3f2f
+size 451202696

ampp/Lidar/Lidar_000002000.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd13a53f573614861af4203aba385e9b4f14bb098fe224341b8aae770a0f5889
+size 451202696

ampp/Lidar/Lidar_000002500.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1adf1c958a37510ca02d8f90667382e3f3cf8d6a86882b0363746ce961bcd4a7
+size 451202696

ampp/Lidar/config.yaml

@@ -0,0 +1,71 @@
+config:
+  name: Lidar
+  process:
+  - datasets:
+    - cache_latents_to_disk: true
+      caption_dropout_rate: 0.2
+      caption_ext: txt
+      folder_path: /root/lorahub/Lidar/dataset
+      resolution:
+      - 512
+      - 768
+      - 1024
+      shuffle_tokens: false
+      token_dropout_rate: 0.01
+    device: cuda:0
+    model:
+      is_flux: true
+      name_or_path: black-forest-labs/FLUX.1-dev
+      quantize: true
+      text_encoder_bits: 8
+    network:
+      linear: 42
+      linear_alpha: 42
+      transformer_only: true
+      type: lora
+    performance_log_every: 500
+    sample:
+      height: 1024
+      neg: ''
+      prompts:
+      - wounded centaur, mythical creature [trigger]
+      - ruins of athens, snake [trigger]
+      - silver vampire sword [trigger]
+      - '[trigger] a woman riding a dragon'
+      - '[trigger] an epic battle between men and beasts'
+      - '[trigger] chaotic cinemtic scene with objects floating in space'
+      sample_every: 500
+      sample_steps: 25
+      sampler: flowmatch
+      seed: 42
+      walk_seed: true
+      width: 1024
+    save:
+      dtype: float16
+      max_step_saves_to_keep: 3
+      save_every: 500
+      save_format: diffusers
+    train:
+      batch_size: 1
+      dtype: bf16
+      ema_config:
+        ema_decay: 0.99
+        use_ema: true
+      gradient_accumulation_steps: 1
+      gradient_checkpointing: true
+      linear_timesteps: true
+      loss_type: mse
+      lr: 1.0
+      noise_scheduler: flowmatch
+      optimizer: prodigy
+      reg_weight: 1.0
+      steps: 3000
+      target_noise_multiplier: 1.0
+      train_text_encoder: false
+      train_unet: true
+    training_folder: /root/lorahub
+    trigger_word: L1d4r
+    type: sd_trainer
+job: extension
+meta:
+  description: <3 you