loraas / config.yaml
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job: extension
config:
name: lana_lora_wan2.1
process:
- type: diffusion_trainer
training_folder: /root/lab/ai-toolkit/output
sqlite_db_path: /root/lab/ai-toolkit/aitk_db.db
device: cuda
trigger_word: l4n4lux
performance_log_every: 10
network:
type: lora
linear: 64
linear_alpha: 64
conv: 16
conv_alpha: 16
lokr_full_rank: true
lokr_factor: -1
network_kwargs:
ignore_if_contains: []
save:
dtype: bf16
save_every: 250
max_step_saves_to_keep: 4
save_format: diffusers
push_to_hub: false
datasets:
- folder_path: /root/lab/ai-toolkit/datasets/lana
mask_path: null
mask_min_value: 0.1
default_caption: l4n4lux
caption_ext: txt
caption_dropout_rate: 0.05
cache_latents_to_disk: false
is_reg: false
network_weight: 1
resolution:
- 512
- 768
- 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: 5000
gradient_accumulation: 1
train_unet: true
train_text_encoder: false
gradient_checkpointing: true
noise_scheduler: flowmatch
optimizer: adamw8bit
timestep_type: sigmoid
content_or_style: balanced
optimizer_params:
weight_decay: 0.0001
unload_text_encoder: false
cache_text_embeddings: false
lr: 0.0001
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: Wan-AI/Wan2.1-T2V-14B-Diffusers
quantize: false
qtype: qfloat8
quantize_te: false
qtype_te: qfloat8
arch: wan21:14b
low_vram: false
model_kwargs: {}
sample:
sampler: flowmatch
sample_every: 250
width: 1024
height: 1024
samples:
- prompt: l4n4lux, woman with red hair, playing chess at the park, bomb going
off in the background
neg: ''
seed: 42
walk_seed: true
guidance_scale: 4
sample_steps: 25
num_frames: 1
fps: 1
meta:
name: lana_lora_wan2.1
version: '1.0'