thai_wanlora / config.yaml
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job: extension
config:
name: thai_wanlora
process:
- type: sd_trainer
training_folder: output
device: cuda:0
trigger_word: ohwx woman
network:
type: lora
linear: 32
linear_alpha: 32
save:
dtype: float16
save_every: 500
max_step_saves_to_keep: 4
push_to_hub: false
datasets:
- folder_path: /thai_lady_dataset
caption_ext: txt
caption_dropout_rate: 0.05
shuffle_tokens: false
cache_latents_to_disk: true
resolution:
- 1024
train:
batch_size: 1
steps: 4000
gradient_accumulation: 1
train_unet: true
train_text_encoder: false
gradient_checkpointing: true
noise_scheduler: flowmatch
timestep_type: sigmoid
optimizer: adamw8bit
lr: 0.0001
optimizer_params:
weight_decay: 0.0001
skip_first_sample: true
ema_config:
use_ema: true
ema_decay: 0.99
dtype: bf16
unload_text_encoder: true
model:
name_or_path: Wan-AI/Wan2.1-T2V-14B-Diffusers
arch: wan21
quantize: false
quantize_te: false
low_vram: false
sample:
sampler: flowmatch
sample_every: 500
width: 832
height: 480
num_frames: 40
fps: 15
prompts:
- ohwx woman sitting on a bed, looking at viewer with an teasing face expression
neg: ''
seed: 42
walk_seed: true
guidance_scale: 5
sample_steps: 30
meta:
name: thai_wanlora
version: '1.0'