qwenfluxprompt / 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: SOFIAOHWX
network:
type: lora
linear: 32
linear_alpha: 32
save:
dtype: float16
save_every: 2001
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: 2000
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: 0.0001
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: 2001
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'