File size: 1,435 Bytes
3b8d50d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | # Z-Image LoRA Training Configuration Example
# Model configuration
model:
name_or_path: "Tongyi-MAI/Z-Image" # or path to local model
# LoRA configuration
lora:
prefix: "diffusion_model."
rank: 32
alpha: 32
target_modules:
- "to_q"
- "to_k"
- "to_v"
- "to_out.0"
- "feed_forward.w1"
- "feed_forward.w2"
- "feed_forward.w3"
- "adaLN_modulation.0"
# Dataset configuration
dataset:
path: "[dataset_location]/[person_to_train]"
trigger: "[instance_token] [class_token]"
default_caption: "photo of a [class_token]"
repeats: 1
resolution: 512
center_crop: true
random_flip: false
num_workers: 0
# Training configuration
train:
batch_size: 1
gradient_accumulation_steps: 1
num_epochs: 100
optimizer: "adamw8bit"
learning_rate: 1e-4
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1e-8
weight_decay: 0.01
weight_decay_exclude_lora: true
timestep_weighting: "none"
do_differential_guidance: true
differential_guidance_scale: 3.0
unconditional_prompt: ""
dynamic_noise_offset: true
noise_multiplier: 1.0
random_noise_multiplier: 0.0
random_noise_shift: 0.0
latent_multiplier: 1.0
noisy_latent_multiplier: 1.0
max_grad_norm: 1.0
save_every: 500
# Output configuration
output:
path: "./output/[person_to_train]"
# Logging configuration
logging:
level: "INFO"
# Training settings
dtype: "bfloat16"
mixed_precision: "bf16"
seed: 42
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