diego / config.yaml
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config:
name: flux_train_replicate
process:
- datasets:
- cache_latents_to_disk: true
caption_dropout_rate: 0.05
caption_ext: txt
folder_path: input_images
resolution:
- 512
- 768
- 1024
shuffle_tokens: false
device: cuda:0
model:
is_flux: true
name_or_path: black-forest-labs/FLUX.1-dev
quantize: true
network:
linear: 16
linear_alpha: 16
type: lora
sample:
guidance_scale: 4
height: 1024
neg: ''
prompts:
- a sign that says 'I LOVE PROMPTS!' in the style of [trigger]
sample_every: 250
sample_steps: 20
sampler: flowmatch
seed: 42
walk_seed: true
width: 1024
save:
dtype: float16
max_step_saves_to_keep: 1
save_every: 1001
train:
batch_size: 1
content_or_style: balanced
dtype: bf16
ema_config:
ema_decay: 0.99
use_ema: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
lr: 0.0004
noise_scheduler: flowmatch
optimizer: adamw8bit
steps: 1000
train_text_encoder: false
train_unet: true
training_folder: output
trigger_word: TOK
type: sd_trainer
job: extension
meta:
name: flux_train_replicate
version: '1.0'