Avanza24 / config.yaml
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job: extension
config:
name: AVANZA24
process:
- type: sd_trainer
training_folder: output/your_model
performance_log_every: 1000
device: cuda:0
trigger_word: AV4NZ4
network:
type: lora
linear: 16
linear_alpha: 16
save:
dtype: float16
save_every: 250
max_step_saves_to_keep: 4
push_to_hub: true
hf_repo_id: crystantine/Avanza24
hf_private: false
datasets:
- folder_path: AV4NZ4
caption_ext: txt
caption_dropout_rate: 0.05
shuffle_tokens: true
cache_latents_to_disk: true
resolution:
- 512
- 768
- 1024
train:
batch_size: 1
steps: 2000
gradient_accumulation_steps: 1
train_unet: true
train_text_encoder: false
gradient_checkpointing: true
noise_scheduler: flowmatch
optimizer: adamw8bit
lr: 0.0002
skip_first_sample: true
ema_config:
use_ema: true
ema_decay: 0.99
dtype: bf16
model:
name_or_path: black-forest-labs/FLUX.1-dev
is_flux: true
quantize: true
sample:
sampler: flowmatch
sample_every: 250
width: 1024
height: 1024
prompts: ''
neg: ''
seed: 42
walk_seed: true
guidance_scale: 4
sample_steps: 20
meta:
name: '[your name]'
version: '1.0'