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config:
name: flux_dev_Source_engine_asthetics
process:
- datasets:
- cache_latents_to_disk: true
caption_dropout_rate: 0.2
caption_ext: txt
folder_path: /root/lorahub/flux_dev_Source_engine_asthetics/dataset
resolution:
- 512
- 768
- 1024
shuffle_tokens: false
token_dropout_rate: 0.01
device: cuda:0
model:
is_flux: true
name_or_path: black-forest-labs/FLUX.1-dev
quantize: true
text_encoder_bits: 8
network:
linear: 42
linear_alpha: 42
transformer_only: true
type: lora
performance_log_every: 500
sample:
height: 1024
neg: ''
prompts:
- The image shows a cityscape with tall buildings in the background, a tree
in the middle of a park, a bench, a fence, a pole, and a few other objects,
[trigger]
- The image shows a room with a carpeted floor, a table with monitors and other
objects on it, machines, a wall in the background, and a light at the top.
It appears to be a control room, with a large machine in the center, [trigger]
- The image shows a person taking a photo of a forest with their cell phone.
The person's hand is in the foreground, holding the phone up to capture the
scene. The background of the image is filled with trees, plants, grass, rocks,
and a wooden bridge, [trigger]
- The image shows an abandoned bridge with graffiti on the side of it, surrounded
by street poles, street lights, grills, trees, and buildings. The sky in the
background is filled with clouds, [trigger]
sample_every: 500
sample_steps: 25
sampler: flowmatch
seed: 42
walk_seed: true
width: 1024
save:
dtype: float16
max_step_saves_to_keep: 3
save_every: 500
save_format: diffusers
train:
batch_size: 1
dtype: bf16
ema_config:
ema_decay: 0.99
use_ema: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
linear_timesteps: true
loss_type: mse
lr: 0.0002
noise_scheduler: flowmatch
optimizer: adamw8bit
reg_weight: 1.0
steps: 3000
target_noise_multiplier: 1.0
train_text_encoder: false
train_unet: true
training_folder: /root/lorahub
trigger_word: In the style of the source engine
type: sd_trainer
job: extension
meta:
description: ''
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