I made it via a lora trainer on hugginface, specifically this ones ..
https://huggingface.co/spaces/autotrain-projects/train-flux-lora-ease
Description
black-forest-labs/FLUX.1-schnell
version 1.0 , just made it from a sett of pictures of her from listal
device: cuda:0
model:
is_flux: true
quantize: true
network:
linear: 16 #it will overcome the 'rank' parameter
linear_alpha: 16 #you can have an alpha different than the ranking if you'd like
type: lora
sample:
guidance_scale: 3.5
height: 1024
neg: '' #doesn't work for FLUX
sample_every: 1000
sample_steps: 28
sampler: flowmatch
seed: 42
walk_seed: true
width: 1024
save:
dtype: float16
hf_private: true
max_step_saves_to_keep: 4
push_to_hub: true
save_every: 10000
train:
batch_size: 1
dtype: bf16
ema_config:
ema_decay: 0.99
use_ema: true
gradient_accumulation_steps: 1
gradient_checkpointing: true
noise_scheduler: flowmatch
optimizer: adamw8bit #options: prodigy, dadaptation, adamw, adamw8bit, lion, lion8bit
train_text_encoder: false #probably doesn't work for flux
train_unet: true
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Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.