Pepe FLUX版本BS Pepe FLUX v1.0 (ID: 720509)

This Pepe FLUX Lora was trained on the same dataset of 569 image caption pairs that I used to train the BS-Pepe-V1 SDXL LoRA. It was trained with a batch size 4 and grad accum 4 using the AdamW optimizer for 4000 steps with a network rank of 64. Training took about 14 hours. Most of the tags from the SDXL version work, some are a little weird. 3D Render, Digital Art, Painting, Girl, CCTV styles all trained very well. Anime, Cartoon and Comic can be a little tricky. Try using the style tags at the end of your prompt.

描述:

Tags need to be explored to find the best ones, initial testing indicating that all though everything works, some work better than others. Try using style tags at the end of your prompt.

Training settings:
train:

batch_size: 4

steps: 4000

gradient_accumulation_steps: 4

train_unet: true

train_text_encoder: false

content_or_style: balanced

gradient_checkpointing: true

noise_scheduler: flowmatch

optimizer: adamw8bit

lr: 0.0004

ema_config:

use_ema: true

ema_decay: 0.99

dtype: bf16

训练词语: Pepe,digital art,3D render,CCTV,print,painting,cartoon,girl pepe,anime,meme,this is fine,feels bad man,minifig lego,medium shot,close up,family tree,web comic