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.

Pepe FLUX

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

FLUX-Pepe-1.safetensors

BS Pepe FLUX v1.0

This Pepe FLUX Lora was trained on the same dataset of 569 image caption pairs that I used to train the&nbsp;BS-Pepe-V1&nbsp;SDXL&nbsp;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.

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.

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