<p><span style="color:#40c057">This Pepe FLUX Lora was trained on the same dataset of 569 image caption pairs that I used to train the </span><strong><span style="color:#40c057">BS-Pepe-V1 </span></strong><span style="color:#40c057">SDXL</span><strong><span style="color:#40c057"> </span></strong><span style="color:#40c057">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. </span></p>
Public
Flux.1 D
<p>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.<br /><br />Training settings:<br />    train:</p><p>      batch_size: 4</p><p>      steps: 4000</p><p>      gradient_accumulation_steps: 4</p><p>      train_unet: true</p><p>      train_text_encoder: false</p><p>      content_or_style: balanced</p><p>      gradient_checkpointing: true</p><p>      noise_scheduler: flowmatch</p><p>      optimizer: adamw8bit</p><p>      lr: 0.0004</p><p>      ema_config:</p><p>        use_ema: true</p><p>        ema_decay: 0.99</p><p>      dtype: bf16</p>
https://civitai.com/api/download/models/720509
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https://civitai.com/api/download/models/720509
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SafeTensor
FLUX-Pepe-1.safetensors
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Success
2024-08-13T22:15:51.206Z
Model
Success
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BS Pepe FLUX v1.0
2024-08-13T23:00:25.901Z
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
Pepe FLUX
character pepe flux.1 flux1.d