afterpeak / flux-slowed

Flux LORA to generate images in the style of the arworks used for sowed versions of a song

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  • 1.8K runs
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Dataset

The dataset used for training is composed of 80 images with a resolution of 512x512 pixels.

Caption method

Initially the captions were created using taggui, a first pass of auto generated captions using florence-large-ft was done before manually reviewing each caption.

However the best results were obtained form a training without captions, after the fist version all successive trainings were done without capions.

Training method

The LORA is trained using replicate ai-toolkit. The training used 6000 steps, a learning rate of 0.0004 and a network dimension of 32.

Recommended settings

Experimenting the model lead to finding the following settings give a good result

  • prompt: including “SLOW3D” gives stronger results, follow with any description you prefer (the model is trained on women images so best results are archived when generating women)
  • lora_scale: 0.8
  • num_inference_steps: 28
  • model: dev
  • guidance_scale: 3.5 or 2.5