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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Input

Output

Examples

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Run time and cost

This model costs approximately $0.072 to run on Replicate, or 13 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia H100 GPU hardware. Predictions typically complete within 48 seconds.

Readme

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