voodoohop / flux-dance

  • Public
  • 273 runs
  • L40S

Input

string
Shift + Return to add a new line

Style suffix to append to each prompt

Default: "angular, academic art, cubism, an abstract drawing by Svetoslav Roerich, abstract illusionism, concept art, angular, broken-stained-glass, concrete poetry, anton semono. black and white, granular, abstract, hand drawings, grainy, dmysticism, sacred symbology, blueprint"

string
Shift + Return to add a new line

Narrative prompts, one per line. Each line defines a prompt for a certain time in the sequence.

Default: "Silhouettes of valleys \nSilhouettes of hills"

file

Audio file to drive interpolation (optional)

integer

Width of the generated image

Default: 512

integer

Height of the generated image

Default: 512

integer

Random seed

Default: 42

integer

Number of interpolation steps between seeds (ignored if audio_file is provided)

Default: 4

number

Controls how much the audio amplitude affects the image variation (0-1)

Default: 0.3

number

Smoothing factor for audio (0-1, higher = more smoothing)

Default: 0.8

string

Type of audio loudness measurement to use

Default: "peak"

integer

Frames per second for the video

Default: 10

string

Format of the output image

Default: "png"

boolean

Interpolate between prompts instead of switching between them

Default: true

boolean

Loop the interpolation back to the first prompt

Default: false

string

Which model to use for generation

Default: "flux"

number
(minimum: 1, maximum: 20)

Guidance scale for Stable Diffusion model (higher = more adherence to prompt, ignored for FLUX)

Default: 7.5

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.32 to run on Replicate, or 3 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 L40S GPU hardware. Predictions typically complete within 6 minutes. The predict time for this model varies significantly based on the inputs.

Readme

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