pollinations/stable-diffusion-dance:78ccb777

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The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field	Type	Default value	Description
prompts	string	Rainbow synthesizer in mountain by Henri Rousseau colors in the style of Henri Rousseau Two chimney by Henri Rousseau Pride by Henri Rousseau Envy by Henri Rousseau	None
audio_file	string		input audio file
prompt_scale	number	5	Determines influence of your prompt on generation.
num_frames_per_prompt	integer	128	Number of frames to generate per prompt (limited to a maximum of 15 for now because we are experiencing heavy use).
random_seed	integer	42	Each seed generates a different image
diffusion_steps	integer	10	Number of diffusion steps. Higher steps could produce better results but will take longer to generate. Maximum 30 (using K-Euler-Diffusion).
width	integer	512	Width of the generated image. The model was really only trained on 512x512 images. Other sizes tend to create less coherent images.
height	integer	512	Height of the generated image. The model was really only trained on 512x512 images. Other sizes tend to create less coherent images.
init_image	string		input image
init_image_strength	number	0.7	How strong to apply the input image. 0 means disregard the input image mostly and 1 copies the image exactly. Values in between are interesting.

The shape of the response you’ll get when you run this model with an API.

Schema

{'format': 'uri', 'title': 'Output', 'type': 'string'}