network/com.shifthackz.aisdv1.network.request/ImageToImageRequest

ImageToImageRequest

@Serializable

data class ImageToImageRequest(val initImages: List<String>, val includeInitImages: Boolean, val mask: String?, val inPaintingMaskInvert: Int?, val inPaintFullResPadding: Int?, val inPaintingFill: Int?, val inPaintFullRes: Boolean?, val maskBlur: Int?, val denoisingStrength: Float, val prompt: String, val negativePrompt: String, val steps: Int, val cfgScale: Float, val width: Int, val height: Int, val batchSize: Int, val restoreFaces: Boolean, val seed: String?, val subSeed: String?, val subSeedStrength: Float?, val samplerIndex: String)(source)

Carries ImageToImageRequest data through the SDAI network layer.

Author

Dmitriy Moroz

Constructors

ImageToImageRequest

constructor(initImages: List<String>, includeInitImages: Boolean, mask: String?, inPaintingMaskInvert: Int?, inPaintFullResPadding: Int?, inPaintingFill: Int?, inPaintFullRes: Boolean?, maskBlur: Int?, denoisingStrength: Float, prompt: String, negativePrompt: String, steps: Int, cfgScale: Float, width: Int, height: Int, batchSize: Int, restoreFaces: Boolean, seed: String?, subSeed: String?, subSeedStrength: Float?, samplerIndex: String)

Properties

batchSize

@SerialName(value = "batch_size")

val batchSize: Int

Exposes the batchSize value used by the SDAI network layer.

cfgScale

@SerialName(value = "cfg_scale")

val cfgScale: Float

Exposes the cfgScale value used by the SDAI network layer.

denoisingStrength

@SerialName(value = "denoising_strength")

val denoisingStrength: Float

Exposes the denoisingStrength value used by the SDAI network layer.

height

@SerialName(value = "height")

val height: Int

Exposes the height value used by the SDAI network layer.

includeInitImages

@SerialName(value = "include_init_images")

val includeInitImages: Boolean

Exposes the includeInitImages value used by the SDAI network layer.

initImages

@SerialName(value = "init_images")

val initImages: List<String>

Exposes the initImages value used by the SDAI network layer.

inPaintFullRes

@SerialName(value = "inpaint_full_res")

val inPaintFullRes: Boolean?

Exposes the inPaintFullRes value used by the SDAI network layer.

inPaintFullResPadding

@SerialName(value = "inpaint_full_res_padding")

val inPaintFullResPadding: Int?

Exposes the inPaintFullResPadding value used by the SDAI network layer.

inPaintingFill

@SerialName(value = "inpainting_fill")

val inPaintingFill: Int?

Exposes the inPaintingFill value used by the SDAI network layer.

inPaintingMaskInvert

@SerialName(value = "inpainting_mask_invert")

val inPaintingMaskInvert: Int?

Exposes the inPaintingMaskInvert value used by the SDAI network layer.

mask

@SerialName(value = "mask")

val mask: String?

Exposes the mask value used by the SDAI network layer.

maskBlur

@SerialName(value = "mask_blur")

val maskBlur: Int?

Exposes the maskBlur value used by the SDAI network layer.

negativePrompt

@SerialName(value = "negative_prompt")

val negativePrompt: String

Exposes the negativePrompt value used by the SDAI network layer.

prompt

@SerialName(value = "prompt")

val prompt: String

Exposes the prompt value used by the SDAI network layer.

restoreFaces

@SerialName(value = "restore_faces")

val restoreFaces: Boolean

Exposes the restoreFaces value used by the SDAI network layer.

samplerIndex

@SerialName(value = "sampler_index")

val samplerIndex: String

Exposes the samplerIndex value used by the SDAI network layer.

seed

@SerialName(value = "seed")

val seed: String?

Exposes the seed value used by the SDAI network layer.

steps

@SerialName(value = "steps")

val steps: Int

Exposes the steps value used by the SDAI network layer.

subSeed

@SerialName(value = "subseed")

val subSeed: String?

Exposes the subSeed value used by the SDAI network layer.

subSeedStrength

@SerialName(value = "subseed_strength")

val subSeedStrength: Float?

Exposes the subSeedStrength value used by the SDAI network layer.

width

@SerialName(value = "width")

val width: Int

Exposes the width value used by the SDAI network layer.