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tonyhopkins994 /sdxl-prod:2f009669

Input

string
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Input prompt

Default: "Living Room"

string
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Negative Prompt

Default: "blurry, distorted"

file

Input image for img2img or inpaint mode

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

integer

Width of output image

Default: 1024

integer

Height of output image

Default: 1024

string

Decide how to resize images – use width/height, resize based on input image or control image

Default: "width_height"

integer
(minimum: 1, maximum: 6)

Number of images to output

Default: 1

string

scheduler

Default: "KarrasDPM"

integer
(minimum: 1, maximum: 500)

Number of denoising steps

Default: 30

number
(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

number
(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

string
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Random seed. Leave blank to randomize the seed

Default: "-1"

string

Which refine style to use

Default: "no_refiner"

integer

For base_image_refiner, the number of steps to refine, defaults to num_inference_steps

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: false

number
(minimum: 0, maximum: 1)

LoRA additive scale. Only applicable on trained models.

Default: 0.6

string
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Replicate LoRA weights to use. Leave blank to use the default weights.

boolean

This model’s safety checker can’t be disabled when running on the website. Learn more about platform safety on Replicate.

Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)

Default: false

string

Controlnet

Default: "none"

string
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Input image for first controlnet, base64 encoded string

number
(minimum: 0, maximum: 4)

How strong the controlnet conditioning is

Default: 0.75

number
(minimum: 0, maximum: 1)

When controlnet conditioning starts

Default: 0

number
(minimum: 0, maximum: 1)

When controlnet conditioning ends

Default: 1

string

Controlnet

Default: "none"

string
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Input image for second controlnet, base64 encoded string

number
(minimum: 0, maximum: 4)

How strong the controlnet conditioning is

Default: 0.75

number
(minimum: 0, maximum: 1)

When controlnet conditioning starts

Default: 0

number
(minimum: 0, maximum: 1)

When controlnet conditioning ends

Default: 1

string

Controlnet

Default: "none"

string
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Input image for third controlnet, base64 encoded string

number
(minimum: 0, maximum: 4)

How strong the controlnet conditioning is

Default: 0.75

number
(minimum: 0, maximum: 1)

When controlnet conditioning starts

Default: 0

number
(minimum: 0, maximum: 1)

When controlnet conditioning ends

Default: 1

string
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Input image for ip_adapter, base64 encoded string

number

IP adapter guidance strength

Default: 0.5

Output

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