tgohblio / instant-id-albedobase-xl

InstantID : Zero-shot Identity-Preserving Generation in Seconds with ⚡️LCM-LoRA⚡️. Using AlbedoBase-XL v2.0 as base model.

  • Public
  • 172.9K runs
  • L40S
  • GitHub
  • Paper
  • License

Input

image
*file

Input image

string
Shift + Return to add a new line

Input prompt

Default: "analog film photo of a man. faded film, desaturated, 35mm photo, grainy, vignette, vintage, Kodachrome, Lomography, stained, highly detailed, found footage, masterpiece, best quality"

string
Shift + Return to add a new line

Input Negative Prompt

Default: ""

integer
(minimum: 512, maximum: 2048)

Width of output image

Default: 640

integer
(minimum: 512, maximum: 2048)

Height of output image

Default: 640

number
(minimum: 0, maximum: 1)

Scale for IP adapter

Default: 0.8

number
(minimum: 0, maximum: 1)

Scale for ControlNet conditioning

Default: 0.8

integer
(minimum: 1, maximum: 30)

Number of denoising steps. With LCM-LoRA, optimum is 6-8.

Default: 6

number
(minimum: 0, maximum: 10)

Scale for classifier-free guidance. With LCM-LoRA, optimum is 0-5.

Default: 0

boolean

Safety checker is enabled by default. Un-tick to expose unfiltered results.

Default: true

Output

output
Generated in

Run time and cost

This model costs approximately $0.0072 to run on Replicate, or 138 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 8 seconds.

Readme

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