asiryan / juggernaut-xl-v7

Juggernaut XL v7 Model (Text2Img, Img2Img and Inpainting)

  • Public
  • 338.1K runs
  • A100 (80GB)
  • GitHub
  • License

Input

string
Shift + Return to add a new line

Input prompt

Default: "abstract beauty, centered, looking at the camera, approaching perfection, dynamic, moonlight, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by Carne Griffiths and Wadim Kashin"

string
Shift + Return to add a new line

Negative Input prompt

Default: "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)"

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

integer
(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

string

scheduler

Default: "K_EULER_ANCESTRAL"

integer
(minimum: 1, maximum: 500)

Number of denoising steps

Default: 40

number
(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7

number
(minimum: 0, maximum: 1)

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

Default: 0.8

integer

Random seed. Leave blank to randomize the seed

Including lora_scale and 1 more...

Output

output
Generated in

Run time and cost

This model costs approximately $0.0014 to run on Replicate, or 714 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 A100 (80GB) GPU hardware. Predictions typically complete within 1 seconds.

Readme

Juggernaut XL v7 Model (Text2Img, Img2Img and Inpainting)