prompthunt / dreambooth-batch-pose-2

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  • 7 runs

Run prompthunt/dreambooth-batch-pose-2 with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

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
prompt
string
Photo of cjw
Input prompt
negative_prompt
string
duplicates, artificial looking, deformed eyes, naked+, nsfw, offensive, ugly+, overexposed, ((deformed iris)++, (deformed pupils)++, (mutated hands)+, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime+)++, text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, long neck, undressed
Input Negative Prompt
num_inference_steps
integer
25

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
3

Min: 1

Max: 50

Scale for classifier-free guidance
inpaint_prompt
string
A photo of cjw
Input inpaint prompt
inpaint_negative_prompt
string
plastic, blurry, grainy, [deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry
Input inpaint negative prompt
inpaint_num_inference_steps
integer
25

Min: 1

Max: 500

Number of denoising steps for inpainting
second_inpaint_num_inference_steps
integer
25

Min: 1

Max: 500

Number of denoising steps for inpainting
inpaint_guidance_scale
number
3

Min: 1

Max: 50

Scale for classifier-free guidance for inpainting
second_inpaint_guidance_scale
number
3

Min: 1

Max: 50

Scale for classifier-free guidance for inpainting
inpaint_strength
number
0.35

Max: 1

Prompt strength when using inpaint. 1.0 corresponds to full destruction of information in image
second_inpaint_strength
number
0.35

Max: 1

Prompt strength when using inpaint. 1.0 corresponds to full destruction of information in image
width
integer
768
Width of output image
height
integer
1024
Height of output image
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
scheduler
string (enum)
DPM++SDEKarras

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, KerrasDPM, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep, DPM++SDEKarras

scheduler
seed
integer
Random seed. Leave blank to randomize the seed
pose_image
string
pose_image
mask_blur_amount
number
8
Amount to blur the inpaint mask by
crop_mask_padding
number
0.5

Max: 5

crop_mask_padding
weights
string
Trained model weights to use.
model
string (enum)
1.5

Options:

1.5, 2.1

Model

Output schema

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

Schema
{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}