You're looking at a specific version of this model. Jump to the model overview.

zhouhaojiang /majicmix_with_lora:e064b5f8

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
1girl,face,curly hair,red hair,white background
Input prompt. The model will generate an image based on this prompt.
negative_prompt
string
nsfw
Specify things to not see in the output
width
integer
512
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
integer
512
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
30

Min: 1

Max: 50

Number of denoising steps.Recommend 25~35
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
image
string
(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.Just One
mask
string
Black and white image to use as mask for inpainting over the image provided. White pixels are inpainted and black pixels are preserved
prompt_strength
number
0.8
(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler.
lora_urls
string
List of urls for safetensors of lora models, seperated with | .
lora_scales
string
0.5
List of scales for safetensors of lora models, seperated with |
seed
integer
Random seed. Leave blank to randomize the seed
disable_safety_checker
boolean
False
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)

Output schema

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

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