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zhouhaojiang /majicmix_with_lora:f34b2c67
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'}