mandelavybe / sierrastjulian

  • Public
  • 16 runs
  • Fine-tune
Run with an API
Playground API Examples README Versions

Run mandelavybe/sierrastjulian 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
Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
image
string
Input image for img2img or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
mask
string
Input mask for inpainting mode. Black areas will be preserved, white areas will be inpainted. Must be provided along with 'image' for inpainting mode.
aspect_ratio
string (enum)
1:1

Options:

1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21, custom

Aspect ratio for the generated image in text-to-image mode. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'. Note: Ignored in img2img and inpainting modes.
width
integer

Min: 256

Max: 1440

Width of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16). Note: Ignored in img2img and inpainting modes.
height
integer

Min: 256

Max: 1440

Height of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16). Note: Ignored in img2img and inpainting modes.
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
lora_scale
number
1

Min: -1

Max: 2

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1.
num_inference_steps
integer
28

Min: 1

Max: 50

Number of inference steps. More steps can give more detailed images, but take longer.
model
string (enum)
dev

Options:

dev, schnell

Which model to run inferences with. The dev model needs around 28 steps but the schnell model only needs around 4 steps.
guidance_scale
number
3.5

Max: 10

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
prompt_strength
number
0.8

Max: 1

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
seed
integer
Random seed. Set for reproducible generation.
extra_lora
string
Combine this fine-tune with another LoRA. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
extra_lora_scale
number
1

Min: -1

Max: 2

Determines how strongly the extra LoRA should be applied.
output_format
string (enum)
webp

Options:

webp, jpg, png

Format of the output images.
output_quality
integer
90

Max: 100

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
disable_safety_checker
boolean
False
Disable safety checker for generated images.

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"
}