prunaai/z-image-lora

A Lora version of z-image, an Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Public
268 runs

Run prunaai/z-image-lora 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
Text prompt for image generation
negative_prompt
string
Negative prompt to specify what you don't want in the image
height
integer
1024

Min: 64

Max: 2048

Height of the generated image
width
integer
1024

Min: 64

Max: 2048

Width of the generated image
num_inference_steps
integer
28

Min: 1

Max: 50

Number of inference steps. Recommended range: 28-50
guidance_scale
number
4

Max: 20

Guidance scale for classifier-free guidance. Recommended range: 3.0-5.0
seed
integer
Random seed. Set for reproducible generation
lora_weights
array
LoRA weights as an array of URLs. Supports .safetensors URLs, tar files, and zip files (e.g., ['https://example.com/lora1.safetensors', 'https://example.com/lora2.safetensors'])
lora_scales
array
Scales for each LoRA as an array of floats. Must match the number of lora_weights. Defaults to 1.0 for each if not provided.
output_format
None
jpg
Format of the output images
output_quality
integer
80

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

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"
}