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zhangp365 /flux-redux-dev-lora:ed8a380c

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
redux_image
string
Input image to condition your output on. This replaces prompt for FLUX.1 Redux models
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

Aspect ratio for the generated image
num_outputs
integer
1

Min: 1

Max: 4

Number of outputs to generate
num_inference_steps
integer
28

Min: 1

Max: 50

Number of denoising steps. Recommended range is 28-50
guidance
number
3

Max: 10

Guidance for generated image
seed
integer
Random seed. Set for reproducible generation
output_format
string (enum)
webp

Options:

webp, jpg, png

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
disable_safety_checker
boolean
False
Disable safety checker for generated images.
megapixels
string (enum)
1

Options:

1, 0.25

Approximate number of megapixels for generated image
lora_weights
string
Load LoRA weights. 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'
lora_scale
number
1

Min: -1

Max: 3

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

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'}