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prunaai /flux.1-dev-lora:bbfeddb8

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
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 of the output image
image
string
Input image for image to image mode. The aspect ratio of your output will match this image
prompt_strength
number
0.8

Max: 1

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
num_outputs
integer
1

Min: 1

Max: 4

Number of outputs to generate
num_inference_steps
integer
28
Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster.
guidance
number
3

Max: 10

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

Options:

png, jpg, webp

Format of the output images
output_quality
integer
80

Min: 1

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
speed_mode
string (enum)
Juiced 🧃

Options:

Base Model (compiled), Lightly Juiced 🍊, Juiced 🧃, Extra Juiced 🔥

Speed optimization level
lora
string
Load LoRA weights. Supports HuggingFace URLs in the format <owner>/<model-name>[/<lora-weights-file.safetensors>]. 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.
extra_lora
string
Load LoRA weights. Supports HuggingFace URLs in the format <owner>/<model-name>[/<lora-weights-file.safetensors>]. For example, 'fofr/flux-pixar-cars'.
extra_lora_scale
number
1

Min: -1

Max: 3

Determines how strongly the extra 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.
megapixels
string (enum)
1

Options:

1, 0.25

Approximate number of megapixels for generated image

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'}