The LoRA customized model of FLUX.2 Dev editing version, combining 32-billion parameter high-precision editing capabilities with lightweight adapter flexibility. Supports injection of specific styles or brand visuals through LoRA modules, achieving personalized editing while maintaining multi-reference consistency and 4MP high resolution. Ideal for professional teams needing to batch process product image stylization, maintain character cross-project consistency, and conduct seasonal marketing campaign asset updates, providing "high-precision + high-efficiency + personalization" integrated editing solutions.
Request
Authorization
Header Params
Body Params application/jsonRequired
Example
{"51##image":"example.png","16##text":"Turn the image into a flat style","47##select":"1","48##value":1024,"49##value":1024,"18##lora_name":"扁平风场景插画_v2.0.safetensors","18##strength_model":0,"52##file_type":"PNG"}
Request Code Samples
Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl--location--request POST 'https://www.runninghub.ai/openapi/v2/rhart-image/f-2-dev/edit-lora' \
--header'Authorization: Bearer [Your API KEY]' \
--header'Authorization: Bearer [Your API KEY]' \
--header'Content-Type: application/json' \
--data-raw'{
"51##image": "example.png",
"16##text": "Turn the image into a flat style",
"47##select": "1",
"48##value": 1024,
"49##value": 1024,
"18##lora_name": "扁平风场景插画_v2.0.safetensors",
"18##strength_model": 0,
"52##file_type": "PNG"
}'