Flux-V1-Pro-Depth（Depth consistency）

POST

/302/submit/flux-v1-pro-depth

Structural adjustment uses depth detection to maintain precise control during image transformation. By preserving the structure of the original image through depth maps, users can perform text-guided edits while keeping the core composition intact. This is particularly effective for retexturing images.
A company called Black Forest Labs, founded by former Stability.ai members, focuses on image processing. from：https://blackforestlabs.ai/
Average runtime10-20s

Price：0.1 PTC/call

Request

Header Params

Authorization

string

required

Example:

Bearer {{YOUR_API_KEY}}

Body Params application/json

prompt

string

required

num_inference_steps

integer

optional

1-50, default 28

guidance_scale

number

optional

1-20, default 3.5

output_format

string

optional

jpeg/png

control_image_url

string

required

Example

{
  "prompt": "A red car",
  "num_inference_steps": 28,
  "guidance_scale": 3.5,
  "output_format": "jpeg",
  "control_image_url": ""
}

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.302.ai/302/submit/flux-v1-pro-depth' \
--header 'Authorization: Bearer sk-jls4AaVBGoe1GwZD64qZA1qyKTN1MPHa4NmvH1cT68z7K1Zz' \
--header 'Content-Type: application/json' \
--data-raw '{
  "prompt": "A red car",
  "num_inference_steps": 28,
  "guidance_scale": 3.5,
  "output_format": "jpeg",
  "control_image_url": ""
}'

Responses

🟢200OK

application/json

Body

images

array [object {4}]

required

url

string

optional

width

integer

optional

height

integer

optional

content_type

string

optional

timings

object

required

seed

integer

required

has_nsfw_concepts

array[boolean]

required

prompt

string

required

Example

{
  "images": [
    {
      "url": "string",
      "width": 0,
      "height": 0,
      "content_type": "string"
    }
  ],
  "timings": {},
  "seed": 0,
  "has_nsfw_concepts": [
    true
  ],
  "prompt": "string"
}

Flux-V1-Pro-Canny（Object consistency）

Flux-V1-Pro-Fill（Partial repainting）