Flux-V1-Pro-Depth（Depth consistency）

正式环境

https://api.302.ai

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

请求参数

Header 参数

Body 参数application/json

示例

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

示例代码

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 ' \
--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": ""
}'

返回响应

🟢200OK

application/json

Body

示例

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

修改于 2025-08-13 06:39:52

Flux-V1-Pro-Canny（Object consistency）

Flux-V1-Pro-Fill（Partial repainting）