Wrapper around NSFWJS to provide API.
There are docker images bundled with models v3 from https://github.com/gantman/nsfw_model:
ghcr.io/arnidan/nsfw-api:latest- bundled with TensorflowJS 299x299 Image Model (better detection, as for me)ghcr.io/arnidan/nsfw-api:latest-min- bundled with TensorflowJS Quantized 299x299 Image Model (see #39)
Each image is available for linux/amd64 and linux/arm64 platforms.
docker run -p 3000:3000 ghcr.io/arnidan/nsfw-api:latest
docker-compose.yml example
version: "3.9"
services:
nsfw-api:
image: "ghcr.io/arnidan/nsfw-api:latest"
ports:
- "3000:3000"
restart: always- Clone the repo
- Download and unpack model from models repo to
modelfolder yarnyarn buildyarn start
Now app started on port 3000.
- POST /classify
- POST /classify-many
POST /classify HTTP/1.1
Content-Type: multipart/form-dataImage should be provided in image field.
HTTP/1.1 200 OK
Content-Type: application/json
{
"porn": 0.59248286485672,
"sexy": 0.39802199602127075,
"hentai": 0.006243097595870495,
"neutral": 0.0031403270550072193,
"drawing": 0.00011181648733327165
}POST /classify-many HTTP/1.1
Content-Type: multipart/form-dataImages should be provided in images field.
HTTP/1.1 200 OK
Content-Type: application/json
[
{
"porn": 0.3996206820011139,
"neutral": 0.388679563999176,
"sexy": 0.19470958411693573,
"hentai": 0.015063910745084286,
"drawing": 0.001926235854625702
},
{
"sexy": 0.8366416692733765,
"porn": 0.13645528256893158,
"neutral": 0.0222245492041111,
"hentai": 0.004213324282318354,
"drawing": 0.0004651622730307281
},
{
"sexy": 0.8017168045043945,
"porn": 0.1770564466714859,
"neutral": 0.015829339623451233,
"hentai": 0.005097625777125359,
"drawing": 0.00029983260901644826
}
]
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