बैकरूम

बैकरूम वॉलपेपर: अंतहीन पीले कमरे, पूलरूम, वीएचएस फाउंड-फुटेज स्टिल।

See the effect

बैकरूम template preview

Template facts

आउटपुट
Image
श्रेणी
वायरल
Recommended model
Seedream 5.0 Lite
Inputs
Text prompt

Also available as: बैकरूम (video)

Prompt ideas

Starter ideas from the playground template browser. Each one is a single click there, or a normal prompt on the API. Click an idea to copy it.

How to use it

1. Open the template
Open the playground template browser and pick this template, or open it directly from this page.
2. Describe your scene
Type what you want to see and attach any required media. The template locks in the signature look.
3. Generate
Run it on the recommended model, then download the result or iterate with a new idea.
Playground में आजमाएं

Use it via the API

Pass the template slug on the generation endpoint along with your prompt:

cURL
curl https://api.empiriolabs.ai/v1/images/generations \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedream-5-0-lite",
    "template": "backrooms-image",
    "prompt": "Describe your scene."
  }'
Open the Generation Templates API docs

Common questions

What is this template?

A curated one-click preset that applies this signature look to your own subject or scene. Pick it in the playground template browser or pass its slug on the API and the tuned setup is applied automatically.

Which AI model does it use?

The recommended model shown in the facts above is the one this template was tuned on. Supported alternates can be selected in the playground after picking the template.

Can I use it through the API?

Yes. Pass the template slug shown in the code example on the generation endpoint along with your prompt, and the template is applied to the request.

How much does it cost?

There is no extra template fee. A generation is billed at the normal pay-as-you-go rate of the model you run, the same as any other request.

Ready to use better endpoints?

Check out our pricing or reach out if you want your own model deployed on our stack.