# Bria Generate

> Run Bria Generate by bria online or via API. $0.03/image, no setup.

**URL:** https://inference.sh/apps/bria/generate
**Last updated:** 2026-11-11

---

Generate images from text prompts using Bria Fibo

- app: `bria/generate`
- maker: [bria](https://inference.sh/apps/bria.md)
- category: [image](https://inference.sh/apps/category/image.md)
- input → output: text → image
- tasks: [text to image](https://inference.sh/apps/tag/text-to-image.md)
- price: $0.03/image
- runs via: api, javascript and python sdk, belt cli, mcp

## generate API Guide

### About
generate images from text prompts using bria fibo

### Get an API Key
Create one in [settings → api keys](https://app.inference.sh/settings/keys). The examples read it from `INFERENCE_API_KEY`.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Run and Get Result
Submit a request and wait for the final result.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @30x8tvf9 pinned
result = client.run({
        "app": "bria/generate@30x8tvf9",
        "input": {}
    })

print(result["output"])
```

#### Stream Live Updates
Get real-time progress updates as the task runs.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @30x8tvf9 pinned
## stream=True yields updates as they arrive
for update in client.run({
        "app": "bria/generate@30x8tvf9",
        "input": {}
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

#### Run in the Background
Start the task and get its id back right away, then check on it with `GET /tasks/{id}`. It is done when `status` is 10 (completed), 11 (failed) or 12 (cancelled).

```python
import os
from inferencesh import inference, TaskStatus

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## returns as soon as the task is created
task = client.run({
        "app": "bria/generate@30x8tvf9",
        "input": {}
    }, wait=False)

## later: read its current state
state = client.tasks.get(task["id"]).data
if state["status"] == TaskStatus.COMPLETED:
    print(state["output"])
```

### 2. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "bria/generate@30x8tvf9",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 3. Schema

#### Input
- **prompt** (string): Text instruction for image generation
- **images** (array): Reference images for guided generation
- **num_results** (integer): Number of images to generate
- **sync** (boolean): Wait for result synchronously
- **aspect_ratio** (string): Output aspect ratio (e.g. 1:1, 16:9)
- **resolution** (string): Output resolution: 1MP or 4MP
- **guidance_scale** (integer): How closely to follow prompt (3-5)
- **steps_num** (integer): Diffusion iterations (1-50)
- **seed** (integer): Seed for reproducibility (0-2147483647)
- **output_type** (string): Output format: png or jpeg

#### Output
- **image** (string): Generated image
- **seed** (integer): Seed used for generation
- **structured_prompt** (string): Structured prompt used for generation

## other image apps

- [Seedream 5.5](https://inference.sh/apps/bytedance/seedream-5-5.md): $0.020 per 1K/1.5K image, $0.035 per 2K image, plus $0.008 per reference image
- [MiniMax H3 Image](https://inference.sh/apps/minimax/h3-image.md): $2.30/M text in, $1.50/M image in, $3.80/M image out (token-based)
- [GPT Image 2.6 Flare](https://inference.sh/apps/openai/gpt-image-2-6-flare.md): $30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG output
- [GPT Image 2.6 Sunburst](https://inference.sh/apps/openai/gpt-image-2-6-sunburst.md): $30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out
- [Gemini Nano Banana 2.1](https://inference.sh/apps/google/gemini-nano-banana-2-1.md): $1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search

## faq

### how much does Bria Generate cost?

$0.03/image. you pay per run from your inference shell credits. no subscription is required.

### how do I run Bria Generate via api?

call bria/generate with the javascript or python sdk, the rest api, or `belt app run bria/generate` from a terminal. the api reference on this page lists every input.

### who makes Bria Generate?

Bria Generate is made by bria and runs on inference shell. every bria app is listed at https://inference.sh/apps/bria.

### can my agent use Bria Generate?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to Bria Generate?

other image apps on inference shell include Seedream 5.5, MiniMax H3 Image, GPT Image 2.6 Flare, GPT Image 2.6 Sunburst. they run through the same api, so switching is a one-line change.