Self-host Fibo 2

Run Fibo 2 image generation and editing on your own hardware with a self-hosted license. One license covers both generating and editing images. This guide installs the model, downloads its weights from Bria, and runs a first generation.

• An active Fibo 2 self-hosted license (pricing)
• One of your organization's API keys
• A machine with an NVIDIA GPU and Python 3.10 or newer (the weights are about 26 GB)
• A Google Vertex AI project — Fibo 2 expands your prompt into a structured VGL prompt on Gemini through your own Vertex AI, so it needs VERTEXAI_PROJECT, VERTEXAI_LOCATION and GOOGLE_APPLICATION_CREDENTIALS
• For the manual install: curl and jq, and network access to the Bria Engine, AWS CodeArtifact and Bria's weights CDN (no Hugging Face account)

Buy a Fibo 2 license on the pricing page. You manage it, and see the installation steps, on the Licenses tab in the Console.

npx @bria-ai/studio

Set your Vertex AI credentials so Fibo 2 can expand prompts:

export VERTEXAI_PROJECT="<your-gcp-project>"
export VERTEXAI_LOCATION="<region>"            # e.g. us-central1
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"

Run from the environment the model is installed in. If you used Studio, activate the venv it created:

source ~/.bria/venvs/fibo-2/bin/activate

Then load the model with your API key and generate an image. On first load setup() checks your license and downloads the weights to ~/.bria/models; later runs reuse them.

import os
from fibo_2 import Fibo2Config, Fibo2Input, Fibo2Pipeline

# Reads BRIA_API_TOKEN; checks the license and downloads ~26 GB of weights on first load.
pipeline = Fibo2Pipeline(config=Fibo2Config(api_token=os.environ["BRIA_API_TOKEN"]))
pipeline.setup()

# Generate from a prompt.
result = pipeline.execute(Fibo2Input(prompt="A red bicycle leaning against a white brick wall", seed=42))
result.image.save("output.png")

# Edit: pass the image back in with an instruction.
edited = pipeline.execute(Fibo2Input(images=[result.image], prompt="Make the bicycle blue", seed=42))
edited.image.save("edited.png")

Fibo2Input takes a free-form prompt (expanded to VGL on your Vertex AI), plus optional images, style and seed. Inputs and outputs stay on your machine — only a small attribution vector is sent to Bria.

Self-hosted runs are counted against your Fibo 2 license and shown in Usage & billing in the Console, tagged as self-hosted. See Self-hosted models for how licensing and billing work across models.