3 Models Available
How to Remove Backgrounds From Images
Get pixel-perfect background removal in one click — product photos, portraits, logos, and complex scenes. Ecommerce ops gets clean PNG cutouts of every SKU for the PDP, then composites them onto AI-generated lifestyle scenes without a photographer. On Astorie's canvas, route the still through Bria RMBG for a precise alpha cutout, hand the cutout to Nano Banana 2 or Flux Kontext for a chained edit (drop the subject onto a generated lifestyle background), then pass into a video node for animation. The deliverable is marketplace-ready cutouts plus AI lifestyle composites. Pick a model below to walk through the cutout-to-composite pipeline.
The cutout-to-composite pipeline
A cutout on its own is rarely the deliverable. The workflow that actually ships assets is a three-node chain: Bria RMBG produces the transparent PNG, an edit-aware image model (Nano Banana 2 or Flux Kontext) composites the subject onto a new scene with natural shadows and reflections, and an optional video node animates the composite for social or PDP video. Because all three live on one canvas, the cutout never leaves the pipeline — no downloading, no re-uploading, no manual layer masking.
This is also why input quality matters more than any setting. Bria RMBG has zero configurable parameters, so the edge quality you get is decided by the source: use the highest-resolution image available, keep the subject well-lit and separated from the background, and avoid heavy JPEG compression on the source file.
Which model handles which step
Bria RMBG 2.0 owns the cutout step — it handles hair strands, fur, semi-transparent glass, and overlapping objects with edge quality that rivals manual masking. Nano Banana 2 is the composite step for lifestyle scenes and brand backdrops; Flux Kontext is the alternative when the edit brief is outfit, scene, or edge refinement on the cutout itself. For batch work, duplicate the RMBG node per SKU — a 50-100 image catalog runs as one parallel pass.
When you need the tool, not the tutorial
This guide walks the full cutout-to-composite pipeline model by model. If you just want to run a cutout right now, the background-removal tool page covers the operational details — supported inputs, troubleshooting for hair and glass edges, and the recompose chain — while the model pages below go deep on each engine.
Choose a Model to Get Started
Background Removal
Bria RMBG 2.0
Bria RMBG 2.0 is a one-click background removal tool — among the lightest operations on Astorie. It has zero configurable parameters: upload an image, click generate, and receive a transparent PNG cutout. Despite this simplicity, the edge quality rivals professional manual masking in Photoshop, handling hair strands, fur, semi-transparent glass, and complex overlapping objects with precision. The real power comes from chaining it with other nodes on the canvas: remove the background first, then pass the cutout to FLUX Kontext or GPT Image to composite it onto any new scene.
Nano Banana 2
Nano Banana 2 is the right pick when "remove the background" is actually one step in a longer compositing pipeline — not just "I need a transparent PNG." On Astorie, you generate or upload the source image, route through the background removal tool node (which does the cutout), then chain the cutout into Nano Banana 2 for the next step: dropping the subject onto an AI-generated lifestyle scene, swapping the background to a brand-aligned environment, or restyling the cutout in a new aesthetic. Nano Banana 2 accepts up to 10 reference images and outputs at 1K/2K/4K, which makes the compositing step clean even for hero shots. The companion `tools/background-removal` page covers the cutout step in detail; this how-to is the Nano-Banana-paired compositing pipeline.
Black Forest Labs
FLUX Kontext
FLUX Kontext is the right pick when the cutout-and-recompose pipeline must preserve a specific identity exactly — a character's face, a model's outfit, a product's exact silhouette and label. Where Nano Banana 2 re-renders the subject inside the new scene (which can drift slightly), Flux Kontext's entire architecture is built for outfit/scene swaps while preserving identity intact. On Astorie, the pipeline is: source image → background removal tool → Flux Kontext for the recompose step with identity-preservation prompts. Use this scenario specifically when working with branded talent, AI characters that must hold across many composites, or product hero shots where the SKU details cannot drift.
Frequently Asked Questions
What format does the cutout come out as?
A transparent PNG at the same resolution as the input. It can be downloaded directly for design tools, or chained on the canvas into Nano Banana 2 or Flux Kontext for compositing onto a new scene.
Can I batch-remove backgrounds for a whole product catalog?
Yes. Duplicate the Bria RMBG node per image and run them in parallel — background removal is one of the lightest operations on Astorie, so a 50-100 SKU catalog completes as a quick batch.
How well does it handle hair, fur, and glass?
Bria RMBG preserves individual hair strands and gives semi-transparent objects appropriate alpha levels. The hardest cases are wispy hair on very busy backgrounds and subjects blending into similar-colored backgrounds — use a higher-resolution source or a tighter crop for those.
What if the cutout needs to sit on a new background?
Chain the transparent PNG into a Flux Kontext or Nano Banana 2 node and describe the target scene in the prompt. The model composites the subject with natural shadows and reflections — the two-node RMBG-to-Kontext pipeline replaces a photographer, a studio, and a designer for routine PDP work.