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bria-skill

제작: Bria-AI · Bria-AI/bria-skill

Commercial-grade image generation + editing: 18+ capabilities including object replace, background remove (RMBG-2.0), upscale, restyle, relight, product photography — 37+ agent compatibility.

Bria skill wraps Bria AI's commercial-safe image stack (Fibo, RMBG-2.0, VGL structured prompts) for AI coding agents. Covers text-to-image, object-level editing (replace/remove by name), background removal to transparent PNG, 2x/4x upscaling, relighting, restyling, and product photography. Pipeline chaining lets you compose ops. Free tier available.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

bria-skill.replay ▶ 준비됨
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설치

작성자 저장소 · Claude Skills 공식 문서

사용 사례

실전 활용법: bria-skill

Turn a phone-shot product photo into a studio-quality listing image

👤 E-commerce teams without a photo budget ⏱ ~30 min beginner

언제 쓸까: You have a product photo but it needs studio treatment.

사전 조건
  • Bria API key — Sign up at platform.bria.ai; free tier available
  • Skill installed — npx skills add bria-ai/bria-skill OR clone directly
흐름
  1. Remove background
    Use bria-skill RMBG-2.0 on product.jpg — clean transparent PNG.✓ 복사됨
    → Transparent PNG returned
  2. Relight + restyle
    Composite onto a soft-gradient background, three-quarter lighting, subtle shadow.✓ 복사됨
    → Studio-grade output
  3. Upscale for hero
    Upscale 2x for the product page hero.✓ 복사됨
    → High-res final

결과: Listing-ready hero image in minutes.

함정
  • Over-editing kills the real product — Keep changes subtle; customers spot over-smoothing

Replace or remove an object in an image by name

👤 Marketers iterating on creatives ⏱ ~10 min beginner

언제 쓸까: You have an image but one element is wrong.

흐름
  1. Describe the edit
    In scene.jpg, replace the coffee mug on the desk with a water bottle.✓ 복사됨
    → Edit applied; surrounding context preserved

결과: Clean edit that doesn't look photoshopped.

함정
  • Ambiguous object references ('the blue thing') — Be specific — 'the mug in the lower-left'

Adjust lighting / season for a campaign variant

👤 Content teams refreshing campaigns ⏱ ~20 min intermediate

언제 쓸까: Existing campaign shot; need a winter variant without a reshoot.

흐름
  1. Relight
    Take campaign.jpg; change lighting to golden-hour low-angle.✓ 복사됨
    → Lighting shifted convincingly
  2. Seasonal touches
    Add subtle snow / winter atmosphere without changing the subject.✓ 복사됨
    → Seasonal variant

결과: Campaign variant shipped in one chat.

조합

다른 MCP와 조합해 10배 효율

Generate novel visuals with the other skill, then refine edits with Bria's deterministic ops

Generate with Nano Banana; run bria remove_background + relight.✓ 복사됨
bria-skill + filesystem

Batch over a directory of product shots

Run the product-photography pipeline on every jpg in products/.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
text_to_image prompt (VGL structured ok) New visual Bria credits
remove_background image Need cutout Bria credits
object_replace image, target name, replacement Change specific item Bria credits
upscale image, factor (2x|4x) Before print / hero Bria credits
restyle image, style ref Campaign variants Bria credits
relight image, lighting descriptor Atmosphere change Bria credits
pipeline ordered ops Multi-step edits Sum of ops

비용 및 제한

운영 비용

API 쿼터
Bria free tier + paid credits
호출당 토큰
Low orchestration; Bria cost dominates
금액
Free tier generous for small tests; paid for production
팁
Pipeline ops efficiently — remove_background + upscale in one chain amortizes setup

보안

권한, 시크릿, 파급범위

자격 증명 저장: BRIA_API_KEY in env
데이터 외부 송신: Images go to platform.bria.ai

문제 해결

자주 발생하는 오류와 해결

Object replace misses the target

Be more specific in the target description; add position hints

RMBG artifacts on fine hair / fur

Use a refine pass or second model specialized for hair

401

BRIA_API_KEY missing/expired

확인: curl -H 'api-token: $BRIA_API_KEY' https://engine.prod.bria-api.com/v1/account

대안

bria-skill 다른 것과 비교

대안언제 쓰나단점/장점
Ultimate AI Media GeneratorYou want multi-model generation more than clean editing primitivesLess commercial-safe by default

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리소스

📖 GitHub에서 공식 README 읽기

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