사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-multi-angle-shots시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Multi-Angle Shots
Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_name | text | yes | — | The product to photograph (e.g. "black leather sneaker", "glass perfume bottle", "smartwatch"). |
product_image | image_url | no | — | Optional reference product image to use as base. |
background_style | text | no | pure white studio | Background/environment (e.g. "pure white studio", "dark moody grey", "natural marble surface", "lifestyle context"). |
lighting | text | no | soft studio lighting, product photography | Lighting style (e.g. "dramatic side lighting", "flat lay top-down", "rim lighting", "natural daylight"). |
category | text | no | general product | Product category to tailor angle logic (e.g. "footwear", "watch/jewelry", "electronics", "beverage bottle", "skincare"). |
Steps
Submit a single the plan with all angles in parallel.
All Angles (Parallel)
- Front view —
muapi image generate(model=ai-product-photography) if{{product_image}}provided, elsemuapi image generate(model=nano-banana-pro):
- Prompt:
{{product_name}} — perfectly centered FRONT VIEW, eye-level angle. {{background_style}} background. {{lighting}}. Sharp focus, commercial product photography, ultra detailed, no props. - Aspect ratio: 1:1
- Side / 3/4 angle view — same model as step 1:
- Prompt:
{{product_name}} — elegant 3/4 SIDE ANGLE view, slight perspective showing depth and form. {{background_style}} background. {{lighting}}. Shows product silhouette and side detail, commercial photography. - Aspect ratio: 1:1
- Back view — same model as step 1:
- Prompt:
{{product_name}} — BACK VIEW, centered, showing rear details, finishes, and labels if any. {{background_style}} background. {{lighting}}. Product photography, equal detail to front shot. - Aspect ratio: 1:1
- Top-down / flat lay —
muapi image generate(model=ai-product-shot) if{{product_image}}provided, elsemuapi image generate(model=bytedance-seedream-v4.5):
- Prompt:
{{product_name}} — perfectly overhead TOP-DOWN flat lay view, camera pointing straight down. {{background_style}} surface. Flat lay product photography, even lighting, no shadows at edges, symmetrically placed. - Aspect ratio: 1:1
- Hero glamour shot —
muapi image generate(model=nano-banana-pro):
- Prompt:
{{product_name}} — dynamic low-angle HERO SHOT, slightly below eye level looking up at product. Dramatic {{lighting}}, slight depth of field, editorial product photography. {{background_style}} background. Premium commercial advertising quality. - Aspect ratio: 4:5
After generation:
- Present all 5 angles in a grid layout description
- Suggest adding a 360° spin video with
kling-v3.0-pro-image-to-video - Offer to upscale any angle with
ai-image-upscaler
Notes
- For footwear: emphasize sole view as a 6th angle if requested.
- For watches/jewelry: suggest a macro detail shot as an additional step.
- For electronics: add "showing all ports, buttons, and screen" to front and side prompts.
ai-product-photographyis ideal when a reference image is provided — it preserves product identity.
Trigger Keywords
multi angle, multiple angles, 360 product, product angles, all sides, front back side, product views, angle shots, product photography set
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
