muapi-multi-angle-reshoot

SamurAIGPT/Generative-Media-Skills · Agent Skill

從各種角度（魚眼、鳥瞰、低角度、微距）重新創建主體或場景，同時保留身份和細節。

前往安裝 ↓

安裝選項

預設為含檢閱步驟的提示。您可以切換到直接指令。

透過 Claude 或 Codex 安裝

複製提示，貼入 Claude、Codex 或其他助手，它會檢視技能頁面並安裝。

I'd like to install this Claude Code skill:
https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/multi-angle-reshoot

Please review the SKILL.md file, verify the skill is legitimate, then copy the skill folder into .claude/skills/ of my project.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Multi-Angle Reshoot

Re-render a subject or scene from multiple dramatic camera angles, such as fish-eye, bird's-eye, low-angle, and macro, while maintaining consistent identity and detail.

Inputs

| Name | Type | Required | Default | Description |

|:---|:---|:---|:---|:---|

| subject_description | text | yes | — | Description of the subject or scene (e.g. "a professional woman in a black suit holding a laptop"). |

| reference_image | image_url | no | — | Optional reference image to maintain consistency across angles. |

Steps

Phase A — Subject Establishment

If {{reference_image}} is not provided, submit the plan with ONE step to create the base subject:

1. Subject Generation — muapi image generate (model=nano-banana-pro):

  • Prompt: A high-quality, professional photograph of {{subject_description}}. Clean studio lighting, sharp focus, realistic textures, cinematic quality.
  • Aspect ratio: 3:4 or 1:1

Present the base image to the user for approval.

Phase B — Multi-Angle Reshoot

Once the subject is established, submit the plan using muapi image edit (model=nano-banana-2-edit) to generate the requested angles. Use the approved image from Phase A as the reference for ALL steps.

1. Bird's Eye View

  • Reference: Base Image
  • Prompt: A dramatic bird's eye view (from directly above) of the same subject. High-angle perspective, wide shot, looking down. Maintain exact clothing, face, and setting consistency.

2. Fish Eye Lens

  • Reference: Base Image
  • Prompt: A high-distortion fish-eye lens photograph of the same subject. Ultra-wide angle, curved edges, dramatic perspective, immersive feel. Maintain exact clothing and face consistency.

3. Low Angle (Hero Shot)

  • Reference: Base Image
  • Prompt: A low-angle "hero shot" looking up at the subject. Makes the subject appear powerful and dominant. Maintain exact clothing and face consistency.

4. Dutch Angle

  • Reference: Base Image
  • Prompt: A stylized Dutch angle (tilted horizon) photograph of the same subject. Cinematic, slightly uneasy or dramatic vibe. Maintain exact clothing and face consistency.

5. Macro Close-up

  • Reference: Base Image
  • Prompt: An extreme macro close-up focused on a specific detail of the subject (e.g., eyes, texture of the suit, or a feature of the laptop). Shallow depth of field, incredible detail. Maintain exact colors and textures.

6. Worm's Eye View

  • Reference: Base Image
  • Prompt: A worm's eye view from ground level looking straight up at the subject. Dramatic vertical perspective. Maintain exact clothing and face consistency.

After generating the variations, present the multi-angle gallery to the user. You can also offer to generate specific individual angles based on their feedback.

Trigger Keywords

multi angle, photo reshoot, change camera angle, fish eye view, birds eye view, low angle shot, macro photography, camera perspective

---

Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is 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 with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.