Skills Plugins MCP Prompt Model 博客 我的中心

muapi-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.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=samuraigpt-generative-media-skills-library-visual-multi-angle-reshoot-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
slug muapi-multi-angle-reshoot name muapi-multi-angle-reshoot version 1.0.0 description 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. acceptLicenseTerms true 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: 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. 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. 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. 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. 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. 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. 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.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。