mcpField
M
muapi-animal-video-generator

muapi-animal-video-generator

github.com/samuraigptCreative & media25659 installsUpdated 4w ago
Repository

About muapi-animal-video-generator

muapi-animal-video-generator is a muapi CLI-orchestrated skill that creates an anthropomorphic animal vlogger image, then animates it into a vertical video with lip-sync. It is for creators making animal-hosted or humorous short videos, with customizable animal, location, clothing, and dialogue.

Key features

  1. 01Generate an anthropomorphic animal vlogger image
  2. 02Turn the generated image into video
  3. 03Customize animal, location, and clothing
  4. 04Supply dialogue for lip-sync
  5. 05Use a 9:16 vertical frame

Use cases

  1. 01Make animal-vlogger style short videos
  2. 02Create animal speech clips with specified dialogue
  3. 03Produce vertical humorous video content

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-animal-video-generator

After installing, type/muapi-animal-video-generatorin Claude Code to confirm it loaded.

Details

From the project README

Animal Vlogger Video

Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.

Inputs

NameTypeRequiredDefaultDescription
animal_typetextnomonkeyThe type of animal vlogging (e.g., monkey, dog, cat, bear).
locationtextnobusy streets of Noida, IndiaThe setting for the vlog.
clothingtextnoa bright red t-shirtWhat the animal is wearing.
scripttextnoक्या यार, कहाँ फंस गया नॉएडा में आके? इससे तो बैंगलोर ही अच्छा था. यहाँ तो बड़ी गर्मी है भाई. पसीने ही छूट गए मेरे तो.The dialogue for lip-sync.

Steps

Phase A — Generate Vlogger Image

Submit the plan with ONE step to create the base image of the animal vlogger:

  1. Image Generation — muapi image generate (model=nano-banana or nano-banana-pro):
    • Prompt: Ultra-realistic, cinematic portrait of an expressive {{animal_type}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animal_type}} is anthropomorphic, walking upright, and looks like a believable vlogger. Sweating slightly in the heat, highly detailed, photorealistic. Background shows a bustling street, people eating at stalls, vibrant urban details.
    • Aspect ratio: 9:16 (for vertical vlog style)

After generating the image, present it to the user.

Phase B — Video Generation

Once the image is approved, submit a second the plan with ONE step to animate it with lip-sync:

  1. Video Generation — muapi video generate or muapi video from-image (model=veo3.1-fast-image-to-video):
    • Reference Image: The generated image from Phase A.
    • Prompt: Create an ultra-realistic cinematic video featuring a lifelike {{animal_type}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animal_type}} is expressive, looks mildly disgruntled, and speaks naturally. Occasional quick zoom-in on the disappointed face. Background features busy street life, vibrant colors. Smooth gimbal-like camera motion.
    • Dialogue for Lip-Sync (if tool supports audio/lipsync): {{script}}
    • Aspect ratio: 9:16

After generation, present the final funny video.

Trigger Keywords

animal video, funny monkey video, animal vlogger, vlog video, monkey in noida


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.

Comments

Markdown supported