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muapi-animal-video-generator

muapi-animal-video-generator

github.com/samuraigptCreative & media863 installsUpdated 4w ago
Repository

About muapi-animal-video-generator

An agent skill for creating realistic videos of anthropomorphic animals vlogging, suited to short clips with user-specified dialogue. It first generates a vertical image for approval, then animates it with lip-sync.

Key features

  1. 01Set the animal, location, and clothing
  2. 02Generate a vertical character image first
  3. 03Create video after image approval
  4. 04Use supplied dialogue for lip-sync

Use cases

  1. 01Make a short animal-vlogger clip
  2. 02Create a selfie video of an animal in a street setting
  3. 03Produce a video of an animal character speaking specified lines

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/samuraigpt/muapi-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.

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