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Image To 3d

Community
kevinbadi
image-to-3d

Convert a photo into a 3D model using Meshy API and import it into Blender via MCP.

Overview

Publisherkevinbadi
Repositoryblender-skills
Skill nameimage-to-3d
Stars
215
Forks
24
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kevinbadi on GitHub. Read the source before you install it.

Installation

Install the Image To 3d AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kevinbadi/blender-skills/tree/main/image-to-3d
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kevinbadi/blender-skills.git /tmp/blender-skills
mkdir -p .claude/skills
cp -r /tmp/blender-skills/image-to-3d .claude/skills/image-to-3d
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image To 3d in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Image To 3d on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Image To 3d is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Image to 3D Blender Skill

Converts a user-provided photo into a textured 3D model using the Meshy AI API, then imports it into the active Blender scene.

When to Use

Trigger this skill when:

  • User wants to turn a photo/image into a 3D model
  • User says "make this 3D", "convert to 3D", "3D model from image"
  • User provides an image and wants it in Blender as a 3D object

Prerequisites

  • Meshy API Key: Stored in environment variable MESHY_API_KEY or passed directly
  • Blender MCP: Must be connected (blender-mcp addon running on port 9876)
  • Image: Local file path (.jpg, .jpeg, .png) or publicly accessible URL

Flow

Step 1: Prepare the Image

If the user provides a local file path, base64 encode it:

bash
BASE64_IMAGE=$(base64 -i "<image_path>")
DATA_URI="data:image/png;base64,${BASE64_IMAGE}"

Step 2: Create Image-to-3D Task

bash
curl -s https://api.meshy.ai/openapi/v1/image-to-3d \
  -X POST \
  -H "Authorization: Bearer ${MESHY_API_KEY}" \
  -H 'Content-Type: application/json' \
  -d '{
    "image_url": "<data_uri_or_public_url>",
    "ai_model": "meshy-6",
    "enable_pbr": true,
    "should_remesh": true,
    "should_texture": true,
    "topology": "quad",
    "target_polycount": 30000,
    "target_formats": ["glb"]
  }'

Response gives a task ID: {"result": "<task_id>"}

Step 3: Poll for Completion

bash
curl -s https://api.meshy.ai/openapi/v1/image-to-3d/<task_id> \
  -H "Authorization: Bearer ${MESHY_API_KEY}"

Poll every 10 seconds. Check status field:

  • PENDING — queued
  • IN_PROGRESS — generating (check progress field for %)
  • SUCCEEDED — done, model_urls.glb has the download URL
  • FAILED — check task_error.message

Step 4: Download the GLB

bash
curl -L -o "/Users/kevinbahrabadi/Blender Test/output/<filename>.glb" "<model_urls.glb>"

Step 5: Import into Blender

Use the Blender MCP execute_blender_code tool:

python
import bpy

# Clear scene (optional, based on user preference)
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete()

# Import GLB
bpy.ops.import_scene.gltf(filepath="/Users/kevinbahrabadi/Blender Test/output/<filename>.glb")

# Center and frame the imported object
bpy.ops.object.select_all(action='SELECT')
bpy.ops.view3d.view_selected()

Configuration Options

OptionDefaultDescription
ai_modelmeshy-6Model to use. Options: meshy-5, meshy-6, latest
model_typestandardstandard for detail, lowpoly for clean game meshes
topologytrianglequad or triangle mesh
target_polycount30000100–300,000 polygons
enable_pbrtrueGenerate metallic/roughness/normal maps
symmetry_modeautooff, auto, or on
pose_mode""a-pose, t-pose, or empty
should_texturetrueGenerate textures (costs extra credits)
remove_lightingtrueClean textures without baked lighting

Output

After completion, the user gets:

  • 3D model imported into Blender scene
  • Textured with PBR materials (if enabled)
  • Ready for rendering, animation, or further editing

Error Handling

  • 402: Insufficient Meshy credits — inform user
  • 429: Rate limited — wait and retry
  • FAILED status: Report task_error.message to user
  • Blender MCP disconnected: Ask user to reconnect addon

Frequently asked questions

What does the Image To 3d AI skill do?

Convert a photo into a 3D model using Meshy API and import it into Blender via MCP.

Why use Image To 3d on TypingMind?

Because you install it once and use it with any model. Image To 3d is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Image To 3d in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevinbadi/blender-skills/tree/main/image-to-3d. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Image To 3d?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Image To 3d?

As many as you like. As long as a model supports skills, you can use Image To 3d with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Image To 3d AI skill free?

It is published on GitHub by kevinbadi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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