一键导入
image-to-3d
Convert a photo into a 3D model using Meshy API and import it into Blender via MCP.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Convert a photo into a 3D model using Meshy API and import it into Blender via MCP.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Render the same product across multiple HDRI environments and output a comparison grid. Trigger when asked to compare lighting setups, test different environments, show product in multiple settings, or create an HDRI comparison.
Cycle through multiple PolyHaven materials on a product and render each variant. Great for showing color/finish options. Trigger when asked to show material variants, swap textures, create color options, show finish comparisons, or render product in different materials.
Build complete product scenes using PolyHaven assets — HDRI environment, textured ground/pedestal, and optional props from the 3D model library. Trigger when asked to build a product scene, create a showcase setup, add a pedestal, or compose a product shot.
Set up a professional product photography studio in Blender using PolyHaven HDRIs and PBR ground materials. Trigger when asked to create a studio setup, add HDRI lighting, set up product photography, or create a showroom scene.
Apply realistic PBR textures from PolyHaven to any Blender object. Supports metals, wood, concrete, fabric, and more. Trigger when asked to texture an object, apply a material from PolyHaven, make something look like metal/wood/marble, or change object surface.
Import a 3D model (GLB/GLTF) into Blender and apply a sleek, glossy product-shot finish with studio lighting. Trigger when asked to polish a 3D model, make a Meshy AI model look shiny, apply product lighting in Blender, or prepare a 3D asset for product shots.
| name | image-to-3d |
| description | Convert a photo into a 3D model using Meshy API and import it into Blender via MCP. |
Converts a user-provided photo into a textured 3D model using the Meshy AI API, then imports it into the active Blender scene.
Trigger this skill when:
MESHY_API_KEY or passed directlyIf the user provides a local file path, base64 encode it:
BASE64_IMAGE=$(base64 -i "<image_path>")
DATA_URI="data:image/png;base64,${BASE64_IMAGE}"
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>"}
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 — queuedIN_PROGRESS — generating (check progress field for %)SUCCEEDED — done, model_urls.glb has the download URLFAILED — check task_error.messagecurl -L -o "/Users/kevinbahrabadi/Blender Test/output/<filename>.glb" "<model_urls.glb>"
Use the Blender MCP execute_blender_code tool:
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()
| Option | Default | Description |
|---|---|---|
ai_model | meshy-6 | Model to use. Options: meshy-5, meshy-6, latest |
model_type | standard | standard for detail, lowpoly for clean game meshes |
topology | triangle | quad or triangle mesh |
target_polycount | 30000 | 100–300,000 polygons |
enable_pbr | true | Generate metallic/roughness/normal maps |
symmetry_mode | auto | off, auto, or on |
pose_mode | "" | a-pose, t-pose, or empty |
should_texture | true | Generate textures (costs extra credits) |
remove_lighting | true | Clean textures without baked lighting |
After completion, the user gets:
task_error.message to user