使用说明
Griptape Nodes Blender Integration
Camera capture nodes for Blender integration with Griptape workflows.
Overview
This package provides Griptape nodes for capturing camera views from Blender scenes. The integration works through a simple socket server that runs inside Blender, providing a reliable and efficient communication channel.
Architecture
┌─────────────────┐ Socket/TCP ┌──────────────────┐ bpy Python API ┌─────────┐
│ Griptape Nodes │ ←─────────────────→ │ Socket Server │ ←───────────────→ │ Blender │
│ (Clients) │ JSON/8765 │ (Inside Blender) │ │ (3D App) │
└─────────────────┘ └──────────────────┘ └─────────┘
Features
- ✅ Simple socket communication - No complex async context issues
- ✅ Runs inside Blender - Direct access to bpy API and scene data
- ✅ Real-time camera capture - Render images from any camera in scene
- ✅ Comprehensive camera metadata - Focal length, sensor info, DOF, transforms
- ✅ Dynamic UI updates - Camera dropdowns and metadata labels update automatically
- ✅ Flow control support - Both nodes integrate seamlessly into control workflows
- ✅ Always fresh data - Camera List Node re-evaluates on every workflow run
- ✅ Automatic engine handling - Fixes Eevee Next and GPU issues automatically
- ✅ No external dependencies - Just Python standard library
- ✅ Easy setup - Copy/paste script into Blender
Files
blender/blender_socket_server.py- Socket server that runs inside Blenderblender/socket_client.py- Socket client utilities for Griptape nodesblender/camera_capture.py- Camera capture node for Griptape workflowsblender/camera_list.py- Node to list available cameras in Blender sceneblender/image_to_grease_pencil.py- Node that traces images into Grease Pencilblender/grease_pencil_trace.py- Runs the trace in a background Blender and sends the result to an open oneblender/trace_grease_pencil.py- Script the background Blender runs to trace and render previewsblender/grease_pencil_scene.py- Places traced drawings in a scene, in the background or open Blenderblender/blender_mcp_client.py- Client for the Blender Lab MCP add-on's socketblender/image_to_camera_plane.pyandblender/get_camera_plane.py- Nodes that put an image or movie on a camera as a plane, and read it backblender/camera_plane_scene.py- Camera plane code that runs inside the open Blenderblender/camera_plane_client.py- Sends that code to the open Blender through the MCP add-onblender/media_files.py- Saves media in the project so Blender can point at a file that stays put
Quick Setup
1. Start Blender Socket Server
- Open Blender
- Go to Scripting workspace (tab at top)
- Create new text file (click "New")
- Copy the entire contents of
blender/blender_socket_server.py - Paste into Blender's text editor
- Click "Run Script" button
The server will auto-start and show:
✓ Blender Socket Server started on localhost:8765
Ready to receive commands from Griptape nodes
2. Use Griptape Nodes
The camera capture and camera list nodes will automatically connect to the socket server running in Blender.
Server Controls
In Blender Console:
start_server() # Start the socket server
stop_server() # Stop the socket server
server_status() # Check if running
In Blender UI:
- 3D Viewport → Press
N→ Griptape tab - Start/Stop buttons with status indicator
- Port information display
Add your library to your installed Engine!
If you haven't already installed your Griptape Nodes engine, follow the installation steps HERE. After you've completed those and you have your engine up and running:
- Copy the path to your
griptape_nodes_library.jsonfile within thisblenderdirectory. Right click on the file, andCopy Path(NotCopy Relative Path). - Start up the engine!
- Navigate to settings.
- Open your settings and go to the App Events tab. Add an item in Libraries to Register.
- Paste your copied
griptape_nodes_library.jsonpath from earlier into the new item. - Exit out of Settings. It will save automatically!
- Open up the Libraries dropdown on the left sidebar.
- Your newly registered library should appear! Drag and drop nodes to use them!
Available Nodes
Camera Capture Node
Captures single frames from Blender cameras with detailed camera metadata display.
Flow Control:
exec_in- Flow input for control sequencingexec_out- Flow output for control sequencing
Parameters:
cameras_input- Connect to Camera List Node for dynamic camera data (optional)camera_name- Name of camera in Blender scene (dropdown updates automatically)resolution_x- Image width in pixels (64-4096, default: 1920)resolution_y- Image height in pixels (64-4096, default: 1080)output_format- PNG or JPEG (default: PNG)quality- JPEG quality 1-100 (default: 90)
Camera Metadata Labels (displayed under Camera dropdown):
Status- Shows if camera is active scene cameraFocal Length- Lens focal length in mmSensor- Sensor dimensions, fit mode, and camera typeDepth of Field- DOF settings including focus distance and f-stopTransform- Camera location and rotation coordinates
Outputs:
image_output- Captured image as ImageUrlArtifactstatus_output- Render information and timing
Features:
- ✅ Dynamic camera dropdown - Updates automatically when connected to Camera List Node
- ✅ Rich metadata display - Shows detailed camera properties in real-time
- ✅ Enhanced camera data - Accesses comprehensive Blender camera properties
- ✅ Auto camera validation - Switches to available camera if selection invalid
Camera List Node
Lists all cameras in the current Blender scene with comprehensive metadata.
Flow Control:
exec_in- Flow input for control sequencingexec_out- Flow output for control sequencing
Features:
- ✅ Always re-evaluates - Fetches fresh camera data on every workflow run
- ✅ Comprehensive camera data - Collects detailed camera properties via Blender API
- ✅ Automatic fallback - Falls back to basic data if enhanced collection fails
Outputs:
cameras_output- Detailed camera info including metadata (ListArtifact)camera_count- Total number of cameras foundstatus_output- Operation status and connection info
Enhanced Camera Data Collected:
- Basic Transform: Location, rotation, scale, active status
- Lens Properties: Focal length, sensor dimensions, sensor fit mode
- Camera Type: Perspective, orthographic, panoramic
- Field of View: Angular measurements for framing calculations
- Clipping Distances: Near and far render boundaries
- Depth of Field: Focus distance, aperture f-stop settings
- Composition: Camera shift for perspective correction
- Matrix Data: Full 4x4 transformation matrix for precise positioning
Image to Grease Pencil Node
Traces an image, or a list of images, into a Grease Pencil drawing. Tracing runs in a background Blender, so it works
with no Blender open; turn off Send To Open Scene in that case. It does not use the socket server.
Modes:
- Animated - one object, one keyframe per image (
Start Frame,Frame Step) - Separate - one object per image (
Drawing_001,Drawing_002, ...)
Settings: object name. Threshold, invert and turn policy for the trace. Max resolution, stroke type, simplify and
smooth for cleanup. Thickness, color and fill for the look. Layer name, size, location (empty for the 3D cursor),
collection (empty for the active one), and replace for placement. Set Target Object to an existing Grease Pencil
object to add the trace to it as a new layer. In Separate mode each image gets its own layer.
Outputs: a preview of each image rendered on white, the .blend holding the drawing, and the object and layer
names. Each run overwrites the node's previews.
Where the drawing goes:
Target Blend- adds it to that.blendfile and saves the fileSend To Open Scene- adds it to the scene open in Blender, through the official Blender Lab MCP add-on. Install the add-on, turn on Preferences > System > Allow Online Access, and start its server (port 9876). The node talks to the add-on's socket directly. No AI agent is involved.
The tracer outlines each line rather than following its center. With Fill on the lines are solid; with it off you see
the outlines, drawn at Thickness. Blender is
found from Blender Path, then $BLENDER_PATH, then blender on PATH, then /Applications/Blender.app. Tested
with Blender 5.3.
Image to Camera Plane Node
Adds an image or a movie to a camera in the scene open in Blender as a plane that fills the camera's frame. The plane is parented to the camera, so it follows every camera move, and it renders. (Blender's camera background images only show in the viewport.) It talks to the open Blender through the Blender Lab MCP add-on, like Image to Grease Pencil, so install the add-on, turn on Preferences > System > Allow Online Access, and start its server (port 9876).
Parameters:
Image or Movie- an image, or a movie (aVideoUrlArtifact). A file already on disk is used where it is. Anything else is saved in the project first, so Blender has a file that stays put.Distance- how far in front of the lens the plane sits, in scene units. The plane is sized to fill the frame at that distance, so it looks the same at any distance. An orthographic camera's frame doesn't grow with distance.Fit- fill the frame (the overflow falls outside it), fit the whole image inside it, or stretch it to the frame.Plane Name, andReplace Existing, which swaps out the plane this node made earlier on the same camera with the same name (dots and all). Planes you made yourself are never replaced.CameraandScene(under Blender) - empty means the scene's active camera in the scene showing in Blender's window.
The plane is laid out the way the Camera Plane add-on
lays out the planes it imports, so the two work on the same camera and you don't need the add-on for this. The plane is
parented to the camera and one unit wide, its distance and scale are the custom property camera_plane, and drivers
turn those into a position and size from the camera's field of view and lens shift. Change the lens or the shift and
the plane keeps fitting the frame. Change distance or scale (in the add-on's panel, or on the property) and it moves
and resizes to match. Its transforms are locked and it is drawn with a wireframe outline. An orthographic camera's
frame doesn't grow with distance, so there the plane's size is baked in and has no drivers.
The material shows the image as it is (a camera ray sees the image, other rays see a plain surface, so the plane
neither lights the scene nor is lit), with the image's alpha, times an Opacity Multiplier slider, as transparency.
A movie plays from the scene's start frame, and the node reports its frame count.
Get Camera Plane Node
Finds the image plane on a camera in the open scene and returns its image or movie, as an ImageUrlArtifact or a
VideoUrlArtifact, with the plane's name, the camera and the distance. It prefers a plane Image to Camera Plane made,
and it also finds any other mesh parented to the camera that shows an image, such as a paper plane you made by hand.
An image with no file of its own (packed in the .blend, or generated in Blender) is exported first. The file has to be
on the same machine as the engine.
Testing the camera plane code
The code that runs inside Blender is checked in Blender itself, with a script that renders small test scenes and exits with an error if a check fails:
blender -b --python tests/blender/test_camera_plane_scene.py
The movie check needs ffmpeg.
Workflow Integration
Connected Workflow (Recommended)
For the best experience, connect Camera List Node → Camera Capture Node:
┌─────────────────┐ cameras_output ┌──────────────────────┐
│ Camera List │────────────────→│ Camera Capture │
│ │ │ │
│ • Always fresh │ │ • Dynamic dropdown │
│ • Detailed data │ │ • Metadata labels │
│ • Flow control │ │ • Auto validation │
└─────────────────┘ └──────────────────────┘
Benefits:
- ✅ Camera dropdown updates automatically when scene changes
- ✅ Rich metadata display under camera selection
- ✅ Always current data - Camera List always re-evaluates
- ✅ Seamless flow control - Both nodes support exec in/out
Standalone Usage
Camera Capture Node works independently but with limited features:
- Static camera dropdown (populated at node creation)
- Basic status messages instead of detailed metadata
- Manual refresh required for scene changes
Socket Server Commands
The server responds to these JSON commands on port 8765:
Health Check
{"command": "health_check"}
Scene Information
{"command": "get_scene_info"}
List Cameras
{"command": "list_cameras"}
Render Camera
{
"command": "render_camera",
"params": {
"camera_name": "Camera",
"width": 1920,
"height": 1080,
"format_type": "PNG",
"quality": 90
}
}
Execute Code (Enhanced Camera Data)
{
"command": "execute_code",
"params": {
"code": "import bpy; cameras = [{'name': obj.name, 'focal_length': obj.data.lens} for obj in bpy.data.objects if obj.type == 'CAMERA']"
}
}
Engine Handling
The server automatically handles render engine issues:
- Eevee Next → Switches to Cycles CPU (headless stability)
- Cycles → Forces CPU rendering (avoids GPU context issues)
- Other engines → CPU-only for maximum stability
Benefits vs MCP Approach
- ✅ No async context issues - Simple socket connections
- ✅ Persistent server - Runs inside Blender, stays responsive
- ✅ Easy debugging - Clear JSON communication
- ✅ No complex dependencies - Just Python sockets
- ✅ Better performance - Direct bpy access, no process spawning
Troubleshooting
"Could not connect to Blender server at localhost:8765"
- Make sure Blender is running with the socket server script
- Check server status in Blender console:
server_status() - Restart server if needed:
stop_server()thenstart_server() - Check port availability - make sure nothing else is using port 8765
"PIL not available for PNG encoding"
The server needs PIL for image encoding. Install in Blender's Python:
/Applications/Blender.app/Contents/Resources/4.4/python/bin/python3.11 -m pip install Pillow
Socket Server Not Starting
- Check Blender console for error messages
- Verify script is run inside Blender (not external Python)
- Try different port by editing the script:
BlenderSocketServer(port=8766)
Render Issues
- Server forces CPU rendering for stability
- Automatically switches problematic engines (Eevee Next)
- Check Blender console for render error messages
Requirements
- Blender 3.0+ (tested with 4.4.3)
- Python 3.8+ (included with Blender)
- Pillow (for image encoding, install in Blender's Python)
No External Dependencies
Unlike the previous MCP approach, this socket-based solution requires no external Python packages in your Griptape environment. All communication happens through standard Python sockets.