VPick Image Generator
Multi-model AI image generation on a visual canvas — Midjourney, Grok, nano-banana, Seedream — with reference image support, style transfer, and batch generation. Powered by VPick.
Security & Data Handling
- Authentication: Your MCP link contains an embedded token — no separate API keys or credentials are needed or sent. Treat your MCP link like a password.
- Data flow: All generation requests go through VPick's server (
vpick.10xboost.org on Google Cloud). VPick routes requests to third-party AI model providers (Midjourney, Grok, Seedream, etc.) on your behalf. Your prompts and uploaded reference images are sent to these providers for processing.
- Storage: Generated images are stored in Google Cloud Storage under your VPick account.
- No local credentials: This skill does not require any local API keys, environment variables, or secrets.
- Billing: Generation costs are charged to your VPick credit balance, not directly to any third-party service.
Prerequisites
- Sign up at vpick.10xboost.org (Google OAuth — new users get $1 free credit)
- Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token)
- Add to Claude: Paste the MCP link into Claude settings as a Connector — no install, no API keys needed
Available Image Models
| Model | Cost | Output | Best For |
|---|
| nano-banana-2 | $0.16/image | 1 image | Default, fast, multi-reference support |
| Midjourney Relaxed | $0.045/grid | 4 images (grid) | Budget artistic generation |
| Midjourney Fast | $0.12/grid | 4 images (grid) | Quick artistic generation |
| Midjourney Turbo | $0.24/grid | 4 images (grid) | Fastest Midjourney |
| Grok Imagine | $0.06/call | 6 images (T2I) or 2 (I2I) | Budget bulk generation |
| Seedream 5.0 Lite | $0.0825/image | 1 image (2K) | High resolution, affordable |
| Seedream 5.0 HD | $0.0825/image | 1 image (3K) | Ultra high resolution |
Aspect Ratios: 1:1, 16:9, 9:16, 3:4, 4:3 (all models)
Core Workflow
Step 1: Set Up
Check user's canvas and project:
get_canvas → See current state
list_projects → Check existing projects
create_project → Start fresh if needed
Step 2: Create Image Generator Node
add_node(type: "image-generator", name: "My Image")
Step 3: Set the Prompt
Option A — Direct prompt:
update_node(id: "<node_id>", data: { prompt: "a cyberpunk cityscape at sunset, neon lights, rain reflections" })
Option B — Connect a Text node:
add_node(type: "text", name: "Prompt", data: { content: "a cyberpunk cityscape at sunset" })
connect_nodes(sourceId: "<text_node>", targetId: "<image_node>", sourceHandle: "text-out", targetHandle: "prompt-in")
Step 4: Add Reference Images (Optional)
Reference images guide the generation style or subject. Up to 10 reference images supported.
upload_image(url: "https://example.com/reference.jpg")
connect_nodes(sourceId: "<upload_node>", targetId: "<image_node>", sourceHandle: "file-out", targetHandle: "image-in")
Use @NodeLabel in prompts to reference connected images:
"A portrait in the style of @reference, vibrant colors"
The @reference is resolved at generation time to the connected image URL.
Step 5: Generate
run_image_generator(
nodeId: "<image_node>",
prompt: "a cyberpunk cityscape at sunset, neon lights",
model: "nano-banana-2",
aspectRatio: "16:9"
)
Midjourney-specific options:
run_image_generator(
nodeId: "<image_node>",
prompt: "a cyberpunk cityscape at sunset",
model: "midjourney",
aspectRatio: "16:9",
mjSpeed: "fast", // "relaxed", "fast", "turbo"
mjVersion: "7.0" // Midjourney version
)
Grok — auto-detects T2I vs I2I:
- No reference image → Text-to-Image (6 images)
- With reference image → Image-to-Image (2 images)
Step 6: Browse Results
Models may generate multiple images:
- Midjourney: 4-image grid — browse via
currentImageIndex (0-3)
- Grok: 6 images (T2I) or 2 images (I2I)
- Others: 1 image
Check results:
get_node(id: "<image_node>") → See generatedImageUrl, status
list_nodes → Overview of all nodes
Step 7: Use Generated Images
Generated images can be used as input for:
- Video generation: Connect to VideoGenerator's
start-image-in port
- More image generation: Connect as reference for another ImageGenerator
- Character consistency: Use as Element reference in MultiShot video
connect_nodes(sourceId: "<image_node>", targetId: "<video_node>", sourceHandle: "image-out", targetHandle: "start-image-in")
Common Use Cases
Character Design (White Background References)
For video production, generate character references on white backgrounds:
run_image_generator(
nodeId: "<node>",
prompt: "full body portrait of a young woman, casual outfit, white background, isolated figure, front view",
model: "nano-banana-2",
aspectRatio: "3:4"
)
Generate multiple angles (front, side, 3/4) for use as MultiShot Elements.
Batch Generation
Create multiple ImageGenerator nodes and generate in parallel:
add_node(type: "image-generator", name: "Variant A")
add_node(type: "image-generator", name: "Variant B")
add_node(type: "image-generator", name: "Variant C")
run_image_generator(nodeId: "<A>", prompt: "sunset beach, warm tones", model: "midjourney")
run_image_generator(nodeId: "<B>", prompt: "sunset beach, cool tones", model: "grok-imagine")
run_image_generator(nodeId: "<C>", prompt: "sunset beach, dramatic", model: "nano-banana-2")
Style Transfer with References
upload_image(url: "https://example.com/style-reference.jpg")
connect_nodes(sourceId: "<upload>", targetId: "<image_node>", sourceHandle: "file-out", targetHandle: "image-in")
run_image_generator(
nodeId: "<image_node>",
prompt: "a portrait in the style of @style-reference, detailed, high quality",
model: "nano-banana-2"
)
Organize Your Canvas
Keep things tidy:
auto_layout(nodeIds: [...], direction: "horizontal", spacing: 200)
create_group(nodeIds: [...], overrides: { label: "Character Designs", color: "#E57373" })
Check Usage & History
list_generated_files(limit: 20, model: "midjourney") → Recent generations filtered by model
get_generation_stats → Cost breakdown by model
Tips
- nano-banana-2 is the best default — fast, affordable, supports multi-reference
- Midjourney excels at artistic/stylized images — use
relaxed speed to save cost
- Grok is the cheapest for bulk generation ($0.06 for 6 images)
- Seedream produces the highest resolution (up to 3K)
- White background images are essential for video Element references
@NodeLabel references are resolved at generation time — make sure labels match exactly- Use
list_models tool to check current pricing and available models
Error Handling
| Error | Solution |
|---|
| Generation timeout | Auto-retries up to 2 times; check status with get_node |
| Insufficient credits | Top up at vpick.10xboost.org |
| Invalid aspect ratio | Use: 1:1, 16:9, 9:16, 3:4, or 4:3 |
| Reference not resolved | Ensure @NodeLabel matches the connected node's label exactly |
| Node not found | Use list_nodes to get current node IDs |
Documentation
- VPick App: vpick.10xboost.org
- Available models: Call
list_models tool for current pricing and capabilities
