Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
ImaginePro AI Image Generation API
Generate AI images via ImaginePro API (Midjourney, Flux, Nano Banana, Lumi Girl, video)
skill openclawclawhub Free
Generate AI images via ImaginePro API (Midjourney, Flux, Nano Banana, Lumi Girl, video)
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Package facts
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- Yavira redirect
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- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, TELEGRAM_ANNOUNCEMENT.md, imaginepro_api.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Indexed source record
- Version
- 1.0.0
Provenance
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- iamzifei
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Documentation
ImaginePro AI Image Generation API
Generate stunning AI images, videos, and edits using the ImaginePro API. This skill wraps the full ImaginePro backend and supports 5 generation models, image upscaling, background removal, prompt enhancement, and video generation.
Quick Start
# Set your API key (get one at https://platform.imaginepro.ai/dashboard/setup) export IMAGINEPRO_API_KEY="your-api-key-here" # Generate an image with Flux (fastest) python3 imaginepro_api.py wait --prompt "a cyberpunk cityscape at sunset" --model flux # Generate with Midjourney python3 imaginepro_api.py wait --prompt "portrait of a warrior queen, cinematic lighting --ar 2:3" # List available models and costs python3 imaginepro_api.py models
Authentication
All requests require a Bearer token obtained from the ImaginePro Platform dashboard: Sign up at https://platform.imaginepro.ai Purchase credits from https://platform.imaginepro.ai/pricing Get your API key at https://platform.imaginepro.ai/dashboard/setup Set the environment variable: export IMAGINEPRO_API_KEY="your-key" Base URL: https://api.imaginepro.ai/api/v1 Header: Authorization: Bearer <IMAGINEPRO_API_KEY>
Available Models
ModelEndpointCreditsBest ForMidjourney (alpha v6)/midjourney/imagine10 (fast) / 5 (relax)Artistic, photorealistic imagesFlux/flux/imagine6Fast general-purpose generationNano Banana/universal/imagine6Reference image + text (try-on, mockup, staging)Lumi Girl/universal/zimage6Character portraits, anime, stylizedMJ Video/video/mj/generate10Video generation from start/end frames
Image Generation
POST /midjourney/imagine โ Midjourney Generation The flagship model. Supports Midjourney parameters in the prompt string (e.g., --ar 16:9, --style raw, --relax). Request: { "prompt": "a majestic eagle soaring over mountains --ar 16:9", "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } Append --relax to the prompt for relax mode (5 credits instead of 10, slower). Supports all standard Midjourney prompt parameters: --ar, --style, --chaos, --no, --seed, --q, etc. Response: { "success": true, "messageId": "uuid-of-the-generation-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 10 (fast mode) / 5 (relax mode) POST /flux/imagine โ Flux Generation Fast, high-quality generation. Supports batch generation. Request: { "prompt": "a cozy cabin in the woods, watercolor style", "n": 1, "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } n (optional, default 1): Number of images to generate (credits multiply by n). Response: { "success": true, "messageId": "uuid-of-the-generation-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 6 per image POST /universal/imagine โ Nano Banana (Reference Image Generation) Multi-modal generation using text + reference images. Ideal for virtual try-on, product mockups, interior staging, and style transfer. Request: { "contents": [ { "type": "text", "text": "Image creation: woman wearing this dress in a garden" }, { "type": "image", "url": "https://example.com/dress.jpg" } ], "model": "nano-banana-2", "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } contents: Array of content items. First item should be type: "text" with the prompt prefixed by "Image creation: ". Subsequent items can be type: "image" with a url field for reference images. model: Must be "nano-banana-2". Supports multiple reference images (e.g., a person photo + a garment photo for virtual try-on). Response: { "success": true, "messageId": "uuid-of-the-generation-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 6 POST /universal/zimage โ Lumi Girl Specialized model for character portraits and stylized images. Supports aspect ratio via --ar in the prompt. Request: { "prompt": "anime girl with silver hair in a moonlit forest --ar 3:4", "steps": 4, "width": 768, "height": 1024, "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } steps: Always 4 (fixed). width / height: Max 1024 per dimension, must be divisible by 8. If --ar W:H is in the prompt, dimensions are auto-calculated from the ratio (max dimension = 1024). Default: 1024x1024 if no aspect ratio specified. Response: { "success": true, "messageId": "uuid-of-the-generation-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 6 POST /video/mj/generate โ MJ Video Generate a video from start and end frame images. Request: { "prompt": "smooth camera pan with cinematic motion", "startFrameUrl": "https://example.com/start.jpg", "endFrameUrl": "https://example.com/end.jpg", "timeout": 900, "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } startFrameUrl (required): URL of the starting frame image. endFrameUrl (required): URL of the ending frame image. prompt (optional, default "smooth motion transition"): Motion description. timeout (optional, default 900): Max processing time in seconds. Response: { "success": true, "messageId": "uuid-of-the-generation-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 10
Post-Processing
POST /midjourney/button โ Midjourney Upscale / Variant Upscale or create variants of Midjourney-generated images. Request: { "messageId": "original-task-message-id", "button": "U1", "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } messageId: The messageId (task ID) from the original Midjourney generation. button: Action to perform. U1-U4 for upscaling quadrants, V1-V4 for variants. Response: { "success": true, "messageId": "uuid-of-the-upscale-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 5 POST /flux/upscale โ Flux Upscale Upscale any image (not limited to Flux-generated). Request: { "image": "https://example.com/image.jpg", "scale": 2, "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } image (required): URL of the image to upscale. scale (required): Upscale factor, must be between 2 and 4 (inclusive). Response: { "success": true, "messageId": "uuid-of-the-upscale-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 2 POST /tools/remove-bg โ Background Removal Remove the background from an image. Request: { "image": "https://example.com/photo.jpg", "ref": "optional-tracking-id", "webhookOverride": "https://your-server.com/webhook" } Response: { "success": true, "messageId": "uuid-of-the-removebg-task", "createdAt": "2026-01-15T12:00:00+00:00" } Credits: 5 POST /tools/prompt-extend โ Prompt Enhancement (Free) Expand a short prompt into a detailed, high-quality prompt. Request: { "prompt": "a sunset" } Response: { "prompt": "a breathtaking sunset over the Pacific Ocean, golden hour light casting warm amber and coral tones across scattered cumulus clouds, silhouetted palm trees in the foreground..." } Credits: Free
Status & History
GET /midjourney/message/{messageId} โ Check Generation Status Poll this endpoint to check the progress of any generation task (works for all models, not just Midjourney). Response (in progress): { "prompt": "a simple red circle on white background", "status": "PROCESSING", "progress": 0, "messageId": "2346e0bc-c3c3-48ea-adec-3a21609fd288", "createdAt": "2026-02-22T07:43:37+00:00", "updatedAt": "2026-02-22T07:43:37+00:00" } Response (completed): { "prompt": "a simple red circle on white background", "status": "DONE", "images": ["https://cdn-new.imaginepro.ai/storage/v1/object/public/cdn/2346e0bc-c3c3-48ea-adec-3a21609fd288.png"], "uri": "https://cdn-new.imaginepro.ai/storage/v1/object/public/cdn/2346e0bc-c3c3-48ea-adec-3a21609fd288.png", "progress": 100, "messageId": "2346e0bc-c3c3-48ea-adec-3a21609fd288", "createdAt": "2026-02-22T07:43:37+00:00", "updatedAt": "2026-02-22T07:43:49+00:00" } Response (failed): { "status": "FAIL", "error": "Description of what went wrong" } Statuses: SUBMITTED โ PROCESSING โ DONE | FAIL Credits: Free (polling is free)
Async Workflow
All generation endpoints are asynchronous. The workflow is: Submit a generation request โ receive a messageId Poll GET /midjourney/message/{messageId} every 3-5 seconds Wait for status to be DONE (images ready) or FAIL (error) Download the result from the uri or images array The helper script's wait command automates this entire flow.
Credit Cost Summary
OperationCreditsMidjourney Imagine (fast)10Midjourney Imagine (relax)5Midjourney Upscale/Variant5Flux Imagine6 per imageFlux Upscale2Nano Banana Imagine6Lumi Girl Imagine6MJ Video10Background Removal5Prompt EnhancementFreeStatus PollingFree
Python Helper Script
The included imaginepro_api.py is a zero-dependency Python script (stdlib only) that wraps all API calls.
Commands
# Generate an image (async โ returns messageId immediately) python3 imaginepro_api.py imagine --prompt "a sunset over mountains" --model flux # Generate and wait for result (blocking โ polls until done) python3 imaginepro_api.py wait --prompt "a sunset over mountains" --model flux # Check status of a generation python3 imaginepro_api.py status --id <messageId> # Upscale (Midjourney) python3 imaginepro_api.py upscale --id <messageId> --button U1 # Upscale (Flux) python3 imaginepro_api.py upscale --image "https://example.com/img.jpg" --scale 2 # Remove background python3 imaginepro_api.py removebg --image "https://example.com/photo.jpg" # Enhance a prompt python3 imaginepro_api.py enhance --prompt "a cat" # List available models python3 imaginepro_api.py models
Flags
--json โ Output raw JSON (default is human-readable) --timeout <seconds> โ Max wait time for wait command (default: 300) --interval <seconds> โ Polling interval for wait command (default: 5)
curl Examples
# Generate with Flux curl -X POST https://api.imaginepro.ai/api/v1/flux/imagine \ -H "Authorization: Bearer $IMAGINEPRO_API_KEY" \ -H "Content-Type: application/json" \ -d '{"prompt": "a cyberpunk cityscape at sunset"}' # Check status curl https://api.imaginepro.ai/api/v1/midjourney/message/<messageId> \ -H "Authorization: Bearer $IMAGINEPRO_API_KEY" # Enhance a prompt (free) curl -X POST https://api.imaginepro.ai/api/v1/tools/prompt-extend \ -H "Authorization: Bearer $IMAGINEPRO_API_KEY" \ -H "Content-Type: application/json" \ -d '{"prompt": "a cat"}'
Error Handling
API errors return JSON with message, error, and statusCode: { "message": "Prompt is required.", "error": "Bad Request", "statusCode": 400 } Common error codes: 400 โ Missing required parameter or invalid value 401 โ Invalid or missing API key / insufficient credits 404 โ Message not found 500 โ Internal server error (retry after a short delay)
Tips for AI Agents
Always use the wait command for simple generation tasks โ it handles the submit + poll loop automatically. Check credits on the dashboard at https://platform.imaginepro.ai/dashboard before large batches to avoid failures mid-way through. There is no API endpoint for checking credits. Use enhance on short prompts before generating โ it's free and dramatically improves quality. Midjourney supports prompt parameters like --ar 16:9 --style raw --chaos 20 directly in the prompt string. For Nano Banana (virtual try-on, mockups), always provide reference image URLs in the contents array. Poll interval: 5 seconds is recommended. Don't poll faster than 3 seconds. Timeouts: Midjourney can take 30-120s. Video generation can take up to 15 minutes. Set timeouts accordingly.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
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Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- TELEGRAM_ANNOUNCEMENT.md
- imaginepro_api.py