jimeng-api-image-gen▌
wvlvik/toy-skills · updated Jun 2, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Generate high-quality AI images using Volcengine's Jimeng 4.0 API with text prompts or image inputs.
Jimeng API Image Generation
Generate high-quality AI images using Volcengine's Jimeng 4.0 API with text prompts or image inputs.
Configure Environment Variables
# ~/.zshrc or ~/.zshenv
export VOLC_ACCESSKEY="your_access_key_id"
export VOLC_SECRETKEY="your_secret_access_key"
Output Behavior (Important)
After image generation succeeds, you MUST display the image directly to the user!
When generation completes, output in the following format:

**Generation Info:**
- Prompt: [User's original prompt]
- Size: [Image dimensions]
- Save Path: [Local file path, if applicable]
Example Output

**Generation Info:**
- Prompt: Shiba Inu under cherry blossom tree, warm sunlight, healing art style
- Size: 2304 × 1728
- Save Path: /generated_images/[Generated Image] **important**
Notes
- Prefer markdown image syntax
to display images directly - Also provide the online link for easy copying and sharing
- If saved locally, display the local file path
- For multiple images, display each one with numbered labels
Quick Start
Step 1: Run Generation
# Text-to-image
scripts/generate_image.py "A white Siamese cat sitting on a windowsill, sunlight streaming in"
# With specific size
scripts/generate_image.py "Mountain sunset landscape" --size 2K
# Image-to-image editing
scripts/generate_image.py "Change to watercolor style" --images https://example.com/input.jpg
# Save to file
scripts/generate_image.py "Serene lake at sunset" --output /generated_images/lake.png
API Configuration
| Parameter | Value | Description |
|---|---|---|
| Endpoint | https://visual.volcengineapi.com |
API base URL |
| Submit Action | CVSync2AsyncSubmitTask |
Submit async generation task |
| Query Action | CVSync2AsyncGetResult |
Query task result |
| Version | 2022-08-31 |
API version |
| Service | cv |
Service name for signing |
| Region | cn-north-1 |
Region for signing |
| req_key | jimeng_t2i_v40 |
Jimeng AI 4.0 model identifier |
Image Size Options
Preset Resolutions
| Preset | Resolution | Pixels |
|---|---|---|
| 1K | 1024×1024 | 1,048,576 |
| 2K | 2048×2048 | 4,194,304 (default) |
| 4K | 4096×4096 | 16,777,216 |
Exact Dimensions
Use --width and --height together:
scripts/generate_image.py "prompt" --width 2560 --height 1440
Recommended aspect ratios:
- 1:1 (2048x2048) - Social media posts
- 4:3 (2304x1728) - Presentations
- 16:9 (2560x1440) - Widescreen displays
- 9:16 (1440x2560) - Mobile vertical
- 3:2 (2496x1664) - Photography
Constraints:
- Width × Height must be in [1024×1024, 4096×4096]
- Aspect ratio (width/height) in [1/16, 16]
- Recommended: Use 2K+ for better quality
Command-Line Options
scripts/generate_image.py PROMPT [OPTIONS]
Arguments:
PROMPT Text prompt for image generation (required, max 800 chars)
Options:
--size SIZE Image size: 1K, 2K, 4K or WxH (default: 2K)
--width WIDTH Exact width (requires --height)
--height HEIGHT Exact height (requires --width)
--images URL [...] Input image URLs for image-to-image (max 10)
--watermark Add "AI Generated" watermark
--scale FLOAT Text influence 0-1 (default: 0.5)
--force-single Force single image output
--output PATH Download image to file
--json Output raw JSON response
Environment Variables:
VOLC_ACCESSKEY Access Key ID (required)
VOLC_SECRETKEY Secret Access Key (required)
JIMENG_API_URL API endpoint (default: https://visual.volcengineapi.com)
JIMENG_API_TIMEOUT Request timeout seconds (default: 120)
JIMENG_POLL_INTERVAL Polling interval seconds (default: 2)
JIMENG_MAX_POLL_ATTEMPTS Max polling attempts (default: 60)
Authentication
This skill uses Volcengine IAM v4 signature authentication (HMAC-SHA256). The signing process:
- Build canonical request with headers:
content-type;host;x-content-sha256;x-date - Calculate SHA256 hash of canonical request
- Derive signing key: secret_key → date → region → service → "request"
- Sign the string-to-sign with derived key
- Add
Authorizationheader to request
Reference: HTTP请求示例
Error Codes
| Code | Message | Description |
|---|---|---|
| 10000 | Success | Request successful |
| 50411 | Pre Img Risk Not Pass | Input image failed content check |
| 50511 | Post Img Risk Not Pass | Output image failed content check |
| 50412 | Text Risk Not Pass | Input text failed content check |
| 50413 | Post Text Risk Not Pass | Input text contains sensitive words |
| 50429 | Request Has Reached API Limit | Rate limit exceeded, retry later |
| 50500 | Internal Error | Server error |
| timeout | Request timeout | Increase JIMENG_API_TIMEOUT |
Input/Output Limits
Input Images:
- Format: JPEG, PNG only
- Max files: 10 images
- Max size: 15MB per image
- Max resolution: 4096×4096
- Aspect ratio (W/H): [1/3, 3]
Output:
- Max images: 15 - (input image count)
- Format: PNG
- URL validity: 24 hours
Reference Documentation
How to use jimeng-api-image-gen on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add jimeng-api-image-gen
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches jimeng-api-image-gen from GitHub repository wvlvik/toy-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate jimeng-api-image-gen. Access the skill through slash commands (e.g., /jimeng-api-image-gen) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★36 reviews- ★★★★★Mia Singh· Dec 28, 2024
Solid pick for teams standardizing on skills: jimeng-api-image-gen is focused, and the summary matches what you get after install.
- ★★★★★Nia Khanna· Dec 16, 2024
We added jimeng-api-image-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Dec 4, 2024
Solid pick for teams standardizing on skills: jimeng-api-image-gen is focused, and the summary matches what you get after install.
- ★★★★★Lucas Dixit· Dec 4, 2024
I recommend jimeng-api-image-gen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Nov 23, 2024
We added jimeng-api-image-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Isabella Perez· Nov 23, 2024
Keeps context tight: jimeng-api-image-gen is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Luis Chawla· Nov 19, 2024
We added jimeng-api-image-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ava Rahman· Nov 15, 2024
jimeng-api-image-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Benjamin Shah· Nov 7, 2024
Solid pick for teams standardizing on skills: jimeng-api-image-gen is focused, and the summary matches what you get after install.
- ★★★★★Benjamin Gupta· Oct 26, 2024
jimeng-api-image-gen has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 36