Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Grok Imagine Image Pro
Generates and edits high-quality PNG images via xAI Grok/Flux API using prompts, styles, aspect ratios, and batch processing with base64 output.
skill openclawclawhub Free
Generates and edits high-quality PNG images via xAI Grok/Flux API using prompts, styles, aspect ratios, and batch processing with base64 output.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- NixeiFoit
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Grok Imagine Image Pro
API Key: $XAI_API_KEY (already configured) Save dir: ~/.openclaw/media/ (resolves to /data/.openclaw/media/ โ allowed for Telegram sending)
Available Models
grok-imagine-image โ standard quality, faster grok-imagine-image-pro โ higher quality (default for generation)
1. Image Generation
curl -s https://api.x.ai/v1/images/generations \ -H "Authorization: Bearer $XAI_API_KEY" \ -H "Content-Type: application/json" \ --data '{ "model": "grok-imagine-image-pro", "prompt": "<PROMPT>", "n": 1, "response_format": "b64_json" }' | python3 -c " import json, sys, base64, os, time os.makedirs(os.path.expanduser('~/.openclaw/media'), exist_ok=True) r = json.load(sys.stdin) ts = int(time.time()) for i, img in enumerate(r['data']): img_data = base64.b64decode(img['b64_json']) fpath = os.path.expanduser(f'~/.openclaw/media/generated_{ts}_{i}.png') with open(fpath, 'wb') as f: f.write(img_data) print(fpath) "
Aspect Ratios
Add "aspect_ratio": "<ratio>" to the JSON body. Supported values: RatioUse case1:1Social media, thumbnails16:9 / 9:16Widescreen, mobile stories4:3 / 3:4Presentations, portraits3:2 / 2:3Photography2:1 / 1:2Banners, headersautoModel picks best ratio (default)
Batch Generation
Set "n": <count> (1-10) to generate multiple images in one request.
2. Image Editing / Style Transfer
Edit an existing image by providing a source image plus an edit prompt. Uses the same /v1/images/generations endpoint with an added image_url field. Do NOT use /v1/images/edits with multipart โ xAI requires JSON. IMPORTANT: For local files, use Python to build the payload JSON file, then curl with @file. Inline base64 in curl args causes "Argument list too long" for images >~100KB. NOTE: This is NOT true image editing โ the API generates a new image inspired by the source. It cannot make pixel-precise edits (e.g. changing only a car's color while keeping everything else identical).
Edit from local file (recommended approach):
python3 -c " import json, base64 with open('<SOURCE_PATH>', 'rb') as f: b64 = base64.b64encode(f.read()).decode() payload = { 'model': 'grok-imagine-image', 'prompt': '<EDIT_PROMPT>', 'image_url': f'data:image/png;base64,{b64}', 'n': 1, 'response_format': 'b64_json' } with open('/tmp/img_edit_payload.json', 'w') as f: json.dump(payload, f) print('Payload ready') " && \ curl -s https://api.x.ai/v1/images/generations \ -H "Authorization: Bearer $XAI_API_KEY" \ -H "Content-Type: application/json" \ -d @/tmp/img_edit_payload.json | python3 -c " import json, sys, base64, os, time os.makedirs(os.path.expanduser('~/.openclaw/media'), exist_ok=True) r = json.load(sys.stdin) img_data = base64.b64decode(r['data'][0]['b64_json']) fpath = os.path.expanduser(f'~/.openclaw/media/edited_{int(time.time())}.png') with open(fpath, 'wb') as f: f.write(img_data) print(fpath) "
Edit from URL:
curl -s https://api.x.ai/v1/images/generations \ -H "Authorization: Bearer $XAI_API_KEY" \ -H "Content-Type: application/json" \ --data '{ "model": "grok-imagine-image", "prompt": "<EDIT_PROMPT>", "image_url": "<PUBLIC_IMAGE_URL>", "n": 1, "response_format": "b64_json" }' | python3 -c " import json, sys, base64, os, time os.makedirs(os.path.expanduser('~/.openclaw/media'), exist_ok=True) r = json.load(sys.stdin) img_data = base64.b64decode(r['data'][0]['b64_json']) fpath = os.path.expanduser(f'~/.openclaw/media/edited_{int(time.time())}.png') with open(fpath, 'wb') as f: f.write(img_data) print(fpath) "
Style Transfer Examples
Use editing with a style prompt, e.g.: "Render this as an oil painting in impressionist style" "Make this a pencil sketch with detailed shading" "Convert to pop art with bold colors" "Watercolor painting with soft edges"
3. Sending to Telegram
message tool: action=send, channel=telegram, target=<id>, message="<caption>", filePath=~/.openclaw/media/<file>.png Always include message field (required even for media-only sends) Allowed media paths: /tmp/, ~/.openclaw/media/, ~/.openclaw/agents/
Notes
Do NOT pass size parameter โ returns 400 Aspect ratio: pass aspect_ratio in JSON body (not size) Editing: use image_url field in the generations endpoint (NOT the edits endpoint with multipart) Always use "response_format": "b64_json" โ URL format returns temporary URLs that often 403 For large images: build payload with Python โ save to /tmp/ โ curl with @file syntax Max 10 images per request Images are subject to content moderation Editing is style-transfer/reimagination, NOT pixel-precise inpainting
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md