Grok Imagine Image Pro
by @nixeifoit
Generates and edits high-quality PNG images via xAI Grok/Flux API using prompts, styles, aspect ratios, and batch processing with base64 output.
clawhub install grok-imagine-image-proπ About This Skill
name: grok-imagine-image-pro description: Generiert hochwertige Bilder mit xAI Grok/Flux API. Use when user asks for image generation ("mach a Bild von...", "generier PNG...", "Bild erstellen") or image editing ("Γ€ndere das Bild", "mach daraus..."). Handles Prompts, styles, aspect ratios, edits, batch generation. Outputs PNG via base64 or file. metadata: openclaw: requires: env: - XAI_API_KEY bins: - curl - python3
Grok Imagine Image Pro
API Key: $XAI_API_KEY (already configured)
Save dir: ~/.openclaw/media/ (resolves to /data/.openclaw/media/ β allowed for Telegram sending)
Available Models
grok-imagine-image β standard quality, fastergrok-imagine-image-pro β 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": "",
"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": " to the JSON body. Supported values:
| Ratio | Use case |
|-------|----------|
| 1:1 | Social media, thumbnails |
| 16:9 / 9:16 | Widescreen, mobile stories |
| 4:3 / 3:4 | Presentations, portraits |
| 3:2 / 2:3 | Photography |
| 2:1 / 1:2 | Banners, headers |
| auto | Model picks best ratio (default) |
Batch Generation
Set "n": (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 β 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 β 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('', 'rb') as f:
b64 = base64.b64encode(f.read()).decode()
payload = {
'model': 'grok-imagine-image',
'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": "",
"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.:
3. Sending to Telegram
message tool: action=send, channel=telegram, target=,
message="", filePath=~/.openclaw/media/.png
message field (required even for media-only sends)/tmp/, ~/.openclaw/media/, ~/.openclaw/agents/Notes
size parameter β returns 400aspect_ratio in JSON body (not size)image_url field in the generations endpoint (NOT the edits endpoint with multipart)"response_format": "b64_json" β URL format returns temporary URLs that often 403/tmp/ β curl with @file syntaxπ Tips & Best Practices
size parameter β returns 400aspect_ratio in JSON body (not size)image_url field in the generations endpoint (NOT the edits endpoint with multipart)"response_format": "b64_json" β URL format returns temporary URLs that often 403/tmp/ β curl with @file syntax