Giggle Image Generation (Multi-Model)

Source: giggle-official/skills · API: giggle.pro

Generates AI images via giggle.pro's Generation API. Supports multiple models (Seedream, Midjourney, Nano Banana). Submit task → query when ready. No polling or Cron.

API Key: Set system environment variable

GIGGLE_API_KEY

. The script will prompt if not configured.

No inline Python: All commands must be executed via the
exec
tool. Never use
python3 << 'EOF'
or heredoc inline code.

No Retry on Error: If script execution encounters an error, do not retry. Report the error to the user directly and stop.

Supported Models

Model	Description
seedream45	Seedream, realistic and creative
midjourney	Midjourney style
nano-banana-2	Nano Banana 2
nano-banana-2-fast	Nano Banana 2 fast

Execution Flow: Submit and Query

Image generation is asynchronous (typically 30–120 seconds). Submit a task to get

task_id

, then query when the user wants to check status.

Important: Never pass
GIGGLE_API_KEY
in exec's
env
parameter. API Key is read from system environment variable.

Step 1: Submit Task

bash

# Text-to-image (default seedream45)
python3 scripts/generation_api.py \
  --prompt "description" --aspect-ratio 16:9 \
  --model seedream45 --resolution 2K \
  --no-wait --json

# Text-to-image - Midjourney
python3 scripts/generation_api.py \
  --prompt "description" --model midjourney \
  --aspect-ratio 16:9 --resolution 2K \
  --no-wait --json

# Image-to-image - Reference URL
python3 scripts/generation_api.py \
  --prompt "Convert to oil painting style, keep composition" \
  --reference-images "https://example.com/photo.jpg" \
  --model nano-banana-2-fast \
  --no-wait --json

# Batch generate multiple images
python3 scripts/generation_api.py \
  --prompt "description" --generate-count 4 \
  --no-wait --json

Response example:

json

{"status": "started", "task_id": "xxx"}

Store task_id in memory (

addMemory

giggle-generation-image task_id: xxx (submitted: YYYY-MM-DD HH:mm)

Tell the user: "Image generation started. It usually takes 30–120 seconds. You can ask me 'is it ready?' to check the status."

Step 2: Query Task (when user asks for status)

bash

python3 scripts/generation_api.py --query --task-id <task_id>

Behavior:

completed: Output image links for user
failed/error: Output error message
processing/pending: Output JSON
```
{"status": "...", "task_id": "xxx"}
```
; user can query again later

New Request vs Query Old Task

When the user initiates a new image generation request, run submit to create a new task. Do not reuse old task_id from memory.

When the user asks about a previous task's progress (e.g. "is it ready?", "check status"), query the task_id from memory.

Parameter Reference

Parameter	Default	Description
`--prompt`	required	Image description prompt
`--model`	seedream45	seedream45, midjourney, nano-banana-2, nano-banana-2-fast
`--aspect-ratio`	16:9	16:9, 9:16, 1:1, 3:4, 4:3, 2:3, 3:2, 21:9
`--resolution`	2K	Text-to-image: 1K, 2K, 4K (image-to-image partially supported)
`--generate-count`	1	Number of images to generate
`--reference-images`	-	Image-to-image reference; supports URL, base64, asset_id
`--watermark`	false	Add watermark (image-to-image)

Image-to-Image Reference: Three Input Methods

The image-to-image API's

reference_images

is an array of objects. Each element can be one of these three formats (can be mixed):

Method 1: URL

json

{
  "prompt": "A cute orange cat sitting on the windowsill in the sun, realistic style",
  "reference_images": [
    {
      "url": "https://assets.giggle.pro/private/example/image.jpg?Policy=EXAMPLE_POLICY&Key-Pair-Id=EXAMPLE_KEY_PAIR_ID&Signature=EXAMPLE_SIGNATURE"
    }
  ],
  "generate_count": 1,
  "model": "nano-banana-2-fast",
  "aspect_ratio": "16:9",
  "watermark": false
}

Method 2: Base64

json

{
  "prompt": "A cute orange cat sitting on the windowsill in the sun, realistic style",
  "reference_images": [
    {
      "base64": "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
    }
  ],
  "generate_count": 1,
  "model": "nano-banana-2-fast",
  "aspect_ratio": "16:9",
  "watermark": false
}

Base64 format: Pass the raw Base64 string directly. Do not add the
data:image/xxx;base64,
prefix.

Method 3: asset_id

json

{
  "prompt": "A cute orange cat sitting on the windowsill in the sun, realistic style",
  "reference_images": [
    {
      "asset_id": "vvsdsfsdf"
    }
  ],
  "generate_count": 1,
  "model": "nano-banana-2-fast",
  "aspect_ratio": "16:9",
  "watermark": false
}

For multiple reference images, add more objects to the
reference_images
array.

Interaction Guide

When the user request is vague, guide per the steps below. If the user has provided enough info, run the command directly.

Step 1: Model Selection

Question: "Which model would you like to use?"
Title: "Image Model"
Options:
- "seedream45 - Realistic & creative (recommended)"
- "midjourney - Artistic style"
- "nano-banana-2 - High quality"
- "nano-banana-2-fast - Fast generation"
multiSelect: false

Step 2: Aspect Ratio

Question: "What aspect ratio do you need?"
Title: "Aspect Ratio"
Options:
- "16:9 - Landscape (wallpaper/cover) (recommended)"
- "9:16 - Portrait (mobile)"
- "1:1 - Square"
- "Other ratios"
multiSelect: false

Step 3: Generation Mode

Question: "Do you need reference images?"
Title: "Generation Mode"
Options:
- "No - Text-to-image only"
- "Yes - Image-to-image (style transfer)"
multiSelect: false

Step 4: Execute and Display

Submit task → store task_id → inform user. When user asks for status, run query and forward stdout to user.

Link return rule: Image links in results must be full signed URLs (with Policy, Key-Pair-Id, Signature query params). Correct:

https://assets.giggle.pro/...?Policy=...&Key-Pair-Id=...&Signature=...

. Wrong: do not return unsigned URLs with only the base path (no query params).

giggle-generation-image

NPX Install

Tags

SKILL.md Content

Giggle Image Generation (Multi-Model)

Supported Models

Execution Flow: Submit and Query

Step 1: Submit Task

Step 2: Query Task (when user asks for status)

New Request vs Query Old Task

Parameter Reference

Image-to-Image Reference: Three Input Methods

Method 1: URL

Method 2: Base64

Method 3: asset_id

Interaction Guide

Step 1: Model Selection

Step 2: Aspect Ratio

Step 3: Generation Mode

Step 4: Execute and Display