IMA AI Image Generator & Photo Generator — Poster, Thumbnail, Logo, Art, Illustration, Product & Social Media Graphic Design
Use when the user needs image generation or image transformation through the IMA Open API, including text-to-image, image-to-image, style transfer, or refere...
Rank
62
Safety
84
Downloads
2.2k
Updated
Oct 9, 2026
Version
1.0.14
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 9, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 9, 2026
- Adoption signal
- 2.2K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.14release · observed Apr 23, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17etzvvhp65ybcxjyj408z1nx83hx8t:ima-image-ai- Install using `clawhub skill install s17etzvvhp65ybcxjyj408z1nx83hx8t:ima-image-ai` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/allenfancy-gan/ima-image-ai before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-allenfancy-gan-ima-image-ai/snapshot"
Documentation
CLAWHUB
155,309 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
---
name: "IMA Image Generator"
version: 1.0.8
category: file-generation
author: IMA Studio (imastudio.com)
keywords: imastudio, AI image generator, image generator, AI photo generator, product photo, poster generator, thumbnail generator, logo generator, AI art generator, illustration, graphic design, social media image, text to image, image to image
argument-hint: "[text prompt or image URL]"
description: >
Use when the user needs image generation or image transformation through the IMA Open API,
including text-to-image, image-to-image, style transfer, or reference-image continuity, and
the agent should use the setup, doctor, and live-catalog-aware runtime in this repo.
requires:
env:
- IMA_API_KEY
runtime:
- python3
packages:
- requests
primaryCredential: IMA_API_KEY
credentialNote: "IMA_API_KEY is required at runtime. It is sent to api.imastudio.com and, for local image uploads, to imapi.liveme.com."
metadata:
openclaw:
primaryEnv: IMA_API_KEY
homepage: https://www.imaclaw.ai
requires:
bins:
- python3
env:
- IMA_API_KEY
persistence:
readWrite:
- ~/.openclaw/memory/ima_prefs.json
- ~/.openclaw/logs/ima_skills/
instructionScope:
crossSkillReadOptional:
- ~/.openclaw/skills/ima-knowledge-ai/references/*
---
# IMA Image AI
## When To Use
Use this repository when the user wants an image output:
- text-to-image
- image-to-image
- style transfer
- continuity via reference image
This repo is image-only. Do not route video generation, audio generation, or non-image tasks here.
## Gateway Contract
- New-machine bootstrap entrypoint: `python3 scripts/ima_runtime_setup.py`
- Environment/self-check entrypoint: `python3 scripts/ima_runtime_doctor.py`
- The official CLI entrypoint is `python3 scripts/ima_runtime_cli.py ...`.
- Always query the live product list before task creation so `attribute_id`, `credit`, `model_version`, and defaults come from the current catalog.
- Return remote HTTPS image URLs; do not download results into local attachments for the user.
- Route requests through the image capability so `text_to_image` and `image_to_image` are classified before execution.
- If `--model-id` is omitted, the runtime uses the recommended default model for that task type.
- Auto-selected defaults are operational fallbacks, not persisted user preferences.
## Quick Start
- Minimal path:
1. `python3 scripts/ima_runtime_setup.py --install`
2. `export IMA_API_KEY="ima_your_key_here"`
3. `python3 scripts/ima_runtime_cli.py --task-type text_to_image --prompt "a cinematic mountain sunset" --output-json`
- Use `python3 scripts/ima_runtime_doctor.py --output-json` when setup passes but runtime or catalog access still fails.
## Operator References
- `README.md` covers first-use paths and canonical entry commands.
- `references/shared/catalog-aware-selection.md` defines the formal live-catalog-aware model-selection contract.
- `references/operations/troubleshootingREADME.md
# IMA Image AI Official runtime for IMA image generation. Use it for: - `text_to_image` - `image_to_image` - style transfer - reference-image continuity ## Quick Start ### Minimal Path (3 Steps) ```bash python3 scripts/ima_runtime_setup.py --install ``` ```bash export IMA_API_KEY="ima_your_key_here" ``` ```bash python3 scripts/ima_runtime_cli.py \ --task-type text_to_image \ --prompt "a cinematic mountain sunset" \ --output-json ``` If you want to verify the environment before the first generation: ```bash python3 scripts/ima_runtime_doctor.py --output-json ``` ### Full Bootstrap Flow 1. Run bootstrap/setup: ```bash python3 scripts/ima_runtime_setup.py ``` If dependencies are missing, rerun with: ```bash python3 scripts/ima_runtime_setup.py --install ``` 2. Set your API key: ```bash export IMA_API_KEY="ima_your_key_here" ``` Then rerun setup to verify the local environment: ```bash python3 scripts/ima_runtime_setup.py ``` 3. Run the self-check when you want API/catalog diagnostics: ```bash python3 scripts/ima_runtime_doctor.py --output-json ``` ## Typical First-Use Scenarios ### 1. Inspect Live Models ```bash python3 scripts/ima_runtime_cli.py --task-type text_to_image --list-models --output-json ``` Use this when you want the current live model IDs before choosing one manually. ### 2. First Prompt-Only Generation Text to image with the recommended default model picked automatically: ```bash python3 scripts/ima_runtime_cli.py \ --task-type text_to_image \ --prompt "a cinematic mountain sunset" \ --output-json ``` Use this when you want the fastest path to a first successful run. If you want to override the model manually without editing placeholders, fetch a live `model_id` first: ```bash MODEL_ID="$(python3 scripts/ima_runtime_cli.py --task-type text_to_image --list-models --output-json | python3 -c 'import json,sys; print(json.load(sys.stdin)[0][\"model_id\"])')" python3 scripts/ima_runtime_cli.py \ --task-type text_to_image \ --model-id "$MODEL_ID" \ --prompt "a cinematic mountain sunset" \ --output-json ``` For `image_to_image`, the same pattern works with the image catalog: ```bash MODEL_ID="$(python3 scripts/ima_runtime_cli.py --task-type image_to_image --list-models --output-json | python3 -c 'import json,sys; print(json.load(sys.stdin)[0][\"model_id\"])')" python3 scripts/ima_runtime_cli.py \ --task-type image_to_image \ --model-id "$MODEL_ID" \ --prompt "turn this into an oil painting" \ --input-images ./example.png \ --output-json ``` ### 3. First Image-to-Image Restyle Image to image with one local reference image: ```bash python3 scripts/ima_runtime_cli.py \ --task-type image_to_image \ --prompt "turn this into an oil painting" \ --input-images ./example.png \ --output-json ``` Use this when the user already has one source image and wants a style transfer or continuity pass. ## Tuning And Troubleshooting - Parameter tuning examples: `capabilities/image/refere
references/README.md
# References Map These docs are organized around the active runtime entry and the layers under `scripts/ima_runtime`: - `gateway/` covers request entry, routing, and clarification seams. - `shared/` covers reusable policy and cross-cutting runtime rules. - `operations/` covers API lifecycle, smoke checks, and troubleshooting playbooks. - `capabilities/image/` covers image-specific behavior, model rules, parameter tuning, and scenarios. Read from gateway to shared policy to image capability detail. That follows the intended runtime path from `scripts/ima_runtime_cli.py` into `cli_flow.py`, then through shared services, and finally into `capabilities/image/*`. Useful operator-facing docs: - `operations/api-contract-and-errors.md` for request lifecycle and timeout contracts - `operations/e2e-smoke-playbook.md` for local and live smoke checks - `operations/troubleshooting.md` for common failures and copy-paste recovery commands - `shared/catalog-aware-selection.md` for the formal dynamic model-selection contract - `../capabilities/image/references/parameter-tuning.md` for practical control combinations - `../capabilities/image/references/scenarios.md` for concrete prompt-only and reference-image examples
_meta.json
{
"ownerId": "kn7ac9knfd0gdwhn8ktjvqqgj181thkt",
"slug": "ima-image-ai",
"version": "1.0.14",
"publishedAt": 1776915153672
}capabilities/image/references/models.md
# Image Models Current image model IDs: - `doubao-seedream-4.5` - `gemini-3.1-flash-image` - `gemini-3-pro-image` - `midjourney` Always bind these against the live product list before task creation. Common aliases: - `MJ` -> `midjourney` - `香蕉` -> `gemini-3.1-flash-image` - `香蕉Pro` -> `gemini-3-pro-image` - `可梦` -> `doubao-seedream-4.5`
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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