Skill: isdyh01/shortapi-ai-image-generation (version 1.0.3)

--- name: ShortApi Image Models Aggregation Skill description: "Use this skill as an entry point to discover, select, and fetch specific integration parameters for all supported AI image generation models." metadata: { "openclaw": { "requires": { "env": ["SHORTAPI_KEY"] }, "homepage": "https://shortapi.ai", }, } --- # Image Generation Models Integration Skill > Use this skill to explore and integrate all available Image Generation models through the ShortAPI platform. ## Overview ShortAPI provides a unified `/api/v1/job/create` endpoint for image generation across multiple top-tier providers natively. This skill provides an overview of all available image generation models and how to dynamically acquire the specific JSON schema required to invoke them. - **API Endpoint**: `https://api.shortapi.ai/api/v1/job/create` - **Category**: `text-to-image`, `image-to-image` - **Kind**: inference ## Available Image Models Here is the list of fully supported image generation model IDs you can use: | Model ID | Description | | ----------------------------------------- | ------------------------------------- | | [REDACTED_SECRET] | Generate images using Nano Banana Pro | | `google/nano-banana-pro/edit` | Edit images using Nano Banana Pro | | `bytedance/seedream-4.5/text-to-image` | Generate images using Seedream 4.5 | | `bytedance/seedream-4.5/edit` | Edit images using Seedream 4.5 | | `shortapi/z-image/text-to-image` | Generate images using Z-Image | | [REDACTED_SECRET] | Generate images using Nano Banana | | `google/nano-banana/edit` | Edit images using Nano Banana | | [REDACTED_SECRET] | Generate images using Midjourney V7 | | [REDACTED_SECRET] | Modify images using Midjourney V7 | | `shortapi/flux-1.0/text-to-image` | Generate images using Flux 1.0 | | `shortapi/flux-1.0/image-to-image` | Modify images using Flux 1.0 | | `alibaba/wan-2.6/text-to-image` | Generate images using Wan 2.6 | | `alibaba/wan-2.6/image-to-image` | Modify images using Wan 2.6 | | [REDACTED_SECRET] | Generate images using Nano Banana 2 | | `google/nano-banana-2/edit` | Edit images using Nano Banana 2 | | `bytedance/seedream-5.0/text-to-image` | Generate images using Seedream 5.0 | | `bytedance/seedream-5.0/edit` | Edit images using Seedream 5.0 | ## How to use an Image Model Because each image model supports different parameters (such as `aspect_ratio`, `image_size`, `guidance_scale`, or advanced controls natively built into the prompt), you need to fetch the specific model's schema document to construct a valid API request payload. ### Step 1: Fetch the specific Model API Skill Document (MANDATORY) You **MUST** first fetch the detailed skill document for the specific `<model_id>` (e.g. [REDACTED_SECRET]) before attempting to construct the POST request payload. **DO NOT** skip this step. **DO NOT** hallucinate parameters because different models have completely different parameter names for the same concept (e.g. one model might use `aspect_ratio` while another uses `image_size`). Send a `GET` request to: ```text https://shortapi.ai/api/skill/<model_id> ``` _(For example: `GET https://shortapi.ai/api/skill/google/nano-banana-pro/text-to-image`)_ This URL will return a Markdown (`.md`) text document containing the exact Input Parameters Schema for that specific model, alongside code examples. You must parse it to understand which arguments go into the `args` object. ### Step 2: Construct the JSON Payload Using the exact schema document fetched from Step 1, construct a valid JSON payload. **Only include arguments that were defined in the document fetched in Step 1.** At a minimum, standard structures generally look like this: ```json { "model": "<model_id>", "args": { "prompt": "Your descriptive text prompt here..." // ...other model-specific required or optional parameters strictly parsed from Step 1 }, "callback_url": "YOUR_OPTIONAL_WEBHOOK_URL" } ``` ### Step 3: Invoke the Unified Generation Endpoint Make an HTTP POST request to the API Endpoint. Include the Bearer token in the `Authorization` header. #### Bash (cURL) Example ```bash response=$(curl --request POST \ --url https://api.shortapi.ai/api/v1/job/create \ --header "Authorization: Bearer $SHORTAPI_KEY" \ --header "Content-Type: application/json" \ --data '{ "model": [REDACTED_SECRET], "args": { "prompt": "An astronaut riding a horse in photorealistic style" } }') JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g') ``` ### Step 4: Fetch Generation Status (Background Polling) Use the returned `job_id` to poll the query API: ```bash curl --request GET \ --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \ --header "Authorization: Bearer $SHORTAPI_KEY" ``` ## Security & Privacy Compliance - **Endpoint Isolation**: This skill only communicates with `https://api.shortapi.ai`. - **Callback Lockdown**: The `callback_url` parameter is strictly user-defined. The Agent is prohibited from auto-generating or hallucinating this value. - **Credential Safety**: The `SHORTAPI_KEY` is only used in the `Authorization` header to the official API endpoint and must never be included in any callback payload. **CRITICAL BEHAVIOR FOR AGENTS:** 1. **Authentication First (SHORTAPI_KEY)**: Before any other step, you **MUST** verify if the user has a `SHORTAPI_KEY`. If it is missing, you **MUST** proactively direct the user to [https://shortapi.ai](https://shortapi.ai) to obtain their API key. **DO NOT** ask for or accept any other type of API key (e.g., OpenAI, Anthropic, etc.); the only valid key is the `SHORTAPI_KEY` from ShortAPI.ai. 2. Before constructing any API request payload, you **MUST** first complete Step 1 — fetch the specific model's skill document from `https://shortapi.ai/api/skill/<model_id>`. **DO NOT** skip this step. **DO NOT** guess or hallucinate parameters. The document returned in Step 1 is the sole source of truth for the model's input schema. 3. Image generation takes time. Once you receive the `job_id` from Step 3, you **MUST** immediately inform the user that the task has started and release them so they can ask other questions or start new conversations. 4. You **MUST** continue to poll the status endpoint in the background silently. 5. Once the polling returns a completed state (`status: "succeeded"`), you must proactively message the user with the final generation results (e.g., displaying the generated image URLs returned in the response payload). 6. When presenting results, you **MUST** not only provide the raw URL but also render the content inline for direct preview in the chat. For images, use markdown image syntax `![description](image_url)` to embed the image. For videos, use an HTML `<video controls src="video_url"></video>` tag. For audio/music, use an HTML `<audio controls src="audio_url"></audio>` tag to embed an inline audio player. The user should be able to see and play the generated result immediately without needing to open a separate browser tab.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)