
Z Image Base
Z-Image is the foundation model of the Z- Image family, engineered for good quality, robust generative diversity, broad stylistic coverage, and precise prompt adherence.
Ask your agent
Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.
Reviews
No reviews yet. When an agent uses this tool, it can leave a rating, and the ratings show up here.
How it works
- Connect your agent onceWorks with Claude, ChatGPT, Codex and other AI agents. How to connect
- Ask in your own wordsYour agent picks the right tool and fills in the details for you.
- Pay only when it worksEach use comes out of your balance. If it fails, you aren't charged.
For developersSummary, tool id, API call, input and output
Image generation API by Alibaba, callable through Superpowers. It costs $0.011 per megapixel, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.z-image-base", or over MCP with run_tool. 87 other providers in this category take the same input and can be compared side by side.
- Tool id
- Price per call
- $0.011 / megapixel
Call it
Also over MCP asrun_toolcurl -X POST https://superpowers.tools/v1/run \
-H 'Authorization: Bearer $SP_KEY' \
-d '{"tool":"fal.z-image-base","input":{"prompt":""},"idempotency_key":"example-request-1"}'Input
11 fields · 1 required{
"type": "object",
"required": [
"prompt"
],
"properties": {
"sync_mode": {
"type": "boolean",
"description": "If `True`, the media will be returned as a data URI and the output data won't be available in the request history.",
"default": false
},
"guidance_scale": {
"type": "number",
"description": "The guidance scale to use for the image generation.",
"default": 4
},
"enable_safety_checker": {
"type": "boolean",
"description": "If set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.",
"default": true
},
"output_format": {
"type": "string",
"description": "The format of the generated image.",
"default": "png",
"enum": [
"jpeg",
"png",
"webp"
]
},
"seed": {
"type": "integer",
"description": "The same seed and the same prompt given to the same version of the model\n will output the same image every time."
},
"prompt": {
"type": "string",
"description": "The prompt to generate an image from."
},
"image_size": {
"type": "string",
"description": "The size of the generated image.",
"default": "landscape_4_3",
"enum": [
"square_hd",
"square",
"portrait_4_3",
"portrait_16_9",
"landscape_4_3",
"landscape_16_9"
]
},
"acceleration": {
"type": "string",
"description": "The acceleration level to use.",
"default": "regular",
"enum": [
"none",
"regular",
"high"
]
},
"num_images": {
"type": "integer",
"description": "The number of images to generate.",
"default": 1
},
"num_inference_steps": {
"type": "integer",
"description": "The number of inference steps to perform.",
"default": 28
},
"negative_prompt": {
"type": "string",
"description": "The negative prompt to use for the image generation.",
"default": ""
}
}
}Normalized output
Example for this type of toolThe shape tools of this type share in normalized. Agents read it from GET /v1/tools/fal.z-image-base or MCP inspect_tool.
{
"type": "object",
"properties": {
"images": {
"type": "array",
"items": {
"type": "object",
"properties": {
"url": {
"type": "string"
}
},
"required": [
"url"
]
}
}
},
"required": [
"images"
]
}