muse-image-art

muse-image-art is a detailed Python helper package built for the keyword muse image and the public website muse-image.art.

The package is intentionally more than an empty placeholder. It gives Python scripts a practical set of helpers for Muse Image metadata, Muse Image prompt starter text, deep-link generation, and SEO-friendly page metadata. That makes it useful for automation, publishing pipelines, prompt experimentation, or content pages that want to target search phrases like muse image prompt, muse image ai, and AI image generator while still pointing back to the site.

Why this package exists

This package is designed to:

• reserve a strong Python package name around muse image.
• expose reusable Muse Image site metadata.
• generate plausible prompt starter strings for AI image workflows.
• build direct links to https://muse-image.art.
• produce SEO-oriented title and description objects for content automation.

Installation

pip install muse-image-art

Upgrade to the latest published version:

pip install --upgrade muse-image-art

Quick start

from muse_image_art import (
    HOMEPAGE,
    hello,
    get_site_info,
    prompt_starter,
    build_muse_image_url,
    create_muse_image_meta,
)

print(hello())
print(HOMEPAGE)
print(get_site_info()["focus"])

prompt = prompt_starter("beauty portrait", "soft luxury lighting")
print(prompt)

deep_link = build_muse_image_url(
    prompt,
    style="editorial",
    aspect_ratio="4:5",
)
print(deep_link)

meta = create_muse_image_meta("muse image beauty portrait")
print(meta["title"])
print(meta["description"])

Included helpers

get_site_info()

Returns a dictionary containing:

• site name
• domain
• homepage
• documentation URL
• package name
• source repository
• local package path
• focus description
• default Muse Image keyword list

get_muse_image_keywords(extra=None)

Creates a deduplicated keyword list based on the muse image keyword family.

from muse_image_art import get_muse_image_keywords

print(get_muse_image_keywords(["muse image portrait", "editorial prompt"]))

prompt_starter(subject="portrait", style="cinematic editorial")

Generates a short, plausible Muse Image prompt starter:

from muse_image_art import prompt_starter

print(prompt_starter("street fashion campaign", "high contrast studio look"))

Example output:

muse image prompt for street fashion campaign, high contrast studio look, high detail, clean lighting, strong composition, professional color balance

build_muse_image_url(prompt, **options)

Builds a deep link to https://muse-image.art and attaches prompt-related query parameters.

from muse_image_art import build_muse_image_url

url = build_muse_image_url(
    "muse image luxury product shot",
    style="minimal",
    aspect_ratio="1:1",
    utm_source="seo-workflow",
    utm_medium="python",
)

print(url)

create_muse_image_meta(query, **options)

Builds a small SEO metadata object for pages targeting muse image terms.

from muse_image_art import create_muse_image_meta

meta = create_muse_image_meta(
    "muse image prompt ideas",
    canonical="https://muse-image.art/blog/muse-image-prompt-ideas",
)

print(meta)

Returned fields include:

• title
• description
• canonical
• keywords
• open_graph

Automation example

from muse_image_art import (
    prompt_starter,
    build_muse_image_url,
    create_muse_image_meta,
)

query = "muse image product photography"
prompt = prompt_starter("clean skincare bottle", "premium daylight studio")
link = build_muse_image_url(prompt, aspect_ratio="1:1")
meta = create_muse_image_meta(query)

print({"prompt": prompt, "link": link, "meta": meta})

This is useful when you want a Python script to generate:

• a Muse Image-style prompt
• a deep link back to the website
• SEO metadata for a keyword-focused article or landing page

Good use cases

• keep a Python package name reserved for muse image tooling.
• attach Muse Image metadata to internal scripts and publishing jobs.
• prepare prompt-based content ideas around AI image generation.
• generate SEO copy for pages that target muse image and related queries.
• maintain a public package page that links users back to https://muse-image.art.

Package links

• Website: https://muse-image.art
• Source: https://github.com/youram470-art/muse-image-art-python
• Issues: https://github.com/youram470-art/muse-image-art-python/issues
• PyPI: https://pypi.org/project/muse-image-art/

License

MIT