📦 deps(thirdparty): update snapshots
This commit is contained in:
ci[bot]
@@ -1,6 +1,6 @@
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---
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name: design
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description: "Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini or Atlas Cloud AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads."
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description: "Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads."
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argument-hint: "[design-type] [context]"
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license: MIT
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metadata:
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@@ -37,22 +37,27 @@ Unified design skill: brand, tokens, UI, logo, CIP, slides, banners, social phot
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| Social media images/photos | Social Photos (built-in) | `references/social-photos-design.md` |
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| SVG icons, icon sets | Icon (built-in) | `references/icon-design.md` |
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## Script Paths
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Script paths in this skill and its `references/` are relative to the directory that contains this SKILL.md, not to the project: `scripts/<file>` is this skill's own `scripts/` folder, and `../<skill>/scripts/<file>` is a sibling sub-skill installed alongside it. Build the full path from that directory (Claude Code reports it as the skill's base directory when the skill loads) and keep the working directory at the project root — the scripts read and write project files such as `docs/brand-guidelines.md`, `assets/design-tokens.json` or `src/` relative to it.
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## Logo Design (Built-in)
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55+ styles, 30 color palettes, 25 industry guides. Gemini Nano Banana models.
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55+ styles, 30 color palettes, 25 industry guides. Gemini Nano Banana, Atlas
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Cloud, and MuAPI image generation.
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### Logo: Generate Design Brief
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```bash
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python3 ~/.claude/skills/design/scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName"
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python3 scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName"
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```
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### Logo: Search Styles/Colors/Industries
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```bash
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python3 ~/.claude/skills/design/scripts/logo/search.py "minimalist clean" --domain style
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python3 ~/.claude/skills/design/scripts/logo/search.py "tech professional" --domain color
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python3 ~/.claude/skills/design/scripts/logo/search.py "healthcare medical" --domain industry
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python3 scripts/logo/search.py "minimalist clean" --domain style
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python3 scripts/logo/search.py "tech professional" --domain color
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python3 scripts/logo/search.py "healthcare medical" --domain industry
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```
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### Logo: Generate with AI
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@@ -60,9 +65,11 @@ python3 ~/.claude/skills/design/scripts/logo/search.py "healthcare medical" --do
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**ALWAYS** generate output logo images with white background.
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```bash
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python3 ~/.claude/skills/design/scripts/logo/generate.py --brand "TechFlow" --style minimalist --industry tech
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python3 ~/.claude/skills/design/scripts/logo/generate.py --prompt "coffee shop vintage badge" --style vintage
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python3 ~/.claude/skills/design/scripts/logo/generate.py --brand "TechFlow" --provider atlas
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python3 scripts/logo/generate.py --brand "TechFlow" --style minimalist --industry tech
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python3 scripts/logo/generate.py --prompt "coffee shop vintage badge" --style vintage
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python3 scripts/logo/generate.py --brand "TechFlow" --provider atlas
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python3 scripts/logo/generate.py --brand "TechFlow" --provider muapi
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python3 scripts/logo/generate.py --brand "TechFlow" --provider muapi --muapi-model nano-banana-pro
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```
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**IMPORTANT:** When scripts fail, try to fix them directly.
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@@ -76,32 +83,32 @@ After generation, **ALWAYS** ask user about HTML preview via `AskUserQuestion`.
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### CIP: Generate Brief
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```bash
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python3 ~/.claude/skills/design/scripts/cip/search.py "tech startup" --cip-brief -b "BrandName"
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python3 scripts/cip/search.py "tech startup" --cip-brief -b "BrandName"
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```
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### CIP: Search Domains
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```bash
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python3 ~/.claude/skills/design/scripts/cip/search.py "business card letterhead" --domain deliverable
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python3 ~/.claude/skills/design/scripts/cip/search.py "luxury premium elegant" --domain style
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python3 ~/.claude/skills/design/scripts/cip/search.py "hospitality hotel" --domain industry
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python3 ~/.claude/skills/design/scripts/cip/search.py "office reception" --domain mockup
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python3 scripts/cip/search.py "business card letterhead" --domain deliverable
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python3 scripts/cip/search.py "luxury premium elegant" --domain style
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python3 scripts/cip/search.py "hospitality hotel" --domain industry
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python3 scripts/cip/search.py "office reception" --domain mockup
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```
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### CIP: Generate Mockups
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```bash
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# With logo (RECOMMENDED)
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --deliverable "business card" --industry "consulting"
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python3 scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --deliverable "business card" --industry "consulting"
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# Full CIP set
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --industry "consulting" --set
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python3 scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --industry "consulting" --set
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# Pro model (4K text)
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo logo.png --deliverable "business card" --model pro
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python3 scripts/cip/generate.py --brand "TopGroup" --logo logo.png --deliverable "business card" --model pro
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# Without logo
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TechFlow" --deliverable "business card" --no-logo-prompt
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python3 scripts/cip/generate.py --brand "TechFlow" --deliverable "business card" --no-logo-prompt
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```
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Models: `flash` (default, `gemini-2.5-flash-image`), `pro` (`gemini-3-pro-image-preview`)
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@@ -109,7 +116,7 @@ Models: `flash` (default, `gemini-2.5-flash-image`), `pro` (`gemini-3-pro-image-
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### CIP: Render HTML Presentation
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```bash
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python3 ~/.claude/skills/design/scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images /path/to/cip-output
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python3 scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images /path/to/cip-output
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```
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**Tip:** If no logo exists, use Logo Design section above first.
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@@ -184,21 +191,21 @@ Load `references/banner-sizes-and-styles.md` for complete sizes and styles refer
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### Icon: Generate Single Icon
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "settings gear" --style outlined
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "shopping cart" --style filled --color "#6366F1"
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python3 ~/.claude/skills/design/scripts/icon/generate.py --name "dashboard" --category navigation --style duotone
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python3 scripts/icon/generate.py --prompt "settings gear" --style outlined
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python3 scripts/icon/generate.py --prompt "shopping cart" --style filled --color "#6366F1"
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python3 scripts/icon/generate.py --name "dashboard" --category navigation --style duotone
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```
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### Icon: Generate Batch Variations
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons
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python3 scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons
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```
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### Icon: Multi-size Export
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons
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python3 scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons
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```
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### Icon: Top Styles
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@@ -304,8 +311,20 @@ python3 --version || python --version
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```bash
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export GEMINI_API_KEY="your-key" # https://aistudio.google.com/apikey
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pip install google-genai pillow
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# Optional MuAPI provider (no extra Python package required)
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export MUAPI_API_KEY="your-key"
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```
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MuAPI uses the asynchronous model endpoint and prediction result API. See the
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[MuAPI API reference](https://muapi.ai/docs/api-reference) for authentication
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and the [nano-banana model contract](https://api.muapi.ai/api/v1/models/nano-banana)
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or [nano-banana-pro model contract](https://api.muapi.ai/api/v1/models/nano-banana-pro)
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for the current model-specific schemas. The logo generator supports both documented
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model slugs and sends their shared required `prompt` plus optional `aspect_ratio`
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fields; the Pro model also accepts an optional `resolution` field that this focused
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logo workflow leaves at the provider default.
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> **Note for Windows:** Use `python` instead of `pip` where needed (e.g., `python -m pip install ...`).
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## Integration
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@@ -16,49 +16,49 @@ Corporate Identity Program design with 50+ deliverables, 20 styles, 20 industrie
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### CIP Brief (Start Here)
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```bash
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python3 ~/.claude/skills/design/scripts/cip/search.py "tech startup" --cip-brief -b "BrandName"
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python3 scripts/cip/search.py "tech startup" --cip-brief -b "BrandName"
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```
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### Search Domains
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```bash
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# Deliverables
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python3 ~/.claude/skills/design/scripts/cip/search.py "business card letterhead" --domain deliverable
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python3 scripts/cip/search.py "business card letterhead" --domain deliverable
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# Design styles
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python3 ~/.claude/skills/design/scripts/cip/search.py "luxury premium elegant" --domain style
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python3 scripts/cip/search.py "luxury premium elegant" --domain style
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# Industry guidelines
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python3 ~/.claude/skills/design/scripts/cip/search.py "hospitality hotel" --domain industry
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python3 scripts/cip/search.py "hospitality hotel" --domain industry
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# Mockup contexts
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python3 ~/.claude/skills/design/scripts/cip/search.py "office reception" --domain mockup
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python3 scripts/cip/search.py "office reception" --domain mockup
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```
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### Generate Mockups
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```bash
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# With logo (RECOMMENDED - uses image editing)
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --deliverable "business card" --industry "consulting"
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python3 scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --deliverable "business card" --industry "consulting"
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# Full CIP set with logo
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --industry "consulting" --set
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python3 scripts/cip/generate.py --brand "TopGroup" --logo /path/to/logo.png --industry "consulting" --set
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# Pro model for 4K text rendering
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TopGroup" --logo logo.png --deliverable "business card" --model pro
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python3 scripts/cip/generate.py --brand "TopGroup" --logo logo.png --deliverable "business card" --model pro
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# Custom deliverables with aspect ratio
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "GreenLeaf" --logo logo.png --industry "organic food" --deliverables "letterhead,packaging,vehicle" --ratio 16:9
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python3 scripts/cip/generate.py --brand "GreenLeaf" --logo logo.png --industry "organic food" --deliverables "letterhead,packaging,vehicle" --ratio 16:9
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# Without logo (AI generates interpretation)
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python3 ~/.claude/skills/design/scripts/cip/generate.py --brand "TechFlow" --deliverable "business card" --no-logo-prompt
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python3 scripts/cip/generate.py --brand "TechFlow" --deliverable "business card" --no-logo-prompt
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```
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### Render HTML Presentation
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```bash
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python3 ~/.claude/skills/design/scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images /path/to/cip-output
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python3 ~/.claude/skills/design/scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images ./topgroup-cip --output presentation.html
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python3 scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images /path/to/cip-output
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python3 scripts/cip/render-html.py --brand "TopGroup" --industry "consulting" --images ./topgroup-cip --output presentation.html
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```
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## Models
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@@ -164,14 +164,14 @@ Application Code
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**Brand:**
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```bash
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node .claude/skills/brand/scripts/inject-brand-context.cjs
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node .claude/skills/brand/scripts/validate-asset.cjs <path>
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node ../brand/scripts/inject-brand-context.cjs
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node ../brand/scripts/validate-asset.cjs <path>
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```
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**Tokens:**
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```bash
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node .claude/skills/design-system/scripts/generate-tokens.cjs -c tokens.json
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node .claude/skills/design-system/scripts/validate-tokens.cjs -d src/
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node ../design-system/scripts/generate-tokens.cjs -c tokens.json
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node ../design-system/scripts/validate-tokens.cjs -d src/
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```
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**Components:**
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@@ -13,29 +13,29 @@ AI-powered SVG icon generation using Gemini 3.1 Pro Preview. 15 styles, 12 categ
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### Generate Single Icon
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "settings gear" --style outlined
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "shopping cart" --style filled --color "#6366F1"
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python3 ~/.claude/skills/design/scripts/icon/generate.py --name "dashboard" --category navigation --style duotone
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python3 scripts/icon/generate.py --prompt "settings gear" --style outlined
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python3 scripts/icon/generate.py --prompt "shopping cart" --style filled --color "#6366F1"
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python3 scripts/icon/generate.py --name "dashboard" --category navigation --style duotone
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```
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### Generate Batch Variations
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "notification bell" --batch 6 --style outlined --output-dir ./icons
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python3 scripts/icon/generate.py --prompt "cloud upload" --batch 4 --output-dir ./icons
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python3 scripts/icon/generate.py --prompt "notification bell" --batch 6 --style outlined --output-dir ./icons
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```
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### Generate Multiple Sizes
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons
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python3 scripts/icon/generate.py --prompt "user profile" --sizes "16,24,32,48" --output-dir ./icons
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```
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### List Styles/Categories
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```bash
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python3 ~/.claude/skills/design/scripts/icon/generate.py --list-styles
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python3 ~/.claude/skills/design/scripts/icon/generate.py --list-categories
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python3 scripts/icon/generate.py --list-styles
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python3 scripts/icon/generate.py --list-categories
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```
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## CLI Options
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@@ -1,13 +1,13 @@
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# Logo Design Reference
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AI-powered logo design with 55+ styles, 30 color palettes, 25 industry guides. Gemini Nano Banana is the default provider; Atlas Cloud is also available as an explicit opt-in.
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AI-powered logo design with 55+ styles, 30 color palettes, 25 industry guides. Gemini Nano Banana is the default provider; Atlas Cloud and MuAPI are also available as explicit opt-in providers.
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## Scripts
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| Script | Purpose |
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|--------|---------|
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| `scripts/logo/search.py` | Search styles, colors, industries; generate design briefs |
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| `scripts/logo/generate.py` | Generate logos with Gemini Nano Banana or Atlas Cloud |
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| `scripts/logo/generate.py` | Generate logos with Gemini Nano Banana, Atlas Cloud, or MuAPI |
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| `scripts/logo/core.py` | BM25 search engine for logo data |
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## Commands
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@@ -15,20 +15,20 @@ AI-powered logo design with 55+ styles, 30 color palettes, 25 industry guides. G
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### Design Brief (Start Here)
|
||||
|
||||
```bash
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python3 ~/.claude/skills/design/scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName"
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||||
python3 scripts/logo/search.py "tech startup modern" --design-brief -p "BrandName"
|
||||
```
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|
||||
### Search Domains
|
||||
|
||||
```bash
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||||
# Styles
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python3 ~/.claude/skills/design/scripts/logo/search.py "minimalist clean" --domain style
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||||
python3 scripts/logo/search.py "minimalist clean" --domain style
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||||
# Color palettes
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python3 ~/.claude/skills/design/scripts/logo/search.py "tech professional" --domain color
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||||
python3 scripts/logo/search.py "tech professional" --domain color
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||||
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||||
# Industry guidelines
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||||
python3 ~/.claude/skills/design/scripts/logo/search.py "healthcare medical" --domain industry
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python3 scripts/logo/search.py "healthcare medical" --domain industry
|
||||
```
|
||||
|
||||
### Generate Logo
|
||||
@@ -36,12 +36,14 @@ python3 ~/.claude/skills/design/scripts/logo/search.py "healthcare medical" --do
|
||||
**ALWAYS** use white background for output logos.
|
||||
|
||||
```bash
|
||||
python3 ~/.claude/skills/design/scripts/logo/generate.py --brand "TechFlow" --style minimalist --industry tech
|
||||
python3 ~/.claude/skills/design/scripts/logo/generate.py --prompt "coffee shop vintage badge" --style vintage
|
||||
python3 ~/.claude/skills/design/scripts/logo/generate.py --brand "TechFlow" --provider atlas
|
||||
python3 scripts/logo/generate.py --brand "TechFlow" --style minimalist --industry tech
|
||||
python3 scripts/logo/generate.py --prompt "coffee shop vintage badge" --style vintage
|
||||
python3 scripts/logo/generate.py --brand "TechFlow" --provider atlas
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||||
python3 scripts/logo/generate.py --brand "TechFlow" --provider muapi
|
||||
python3 scripts/logo/generate.py --brand "TechFlow" --provider muapi --muapi-model nano-banana-pro
|
||||
```
|
||||
|
||||
Options: `--style`, `--industry`, `--prompt`, `--provider`, `--atlas-model`
|
||||
Options: `--style`, `--industry`, `--prompt`, `--provider`, `--atlas-model`, `--muapi-model`
|
||||
|
||||
## Available Styles
|
||||
|
||||
@@ -93,4 +95,16 @@ pip install google-genai
|
||||
|
||||
# Optional Atlas Cloud provider (no extra Python package required)
|
||||
export ATLASCLOUD_API_KEY="your-key"
|
||||
|
||||
# Optional MuAPI provider (no extra Python package required)
|
||||
export MUAPI_API_KEY="your-key"
|
||||
```
|
||||
|
||||
MuAPI uses the asynchronous model endpoint and prediction result API. See the
|
||||
[MuAPI API reference](https://muapi.ai/docs/api-reference) for authentication
|
||||
and the [nano-banana model contract](https://api.muapi.ai/api/v1/models/nano-banana)
|
||||
or [nano-banana-pro model contract](https://api.muapi.ai/api/v1/models/nano-banana-pro)
|
||||
for the current model-specific schemas. The logo generator supports both documented
|
||||
model slugs and sends their shared required `prompt` plus optional `aspect_ratio`
|
||||
fields; the Pro model also accepts an optional `resolution` field that this focused
|
||||
logo workflow leaves at the provider default.
|
||||
|
||||
@@ -66,10 +66,10 @@
|
||||
|
||||
```bash
|
||||
# Find formula for slide type
|
||||
python .claude/skills/design-system/scripts/search-slides.py "problem agitation" -d copy
|
||||
python ../design-system/scripts/search-slides.py "problem agitation" -d copy
|
||||
|
||||
# Get emotion-appropriate formula
|
||||
python .claude/skills/design-system/scripts/search-slides.py "urgency cta" -d copy
|
||||
python ../design-system/scripts/search-slides.py "urgency cta" -d copy
|
||||
```
|
||||
|
||||
## Quick Reference
|
||||
|
||||
@@ -113,10 +113,10 @@
|
||||
|
||||
```bash
|
||||
# Find layout for specific use
|
||||
python .claude/skills/design-system/scripts/search-slides.py "metrics dashboard" -d layout
|
||||
python ../design-system/scripts/search-slides.py "metrics dashboard" -d layout
|
||||
|
||||
# Contextual recommendation
|
||||
python .claude/skills/design-system/scripts/search-slides.py "traction slide" \
|
||||
python ../design-system/scripts/search-slides.py "traction slide" \
|
||||
--context --position 4 --total 10
|
||||
```
|
||||
|
||||
|
||||
@@ -76,10 +76,10 @@ Pattern breaks at 1/3 and 2/3 positions create engagement peaks.
|
||||
|
||||
```bash
|
||||
# Find strategy by goal
|
||||
python .claude/skills/design-system/scripts/search-slides.py "investor pitch" -d strategy
|
||||
python ../design-system/scripts/search-slides.py "investor pitch" -d strategy
|
||||
|
||||
# Get emotion arc
|
||||
python .claude/skills/design-system/scripts/search-slides.py "series a funding" -d strategy --json
|
||||
python ../design-system/scripts/search-slides.py "series a funding" -d strategy --json
|
||||
```
|
||||
|
||||
## Matching Strategy to Context
|
||||
|
||||
@@ -427,7 +427,10 @@ Image Editing Mode:
|
||||
action = check_logo_required(args.brand, skip_prompt=args.no_logo_prompt)
|
||||
if action == 'generate':
|
||||
print("\n💡 To generate a logo, use the logo-design skill:")
|
||||
print(f" python ~/.claude/skills/design/scripts/logo/generate.py --brand \"{args.brand}\" --industry \"{args.industry}\"")
|
||||
# Resolved from this file so the hint is correct from any cwd and in
|
||||
# every install layout (plugin cache, project or --global install).
|
||||
logo_script = Path(__file__).resolve().parents[1] / "logo" / "generate.py"
|
||||
print(f" python \"{logo_script}\" --brand \"{args.brand}\" --industry \"{args.industry}\"")
|
||||
print("\n Then re-run this command with --logo <generated_logo.png>")
|
||||
sys.exit(0)
|
||||
elif action == 'exit':
|
||||
|
||||
@@ -1,12 +1,15 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Logo generation with Gemini or Atlas Cloud.
|
||||
"""Logo generation with Gemini, Atlas Cloud, or MuAPI.
|
||||
|
||||
Gemini remains the default provider. Atlas Cloud is opt-in with
|
||||
``--provider atlas`` and uses its asynchronous image generation API.
|
||||
``--provider atlas`` and uses its asynchronous image generation API. MuAPI is
|
||||
opt-in with ``--provider muapi`` and uses its asynchronous image generation API
|
||||
with the selected model's prompt/aspect-ratio contract.
|
||||
|
||||
Models:
|
||||
- Nano Banana (default): gemini-2.5-flash-image - fast, high-volume, low-latency
|
||||
- Nano Banana Pro (--pro): gemini-3-pro-image-preview - professional quality, advanced reasoning
|
||||
- MuAPI Nano Banana (--provider muapi): nano-banana - hosted asynchronous image generation
|
||||
|
||||
Usage:
|
||||
python generate.py --prompt "tech startup logo minimalist blue"
|
||||
@@ -14,6 +17,8 @@ Usage:
|
||||
python generate.py --brand "TechFlow" --industry tech --style minimalist
|
||||
python generate.py --brand "TechFlow" --pro # Use Nano Banana Pro model
|
||||
python generate.py --brand "TechFlow" --provider atlas
|
||||
python generate.py --brand "TechFlow" --provider muapi
|
||||
python generate.py --brand "TechFlow" --provider muapi --muapi-model nano-banana-pro
|
||||
|
||||
Batch mode (generates multiple variants):
|
||||
python generate.py --brand "Unikorn" --batch 9 --output-dir ./logos --pro
|
||||
@@ -57,6 +62,7 @@ load_env()
|
||||
# ============ CONFIGURATION ============
|
||||
GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")
|
||||
ATLASCLOUD_API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
|
||||
MUAPI_API_KEY = os.environ.get("MUAPI_API_KEY")
|
||||
|
||||
# Gemini "Nano Banana" model configurations for image generation
|
||||
GEMINI_FLASH = "gemini-2.5-flash-image" # Nano Banana: fast, high-volume, low-latency
|
||||
@@ -65,9 +71,14 @@ GEMINI_PRO = "gemini-3-pro-image-preview" # Nano Banana Pro: professional quali
|
||||
# Atlas Cloud model validated against the live model catalog and schema.
|
||||
ATLAS_MODEL = "google/nano-banana-2-lite/text-to-image"
|
||||
ATLAS_API_BASE = "https://api.atlascloud.ai/api/v1"
|
||||
HTTP_USER_AGENT = "ui-ux-pro-max/2.5 (Atlas Cloud logo provider)"
|
||||
MUAPI_MODEL = "nano-banana"
|
||||
MUAPI_MODELS = ("nano-banana", "nano-banana-pro")
|
||||
MUAPI_API_BASE = "https://api.muapi.ai/api/v1"
|
||||
HTTP_USER_AGENT = "ui-ux-pro-max/2.5 (logo generation)"
|
||||
ATLAS_POLL_INTERVAL = 2
|
||||
ATLAS_MAX_POLLS = 90
|
||||
MUAPI_POLL_INTERVAL = 2
|
||||
MUAPI_MAX_POLLS = 90
|
||||
|
||||
# Supported aspect ratios
|
||||
ASPECT_RATIOS = ["1:1", "16:9", "9:16", "4:3", "3:4"]
|
||||
@@ -156,13 +167,13 @@ def _validate_public_https_url(url):
|
||||
or parsed.username
|
||||
or parsed.password
|
||||
):
|
||||
raise ValueError("Atlas Cloud returned an invalid media URL")
|
||||
raise ValueError("Provider returned an invalid media URL")
|
||||
|
||||
hostname = parsed.hostname.lower().rstrip(".")
|
||||
if hostname == "localhost" or hostname.endswith(
|
||||
(".localhost", ".local", ".internal")
|
||||
):
|
||||
raise ValueError("Atlas Cloud media URL used a local hostname")
|
||||
raise ValueError("Provider media URL used a local hostname")
|
||||
|
||||
try:
|
||||
ip = ipaddress.ip_address(hostname)
|
||||
@@ -170,17 +181,26 @@ def _validate_public_https_url(url):
|
||||
return
|
||||
else:
|
||||
if not ip.is_global:
|
||||
raise ValueError("Atlas Cloud media URL used a non-public address")
|
||||
raise ValueError("Provider media URL used a non-public address")
|
||||
|
||||
|
||||
def _json_request(url, api_key, method="GET", payload=None):
|
||||
def _json_request(
|
||||
url, api_key, method="GET", payload=None, api_key_header="Authorization"
|
||||
):
|
||||
if api_key_header == "Authorization":
|
||||
auth_value = f"Bearer {api_key}"
|
||||
elif api_key_header == "x-api-key":
|
||||
auth_value = api_key
|
||||
else:
|
||||
raise ValueError("Unsupported API key header")
|
||||
|
||||
body = json.dumps(payload).encode("utf-8") if payload is not None else None
|
||||
request = Request(
|
||||
url,
|
||||
data=body,
|
||||
method=method,
|
||||
headers={
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
api_key_header: auth_value,
|
||||
"Accept": "application/json",
|
||||
"User-Agent": HTTP_USER_AGENT,
|
||||
**({"Content-Type": "application/json"} if body is not None else {}),
|
||||
@@ -192,10 +212,10 @@ def _json_request(url, api_key, method="GET", payload=None):
|
||||
except HTTPError as exc:
|
||||
detail = exc.read().decode("utf-8", errors="replace")
|
||||
raise RuntimeError(
|
||||
f"Atlas Cloud request failed ({exc.code}): {detail[:300]}"
|
||||
f"Provider request failed ({exc.code}): {detail[:300]}"
|
||||
) from exc
|
||||
except (URLError, TimeoutError, json.JSONDecodeError) as exc:
|
||||
raise RuntimeError(f"Atlas Cloud request failed: {exc}") from exc
|
||||
raise RuntimeError(f"Provider request failed: {exc}") from exc
|
||||
|
||||
|
||||
def _atlas_prediction_data(response):
|
||||
@@ -210,6 +230,10 @@ def _atlas_prediction_data(response):
|
||||
|
||||
|
||||
def _download_atlas_image(url, output_path):
|
||||
_download_image(url, output_path, "image provider")
|
||||
|
||||
|
||||
def _download_image(url, output_path, provider_name):
|
||||
_validate_public_https_url(url)
|
||||
request = Request(
|
||||
url,
|
||||
@@ -222,14 +246,14 @@ def _download_atlas_image(url, output_path):
|
||||
content_type = response.headers.get_content_type()
|
||||
if not content_type.startswith("image/"):
|
||||
raise RuntimeError(
|
||||
f"Atlas Cloud output is not an image ({content_type})"
|
||||
f"{provider_name} output is not an image ({content_type})"
|
||||
)
|
||||
image_data = response.read()
|
||||
except (HTTPError, URLError, TimeoutError) as exc:
|
||||
raise RuntimeError(f"Unable to download Atlas Cloud image: {exc}") from exc
|
||||
raise RuntimeError(f"Unable to download {provider_name} image: {exc}") from exc
|
||||
|
||||
if not image_data:
|
||||
raise RuntimeError("Atlas Cloud returned an empty image")
|
||||
raise RuntimeError(f"{provider_name} returned an empty image")
|
||||
with open(output_path, "wb") as output_file:
|
||||
output_file.write(image_data)
|
||||
|
||||
@@ -281,6 +305,132 @@ def _generate_with_atlas(prompt, output_path, aspect_ratio, api_key, model):
|
||||
raise RuntimeError("Atlas Cloud prediction timed out while polling")
|
||||
|
||||
|
||||
def _muapi_response_objects(response):
|
||||
"""Return the response and common MuAPI envelopes without guessing fields."""
|
||||
if not isinstance(response, dict):
|
||||
raise TypeError("MuAPI returned an invalid response")
|
||||
|
||||
objects = [response]
|
||||
for key in ("data", "output", "result"):
|
||||
value = response.get(key)
|
||||
if isinstance(value, dict) and value not in objects:
|
||||
objects.append(value)
|
||||
return objects
|
||||
|
||||
|
||||
def _muapi_response_value(response, keys):
|
||||
for item in _muapi_response_objects(response):
|
||||
for key in keys:
|
||||
value = item.get(key)
|
||||
if value not in (None, ""):
|
||||
return value
|
||||
return None
|
||||
|
||||
|
||||
def _muapi_error(response):
|
||||
value = _muapi_response_value(response, ("error", "message", "detail"))
|
||||
if isinstance(value, str):
|
||||
return value[:300]
|
||||
return "MuAPI request failed"
|
||||
|
||||
|
||||
def _muapi_result_url(response):
|
||||
"""Return the documented result URL from the creation response."""
|
||||
for item in _muapi_response_objects(response):
|
||||
urls = item.get("urls")
|
||||
if not isinstance(urls, dict) or "get" not in urls:
|
||||
continue
|
||||
|
||||
result_url = urls.get("get")
|
||||
if not isinstance(result_url, str) or not result_url:
|
||||
raise RuntimeError(
|
||||
"MuAPI creation response did not include a valid HTTPS result URL"
|
||||
)
|
||||
try:
|
||||
_validate_public_https_url(result_url)
|
||||
except ValueError as exc:
|
||||
raise RuntimeError(
|
||||
"MuAPI creation response did not include a valid HTTPS result URL"
|
||||
) from exc
|
||||
return result_url
|
||||
|
||||
raise RuntimeError(
|
||||
"MuAPI creation response did not include a valid HTTPS result URL"
|
||||
)
|
||||
|
||||
|
||||
def _muapi_output_url(response):
|
||||
for item in _muapi_response_objects(response):
|
||||
outputs = item.get("outputs")
|
||||
if isinstance(outputs, list):
|
||||
for output in outputs:
|
||||
if isinstance(output, str) and output.startswith("https://"):
|
||||
return output
|
||||
if isinstance(output, dict):
|
||||
for key in ("url", "image_url"):
|
||||
value = output.get(key)
|
||||
if isinstance(value, str) and value.startswith("https://"):
|
||||
return value
|
||||
raise RuntimeError("MuAPI completed without an HTTPS image URL")
|
||||
|
||||
|
||||
def _download_muapi_image(url, output_path):
|
||||
_download_image(url, output_path, "MuAPI")
|
||||
|
||||
|
||||
def _generate_with_muapi(prompt, output_path, aspect_ratio, api_key, model):
|
||||
if not api_key:
|
||||
raise RuntimeError("MUAPI_API_KEY not set")
|
||||
if model not in MUAPI_MODELS:
|
||||
raise RuntimeError(
|
||||
f"Unsupported MuAPI logo model: {model}. "
|
||||
f"Choose one of: {', '.join(MUAPI_MODELS)}"
|
||||
)
|
||||
|
||||
payload = {
|
||||
"prompt": prompt,
|
||||
"aspect_ratio": aspect_ratio,
|
||||
}
|
||||
response = _json_request(
|
||||
f"{MUAPI_API_BASE}/{model}",
|
||||
api_key,
|
||||
method="POST",
|
||||
payload=payload,
|
||||
api_key_header="x-api-key",
|
||||
)
|
||||
request_id = _muapi_response_value(response, ("request_id", "id"))
|
||||
if not isinstance(request_id, str) or not request_id:
|
||||
raise RuntimeError("MuAPI did not return a request ID")
|
||||
result_url = _muapi_result_url(response)
|
||||
|
||||
data = response
|
||||
for poll_number in range(MUAPI_MAX_POLLS + 1):
|
||||
status = _muapi_response_value(data, ("status",))
|
||||
normalized_status = str(status or "").lower()
|
||||
if normalized_status in {"completed", "succeeded", "success"}:
|
||||
_download_muapi_image(_muapi_output_url(data), output_path)
|
||||
return
|
||||
if normalized_status in {
|
||||
"failed",
|
||||
"error",
|
||||
"timeout",
|
||||
"canceled",
|
||||
"cancelled",
|
||||
}:
|
||||
raise RuntimeError(f"MuAPI generation {normalized_status}: {_muapi_error(data)}")
|
||||
if poll_number == MUAPI_MAX_POLLS:
|
||||
break
|
||||
|
||||
time.sleep(MUAPI_POLL_INTERVAL)
|
||||
data = _json_request(
|
||||
result_url,
|
||||
api_key,
|
||||
api_key_header="x-api-key",
|
||||
)
|
||||
|
||||
raise RuntimeError("MuAPI prediction timed out while polling")
|
||||
|
||||
|
||||
def _generate_with_gemini(prompt, output_path, aspect_ratio, use_pro):
|
||||
if not GEMINI_API_KEY:
|
||||
raise RuntimeError("GEMINI_API_KEY not set")
|
||||
@@ -344,8 +494,9 @@ def generate_logo(
|
||||
aspect_ratio=None,
|
||||
provider="gemini",
|
||||
atlas_model=ATLAS_MODEL,
|
||||
muapi_model=MUAPI_MODEL,
|
||||
):
|
||||
"""Generate a logo using Gemini or Atlas Cloud image generation.
|
||||
"""Generate a logo using Gemini, Atlas Cloud, or MuAPI image generation.
|
||||
|
||||
Args:
|
||||
aspect_ratio: Image aspect ratio. Options: "1:1", "16:9", "9:16", "4:3", "3:4"
|
||||
@@ -365,6 +516,8 @@ def generate_logo(
|
||||
|
||||
if provider == "atlas":
|
||||
model_label = f"Atlas Cloud ({atlas_model})"
|
||||
elif provider == "muapi":
|
||||
model_label = f"MuAPI ({muapi_model})"
|
||||
else:
|
||||
model_label = (
|
||||
"Nano Banana Pro (gemini-3-pro-image-preview)"
|
||||
@@ -386,6 +539,14 @@ def generate_logo(
|
||||
ATLASCLOUD_API_KEY,
|
||||
atlas_model,
|
||||
)
|
||||
elif provider == "muapi":
|
||||
_generate_with_muapi(
|
||||
full_prompt,
|
||||
output_path,
|
||||
ratio,
|
||||
MUAPI_API_KEY,
|
||||
muapi_model,
|
||||
)
|
||||
else:
|
||||
_generate_with_gemini(full_prompt, output_path, ratio, use_pro)
|
||||
|
||||
@@ -407,6 +568,7 @@ def generate_batch(
|
||||
aspect_ratio=None,
|
||||
provider="gemini",
|
||||
atlas_model=ATLAS_MODEL,
|
||||
muapi_model=MUAPI_MODEL,
|
||||
):
|
||||
"""Generate multiple logo variants with different styles"""
|
||||
|
||||
@@ -430,6 +592,8 @@ def generate_batch(
|
||||
model_label = (
|
||||
f"Atlas Cloud ({atlas_model})"
|
||||
if provider == "atlas"
|
||||
else f"MuAPI ({muapi_model})"
|
||||
if provider == "muapi"
|
||||
else f"Nano Banana {'Pro' if use_pro else 'Flash'}"
|
||||
)
|
||||
ratio = aspect_ratio if aspect_ratio in ASPECT_RATIOS else DEFAULT_ASPECT_RATIO
|
||||
@@ -466,6 +630,7 @@ def generate_batch(
|
||||
aspect_ratio=aspect_ratio,
|
||||
provider=provider,
|
||||
atlas_model=atlas_model,
|
||||
muapi_model=muapi_model,
|
||||
)
|
||||
|
||||
if result:
|
||||
@@ -487,7 +652,7 @@ def generate_batch(
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Generate logos using Gemini or Atlas Cloud"
|
||||
description="Generate logos using Gemini, Atlas Cloud, or MuAPI"
|
||||
)
|
||||
parser.add_argument("--prompt", "-p", type=str, help="Logo description prompt")
|
||||
parser.add_argument("--brand", "-b", type=str, help="Brand name")
|
||||
@@ -514,7 +679,7 @@ def main():
|
||||
)
|
||||
parser.add_argument(
|
||||
"--provider",
|
||||
choices=["gemini", "atlas"],
|
||||
choices=["gemini", "atlas", "muapi"],
|
||||
default="gemini",
|
||||
help="Image provider (default: gemini)",
|
||||
)
|
||||
@@ -523,6 +688,12 @@ def main():
|
||||
default=ATLAS_MODEL,
|
||||
help=f"Atlas Cloud image model (default: {ATLAS_MODEL})",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--muapi-model",
|
||||
choices=MUAPI_MODELS,
|
||||
default=MUAPI_MODEL,
|
||||
help=f"MuAPI image model (default: {MUAPI_MODEL})",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--aspect-ratio",
|
||||
"-r",
|
||||
@@ -539,8 +710,11 @@ def main():
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.provider == "atlas" and args.pro:
|
||||
parser.error("--pro is only available with --provider gemini")
|
||||
if args.provider != "gemini" and args.pro:
|
||||
parser.error(
|
||||
"--pro is only available with --provider gemini; "
|
||||
"use --muapi-model nano-banana-pro for MuAPI"
|
||||
)
|
||||
|
||||
if args.list_styles:
|
||||
print("Available styles:")
|
||||
@@ -574,6 +748,7 @@ def main():
|
||||
aspect_ratio=args.aspect_ratio,
|
||||
provider=args.provider,
|
||||
atlas_model=args.atlas_model,
|
||||
muapi_model=args.muapi_model,
|
||||
)
|
||||
else:
|
||||
generate_logo(
|
||||
@@ -586,6 +761,7 @@ def main():
|
||||
aspect_ratio=args.aspect_ratio,
|
||||
provider=args.provider,
|
||||
atlas_model=args.atlas_model,
|
||||
muapi_model=args.muapi_model,
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -128,5 +128,161 @@ class AtlasGenerationTests(unittest.TestCase):
|
||||
logo_generate._validate_public_https_url("https://assets.local/logo.png")
|
||||
|
||||
|
||||
class MuapiGenerationTests(unittest.TestCase):
|
||||
@patch.object(logo_generate, "_download_muapi_image")
|
||||
@patch.object(logo_generate.time, "sleep")
|
||||
@patch.object(logo_generate, "_json_request")
|
||||
def test_muapi_submits_once_and_polls_until_completed(
|
||||
self, json_request, sleep, download
|
||||
):
|
||||
json_request.side_effect = [
|
||||
{
|
||||
"id": "req-123",
|
||||
"status": "created",
|
||||
"output": {
|
||||
"urls": {
|
||||
"get": "https://api.muapi.ai/api/v1/results/req-123"
|
||||
}
|
||||
},
|
||||
},
|
||||
{"id": "req-123", "status": "processing"},
|
||||
{
|
||||
"id": "req-123",
|
||||
"status": "completed",
|
||||
"output": {"outputs": ["https://media.example.com/logo.png"]},
|
||||
},
|
||||
]
|
||||
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "nano-banana"
|
||||
)
|
||||
|
||||
self.assertEqual(json_request.call_count, 3)
|
||||
self.assertEqual(
|
||||
json_request.call_args_list[0],
|
||||
call(
|
||||
f"{logo_generate.MUAPI_API_BASE}/nano-banana",
|
||||
"muapi-key",
|
||||
method="POST",
|
||||
payload={"prompt": "logo prompt", "aspect_ratio": "1:1"},
|
||||
api_key_header="x-api-key",
|
||||
),
|
||||
)
|
||||
self.assertEqual(
|
||||
json_request.call_args_list[1:],
|
||||
[
|
||||
call(
|
||||
"https://api.muapi.ai/api/v1/results/req-123",
|
||||
"muapi-key",
|
||||
api_key_header="x-api-key",
|
||||
),
|
||||
call(
|
||||
"https://api.muapi.ai/api/v1/results/req-123",
|
||||
"muapi-key",
|
||||
api_key_header="x-api-key",
|
||||
),
|
||||
],
|
||||
)
|
||||
self.assertEqual(sleep.call_count, 2)
|
||||
download.assert_called_once_with(
|
||||
"https://media.example.com/logo.png", "logo.png"
|
||||
)
|
||||
|
||||
@patch.object(logo_generate, "_json_request")
|
||||
def test_muapi_does_not_retry_generation_post(self, json_request):
|
||||
json_request.side_effect = RuntimeError("network error")
|
||||
|
||||
with self.assertRaisesRegex(RuntimeError, "network error"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "nano-banana"
|
||||
)
|
||||
|
||||
json_request.assert_called_once()
|
||||
|
||||
def test_muapi_requires_key_and_known_model(self):
|
||||
with self.assertRaisesRegex(RuntimeError, "MUAPI_API_KEY not set"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", None, "nano-banana"
|
||||
)
|
||||
|
||||
with self.assertRaisesRegex(RuntimeError, "Unsupported MuAPI logo model"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "unknown-model"
|
||||
)
|
||||
|
||||
@patch.object(logo_generate, "build_opener")
|
||||
def test_muapi_uses_x_api_key_header(self, build_opener):
|
||||
class Response:
|
||||
def __enter__(self):
|
||||
return self
|
||||
|
||||
def __exit__(self, *args):
|
||||
return None
|
||||
|
||||
@staticmethod
|
||||
def read():
|
||||
return b"{}"
|
||||
|
||||
build_opener.return_value.open.return_value = Response()
|
||||
|
||||
logo_generate._json_request(
|
||||
"https://api.muapi.ai/api/v1/nano-banana",
|
||||
"muapi-key",
|
||||
method="POST",
|
||||
payload={"prompt": "logo"},
|
||||
api_key_header="x-api-key",
|
||||
)
|
||||
|
||||
request = build_opener.return_value.open.call_args.args[0]
|
||||
headers = {key.lower(): value for key, value in request.header_items()}
|
||||
self.assertEqual(headers["x-api-key"], "muapi-key")
|
||||
self.assertNotIn("authorization", headers)
|
||||
|
||||
@patch.object(logo_generate, "_json_request")
|
||||
def test_muapi_reports_failed_prediction(self, json_request):
|
||||
json_request.side_effect = [
|
||||
{
|
||||
"request_id": "req-123",
|
||||
"output": {
|
||||
"urls": {
|
||||
"get": "https://api.muapi.ai/api/v1/results/req-123"
|
||||
}
|
||||
},
|
||||
},
|
||||
{"status": "failed", "error": "invalid prompt"},
|
||||
]
|
||||
|
||||
with self.assertRaisesRegex(RuntimeError, "invalid prompt"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "nano-banana"
|
||||
)
|
||||
|
||||
@patch.object(logo_generate, "_json_request")
|
||||
def test_muapi_requires_creation_result_url(self, json_request):
|
||||
json_request.return_value = {"request_id": "req-123", "status": "created"}
|
||||
|
||||
with self.assertRaisesRegex(RuntimeError, "valid HTTPS result URL"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "nano-banana"
|
||||
)
|
||||
|
||||
json_request.assert_called_once()
|
||||
|
||||
@patch.object(logo_generate, "_json_request")
|
||||
def test_muapi_rejects_invalid_creation_result_url(self, json_request):
|
||||
json_request.return_value = {
|
||||
"request_id": "req-123",
|
||||
"status": "created",
|
||||
"output": {"urls": {"get": "http://api.muapi.ai/results/req-123"}},
|
||||
}
|
||||
|
||||
with self.assertRaisesRegex(RuntimeError, "valid HTTPS result URL"):
|
||||
logo_generate._generate_with_muapi(
|
||||
"logo prompt", "logo.png", "1:1", "muapi-key", "nano-banana"
|
||||
)
|
||||
|
||||
json_request.assert_called_once()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
|
||||
Reference in New Issue
Block a user