「images」の検索結果

Audit and repair a kohya-style LoRA dataset before training. Use when the user asks to check, validate, inspect, fix, clean, 体检, or 修 a dataset, captions, or tags. Inspect image count, repeats and step budget, resolution and aspect buckets, duplicates, corrupt or non-RGB images, missing or empty captions, trigger consistency, and tag-frequency hygiene. Return a structural PASS, WARN, or FAIL report and apply only confirmed fix_dataset.py actions, dry-run first with displaced originals quarantined.

日本語の概要は準備中です。原文の説明を表示しています。

Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.

日本語の概要は準備中です。原文の説明を表示しています。

Turn supplied photos into a refined open photo-book spread image with source-aware crops, restrained typography and tactile paper. Use for 照片记忆册、照片书册效果、editorial memory album images or an open photo-book mockup, not an interactive flipbook application.

日本語の概要は準備中です。原文の説明を表示しています。

Use for release-level accessibility and performance review, including WCAG 2.2 AA, keyboard/focus, target size, reduced motion, semantic controls, Core Web Vitals, images/fonts/JavaScript, and animation or 3D performance budgets.

日本語の概要は準備中です。原文の説明を表示しています。

Designs, generates, and packages Elementor template kits that import correctly — Envato Template Kit Import format, Elementor's native Kit format, and raw _elementor_data formats. Use when building/exporting template kits, fixing kit import errors ("newer Elementor Kit" warning, "nothing imports", broken images after import), migrating a site design into Elementor Pro, or packaging zips for any Elementor import pipeline. Covers verified manifest schemas, doc_type/template_type values, image URL sideloading rules, zip packaging constraints, and kit site-settings.

日本語の概要は準備中です。原文の説明を表示しています。

Generate Atlas Cloud images and videos through its asynchronous media API with schema-first model selection and credential-safe polling.

日本語の概要は準備中です。原文の説明を表示しています。

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, per

日本語の概要は準備中です。原文の説明を表示しています。

The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA aud

日本語の概要は準備中です。原文の説明を表示しています。

Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks to "audit on-page SEO" or "diagnose why a single page dropped"; scores titles, meta, header structure, keyword placement, links, and images with prioritized fixes. Not for E-E-A-T / publish-readiness scoring — use content-quality-auditor; not for crawl / CWV / indexing — use technical-seo-checker. 页面SEO审计/排名诊断

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks to "package the launch assets", "build a press kit", or "prep the store listing and go-live checklist"; produces a tier-scoped launch asset manifest with production status — a press kit spec (factsheet, description, history, features, videos, images, logo and icon, awards, contact), demo script and screenshot specs, a launch FAQ, dual-store listing metadata drafts against the official character budgets (per App Store Connect / Play Console documentation), and a technical go-live checklist manifest (robots flip, sitemap, OG tags, analytics verification — execution stays with technical-seo-checker and serp-markup-builder). Not for the message copy itself — use message-house-builder or content-writer; not for landing page UX — use landing-optimizer; not for keyword research beyond the store surfaces — use keyword-research. 发布资产打包/press kit/商店listing规格/上线检查清单

日本語の概要は準備中です。原文の説明を表示しています。

Audit paid-ad copy, images, video, hooks, concepts, format coverage, platform-native fit, message match, creative fatigue, accessibility, and policy across supported platforms. Use for creative audit, ad creative, creative fatigue, creative diversity, ad copy review, video review, image review, or production priorities.

日本語の概要は準備中です。原文の説明を表示しています。

Farm the stills and b-roll the beats need. Use at the assets stage, or when the user says "farm the assets", "find the images", or "get the b-roll".

日本語の概要は準備中です。原文の説明を表示しています。

Extract structured data from receipts and invoices for bookkeeping, expense tracking, and tax preparation. Supports email, photos, scanned images, PDFs, and accounting exports. Outputs vendor, date, amount, tax, line items as table, CSV, or JSON. Trigger on "process receipts", "extract receipts from email", "scan invoices", "capture expenses".

日本語の概要は準備中です。原文の説明を表示しています。

Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.

日本語の概要は準備中です。原文の説明を表示しています。

Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze text and images for harmful content using Azure AI Content Safety (@azure-rest/ai-content-safety). Use when moderating user-generated content, detecting hate speech, violence, sexual conten...

日本語の概要は準備中です。原文の説明を表示しています。

Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.

日本語の概要は準備中です。原文の説明を表示しています。

Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.

日本語の概要は準備中です。原文の説明を表示しています。

Create or refresh FriendlyBet Story of the World Cup image assets and app overlays. Use when generating new 9:16 World Cup story artwork, replacing story-assets PNGs, writing image-generation prompts, checking real player shirt numbers, placing Hebrew/English story captions, or validating that story text does not cover player faces or get cropped in WhatsApp previews.

日本語の概要は準備中です。原文の説明を表示しています。

Manage Docker containers, images, volumes, and Compose.

日本語の概要は準備中です。原文の説明を表示しています。

Generate images, video, and audio via diffusion workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Word (.docx) manipulation via MCP server. Use for reading, creating, editing, formatting Word documents including tables, footnotes, comments, images, headers, styles, and PDF conversion.

日本語の概要は準備中です。原文の説明を表示しています。

PowerPoint (.pptx) manipulation via MCP server. Use for creating slides, formatting presentations, managing placeholders, adding images, applying templates, or extracting text from .pptx files.

日本語の概要は準備中です。原文の説明を表示しています。