'image' 검색 결과

Create and edit images or generate short videos with xAI Grok. The skill explains how to write prompts, combine source images, assign reference images to video roles, and check generation progress before downloading results.

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• Change an image's style or selected details
• Combine multiple source images
• Create a short product video from reference images

Automate All Images AI operations through Rube MCP, a connection for agent tools. The skill guides tool discovery, connection checks, and execution using the input requirements returned by Composio.

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• Discovering available All Images AI operations
• Checking the service connection before execution
• Running multiple operations in a workflow

Generates a cover image through KrillinAI CLI from a complete prompt describing the title, language, composition, and style. Also checks image-provider configuration, validates the output image, and confirms that the submitted prompt was saved accurately.

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• Creating a cover image with specified title text and style
• Generating a cover at a chosen image size
• Keeping the submitted prompt alongside the generated image

Generate standalone images or supporting assets for presentations, websites, and videos through iPolloWork's image service. The skill follows requested visual details, selects a suitable authorized model, and saves the resulting image in the workspace.

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• Generate an image with a specified composition and style
• Create supporting images for presentation slides
• Prepare image assets for a website

Turn resume text shared in conversation into a designed portfolio resume image. Apply a fixed layout, incorporate optional style and color preferences, and generate a vertical image presenting the supplied experience, skills, and projects.

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• Creating a visual resume from text shared in conversation
• Presenting experience, skills, and projects in one image
• Styling a resume image with preferred colors and mood

AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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Generate Amazon and cross-border ecommerce product images from a product business card. Use when the user asks for a white-background image, showcase image, selling-point image, hero image, detail image, lifestyle image, one or more ecommerce images, or a complete image set. Always collect the business card first, then confirm image types, output location, filenames, and the generation plan before creating images.

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AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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Generate images using the brand's visual identity and Gemini API. Reads brand/creative-kit.md for visual style, crafts narrative prompts, and produces images via Nano Banana Pro (gemini-3-pro-image-preview). Supports on-brand and freestyle modes. Use when the user needs a blog header, social graphic, product shot, hero image, banner, thumbnail, or any generated image. Also use proactively when building content that would benefit from visuals. Triggers on "generate image", "create image", "make me an image", "blog header", "social graphic", "product shot", "hero image", "banner", "thumbnail", "I need an image", "visual for", or any request for generated artwork. Even if they just say "image" or "picture for this" — this is the skill.

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AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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Generate and edit images with Dreamfield's OpenAI-compatible gpt-image-2 image API. Use when the user asks Codex to create, test, or save an image from a text description, make wallpaper or illustration assets, perform image-to-image generation from reference images or clipboard images, use masks/inpainting, verify Dreamfield image generation, or troubleshoot image-generation responses such as empty data, b64_json, URL output, quota errors, or content policy errors.

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AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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Requires OFOX_API_KEY — create one at https://app.ofox.ai. Shared execution layer for the Ofox image API (api.ofox.ai) — validates parameters client-side, sends one synchronous request, base64-decodes the result, saves it to a file, and reports the real usage token counts and the computed dollar cost. Does both text-to-image (generate) and editing an existing image you supply as a local file (edit — change the background, recolour an element, alter a product photo, while leaving the rest of the picture intact). This is a library skill, not a standalone user-facing one — it is meant to be invoked by scenario skills that build model/prompt/size choices for a specific use case and then call into this skill's script rather than re-implementing the API calls — image-edit owns "change this image so that...", product-image owns a set of product images to choose between, and seedance-anime-drama owns character images for a video pipeline. Load this skill directly only when a user explicitly names the Ofox image API, asks to call it with specific low-level parameters, asks to debug a failed Ofox image request, or wants a plain "generate an image of..." from text — which is the one common case no scenario skill covers.

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Check images used in social link previews through Open Graph metadata. Verify dimensions, aspect ratio, file size, and HTTPS URLs, then resize assets and update tags to reduce missing images and unwanted cropping.

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• Auditing social link preview images
• Preparing 1200×630-pixel sharing images
• Investigating missing or cropped preview images

Review website image delivery and configure an image CDN, a service that optimizes and distributes images. Check file formats, dimensions, loading behavior, and initial screen impact, with guidance on verifying changes in DevTools.

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• Checking whether website images use a CDN
• Configuring automatic image resizing and format conversion
• Reviewing image loading and initial screen impact

Find broken or fragile image references in markup, styles, and components. Correct paths, restore missing assets, and add fallback images, then verify how the page behaves when image requests fail.

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• Find why product images are missing
• Check image paths after a build
• Add fallback images for external URLs

Check image alt attributes, the text screen readers use to explain images. Identify missing or vague descriptions, distinguish decorative and linked images, and improve text alternatives for images containing words, charts, and other complex information.

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• Finding missing or vague image alt text
• Distinguishing decorative images from informative ones
• Describing destinations for linked images

Find public web images from a text query and return image URLs with their source pages. Use the results to select visuals for documents, feeds, or creative references, with checks for image links used in deliverables.

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• Find image candidates for a document
• Collect visual references for a design
• Find remote image URLs for a feed

Generate photos, illustrations, logos, and presentation visuals through the OpenRouter Image API. Edit or combine reference images, choose among supported models, and check available settings such as resolution, output format, and transparency before generation.

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• Creating illustrations and visuals for slides or posters
• Editing colors or styles in existing images
• Combining multiple reference images

Create images from text descriptions, edit existing pictures, or combine multiple images. The script selects an image service from configured API keys and saves results in the workspace, with options for size, quality, and aspect ratio.

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• Creating illustrations or icons from text
• Adding elements to an existing image
• Combining characters from multiple images

Find reference images or photos for documents, pages, and presentations, then save selected files locally. Check that each file opens and report its location, dimensions, source, and stated license so the results are ready to review.

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• Gather reference images
• Find photos for documents or presentations
• Save selected web images locally

Build image-based conversations with LLaVA, an AI model that combines image understanding with language. Covers setup, model selection, image descriptions, follow-up questions, and memory-saving options for running models on a GPU.

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• Building a chatbot that answers questions about images
• Generating image descriptions and captions
• Exploring a scene through follow-up questions

Build image conversations with LLaVA, a model that connects image recognition with language. This skill guides setup, image descriptions, visual questions, and follow-up conversations, with examples for Python, command-line use, and a Gradio interface.

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• Build a chatbot that answers questions about images
• Write detailed descriptions of photos
• Ask follow-up questions about the same image