'image generation' 검색 결과

Generate, edit, composite, stream, and production-review still images with OpenAI GPT Image models. Use when an agent must choose between GPT Image 2 and legacy GPT Image/DALL-E integrations, select the Image API or Responses API, build prompts and reference-image workflows, use masks or multiple inputs, preserve identity or brand details, render in-image text, handle output files and partial images, estimate cost and rate limits, migrate deprecated image code, or apply OpenAI image safety, consent, privacy, provenance, and rights requirements. Do not use for OpenAI video or audio generation.

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OpenAI GPT Image generation and editing (gpt-image-2, 1.5, 1, mini). Text-to-image, mask-based inpainting, multi-reference composition, multi-turn conversational editing via Responses API, streaming with partial images. This skill should be used when generating or editing images via OpenAI's image models, when near-perfect text rendering in images is needed, when mask-based region-aware editing is required, when multi-turn conversational image editing is desired, or when streaming progressive image delivery is needed. Complements nano-banana-pro (Gemini) as a parallel image generation backend.

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Turn real product reference photos into three ecommerce images: a clean main shot, a feature highlight, and a lifestyle scene. The workflow prioritizes product consistency and also creates an image manifest and a preview gallery.

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• Creating a main product image from a reference photo
• Showing one product feature in a dedicated image
• Creating a realistic product usage scene

Generate images from written instructions and edit saved or uploaded images using them as references. Continue refining the latest image in a conversation, adjusting details such as brightness, background, or colors while specifying what to preserve.

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• Creating an image from a written description
• Editing an uploaded image
• Refining the latest generated image

Generate photos, illustrations, product mockups, and other bitmap images, or edit existing pictures with background changes, object removal, and transparent cutouts. Use reference images to guide variations and save selected assets for the project.

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• Create a website hero image or illustration
• Replace a product photo background or remove objects
• Make a transparent cutout

Create paid-ad images from a validated creative brief and brand profile using a configured image provider. Check dimensions, text consistency, and platform requirements, then save approved variants with a manifest recording generation details and costs.

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• Generate ad images from an approved campaign brief
• Create approved visual variants within a cost limit
• Check image dimensions and text placement

Provide backup web search, image search, image downloads, and image generation for other PPT skills when the agent’s native equivalent is missing or fails. Selected images are saved locally for use in presentation files.

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• Back up unavailable web search during PPT creation
• Find and download images for presentation slides
• Generate slide images when native generation is unavailable

Create visual concepts, image-generation prompts, and optional AI-generated images for product hero images, marketing creatives, social posts, ads, ecommerce PDP visuals, and general visual design tasks. Use when the user asks for visual strategy, image prompt writing, product/marketing image direction, or direct text-to-image generation. In Codex environments use the built-in imagegen tool; elsewhere use the bundled script backed by the apiz CLI.

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Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.

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Use when the user wants Agnes AI text, image, or video generation and should execute it through the agnes-ai-cli command line instead of hand-writing raw HTTP requests.

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Optimize web images for performance with Next.js Image, responsive srcset, AVIF/WebP, lazy loading, and blur placeholders. Activate on: image optimization, LCP improvement, responsive images, AVIF, blur placeholder, next/image. NOT for: image generation/editing (use image-gen skills), SVG icon systems (use design-system-creator).

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AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.

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OpenAI API (developers.openai.com) の画像生成・画像入力リファレンス。 GPT Image 2.5 (`gpt-image-2.5-sunburst` / `flare`), Images API `images.generate` / `images.edit`, mask, reference images, quality xhigh / max, image prompting, image_generation tool (Responses API), vision (画像入力, detail, image tokens, cost calculator, vision fine-tuning)。 Sora 2 / Videos API は 2026-09-24 終了 (履歴のみ)。

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fal.ai에서 글과 이미지로 이미지·영상을 만들고 낭독 음성과 영상에 맞는 소리를 생성합니다. 모델 검색부터 비용 추산, 생성 상태 확인까지 진행합니다.

• 글로 썸네일과 상품 이미지를 만듭니다
• 기존 이미지의 화풍을 바꿉니다
• 정지 이미지를 영상으로 만듭니다

Build prompts for FLUX image generation and editing, with guidance on model selection, lighting, composition, text, and precise colors. It also covers structured scene descriptions using JSON and editing with multiple reference images.

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• Writing prompts for image generation
• Specifying brand colors and text
• Editing with multiple reference images

Turn written content into a series of one to ten illustrated image cards for social media. Choose from twelve visual styles, eight layouts, and three optional palettes, with content analysis and outline planning before image generation.

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• Turning an article into social media image cards
• Creating illustrated step-by-step tutorials
• Presenting product comparisons as image cards

Create images for Kortix blog headers, social posts, thumbnails, and other placements using its brand guidance. The workflow covers dimensions, image generation, logo and text compositing, and PNG export, with optimized WebP files for web use.

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• Creating a blog header or social link preview image
• Producing social cards and thumbnails
• Framing a screenshot of the real Kortix interface

Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.

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Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.

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Generate high-quality images from text prompts using Volcano Engine Seedream models. Supports multiple artistic styles and aspect ratios. Use this skill when users want to create images from text descriptions, generate artwork in various styles, create visual content for creative projects, or need AI-powered image generation capabilities.

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Generate, edit, and iterate still images with Runway's official API, especially native Gen-4 Image and Gen-4 Image Turbo reference workflows. Use when implementing Runway text-to-image, reference-driven image generation or natural-language image edits, task polling, secure artifact handling, production retries, cost controls, or Runway image API QA. Do not use for Runway video generation or third-party gateway APIs.

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Plan, generate, edit, and quality-check still images with Google's Gemini native image models (Nano Banana), including Gemini 3.1 Flash Image, Gemini 3.1 Flash-Lite Image, Gemini 3 Pro Image, and legacy Gemini 2.5 Flash Image. Use for model and API-route selection, conversational editing, multi-reference composition, thinking and Google Search grounding, resolution/aspect-ratio control, exact-text and brand workflows, SynthID/provenance, safety, privacy, rights, and migration from legacy Gemini or Imagen image endpoints. Do not use for Veo/video generation or Gemini Live/audio work.

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AI-driven image generation and editing tool for creating high-quality product images. Triggered when users ask to generate images, create product pictures, edit photos, text-to-image, image-to-image, replace backgrounds, transform styles, composite products into scenes, swap models, or create any type of AI-generated visual content. Even if the user does not explicitly say "AI image," this skill should be triggered whenever the request involves creating, modifying, or transforming images.

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Build image generation pipelines with Stable Diffusion, FLUX, ControlNet, LoRA, and ComfyUI workflows. Activate on: image generation pipeline, ComfyUI workflow, ControlNet, LoRA training, diffusion model. NOT for: video generation (ai-video-production-master), image classification (computer-vision-pipeline).

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