'image generation' 검색 결과

fal.ai의 AI 모델로 이미지와 동영상을 생성하도록 에이전트에 요청합니다. Flux, SDXL, ideogram 등의 모델을 지정하는 진입점으로 활용합니다.

• fal.ai로 이미지 생성하기
• fal.ai로 동영상 생성하기
• 이미지 생성 모델 지정하기

Helps agents prepare image, video, speech, music, and avatar generation requests with an exact model and API host. It explains service-specific inputs, request validation, and job resumption so unavailable models are not silently replaced.

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• Specify an exact model and API host for media generation
• Prepare image edits with reference images and masks
• Resume a timed-out generation job without submitting it again

Create short video clips from text or still images with LTX-2.3 22B. Generate supporting footage, animated backgrounds, or moving portraits while specifying camera motion, lighting, dimensions, and duration, with clips around five seconds by default.

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• Generate supporting footage for narrated videos
• Add subtle motion to slide backgrounds
• Animate still portraits

Help implement Azure OpenAI features in C# and .NET applications using SDK examples. Cover authentication, chat, document-backed answers, image generation, and audio processing, including transcription and speech generation.

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• Adding streaming chat to a .NET application
• Generating JSON responses in a defined format
• Building answers backed by Azure AI Search

Create presentations from ideas or outlines through the Banana Slides API, then export them as PPTX, PDF, or images. Also supports batch generation, redesigning existing presentations, and editing slide images with written instructions.

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• Generate a presentation from an idea or outline
• Export slides as PPTX, PDF, or images
• Generate multiple presentations in a batch

Generate paid-ad product photography variants from an authorized image and a validated brand profile. Preserve product appearance, explore studio or lifestyle concepts, and check visual quality while recording generation details, costs, and asset information for required human review.

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• Creating studio-style product photo variants
• Exploring lifestyle and contextual product scenes
• Planning ingredient, scale, or detail-focused images

[omh] Infographic card for meeting notes, a report, or PR: image prompt cards - turn meetings, reports, PRs, issues, research, and releases into domain-aware image prompt cards. Use when the user says: img-summary, img summary, visual prompt card, image card, image generation, image edit, edit this image, remove the background.

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Use when the user wants to generate a cinematic still image on Higgsfield, asks about shot framing, camera angle, or composition for image prompts, needs a specific shot type (close-up, wide shot, cowboy shot, etc.), or is working with [img] reference-based image generation. Covers distance & size shots, camera angles, and camera movement keywords optimized for AI image models (Soul 2.0, Nano Banana, Seedream, GPT Image, Flux, etc.).

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Maximum control over AI image generation — write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exact object placement, lighting direction, camera angle, lens focal length, composition, color scheme, and artistic style as deterministic JSON instead of ambiguous natural language. Use this skill when you need reproducible image generation, precise control over scene composition, or want to convert a natural language image request into a structured JSON schema for Bria Fibo models. Triggers on requests for structured prompts, controllable generation, VGL JSON, deterministic image descriptions, or Bria/FIBO structured_prompt format.

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Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.

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Use this skill whenever the user asks to generate, edit, inpaint, restyle, or create bitmap images through OpenAI's Responses API image_generation tool from Codex. This skill calls the Responses API, saves generated base64 image results to files, uses no npm or pip dependencies, works on Linux/macOS/Windows with either Node.js 18+ or Python 3, and reuses Codex's configured API base URL, model, and key instead of asking the user for credentials.

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Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscalin...

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State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

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GPT Image 2 image generation workflow for this repo MCP server. Use for gpt-image-2, OpenAI image generation, concept art, UCUF reference exploration, UI icon, badge, card art, prompt drafting, transparent-background asset drafts, and saving generated images to local files under artifacts/ui-source or other workspace paths.

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ComfyUI 워크플로로 이미지, 영상, 음성, 3D 콘텐츠를 생성합니다. 모델과 추가 노드 준비, 조건을 바꾼 일괄 생성, 진행 상황 확인도 다룹니다.

• Stable Diffusion이나 Flux로 이미지 생성
• 기존 이미지 변환과 지정 영역 다시 그리기
• 생성 조건을 바꿔 여러 후보 일괄 제작

주제나 일상의 고민에 맞는 익숙한 템플릿과 짧은 문구를 골라 글자가 들어간 PNG 밈을 만듭니다. 보유한 이미지에도 문구를 추가할 수 있습니다.

• 일상의 고민을 밈으로 표현하기
• 서로 다른 취향을 이미지로 비교하기
• 보유한 이미지에 대사 넣기

웹사이트 디자인 이미지를 먼저 생성하고 문구, 여백, 색상, 배치를 분석해 구현합니다. 섹션별 참고 이미지로 작은 노트북에서도 읽기 쉬운 화면을 구상합니다.

• 참고 이미지로 랜딩 페이지 제작
• 작은 화면에서도 읽기 쉬운 히어로 제작
• 일관된 스타일의 포트폴리오 제작

Generate realistic photo-style images with Google AI Studio for social posts and educational materials. Adjust aspect ratios, lighting, settings, and subtle imperfections to create a natural smartphone-photo look suited to each use.

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• Natural lifestyle images for social posts
• Photo-style illustrations for courses and tutorials
• Portrait or landscape images for different platforms

Create videos from text or images through 9Router using xAI Grok Imagine. Set duration, aspect ratio, and resolution, then track the generation job and download the completed video as an MP4 file.

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• Generate a video from a written scene description
• Create a video from an existing image
• Choose video duration, aspect ratio, and resolution

Build and publish a browser demo for a supplied LoRA, a model adaptation for image or video tasks. Tailor the Gradio interface to its inputs and follow the model’s recommended settings on Hugging Face Spaces.

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• Share a trained LoRA through a browser demo
• Build an interface tailored to image editing or video generation
• Apply recommended trigger words and generation settings

Create sparse vertical posters from themes, articles, or photos, using paper textures, generous empty space, experimental typography, and one accent color. It also analyzes visual references and produces reusable style rules and image generation prompts.

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• Turn an article into a poster with one visual metaphor
• Create a poster that preserves a photo's recognizable subject
• Extract reusable style rules from reference images

Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re-identification data, clothing augmentation, attribute captions, augmentation payloads, run status, or result retrieval. Runs environment setup first when controller readiness is unknown. Not for video or defect-image generation.

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Paid Gemini image generation for blog heroes, inline illustrations, and OG cards (direct API by default, optional MCP for edits). Asks for explicit consent before the first paid call. Runs only on an explicit request: /blog image, "generate a blog hero image", "blog illustration", "edit this blog image", "OG image", or when blog-write or blog-rewrite needs a hero. Not for charts (blog-chart) or stock-photo search.

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Use when the user wants to reverse-engineer an existing image ad into a reusable prompt template. Validates via Arcads — picks gpt-image-2 or Nano Banana at Phase 1. Triggers on "clone this ad as a template", "reverse engineer this ad", "turn this ad into a prompt", "extract a template", "make this ad reusable", "add to my prompt library", "study this ad and make a template". Input is an EXISTING ad image; does NOT trigger for fresh generation (use chatgpt-image-ad or nano-banana-image-ad).

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