'composition' 검색 결과

Expert in ALL computational collage composition: photo mosaics, grid layouts, scrapbook/journal styles, magazine editorial, vision boards, mood boards, social media collages, memory walls, abstract/generative arrangements, and art-historical techniques (Hockney joiners, Dadaist photomontage, Surrealist assemblage, Rauschenberg combines). Masters edge-based assembly, Poisson blending, optimal transport color harmonization, and aesthetic optimization. Activate on 'collage', 'photo mosaic', 'grid layout', 'scrapbook', 'vision board', 'mood board', 'photo wall', 'magazine layout', 'Hockney', 'joiner', 'photomontage'. NOT for simple image editing (use native-app-designer), generating new images (use Stability AI), single photo enhancement (use photo-composition-critic), or basic image similarity search (use clip-aware-embeddings).

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Create Python workflows for generating images from text, restyling existing pictures, and filling selected regions. Using HuggingFace Diffusers, the skill explains composition controls, style adapters, generation settings, and ways to reduce memory use.

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• Generate images from written descriptions
• Restyle an existing picture as a watercolor
• Fill a masked area of a photo

Inspect a codebase with pygount to measure code lines, file counts, language composition, and comment ratios. Exclude dependency folders, focus on selected languages, and get summaries or file-level results for understanding project size.

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• Measuring a project's code size
• Checking language composition and file counts
• Comparing code and comment ratios

Create a 16:9 animated hero composition with rotating rings, a globe or other focal graphic, and expressive typography. Deliver a single HTML document with CSS animations that a frame-capture exporter such as HyperFrames can turn into video.

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• Create an animated hero for a marketing page
• Design a title card with moving typography
• Build a looping poster with rotating rings and a globe

Create HTML-based videos with animated titles, synchronized captions, text-to-speech narration, scene transitions, and visuals that react to music. Define timing and layout, then check for overflowing content, readable contrast, and animation choreography.

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• Creating short product reveal videos
• Adding captions synchronized with audio
• Combining narration with animated text

Create generative art, or images made with programmed rules, using p5.js. Fixed random seeds make each rendering reproducible, supporting procedural posters, still images that suggest motion, and studies of artistic frame composition.

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• Posters generated with programmed rules
• Still images that suggest motion
• Studies of artistic frame composition

Create a three-scene video composition in a retro pixel style using a Hyperframes HTML template. Customize titles, labels, and colors while preserving scene transitions, short scene durations, and repeatable animation timing.

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• Create a retro pixel presentation video
• Customize a three-scene video template
• Preview scene transitions and motion in HTML

Create character, scene, and product images from structured descriptions of style, composition, lighting, and color. Guide generation with reference images and aspect ratio settings, using a Python script connected to a supported image generation service.

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• Creating characters with specified clothing, era, and appearance
• Visualizing scenes with a chosen mood, weather, and lighting
• Producing product images with specified materials and viewing angles

Design and test rules for activating skills through human requests, AI selection, applications, or other skills. Check eligibility before matching descriptions, then return a JSON decision showing the selected channel, score, and policy reason.

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• Separate explicit requests from automatic skill selection
• Test allowed callers and skill composition limits
• Check cases where no skill should activate

Routes video requests to the appropriate HyperFrames workflow based on the source material and intended result. It guides agents toward specialized steps for product promos, explainers, captions, motion graphics, music videos, and HTML-based video compositions.

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• Choose a workflow for a product launch video
• Turn an article or notes into an explainer video
• Add captions or graphic overlays to a talking-head video

Plan the visual and narrative direction of HyperFrames videos, including colors, fonts, composition, narration, and scene rhythm. The skill helps apply existing design specifications, choose a style, and check whether the finished work follows that direction.

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• Match a video's appearance to existing design specifications
• Choose colors and fonts to suit a mood
• Plan scene rhythm and narration pacing

Prepare voiceovers, background music, sound effects, transcripts, captions, and background cutouts for HyperFrames compositions. The skill guides audio provider selection, word timing, and caption styling, with local alternatives for several audio tasks.

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• Creating voiceovers for HyperFrames videos
• Preparing background music and sound effects
• Adding word-timed subtitles and karaoke captions

Add zooms, pans, masks, moving text, and depth to HyperFrames compositions. Build animation states that remain correct when jumping to any point in time, then inspect motion and final frames with diagnostics and snapshots.

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• Adding zooms and pans to a shot
• Revealing images with animated masks
• Animating text and SVG shapes

Guide the visual and storytelling choices for HyperFrames videos, including colors, fonts, composition, narration, and pacing. Use existing brand specifications or choose a visual style to give scenes a consistent look and rhythm.

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• Matching a video to existing brand guidelines
• Choosing colors and fonts for a video
• Planning the pacing of a multi-scene video

Guide HyperFrames video projects from setup and component selection through checks, previews, and rendering. Use command-line tools to inspect timelines, diagnose failures, compare frames, and choose local, batch, or cloud rendering for the finished composition.

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• Set up and preview a HyperFrames video project
• Diagnose build or rendering failures
• Render multiple videos from variable data

Mix audio already placed in HyperFrames compositions. Adjust fades, volume changes, and effects; reduce music frequencies that compete with speech; and apply shared processing to multiple tracks through a group with common volume controls.

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• Make narration easier to hear over background music
• Add fades and crossfades to placed audio
• Balance uneven voice levels and adjust tone

Bring Figma logos, brand colors, and components into HyperFrames as local assets and editable HTML. Reconstruct animation from storyboard states, with additional motion import options when a compatible connector or native export is available.

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• Import a Figma logo as a video asset
• Apply brand colors across imported components
• Turn a Figma frame into editable HTML

Prepare Remotion Studio and Canvas Capture for a product demo recorded by the user. Import the original capture into packages/brand as an editable composition, preserve cursor metadata, and upload the verified recording to remotion.media.

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• Prepare a Studio interaction demo for recording
• Frame a timeline demonstration
• Import a capture with editable cursor data

Design and refactor Python components with clear responsibilities and simple structure. Assess when to split large classes, combine objects instead of extending them, and extract shared code without introducing unnecessary abstractions.

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• Defining responsibilities for a new Python component
• Splitting oversized classes and functions
• Deciding when to extract shared code

Review a bond portfolio by combining prices, yields, sensitivity to interest rates, holdings breakdowns, and projected payments. Produce portfolio summaries and scenario tables that show how rate changes could affect gains and losses.

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• Reviewing a bond portfolio's composition
• Assessing sensitivity to interest rate changes
• Checking quarterly coupon and principal payments

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

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• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image

Refactor React components into reusable pieces with clearer interfaces. Provides patterns for replacing excessive boolean settings, sharing state through providers, and designing component libraries, with additional guidance for React 19 APIs.

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• Refactor components with too many boolean settings
• Design a reusable component library
• Review shared state and provider structure

Create article cover images based on the topic and tone of the text. Choose the composition, colors, rendering style, text amount, and mood, with reference images and aspect ratios to guide the result.

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• Creating a cover image for a blog article
• Making a cover with a title and subtitle
• Matching a cover to reference colors or composition

Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from text descriptions
• Changing the style of an existing image
• Replacing a selected region of an image