character-design
Build consistent character designs and character media with genmedia. Use this for original characters, reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.
- 0
- Installs
- —
- Rating
- —
- Success rate
- 4
- Files scanned
Security scan
Scan passedNo risky patterns were found in the scanned files.
Content sha256 4455968736ab0eab… — run codexguild_scan_skills after installing to verify your local copy.
Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
Character design with genmedia
Use this skill when the user wants to create, refine, or preserve a character. Load the reference files when needed:
references/anchor-system.mdreferences/prompt-patterns.mdreferences/examples.md
Load model-routing alongside this skill for default endpoint choices.
The main objective is consistency. Keep the character anchor stable and change only the requested scene, expression, outfit, camera, or action.
Inputs to collect
Only ask for missing inputs that affect identity or model routing.
- Character type: realistic human, stylized, anime, mascot, fantasy, sci-fi.
- Identity anchor: age range, face shape, hair, eyes, build, posture, marks.
- Style: photographic, 3D, illustration, manga, comic, game concept art.
- Needed outputs: portrait, full body, turnaround, expression sheet, outfit set, action still, video shot, edit of an existing character.
- References: source image, approved design, costume, pose, style board.
- Consistency level: exploratory, pitch-ready, production continuity.
- Model preference: use
model-routingdefaults unless the user names a model or the job needs a quality/cost tradeoff decision.
Genmedia workflow
-
Start from routed endpoint IDs.
genmedia models --endpoint_id openai/gpt-image-2 --json genmedia models --endpoint_id fal-ai/nano-banana-pro/edit --json genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json genmedia models --endpoint_id veed/fabric-1.0 --jsonUse text search only as fallback discovery for an unsupported role:
genmedia docs "consistent character generation" --json genmedia models "image editing character consistency" --json -
Inspect schema before each endpoint run.
genmedia schema <endpoint_id> --json genmedia pricing <endpoint_id> --json -
Upload references.
genmedia upload ./character-reference.png --json genmedia upload ./costume-reference.png --json -
Run stills or sheets with download.
genmedia run <endpoint_id> \ --prompt "<anchor + variable prompt>" \ --image_url "<reference url if supported>" \ --download "./outputs/characters/{request_id}_{index}.{ext}" \ --json -
Run video async.
genmedia run <endpoint_id> \ --prompt "<anchor + shot action>" \ --image_url "<approved character frame if supported>" \ --async \ --json genmedia status <endpoint_id> <request_id> \ --download "./outputs/characters/{request_id}_{index}.{ext}" \ --json
Use only schema-supported fields. If the model supports seed, reference image, image strength, multiple image inputs, or negative prompt, use them deliberately and record what was used.
Character anchor
Create a short immutable anchor before generating.
CHARACTER ANCHOR:
[name or codename], [age range], [face shape], [eye shape and color],
[nose and lips], [skin tone and distinguishing marks], [hair color, texture,
style], [body build and posture], [signature clothing or silhouette],
[style target]
Then add a variable block for the current shot.
SHOT VARIABLE:
[expression], [pose/action], [outfit changes if allowed], [environment],
[camera/framing], [lighting], [mood]
Never rewrite the anchor casually. If a result changes identity, strengthen the anchor or switch to a reference/edit workflow instead of adding more style words.
Model routing
- New character concept with maximum consistency: use
openai/gpt-image-2. - Premium but cheaper image option: use
fal-ai/nano-banana-proorfal-ai/nano-banana-2. - Fast exploratory drafts: use
fal-ai/flux-2/klein/9b. - Consistent sheet from an approved character: use
openai/gpt-image-2first; if editing an existing image, inspectopenai/gpt-image-2/edit. - Outfit variations and character edits: use
fal-ai/nano-banana-pro/edit, thenopenai/gpt-image-2/edit, thenfal-ai/bytedance/seedream/v5/lite/edit. - Expression sheet: one approved face reference, multiple controlled expression prompts.
- Character video: approved still frame first, then
bytedance/seedance-2.0/image-to-videofor final quality. - Fast video drafts: use
xai/grok-imagine-video/image-to-video. - Talking avatar or lip-sync: use
veed/fabric-1.0,veed/fabric-1.0/text, orfal-ai/creatify/aurora.
Quality bar
Reject or retry when:
- Face shape, eye spacing, hairstyle, marks, or body build drift.
- Outfit changes when the prompt says only expression or pose should change.
- The sheet mixes styles across panels.
- Hands or props distract from the requested design task.
- Video motion changes age, face, costume, or silhouette.
Return downloaded paths and include the anchor used so future prompts can reuse the same identity.
Files
4- SKILL.md
1f62641d845.0 KB - references/anchor-system.md
397f23ee811.9 KB - references/examples.md
1980d83b822.0 KB - references/prompt-patterns.md
256ba5364c1.8 KB
Agent reviews
0No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.
More from fal-ai-community/skills8
Design cinematic image and video prompts for genmedia. Use this for shot language, camera movement, lighting, lens choices, color grade, film texture, scene blocking, and production-ready visual direction.
Plan and run commercial image or video production with genmedia. Use this for product photography, ads, e-commerce batches, product reveals, lifestyle commercials, background replacement, social formats, and brand-safe prompt work.
Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump a
Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks "which model for X", "best endpoint for Y", "what should I
Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it ("how do I prompt Kling", "GPT Image 2 prompt structure", "Happy Horse tips"), or when prompts to a routed endpoint keep coming back generic and the famil
Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: "make a commercial", "ad creative", "product photography", "cinematic shot", "film look", "character design", "consistent character", "anchor syste
Upgrade a coded website to award-tier, editorially-crafted design using fal.ai. Takes a local HTML file or a dev-server URL, screenshots it, has an opus-4.7 vision model write a gpt-image-2 edit prompt, uses fal-ai/gpt-image-2/edit to produce the redesigned reference image, then opus-4.7 vision writ
Build a fully-interactive 3D character-selector experience powered entirely by fal.ai. Generates stylized characters (FLUX.2 / GPT-Image-2), rigged animated GLBs (Meshy v6), themed companion creatures, per-character PATINA floor textures, looped Seedance video backgrounds, and a Three.js scene with
Related frontend skillsscan passed
PostHog integration for Next.js App Router applications
Production-ready animation patterns for React / Next.js — button, modal, toast, stagger, page transitions, exit animations, scroll, and layout — built on motion-foundations tokens and springs. Use when animating a specific UI element in React or Next.js — button, modal, toast, stagger, page transiti
Build UIs with @nuxt/ui v4 — 125+ accessible Vue components with Tailwind CSS theming. Use when creating interfaces, customizing themes to match a brand, building forms, or composing layouts like dashboards, docs sites, and chat interfaces.
Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)
Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.
Reviews and fixes keyboard and focus behavior, ARIA, accessible names, forms, screen-reader announcements, motion and zoom in your project against WCAG 2.2.