Create consistent characters across multiple AI-generated images via inference.sh CLI.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncharacter-design-sheetExecute the skills CLI command in your project's root directory to begin installation:
Fetches character-design-sheet from inference-sh/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate character-design-sheet. Access via /character-design-sheet in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Create consistent characters across multiple AI-generated images via inference.sh CLI.
Requires inference.sh CLI (
infsh). Install instructions
infsh login
# Generate a character concept
infsh app run falai/flux-dev-lora --input '{
"prompt": "character design reference sheet, front view of a young woman with short red hair, green eyes, wearing a blue jacket and white t-shirt, full body, white background, clean lines, concept art style, character turnaround",
"width": 1024,
"height": 1024
}'
AI image generation produces different-looking characters every time, even with the same prompt. This is the #1 challenge in AI art for any project requiring the same character across multiple images.
| Technique | Consistency | Effort | Best For |
|---|---|---|---|
| FLUX LoRA (trained on character) | Very high | High (requires training data) | Ongoing projects, many images |
| Detailed description anchor | Medium-high | Low | Quick projects, few images |
| Same seed + similar prompt | Medium | Low | Variations of single pose |
| Image-to-image refinement | Medium | Medium | Refining existing images |
| Reference image in prompt | Varies | Low | When model supports it |
Shows the character from multiple angles:
┌────────┬────────┬────────┬────────┐
│ │ │ │ │
│ FRONT │ 3/4 │ SIDE │ BACK │
│ VIEW │ VIEW │ VIEW │ VIEW │
│ │ │ │ │
└────────┴────────┴────────┴────────┘
# Generate front view
infsh app run falai/flux-dev-lora --input '{
"prompt": "character design, front view, young woman with short asymmetric red hair, bright green eyes, wearing navy blue bomber jacket over white graphic tee, dark jeans, red sneakers, standing in neutral pose, full body, clean white background, concept art, sharp details",
"width": 768,
"height": 1024
}' --no-wait
# Generate 3/4 view (same description)
infsh app run falai/flux-dev-lora --input '{
"prompt": "character design, three-quarter view, young woman with short asymmetric red hair, bright green eyes, wearing navy blue bomber jacket over white graphic tee, dark jeans, red sneakers, standing, full body, clean white background, concept art, sharp details",
"width": 768,
"height": 1024
}' --no-wait
# Generate side view
infsh app run falai/flux-dev-lora --input '{
"prompt": "character design, side profile view, young woman with short asymmetric red hair, bright green eyes, wearing navy blue bomber jacket over white graphic tee, dark jeans, red sneakers, standing, full body, clean white background, concept art, sharp details",
"width": 768,
"height": 1024
}' --no-wait
# Generate back view
infsh app run falai/flux-dev-lora --input '{
"prompt": "character design, back view, young woman with short asymmetric red hair, wearing navy blue bomber jacket over white graphic tee, dark jeans, red sneakers, standing, full body, clean white background, concept art, sharp details",
"width": 768,
"height": 1024
}' --no-wait
# Stitch into reference sheet
infsh app run infsh/stitch-images --input '{
"images": ["front.png", "three-quarter.png", "side.png", "back.png"],
"direction": "horizontal"
}'
Shows the character's face with different emotions:
┌────────┬────────┬────────┐
│NEUTRAL │ HAPPY │ ANGRY │
│ │ │ │
├────────┼────────┼────────┤
│ SAD │SURPRISE│THINKING│
│ │ │ │
└────────┴────────┴────────┘
Minimum 6 expressions: neutral, happy, angry, sad, surprised, thinking.
# Neutral
infsh app run falai/flux-dev-lora --input '{
"prompt": "character portrait, close-up face, young woman with short red hair and green eyes, neutral calm expression, clean white background, concept art, consistent character design",
"width": 512,
"height": 512
}' --no-wait
# Happy
infsh app run falai/flux-dev-lora --input '{
"prompt": "character portrait, close-up face, young woman with short red hair and green eyes, warm genuine smile, happy expression, clean white background, concept art, consistent character design",
"width": 512,
"height": 512
}' --no-wait
# Angry
infsh app run falai/flux-dev-lora --input '{
"prompt": "character portrait, close-up face, young woman with short red hair and green eyes, furrowed brows, angry determined expression, clean white background, concept art, consistent character design",
"width": 512,
"height": 512
}' --no-wait
# (Continue for sad, surprised, thinking...)
Multiple outfits for the same character:
| Outfit | Description |
|---|---|
| Casual | Bomber jacket, t-shirt, jeans |
| Work | Blazer, button-down, slacks |
| Athletic | Sports bra, leggings, running shoes |
| Formal | Evening dress, heels |
Document exact colors for consistency:
CHARACTER: Maya Chen
Skin: ████ #F5D0A9 (warm beige)
Hair: ████ #C0392B (auburn red)
Eyes: ████ #27AE60 (emerald green)
Jacket: ████ #2C3E50 (navy blue)
T-shirt: ████ #ECF0F1 (off-white)
Jeans: ████ #34495E (dark slate)
Shoes: ████ #E74C3C (bright red)
The most practical consistency technique: write a 50+ word detailed description and reuse it exactly in every prompt.
[age] [gender] with [hair: color, length, style], [eye color] eyes,
[skin tone], [facial features: any distinctive marks],
wearing [top: specific color and style], [bottom: specific color and style],
[shoes: specific color and style], [accessories: specific items]
young woman in her mid-twenties with short asymmetric auburn red hair
swept to the right side, bright emerald green eyes, light warm skin
with a small beauty mark below her left eye, wearing a fitted navy
blue bomber jacket with silver zipper over a white crew-neck t-shirt,
dark slate slim jeans, and bright red canvas sneakers, small silver
stud earrings
Use this exact block in EVERY prompt for this character, only changing the action/pose/scene.
| Style | Head-to-Body Ratio | Best For |
|---|---|---|
| Realistic | 7.5 : 1 | Film, photorealistic |
| Heroic | 8 : 1 | Superheroes, action |
| Anime/Manga | 5-6 : 1 | Japanese animation style |
| Stylized | 4-5 : 1 | Western animation |
| Chibi/Super-deformed | 2-3 : 1 | Cute, comedic, mascots |
Include proportion style in your prompts: "realistic proportions" vs "anime style proportions" vs "chibi proportions"
For projects requiring many images of the same character, train a LoRA:
# Use FLUX with a character LoRA
infsh app run falai/flux-dev-lora --input '{
"prompt": "maya_chen character, sitting at a cafe reading a book, warm afternoon light, candid photography style",
"loras": [{"path": "path/to/maya-chen-lora.safetensors", "scale": 0.8}]
}'
LoRA Training Tips:
| Issue | Why It Happens | Mitigation |
|---|---|---|
| Hair color drift | Model interprets "red hair" differently each time | Use specific shade: "auburn red #C0392B" |
| Eye color change | Low priority in generation | Mention eye color early in prompt |
| Outfit inconsistency | Model fills in details creatively | Describe every clothing item explicitly |
| Age shift | Vague age description | Use "mid-twenties" not "young" |
| Face structure change | Different generations = different faces | Use LoRA or same seed base |
| Proportion shift | Style interpretation varies | Specify "7.5 head proportions" |
For ongoing projects, maintain a character bible document:
# Character: Maya Chen
## Visual Description (use in all prompts)
young woman in her mid-twenties with short asymmetric auburn red hair...
[full 50+ word anchor description]
## Color Palette
- Skin: #F5D0A9
- Hair: #C0392B
- Eyes: #27AE60
- Primary outfit: Navy #2C3E50
- Accent: Red #E74C3C
## Personality Notes (for expression/pose choices)
- Confident but approachable
- Default expression: slight curious smile
- Gestures: talks with hands, leans forward when interested
## Style Keywords
concept art, clean lines, sharp details, [art style reference]
## LoRA (if trained)
Path: ./loras/maya-chen-v2.safetensors
Trigger: maya_chen
Recommended scale: 0.8
| Mistake | Problem | Fix |
|---|---|---|
| Vague descriptions | Different character every time | 50+ word detailed anchor |
| Inconsistent prompt structure | Varying emphasis = varying results | Same structure, only change action/scene |
| Generating one view only | Can't use character in different contexts | Create full turnaround reference |
| No color documentation | Colors drift across generations | Record exact hex codes |
| Skipping expression sheet | Character feels one-dimensional | Generate 6+ expressions |
| Not using LoRA for big projects | Inconsistency compounds | Train LoRA for 10+ image projects |
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@flux-image
npx skills add inference-sh/skills@prompt-engineering
Browse all apps: infsh app list
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for character-design-sheet matched our evaluation — installs cleanly and behaves as described in the markdown.
character-design-sheet is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
character-design-sheet fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: character-design-sheet is focused, and the summary matches what you get after install.
character-design-sheet has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for character-design-sheet matched our evaluation — installs cleanly and behaves as described in the markdown.
character-design-sheet reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend character-design-sheet for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: character-design-sheet is the kind of skill you can hand to a new teammate without a long onboarding doc.
character-design-sheet fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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