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generate-image

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and techni

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Prix non confirmé★ 867 Stars GitHubRegistre mis à jour · 5 sept. 2026agent-skill

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Generate Image

Generate and edit high-quality images using OpenRouter's image generation models including FLUX.2 Pro and Gemini 3.1 Flash Image Preview.

When to Use This Skill

Use generate-image for:

Photos and photorealistic images
Artistic illustrations and artwork
Concept art and visual concepts
Visual assets for presentations or documents
Image editing and modifications
Any general-purpose image generation needs

Use scientific-schematics instead for:

Flowcharts and process diagrams
Circuit diagrams and electrical schematics
Biological pathways and signaling cascades
System architecture diagrams
CONSORT diagrams and methodology flowcharts
Any technical/schematic diagrams

Quick Start

Use the scripts/generate_image.py script to generate or edit images:

# Generate a new image
python scripts/generate_image.py "A beautiful sunset over mountains"

# Edit an existing image
python scripts/generate_image.py "Make the sky purple" --input photo.jpg

This generates/edits an image and saves it as generated_image.png in the current directory.

API Key Setup

CRITICAL: The script requires an OpenRouter API key. Before running, check if the user has configured their API key:

Look for a .env file in the project directory or parent directories
Check for OPENROUTER_API_KEY=<key> in the .env file
If not found, inform the user they need to:
- Create a .env file with OPENROUTER_API_KEY=your-api-key-here
- Or set the environment variable: export OPENROUTER_API_KEY=your-api-key-here
- Get an API key from: https://openrouter.ai/keys

The script will automatically detect the .env file and provide clear error messages if the API key is missing.

Model Selection

Default model: google/gemini-3.1-flash-image-preview (high quality, recommended)

Available models for generation and editing:

google/gemini-3.1-flash-image-preview - High quality, supports generation + editing
black-forest-labs/flux.2-pro - Fast, high quality, supports generation + editing

Generation only:

black-forest-labs/flux.2-flex - Fast and cheap, but not as high quality as pro

Select based on:

Quality: Use gemini-3.1-flash-image-preview or flux.2-pro
Editing: Use gemini-3.1-flash-image-preview or flux.2-pro (both support image editing)
Cost: Use flux.2-flex for generation only

Common Usage Patterns

Basic generation

python scripts/generate_image.py "Your prompt here"

Specify model

python scripts/generate_image.py "A cat in space" --model "black-forest-labs/flux.2-pro"

Custom output path

python scripts/generate_image.py "Abstract art" --output artwork.png

Edit an existing image

python scripts/generate_image.py "Make the background blue" --input photo.jpg

Edit with a specific model

python scripts/generate_image.py "Add sunglasses to the person" --input portrait.png --model "black-forest-labs/flux.2-pro"

Edit with custom output

python scripts/generate_image.py "Remove the text from the image" --input screenshot.png --output cleaned.png

Multiple images

Run the script multiple times with different prompts or output paths:

python scripts/generate_image.py "Image 1 description" --output image1.png
python scripts/generate_image.py "Image 2 description" --output image2.png

Script Parameters

prompt (required): Text description of the image to generate, or editing instructions
--input or -i: Input image path for editing (enables edit mode)
--model or -m: OpenRouter model ID (default: google/gemini-3.1-flash-image-preview)
--output or -o: Output file path (default: generated_image.png)
--api-key: OpenRouter API key (overrides .env file)

Example Use Cases

For Scientific Documents

# Generate a conceptual illustration for a paper
python scripts/generate_image.py "Microscopic view of cancer cells being attacked by immunotherapy agents, scientific illustration style" --output figures/immunotherapy_concept.png

# Create a visual for a presentation
python scripts/generate_image.py "DNA double helix structure with highlighted mutation site, modern scientific visualization" --output slides/dna_mutation.png

For Presentations and Posters

# Title slide background
python scripts/generate_image.py "Abstract blue and white background with subtle molecular patterns, professional presentation style" --output slides/background.png

# Poster hero image
python scripts/generate_image.py "Laboratory setting with modern equipment, photorealistic, well-lit" --output poster/hero.png

For General Visual Content

# Website or documentation images
python scripts/generate_image.py "Professional team collaboration around a digital whiteboard, modern office" --output docs/team_collaboration.png

# Marketing materials
python scripts/generate_image.py "Futuristic AI brain concept with glowing neural networks" --output marketing/ai_concept.png

Error Handling

The script provides clear error messages for:

Missing API key (with setup instructions)
API errors (with status codes)
Unexpected response formats
Missing dependencies (requests library)

If the script fails, read the error message and address the issue before retrying.

Notes

Images are returned as base64-encoded data URLs and automatically saved as PNG files
The script supports both images and content response formats from different OpenRouter models
Generation time varies by model (typically 5-30 seconds)
For image editing, the input image is encoded as base64 and sent to the model
Supported input image formats: PNG, JPEG, GIF, WebP
Check OpenRouter pricing for cost information: https://openrouter.ai/models

Image Editing Tips

Be specific about what changes you want (e.g., "change the sky to sunset colors" vs "edit the sky")
Reference specific elements in the image when possible
For best results, use clear and detailed editing instructions
Both Gemini 3.1 Flash Image Preview and FLUX.2 Pro support image editing through OpenRouter

Integration with Other Skills

scientific-schematics: Use for technical diagrams, flowcharts, circuits, pathways
generate-image: Use for photos, illustrations, artwork, visual concepts
scientific-slides: Combine with generate-image for visually rich presentations
latex-posters: Use generate-image for poster visuals and hero images

Voir la source ↗

Métadonnées du fichier

name: generate-image
description: Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
license: MIT license
compatibility: Requires an OpenRouter API key
metadata:
    skill-author: K-Dense Inc.

Voir le texte original

---
name: generate-image
description: Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
license: MIT license
compatibility: Requires an OpenRouter API key
metadata:
    skill-author: K-Dense Inc.
---

# Generate Image

Generate and edit high-quality images using OpenRouter's image generation models including FLUX.2 Pro and Gemini 3.1 Flash Image Preview.

## When to Use This Skill

**Use generate-image for:**
- Photos and photorealistic images
- Artistic illustrations and artwork
- Concept art and visual concepts
- Visual assets for presentations or documents
- Image editing and modifications
- Any general-purpose image generation needs

**Use scientific-schematics instead for:**
- Flowcharts and process diagrams
- Circuit diagrams and electrical schematics
- Biological pathways and signaling cascades
- System architecture diagrams
- CONSORT diagrams and methodology flowcharts
- Any technical/schematic diagrams

## Quick Start

Use the `scripts/generate_image.py` script to generate or edit images:

```bash
# Generate a new image
python scripts/generate_image.py "A beautiful sunset over mountains"

# Edit an existing image
python scripts/generate_image.py "Make the sky purple" --input photo.jpg
```

This generates/edits an image and saves it as `generated_image.png` in the current directory.

## API Key Setup

**CRITICAL**: The script requires an OpenRouter API key. Before running, check if the user has configured their API key:

1. Look for a `.env` file in the project directory or parent directories
2. Check for `OPENROUTER_API_KEY=<key>` in the `.env` file
3. If not found, inform the user they need to:
   - Create a `.env` file with `OPENROUTER_API_KEY=your-api-key-here`
   - Or set the environment variable: `export OPENROUTER_API_KEY=your-api-key-here`
   - Get an API key from: https://openrouter.ai/keys

The script will automatically detect the `.env` file and provide clear error messages if the API key is missing.

## Model Selection

**Default model**: `google/gemini-3.1-flash-image-preview` (high quality, recommended)

**Available models for generation and editing**:
- `google/gemini-3.1-flash-image-preview` - High quality, supports generation + editing
- `black-forest-labs/flux.2-pro` - Fast, high quality, supports generation + editing

**Generation only**:
- `black-forest-labs/flux.2-flex` - Fast and cheap, but not as high quality as pro

Select based on:
- **Quality**: Use gemini-3.1-flash-image-preview or flux.2-pro
- **Editing**: Use gemini-3.1-flash-image-preview or flux.2-pro (both support image editing)
- **Cost**: Use flux.2-flex for generation only

## Common Usage Patterns

### Basic generation
```bash
python scripts/generate_image.py "Your prompt here"
```

### Specify model
```bash
python scripts/generate_image.py "A cat in space" --model "black-forest-labs/flux.2-pro"
```

### Custom output path
```bash
python scripts/generate_image.py "Abstract art" --output artwork.png
```

### Edit an existing image
```bash
python scripts/generate_image.py "Make the background blue" --input photo.jpg
```

### Edit with a specific model
```bash
python scripts/generate_image.py "Add sunglasses to the person" --input portrait.png --model "black-forest-labs/flux.2-pro"
```

### Edit with custom output
```bash
python scripts/generate_image.py "Remove the text from the image" --input screenshot.png --output cleaned.png
```

### Multiple images
Run the script multiple times with different prompts or output paths:
```bash
python scripts/generate_image.py "Image 1 description" --output image1.png
python scripts/generate_image.py "Image 2 description" --output image2.png
```

## Script Parameters

- `prompt` (required): Text description of the image to generate, or editing instructions
- `--input` or `-i`: Input image path for editing (enables edit mode)
- `--model` or `-m`: OpenRouter model ID (default: google/gemini-3.1-flash-image-preview)
- `--output` or `-o`: Output file path (default: generated_image.png)
- `--api-key`: OpenRouter API key (overrides .env file)

## Example Use Cases

### For Scientific Documents
```bash
# Generate a conceptual illustration for a paper
python scripts/generate_image.py "Microscopic view of cancer cells being attacked by immunotherapy agents, scientific illustration style" --output figures/immunotherapy_concept.png

# Create a visual for a presentation
python scripts/generate_image.py "DNA double helix structure with highlighted mutation site, modern scientific visualization" --output slides/dna_mutation.png
```

### For Presentations and Posters
```bash
# Title slide background
python scripts/generate_image.py "Abstract blue and white background with subtle molecular patterns, professional presentation style" --output slides/background.png

# Poster hero image
python scripts/generate_image.py "Laboratory setting with modern equipment, photorealistic, well-lit" --output poster/hero.png
```

### For General Visual Content
```bash
# Website or documentation images
python scripts/generate_image.py "Professional team collaboration around a digital whiteboard, modern office" --output docs/team_collaboration.png

# Marketing materials
python scripts/generate_image.py "Futuristic AI brain concept with glowing neural networks" --output marketing/ai_concept.png
```

## Error Handling

The script provides clear error messages for:
- Missing API key (with setup instructions)
- API errors (with status codes)
- Unexpected response formats
- Missing dependencies (requests library)

If the script fails, read the error message and address the issue before retrying.

## Notes

- Images are returned as base64-encoded data URLs and automatically saved as PNG files
- The script supports both `images` and `content` response formats from different OpenRouter models
- Generation time varies by model (typically 5-30 seconds)
- For image editing, the input image is encoded as base64 and sent to the model
- Supported input image formats: PNG, JPEG, GIF, WebP
- Check OpenRouter pricing for cost information: https://openrouter.ai/models

## Image Editing Tips

- Be specific about what changes you want (e.g., "change the sky to sunset colors" vs "edit the sky")
- Reference specific elements in the image when possible
- For best results, use clear and detailed editing instructions
- Both Gemini 3.1 Flash Image Preview and FLUX.2 Pro support image editing through OpenRouter

## Integration with Other Skills

- **scientific-schematics**: Use for technical diagrams, flowcharts, circuits, pathways
- **generate-image**: Use for photos, illustrations, artwork, visual concepts
- **scientific-slides**: Combine with generate-image for visually rich presentations
- **latex-posters**: Use generate-image for poster visuals and hero images

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT license
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT license

Dependency or permission surface needs review
Permission surface may require sandboxing
The description mentions 'Nano Banana 2' but the models listed are 'Gemini 3.1 Flash Image Preview' and 'FLUX.2 Pro' – potential naming inconsistency that could confuse users.
The script excerpt is incomplete; full error handling and network robustness are not visible, but no critical security concerns are evident.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: LeonChaoX/qinyan-academic-skills
Licence: MIT license
Version: 1.0.0
Dernier push GitHub: 20 juil. 2026
Registre mis à jour: 5 sept. 2026
Chemin des instructions: skills/03-学术演示与可视化/generate-image/SKILL.md @ df5a498a81e0

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

70/100

Solide

Confiance

59/100

Do not auto-install

Audit

74/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
The description mentions 'Nano Banana 2' but the models listed are 'Gemini 3.1 Flash Image Preview' and 'FLUX.2 Pro' – potential naming inconsistency that could confuse users.
The script excerpt is incomplete; full error handling and network robustness are not visible, but no critical security concerns are evident.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "The description mentions 'Nano Banana 2' but the models listed are 'Gemini 3.1 Flash Image Preview' and 'FLUX.2 Pro' – potential naming inconsistency that could confuse users.",
      "The script excerpt is incomplete; full error handling and network robustness are not visible, but no critical security concerns are evident.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 70,
    "label": "Strong"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "3mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "nanmicoder-img-gen-taste",
      "name": "img-gen-taste",
      "url": "https://www.openagentskill.com/skills/nanmicoder-img-gen-taste",
      "stars": 278,
      "install_command": "npx skills add NanmiCoder/open-image-prompts --skill img-gen-taste",
      "trust_score": 80,
      "audit_score": 81
    },
    {
      "slug": "alfredxw-chapter-illustration",
      "name": "chapter-illustration",
      "url": "https://www.openagentskill.com/skills/alfredxw-chapter-illustration",
      "stars": 903,
      "install_command": "npx skills add alfredxw/denova --skill chapter-illustration",
      "trust_score": 81,
      "audit_score": 82
    },
    {
      "slug": "alfredxw-interactive-image",
      "name": "interactive-image",
      "url": "https://www.openagentskill.com/skills/alfredxw-interactive-image",
      "stars": 903,
      "install_command": "npx skills add alfredxw/denova --skill interactive-image",
      "trust_score": 80,
      "audit_score": 82
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The description mentions 'Nano Banana 2' but the models listed are 'Gemini 3.1 Flash Image Preview' and 'FLUX.2 Pro' – potential naming inconsistency that could confuse users.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The script excerpt is incomplete; full error handling and network robustness are not visible, but no critical security concerns are evident.",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use generate-image in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 67/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 34/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "leonchaox-generate-image (generate-image)",
      "install_command": "npx skills add LeonChaoX/qinyan-academic-skills --skill generate-image",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "leonchaox-generate-image",
      "task": "Use generate-image in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/leonchaox-generate-image",
    "api": "https://www.openagentskill.com/api/agent/skills/leonchaox-generate-image",
    "audit": "https://www.openagentskill.com/skills/leonchaox-generate-image/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=leonchaox-generate-image&task=Use%20generate-image%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20generate-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20generate-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/leonchaox-generate-image/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/leonchaox-generate-image"
  }
}

Pour le créateur

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: LeonChaoX
Source: LeonChaoX/qinyan-academic-skills
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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