> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comput3.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Image Generation

> Create stunning AI-generated images using Stable Diffusion and other advanced models

Generate high-quality images using ComfyUI workflows on Comput3 Network's GPU infrastructure. Simply launch a GPU instance and start creating with powerful node-based workflows.

## Available Image Generation Models

Choose from a wide variety of specialized image generation models:

<AccordionGroup>
  <Accordion title="Qwen-Image Text to Image">
    **Generate images with exceptional multilingual text rendering and editing capabilities**

    * **Model**: Qwen-Image's 20B MMDiT model
    * **Specialty**: Multilingual text rendering, advanced editing
    * **Best for**: Text-heavy images, multilingual content, detailed editing
  </Accordion>

  <Accordion title="OmniGen2 Text to Image">
    **Generate high-quality images from text prompts using unified multimodal model**

    * **Model**: OmniGen2's unified 7B multimodal model
    * **Architecture**: Dual-path architecture
    * **Best for**: High-quality text-to-image generation, versatile applications
  </Accordion>

  <Accordion title="OmniGen2 Image Edit">
    **Edit images with natural language instructions**

    * **Model**: OmniGen2's advanced image editing capabilities
    * **Features**: Text rendering support, natural language editing
    * **Best for**: Image modification, style changes, content editing
  </Accordion>

  <Accordion title="Cosmos Predict2 2B T2I">
    **Generate physically accurate, high-fidelity images**

    * **Model**: Cosmos-Predict2 2B T2I
    * **Specialty**: Physically accurate, detail-rich generation
    * **Best for**: Realistic images, scientific visualization, detailed artwork
  </Accordion>

  <Accordion title="Chroma Text to Image">
    **Modified Flux architecture for enhanced image generation**

    * **Model**: Chroma (modified from Flux)
    * **Architecture**: Enhanced Flux-based architecture
    * **Best for**: High-quality generation, architectural improvements
  </Accordion>

  <Accordion title="HiDream Series">
    **Multiple HiDream models for different use cases**

    * **HiDream I1 Dev**: Development and testing
    * **HiDream I1 Rapide**: Fast image generation
    * **HiDream I1 Complet**: Full-featured generation
    * **HiDream E1.1 Image Edit**: Advanced image editing (better quality than E1)
    * **HiDream E1 Image Edit**: Image editing capabilities
  </Accordion>

  <Accordion title="Stable Diffusion 3.5 Series">
    **Latest Stable Diffusion with advanced features**

    * **SD3.5 Simple**: Standard text-to-image generation
    * **SD3.5 Grand Canny ControlNet**: Edge detection guided generation
    * **SD3.5 Grande Profondeur**: Depth-aware image generation
    * **SD3.5 Grand Flou**: Blur-based reference image generation
  </Accordion>

  <Accordion title="Stable Diffusion XL Series">
    **High-quality SDXL models with various capabilities**

    * **SDXL Simple**: High-quality standard generation
    * **SDXL Refiner Prompt**: Enhanced results with refiners
    * **Révisions de Texte SDXL**: Reference image concept transfer
    * **Révision Zéro Positive SDXL**: Text prompts with reference images
    * **SDXL Turbo**: Single-step image generation
  </Accordion>

  <Accordion title="Lotus Depth">
    **Zero-shot monocular depth estimation**

    * **Model**: Lotus Depth in ComfyUI
    * **Specialty**: Efficient depth estimation with high detail retention
    * **Best for**: Depth-aware applications, 3D processing
  </Accordion>
</AccordionGroup>

## Quick Start

<Steps>
  <Step title="Launch GPU Instance">
    Launch a GPU instance with the ComfyUI template from your Comput3 dashboard.

    <CardGroup cols={2}>
      <Card title="ComfyUI Template" icon="template">
        Pre-configured instance with ComfyUI, popular models, and workflows ready to use.
      </Card>

      <Card title="Recommended GPU" icon="microchip">
        RTX 4090 48GB, L40S, or A100 for optimal performance with image generation workflows.
      </Card>
    </CardGroup>
  </Step>

  <Step title="Access ComfyUI">
    Connect to your GPU instance and open the ComfyUI web interface.

    ```bash theme={null}
    # ComfyUI runs on port 8188 by default
    http://<your-instance-ip>:8188
    ```

    <Info>
      The ComfyUI template automatically starts the service and makes it accessible via web browser.
    </Info>
  </Step>

  <Step title="Choose a Workflow">
    Select from pre-installed workflows or create your own:

    <Tabs>
      <Tab title="Text-to-Image">
        **Generate images from text descriptions**

        * Stable Diffusion XL workflows
        * ControlNet integration
        * LoRA model support
        * Batch generation capabilities
      </Tab>

      <Tab title="Image-to-Image">
        **Transform existing images**

        * Style transfer workflows
        * Upscaling and enhancement
        * Inpainting and outpainting
        * Facial restoration
      </Tab>

      <Tab title="Advanced Workflows">
        **Complex multi-step generation**

        * Multi-model pipelines
        * Conditional generation
        * Custom node combinations
        * Automated post-processing
      </Tab>
    </Tabs>
  </Step>

  <Step title="Generate and Download">
    Run your workflow in ComfyUI and download the generated images.

    <Check>
      Images are saved locally on your GPU instance and can be downloaded via the ComfyUI interface or SSH.
    </Check>
  </Step>
</Steps>

## Advanced Prompt Techniques

### Prompt Structure Best Practices

<AccordionGroup>
  <Accordion title="Subject Description">
    **Be specific about the main subject**:

    ❌ **Vague**: "A person"
    ✅ **Specific**: "A middle-aged woman with curly red hair wearing a blue dress"

    ❌ **Generic**: "A building"\
    ✅ **Detailed**: "A modern glass skyscraper with geometric patterns"
  </Accordion>

  <Accordion title="Action and Pose">
    **Describe what the subject is doing**:

    * "running through a field"
    * "sitting peacefully by a window"
    * "dancing in the rain"
    * "looking directly at the camera"
    * "reaching toward the sky"
  </Accordion>

  <Accordion title="Environment and Setting">
    **Set the scene and atmosphere**:

    * "in a mystical forest with glowing mushrooms"
    * "on a busy city street at night"
    * "in a cozy library with warm lighting"
    * "against a dramatic storm sky"
    * "in a minimalist white studio"
  </Accordion>

  <Accordion title="Style and Aesthetic">
    **Specify the artistic style**:

    **Photography Styles**:

    * "professional portrait photography"
    * "street photography, candid moment"
    * "macro photography, extreme close-up"
    * "aerial photography, bird's eye view"

    **Art Styles**:

    * "oil painting in impressionist style"
    * "digital art, concept art style"
    * "watercolor illustration, soft edges"
    * "pencil sketch, detailed line art"
  </Accordion>

  <Accordion title="Technical Parameters">
    **Add technical quality descriptors**:

    * "8k ultra high resolution"
    * "cinematic lighting, dramatic shadows"
    * "shallow depth of field, bokeh background"
    * "HDR, vibrant colors, high contrast"
    * "soft natural lighting, golden hour"
  </Accordion>
</AccordionGroup>

### Prompt Weighting and Control

<Tabs>
  <Tab title="Attention Weighting">
    **Control emphasis with parentheses and weights**:

    ```text theme={null}
    (beautiful sunset:1.3) over (mountain lake:1.1), 
    (dramatic clouds:0.9), peaceful atmosphere
    ```

    **Weight Guidelines**:

    * `(keyword:1.3)` - Increase emphasis by 30%
    * `(keyword:0.8)` - Decrease emphasis by 20%
    * `((keyword))` - Strong emphasis (equivalent to 1.21)
    * `[keyword]` - Slight de-emphasis (equivalent to 0.91)
  </Tab>

  <Tab title="Negative Prompts">
    **Exclude unwanted elements**:

    ```text theme={null}
    Prompt: "Portrait of a woman, professional photography"

    Negative: "blurry, low quality, distorted face, bad anatomy, 
    extra limbs, watermark, signature, text"
    ```

    **Common Negative Prompts**:

    * Quality issues: `blurry, low quality, pixelated, grainy`
    * Anatomy problems: `bad anatomy, extra limbs, deformed hands`
    * Unwanted elements: `watermark, signature, text, logo`
    * Style issues: `cartoon, anime` (if you want photorealistic)
  </Tab>

  <Tab title="Style Mixing">
    **Combine multiple artistic influences**:

    ```text theme={null}
    "Portrait in the style of (Renaissance painting:0.7) mixed with 
    (modern photography:0.5), chiaroscuro lighting, classical composition"
    ```

    **Effective Combinations**:

    * Photography + Painting: `photorealistic portrait, oil painting texture`
    * Multiple artists: `style of Van Gogh and Monet, impressionist fusion`
    * Era mixing: `Art Deco design with modern minimalism`
  </Tab>
</Tabs>

## Model-Specific Guidelines

### Stable Diffusion XL (SDXL)

<CardGroup cols={2}>
  <Card title="Strengths" icon="star">
    * Exceptional detail and resolution
    * Great with complex compositions
    * Excellent text rendering in images
    * Superior photorealism capabilities
  </Card>

  <Card title="Optimal Settings" icon="sliders-h">
    * **Steps**: 25-35 (30 recommended)
    * **Guidance Scale**: 6-9 (7.5 recommended)
    * **Resolution**: 1024x1024 or 1152x896
    * **Sampler**: DPM++ 2M Karras
  </Card>
</CardGroup>

**Best Prompting Practices**:

```text theme={null}
# Good SDXL prompt structure
"[Detailed subject description], [specific artistic style], 
[lighting conditions], [composition notes], [quality modifiers]"

# Example
"Close-up portrait of an elderly craftsman with weathered hands, 
Renaissance painting style, dramatic chiaroscuro lighting, 
three-quarter view composition, oil painting texture, masterpiece quality"
```

### Stable Diffusion 2.1

<CardGroup cols={2}>
  <Card title="Strengths" icon="star">
    * Fast generation times
    * Good for iteration and experimentation
    * Reliable results with simple prompts
    * Cost-effective for batch generation
  </Card>

  <Card title="Optimal Settings" icon="sliders-h">
    * **Steps**: 20-30 (25 recommended)
    * **Guidance Scale**: 7-12 (9 recommended)
    * **Resolution**: 512x512 or 768x512
    * **Sampler**: Euler a or DPM++ 2M
  </Card>
</CardGroup>

**Best Prompting Practices**:

```text theme={null}
# SD 2.1 responds well to clear, direct prompts
"[Subject], [style], [lighting], [quality]"

# Example  
"Mountain landscape, digital art style, golden hour lighting, highly detailed"
```

### DALL-E Style Model

<CardGroup cols={2}>
  <Card title="Strengths" icon="star">
    * Excellent instruction following
    * Great with complex scene descriptions
    * Superior text integration
    * Photorealistic human faces
  </Card>

  <Card title="Optimal Settings" icon="sliders-h">
    * **Steps**: 30-40 (35 recommended)
    * **Guidance Scale**: 8-12 (10 recommended)
    * **Resolution**: 1024x1024, 1024x1792, 1792x1024
    * **Sampler**: DDIM or DPM++ SDE
  </Card>
</CardGroup>

**Best Prompting Practices**:

```text theme={null}
# DALL-E style model excels with natural language descriptions
"A photograph of [detailed scene description] captured with 
[camera/lens details], [lighting conditions], [mood/atmosphere]"

# Example
"A photograph of a cozy coffee shop interior during a rainy afternoon, 
captured with a 35mm lens, warm ambient lighting filtering through 
large windows, creating a peaceful and inviting atmosphere"
```

## Generation Parameters

### Resolution and Aspect Ratios

<Tabs>
  <Tab title="Square Formats">
    **1:1 Aspect Ratio**

    | Resolution | Use Case                          | Cost |
    | ---------- | --------------------------------- | ---- |
    | 512x512    | Social media avatars, icons       | 1x   |
    | 768x768    | Instagram posts, thumbnails       | 1.5x |
    | 1024x1024  | High-quality social media, prints | 2x   |
    | 1536x1536  | Large prints, detailed artwork    | 3x   |
  </Tab>

  <Tab title="Portrait Formats">
    **Vertical Orientations**

    | Resolution | Aspect Ratio | Use Case                  |
    | ---------- | ------------ | ------------------------- |
    | 512x768    | 2:3          | Portrait photography      |
    | 768x1024   | 3:4          | Instagram stories, mobile |
    | 1024x1536  | 2:3          | Professional portraits    |
    | 1024x1792  | 9:16         | Vertical social media     |
  </Tab>

  <Tab title="Landscape Formats">
    **Horizontal Orientations**

    | Resolution | Aspect Ratio | Use Case                       |
    | ---------- | ------------ | ------------------------------ |
    | 768x512    | 3:2          | Traditional photography        |
    | 1024x768   | 4:3          | Computer wallpapers            |
    | 1344x768   | 16:9         | Widescreen, YouTube thumbnails |
    | 1792x1024  | 16:9         | Banner images, headers         |
  </Tab>
</Tabs>

### Quality vs Speed Settings

<AccordionGroup>
  <Accordion title="Draft Quality (Fast)">
    **For rapid iteration and concept exploration**

    * **Steps**: 15-20
    * **Guidance Scale**: 6-8
    * **Generation Time**: 1-2 seconds
    * **Cost**: Standard pricing

    **Best for**: Brainstorming, quick concepts, batch generation
  </Accordion>

  <Accordion title="Standard Quality (Balanced)">
    **For most production use cases**

    * **Steps**: 25-35
    * **Guidance Scale**: 7-9
    * **Generation Time**: 2-4 seconds
    * **Cost**: Standard pricing

    **Best for**: Social media, web use, general content creation
  </Accordion>

  <Accordion title="High Quality (Detailed)">
    **For professional and print applications**

    * **Steps**: 40-50
    * **Guidance Scale**: 8-12
    * **Generation Time**: 4-8 seconds
    * **Cost**: 1.5x standard pricing

    **Best for**: Print materials, professional work, detailed artwork
  </Accordion>

  <Accordion title="Ultra Quality (Maximum)">
    **For the highest quality results**

    * **Steps**: 60-80
    * **Guidance Scale**: 10-15
    * **Generation Time**: 8-15 seconds
    * **Cost**: 2x standard pricing

    **Best for**: Gallery prints, commercial use, artistic masterpieces
  </Accordion>
</AccordionGroup>

## Batch Generation and Variations

### Generating Multiple Images

<CodeGroup>
  ```python Python SDK theme={null}
  import requests

  def generate_batch_images(prompt, count=4):
      response = requests.post(
          "https://api.comput3.ai/v1/generate/image",
          headers={"Authorization": "Bearer YOUR_API_KEY"},
          json={
              "model": "stable-diffusion-xl",
              "prompt": prompt,
              "width": 1024,
              "height": 1024,
              "num_images": count,
              "steps": 30,
              "guidance_scale": 7.5
          }
      )
      
      result = response.json()
      return [img["url"] for img in result["images"]]

  # Generate 4 variations
  images = generate_batch_images(
      "A futuristic city skyline at night, neon lights, cyberpunk style"
  )
  ```

  ```bash CLI Batch theme={null}
  # Generate multiple variations with different seeds
  c3 generate batch \
    --prompt "Abstract art, colorful geometric shapes" \
    --model sdxl \
    --count 8 \
    --size 1024x1024

  # Generate with systematic variations
  c3 generate variations \
    --base-prompt "Portrait of a person" \
    --variations "young,middle-aged,elderly" \
    --styles "realistic,artistic,stylized"
  ```

  ```javascript Node.js theme={null}
  const generateImageBatch = async (prompt, variations) => {
    const promises = variations.map(variation => 
      fetch('https://api.comput3.ai/v1/generate/image', {
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${process.env.COMPUT3_API_KEY}`,
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({
          model: 'stable-diffusion-xl',
          prompt: `${prompt}, ${variation}`,
          width: 1024,
          height: 1024,
          steps: 30
        })
      }).then(res => res.json())
    );
    
    return Promise.all(promises);
  };

  // Generate style variations
  const results = await generateImageBatch(
    "A mountain landscape",
    ["oil painting style", "photorealistic", "watercolor art", "digital art"]
  );
  ```
</CodeGroup>

### Seed Control and Reproducibility

<Tabs>
  <Tab title="Using Seeds">
    **Control randomness for reproducible results**:

    ```json theme={null}
    {
      "model": "stable-diffusion-xl",
      "prompt": "A red sports car on a mountain road",
      "seed": 123456789,
      "width": 1024,
      "height": 1024,
      "steps": 30,
      "guidance_scale": 7.5
    }
    ```

    **Seed Benefits**:

    * Reproduce exact same image
    * Create systematic variations
    * A/B test different parameters
    * Debug generation issues
  </Tab>

  <Tab title="Seed Variations">
    **Generate similar but different images**:

    ```python theme={null}
    base_seed = 123456789

    for i in range(5):
        response = requests.post(api_url, json={
            "model": "stable-diffusion-xl",
            "prompt": "A forest path in autumn",
            "seed": base_seed + i,  # Slight seed variation
            "width": 1024,
            "height": 1024
        })
    ```
  </Tab>

  <Tab title="Random Seeds">
    **Let the system choose random seeds**:

    ```json theme={null}
    {
      "model": "stable-diffusion-xl", 
      "prompt": "Abstract art composition",
      "seed": null,  // or omit seed parameter
      "num_images": 4
    }
    ```

    The API will return the seeds used for each image for future reference.
  </Tab>
</Tabs>

## Image Enhancement and Post-Processing

### Upscaling and Super-Resolution

<AccordionGroup>
  <Accordion title="Real-ESRGAN Upscaling">
    **Enhance image resolution and quality**

    ```bash curl theme={null}
    curl -X POST "https://api.comput3.ai/v1/enhance/upscale" \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "image_url": "https://your-image-url.com/image.jpg",
        "scale_factor": 4,
        "model": "realesrgan"
      }'
    ```

    **Options**:

    * Scale factors: 2x, 4x, 8x
    * Models: RealESRGAN, ESRGAN, SRCNN
    * Cost: \$0.05 per upscale operation
  </Accordion>

  <Accordion title="Face Enhancement">
    **Improve facial details and quality**

    ```json theme={null}
    {
      "image_url": "https://your-image-url.com/portrait.jpg",
      "enhancement_type": "face",
      "strength": 0.8,
      "preserve_identity": true
    }
    ```

    **Features**:

    * Enhance facial features and skin texture
    * Preserve original identity and characteristics
    * Adjustable enhancement strength
    * Cost: \$0.03 per enhancement
  </Accordion>

  <Accordion title="Background Removal">
    **Remove or replace backgrounds**

    ```python theme={null}
    response = requests.post(
        "https://api.comput3.ai/v1/enhance/background",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        json={
            "image_url": "https://your-image.jpg",
            "action": "remove",  # or "replace"
            "new_background": "solid_white"  # if replacing
        }
    )
    ```
  </Accordion>
</AccordionGroup>

### Style Transfer and Artistic Effects

<Tabs>
  <Tab title="Neural Style Transfer">
    **Apply artistic styles to existing images**

    ```json theme={null}
    {
      "content_image": "https://your-photo.jpg",
      "style_image": "https://style-reference.jpg", 
      "strength": 0.7,
      "preserve_content": true
    }
    ```
  </Tab>

  <Tab title="Preset Artistic Filters">
    **Quick artistic transformations**

    ```python theme={null}
    filters = [
        "oil_painting", "watercolor", "pencil_sketch", 
        "pop_art", "impressionist", "abstract"
    ]

    for filter_name in filters:
        response = requests.post(api_url, json={
            "image_url": "https://your-image.jpg",
            "filter": filter_name,
            "intensity": 0.8
        })
    ```
  </Tab>
</Tabs>

## Commercial Use and Licensing

### Usage Rights and Licensing

<Info>
  Images generated on Comput3 Network come with different licensing options depending on your plan and intended use.
</Info>

<AccordionGroup>
  <Accordion title="Personal Use License">
    **Included with all plans**

    ✅ **Allowed**:

    * Personal projects and portfolios
    * Educational and research purposes
    * Social media posts (personal accounts)
    * Non-commercial art and creativity

    ❌ **Not Allowed**:

    * Commercial sales or licensing
    * Business marketing materials
    * Stock photo services
    * Resale or redistribution
  </Accordion>

  <Accordion title="Commercial Use License">
    **Available with Pro and Enterprise plans**

    ✅ **Allowed**:

    * Business marketing and advertising
    * Product packaging and branding
    * Website and app content
    * Print materials and merchandise
    * Client work and services
    * Stock photo creation

    **Additional Requirements**:

    * Attribution may be required for certain uses
    * Some models have specific commercial restrictions
    * Enterprise plans include full commercial rights
  </Accordion>

  <Accordion title="Extended Commercial License">
    **Available as add-on for high-volume use**

    ✅ **Includes**:

    * Unlimited commercial usage
    * Resale and redistribution rights
    * No attribution requirements
    * White-label usage rights
    * Custom licensing terms available

    **Pricing**: Contact sales for custom pricing
  </Accordion>
</AccordionGroup>

### Model-Specific Considerations

<Warning>
  Different AI models may have varying licensing restrictions. Always check the specific terms for the model you're using.
</Warning>

<Tabs>
  <Tab title="Open Source Models">
    **Stable Diffusion and derivatives**

    * Generally permissive licensing
    * Commercial use typically allowed
    * May require attribution in some cases
    * Check specific model cards for details
  </Tab>

  <Tab title="Proprietary Models">
    **DALL-E style and custom models**

    * More restrictive licensing terms
    * Commercial use may require special licensing
    * Higher fees for commercial applications
    * Contact support for specific terms
  </Tab>
</Tabs>

## Troubleshooting and Tips

### Common Issues and Solutions

<AccordionGroup>
  <Accordion title="Poor Image Quality">
    **Symptoms**: Blurry, low-detail, or distorted images

    **Solutions**:

    * Increase the number of steps (30-50)
    * Adjust guidance scale (7-12 for most models)
    * Use negative prompts to exclude quality issues
    * Try different sampling methods
    * Increase resolution if budget allows

    ```text theme={null}
    Negative prompt: blurry, low quality, distorted, bad anatomy, 
    deformed, ugly, pixelated, grainy, artifacts
    ```
  </Accordion>

  <Accordion title="Prompt Not Followed">
    **Symptoms**: Generated image doesn't match the description

    **Solutions**:

    * Be more specific and detailed in prompts
    * Use attention weighting: `(important detail:1.3)`
    * Break complex prompts into simpler parts
    * Try different guidance scale values
    * Use negative prompts to exclude unwanted elements

    **Example Improvement**:
    ❌ "A person in a room"
    ✅ "A young woman with brown hair sitting in a modern living room, natural lighting, realistic photography style"
  </Accordion>

  <Accordion title="Inconsistent Results">
    **Symptoms**: Wildly different outputs for same prompt

    **Solutions**:

    * Use seed values for reproducible results
    * Increase guidance scale for more prompt adherence
    * Use more specific and detailed prompts
    * Try different sampling methods
    * Generate multiple images and select best results
  </Accordion>

  <Accordion title="Anatomical Issues">
    **Symptoms**: Incorrect hands, faces, or body proportions

    **Solutions**:

    * Use negative prompts: `bad anatomy, extra limbs, deformed hands`
    * Try models specifically trained for human subjects
    * Use reference images or controlnets
    * Generate multiple versions and select best anatomy
    * Consider post-processing with face/hand enhancement
  </Accordion>
</AccordionGroup>

### Optimization Tips

<CardGroup cols={2}>
  <Card title="Cost Optimization" icon="dollar-sign">
    * Start with lower resolution for iteration
    * Use faster models for experimentation
    * Batch similar requests together
    * Optimize prompts to reduce generation attempts
  </Card>

  <Card title="Quality Optimization" icon="star">
    * Spend time crafting detailed prompts
    * Use appropriate negative prompts
    * Choose the right model for your use case
    * Experiment with different parameters
  </Card>

  <Card title="Speed Optimization" icon="zap">
    * Use lower step counts for drafts
    * Choose faster models when quality allows
    * Batch multiple images in single requests
    * Use appropriate resolution for final use
  </Card>

  <Card title="Workflow Optimization" icon="cogs">
    * Save successful prompts and settings
    * Use seeds for reproducible results
    * Create prompt templates for common use cases
    * Organize generated images with metadata
  </Card>
</CardGroup>

## Next Steps

<CardGroup cols={3}>
  <Card title="Video Generation" icon="video" href="/generate-medias/videos">
    Learn how to create AI-generated videos and animations.
  </Card>

  <Card title="API Reference" icon="code" href="/api">
    Complete API documentation for image generation endpoints.
  </Card>

  <Card title="Advanced Techniques" icon="graduation-cap" href="/generate-medias/advanced">
    Explore advanced techniques like ControlNet, LoRA, and custom models.
  </Card>
</CardGroup>