fal-image-to-image

## Quick Reference

| Task | Endpoint | Key Parameter |
|------|----------|---------------|
| Transform | `fal-ai/flux/dev/image-to-image` | `strength: 0-1` |
| Inpaint | `fal-ai/flux/dev/inpainting` | `mask_url` |
| ControlNet | `fal-ai/flux-controlnet-union` | `control_type` |
| Upscale | `fal-ai/clarity-upscaler` | `scale_factor: 2-4` |
| Remove BG | `fal-ai/birefnet` | - |
| Face fix | `fal-ai/codeformer` | `fidelity: 0-1` |

| Strength Value | Effect |
|----------------|--------|
| 0.2-0.3 | Subtle style hint |
| 0.5-0.7 | Moderate transform |
| 0.8-1.0 | Full regeneration |

| ControlNet Type | Use Case |
|-----------------|----------|
| `canny` | Edge guidance |
| `depth` | 3D structure |
| `pose` | Human pose |
| `tile` | Detail enhancement |

## When to Use This Skill

Use for **image editing and transformation**:
- Style transfer while preserving structure
- Inpainting to edit specific regions
- ControlNet for guided generation
- Upscaling low-resolution images
- Removing backgrounds
- Restoring faces in old photos

**Related skills:**
- For text-to-image: see `fal-text-to-image`
- For image-to-video: see `fal-image-to-video`
- For model selection: see `fal-model-guide`

---

# fal.ai Image-to-Image Models

Complete reference for all image transformation, editing, and enhancement models on fal.ai.

## FLUX Image-to-Image

### Basic Image-to-Image
**Endpoint:** `fal-ai/flux/dev/image-to-image`
**Best For:** Style transfer, image transformation

Transform existing images while preserving structure.

```typescript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/flux/dev/image-to-image", {
  input: {
    prompt: "Transform into a watercolor painting style",
    image_url: "https://example.com/photo.jpg",
    strength: 0.75,  // 0-1, how much to transform
    num_inference_steps: 28,
    guidance_scale: 3.5,
    seed: 42
  }
});

console.log(result.images[0].url);
```

```python
import fal_client

result = fal_client.subscribe(