fal-ai/qwen-image-2/edit
Qwen-Image-2.0 is a next-generation foundational unified generation-and-editing model
Inference
Commercial use
Partner
Input
Hint: Drag and drop files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL.
1 image added
Additional Settings
Customize your input with more control.
Qwen Image 2.0 — Image Editing
Qwen Image 2.0 Editing uses natural language instructions to modify images — no masks, control points, or multi-stage pipelines required. Describe the edit, provide a source image, and the model handles the rest. This standard endpoint is optimized for fast iteration at $0.035 per image.
What You Can Edit
- Backgrounds — replace, remove, or modify scene environments
- Objects — insert new elements or remove unwanted ones
- Style — apply artistic styles across the full image or specific regions
- Text — add, change, or remove text within images
- Attributes — adjust colors, lighting, materials, or object properties
- Composition — combine elements from multiple images into a cohesive result
Key Parameters
| Parameter | Default | Range | Notes |
|---|---|---|---|
| prompt | — | string | Describe the desired edit in natural language |
| image_url | — | URL | Public URL of the image to edit |
| guidance_scale | 4.5 | 1–20 | 4–7 for most edits; lower = more creative |
| num_inference_steps | 28 | 1–50 | 15–20 for previews, 25–30 for quality |
| num_images | 1 | 1–4 | Multiple variations in one request |
| seed | random | integer | Reproducible results |
| output_format | png | png / jpeg / webp | Output file format |
Quick Start
Iteration Workflow
- Test the edit — run at 15–20 steps to check if the model understands your intent
- Refine the prompt — adjust wording, add specifics about what to preserve
- Increase quality — bump to 25–28 steps once the direction is right
- Go Pro — switch to the Pro editing endpoint for the final version at maximum fidelity
Use or to compare variations and pick the best result.
Prompt Writing Guide
Edit prompts need to specify both the change and the context. A few patterns that work well:
Be Explicit About the Change
- "Change the wall color from white to deep navy blue"
- "Replace the wooden table with a glass desk"
- "Add a potted plant in the empty corner on the left"
Mention What to Preserve
- "...keep the lighting and shadows consistent"
- "...preserve the subject's expression and pose"
- "...maintain the original color palette for everything else"
Avoid Vague Instructions
- Too vague: "Make it look better" — the model has no direction
- Better: "Increase the contrast, deepen the shadows, and add warm golden tones to the highlights"
Guidance Scale Tuning
The parameter is particularly important for editing:
- 2–4: Loose interpretation — good for creative style transfer where you want the model to improvise
- 4–7: Balanced — works for most practical edits (background swaps, object changes, color adjustments)
- 7–12: Strict adherence — useful when the prompt must be followed precisely, but may produce artifacts
Start at the default (4.5) and adjust based on results.
Related Endpoints
- Image Editing (Pro) — higher fidelity for production assets
- Text to Image — generate new images from text
- API Reference — full parameter documentation