Qwen-Image-Edit Now Available on SiliconFlow: Advanced Text, Semantic and Appearance Editing

Sep 22, 2025

SiliconFlow is excited to announce that Qwen-Image-Edit is now available on our platform. Built on the powerful Qwen-Image 20B model, Qwen-Image-Edit extends its unique text rendering capabilities to precise image text editing. More importantly, this new version also introduces comprehensive semantic and appearance editing, ensuring that every change stays true to the intended meaning while refining visual style and details in a way that preserves realism.

To bring these advanced editing features directly to developers and creators, we've made them accessible through our production-ready API service.

With SiliconFlow's Qwen-Image-Edit API, you can expect:

Affordable Pricing: Qwen-Image-Edit $0.04/image.
Comprehensive Image Editing: Precise text, semantic, and appearance modifications in one unified API.

Key Capabilities & Real Performance

Combined with text and appearance editing, this makes Qwen-Image-Edit a powerful and accessible tool for creators of all kinds.

Text Editing

The key feature of Qwen-Image-Edit is its precise text editing capability, built on Qwen-Image's advanced text rendering expertise. The examples below clearly illustrate how Qwen-Image-Edit can accurately modify English text while preserving the original image layout and style.

Poster Editing: Qwen-Image-Edit can directly edit posters, enabling not only modifications to large headline text but also precise adjustments to even small and intricate text elements.

Semantic Editing

Semantic editing ensures that modifications reflect the intended meaning without distorting the image's core content. Typical applications include:

IP Creation: Qwen-Image-Edit's powerful semantic editing capability enables effortless and diverse creation of original IP content, preserving character consistency.

Novel View Editing: Many paid text-to-image models struggle with preserving the original subject during multiple edits, often failing to achieve the desired result. In contrast, Qwen-Image-Edit allows users to modify perspectives while keeping the original subject intact, making it ideal for iterative creative workflows.

Avatar Creator Editing: Qwen-Image-Edit can easily transform it into various artistic styles which holds significant value in applications like virtual avatar creation.

Appearance Editing

As another common image editing requirement, appearance editing emphasizes keeping certain regions of the image completely unchanged while adding, removing, or modifying specific elements.

Object Addition & Removal – insert or remove elements naturally.

Background Swap – changes the scene while keeping main subjects intact.

Visual Try-On – simulate clothing, accessories, or props with realistic integration.

Get Started Immediately

1. Explore: Try Qwen-Image-Edit in the SiliconFlow playground.
2. Integrate: Use our OpenAI-compatible API. Explore the full API specifications in the SiliconFlow API documentation.

import requestsurl = "https://api.siliconflow.com/v1/images/generations"payload = {    "batch_size": 1,    "num_inference_steps": 20,    "guidance_scale": 7.5,    "model": "Qwen/Qwen-Image-Edit",    "prompt": "an island near sea, with seagulls, moon shining over the sea, light house, boats int he background, fish flying over the sea",    "image": "data:image/png;base64, XXX"}headers = {    "Authorization": "Bearer <token>",    "Content-Type": "application/json"}response = requests.post(url, json=payload, headers=headers)print(response.json())

Curious to see what's possible? Experience Qwen-Image-Edit now on SiliconFlow!

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