seedream-4-0/edit
Edit and fuse images into high quality results with Seedream 4.0.
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| prompt | string | "" | Natural-language instruction describing the edit goals. Be explicit about what to change and what to preserve. |
| negative_prompt | string | "" | Terms to avoid in the output (e.g., "no blur", "no watermark"). |
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| image_urls | array (image URIs) | [] | 1–3 input images. The first is the base to edit; additional images guide style or composition. |
| Parameter | Type | Default/Range | Description |
|---|---|---|---|
| image_size | string | square; presets: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, Custom | Select a preset aspect ratio or provide custom dimensions. |
| num_inference_steps | integer | 28 | Diffusion steps. Increase for more fidelity; reduce for speed. |
| guidance_scale | float | 4.5 | Prompt adherence strength. Higher values follow the prompt more strictly, possibly reducing creativity. |
| seed | integer | — | Optional deterministic seed. Use for reproducible edits. |
| output_format | string | png; options: jpeg, png, webp | Output image format. Choose based on downstream requirements. |
Developers can integrate Qwen Image Edit 2511 via the RunComfy API using standard HTTP requests. Provide the base image(s), prompt/negative_prompt, and tuning parameters (steps, guidance, seed, output_format) to obtain consistent, high-fidelity edits. The workflow supports REST-based automation for production pipelines.
Note: API Endpoint for Qwen Image Edit 2511
Edit and fuse images into high quality results with Seedream 4.0.
Delivers refined image remastering and brand-consistent visual edits with scalable control.
Transform visuals with smart region edits and multi-image blending for precise, high-fidelity results.
Advanced AI editing merges scenes and styles with precise structure control for designers.
Advanced relighting and multi-image fusion tool with fast ControlNet support for detailed, consistent design results.
Redefine creative edits with dual-input precision and adaptive control for design professionals
Qwen Image Edit 2511 is a 20B-parameter model for image-to-image editing, focusing on consistency and geometric accuracy. It improves multi-person and identity preservation, text editing fidelity, and integrates community LoRA styles directly in the base model, differentiating it from earlier Qwen releases like version 2509.
For Qwen Image Edit 2511, the maximum supported output resolution is roughly 4096×4096 pixels per image-to-image edit, with up to three input reference images. The prompt length is limited to around 1,024 tokens, and API calls beyond these limits will trigger a truncation or scaling adjustment.
Yes, Qwen Image Edit 2511 allows up to three source images for image-to-image tasks, enabling blending and transformation across subjects or products. The model fuses detail via ControlNet-like conditioning and parallel adapters, optimizing consistency across all references.
You can prototype Qwen Image Edit 2511 using the RunComfy Playground’s web UI, then transition to an API-based workflow by generating an access key from your account dashboard. The API mirrors the playground’s image-to-image parameters, allowing direct automation with the same prompt and control structure. Refer to RunComfy’s documentation under the 'API Integration' section for production scaling.
Qwen Image Edit 2511 delivers tighter structural consistency, especially for industrial and product design or text-heavy edits. While Seedream 4.5 excels in artistic upscales and stylization, Qwen Image Edit 2511’s image-to-image pipeline ensures better text preservation, geometric accuracy, and identity lock across multiple edits.
Nano Banana Pro may slightly outperform in ultra-photorealistic lighting and minimal-prompt changes, but Qwen Image Edit 2511 significantly narrows that gap by maintaining lower drift and improved multi-person consistency. It remains especially strong in language-to-image-to-image scenarios involving structural manipulation and typography fidelity.
Qwen Image Edit 2511 is accessible under RunComfy’s hosted model terms. For commercial use of its image-to-image outputs, developers should verify Alibaba’s or Tongyi-Lab’s original license terms before integration. RunComfy provides clear usage records and recommends confirming attribution or derivative work restrictions.
Yes. Technical artists benefit from Qwen Image Edit 2511’s image-to-image controller, which preserves scene geometry while allowing creative edits like object insertion, background swaps, and lighting consistency improvements. This makes it ideal for e-commerce, design iteration, and content consistency across campaigns.
Qwen Image Edit 2511 introduces a dual encoding pipeline that directly aligns semantic embeddings with the VAE’s visual features. This reduces mismatched facial or branding identity across multiple image-to-image passes, preserving subject fidelity better than any previous Qwen variant.
Unlike many generative models, Qwen Image Edit 2511 preserves original fonts, sizes, and styles when editing or replacing text in images, achieving near-perfect typographic alignment in image-to-image conversions. This feature is highly valued by UI/UX and graphic design teams.
RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.
