Qwen-Image-Edit
Qwen-Image-Edit is a 20B multimodal diffusion model for advanced image editing and transformation. It performs precise text-guided edits, inpainting, and style modifications while preserving visual fidelity and layout.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| negative_prompt | string | What to exclude from the generation | |
| true_cfg_scale | number | 4 | Prompt adherence (CFG scale) |
| num_inference_steps | number | 25 | Generation steps |
| seed | number | 50 | Random seed for reproducibility |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
Preserves image quality Precise edits with masking Multiple editing modes Good detail preservation | Requires good source images Complex edits need multiple passes Mask/Targeted precision important |
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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