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.

Alibaba Cloud Image Context N/A
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$1.00

api_example.sh

curl -X POST "https://platform.qubrid.com/image/edit" \
  -H "Authorization: Bearer $QUBRID_API_KEY" \
  -F "model=Qwen/Qwen-Image-Edit" \
  -F "prompt=Add a rainbow over the mountains" \
  -F "negative_prompt=" \
  -F "true_cfg_scale=4" \
  -F "num_inference_steps=40" \
  -F "seed=42" \
  -F "use_inpainting=false" \
  -F "image=@<YOUR-IMAGE-COMPLETE-PATH>"

Technical Specifications

Model Architecture & Performance

Model Size 20B params
Context Length N/A
Quantization None
Tokens/Second N/A
License Apache 2.0
Release Date 2023 (public release)
Developers EleutherAI

Pricing

Pay-per-use, no commitments

Generation Rate $0.003/Megapixel
Extra Step $0.0001/Step
Input Image $0.000001/Image

API Reference

Complete parameter documentation

ParameterTypeDefaultDescription
negative_promptstringWhat to exclude from the generation
true_cfg_scalenumber4Prompt adherence (CFG scale)
num_inference_stepsnumber25Generation steps
seednumber50Random seed for reproducibility

Explore the full request and response schema in our external API documentation

Performance

Strengths & considerations

StrengthsConsiderations
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

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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