Hunyuan Part

Hunyuan Part API Overview

Hunyuan Part is designed for fine-granular image editing and composition tasks. It enables users to selectively change, refine or redraw parts of an image (for example, background elements, lighting, objects or textures) while maintaining the coherent style, lighting and scene context of the original image. Use-cases range from retouching photographic content, advanced photomontage, through to enhancement of images generated by other models.

Technical Specifications

• Model Type: Image-editing,image-inpainting, region-refinement transformer-based network (within the Hunyuan family)
• Input / Output: Takes an image (and optionally a mask defining the region to edit) + editing instructions; outputs edited image with the same resolution, style and lighting as input
• Architecture: Unified autoregressive framework optimized for local region editing
• Inference Speed: Efficient part-level focus reduces processing time compared to full-image editing
• Supported Resolutions: High-resolution support up to 4K for professional use

Performance Benchmarks

• High Fidelity: Edited regions have minimal artifacts and blend seamlessly into the original scene.
• Lighting and Style: Better at maintaining original lighting and style compared to many generic inpainting models.
• Photomontage: Significantly fewer seam/edge artifacts in photomontage workflows (mixing user-provided image elements).‍
• Reduced "Footprint": Achieves a 20-30% reduction in visible editing "footprint" (blur, edge banding, inconsistent shadows) in internal tests compared to older editing models.

Key Features

• Precise Part-Level Editing: Target and modify specific image areas without disrupting the global composition or lighting.
• Seamless Style Preservation: Maintains consistent color palette and illumination across edited regions to blend naturally.
• Inpainting and Outpainting: Supports accurate inpainting for retouching damaged or unwanted areas and outpainting for extending image content.
• Compatibility with Other AI Models: Enhances images created by other generative models by refining and adding detailed adjustments.
• Advanced Semantic Understanding: Leverages multimodal cues to comprehend complex visual content and user intent for refined edits.
• High-Fidelity Output: Produces photorealistic edits suitable for professional photography and design tasks.

Hunyuan Part API Pricing

• $0.042 per generation

Code Sample

Comparison with Other Models

vs Adobe Photoshop: Hunyuan Part offers highly specialized, precise part-level editing designed for seamless inpainting and outpainting while preserving global scene style and lighting. Photoshop's AI tools focus on broader image manipulation and content-aware fill but often require manual adjustment for natural blending and lighting consistency.

vs DALL·E: DALL·E excels at creative image generation and coarse inpainting based on textual prompts but can sometimes produce stylistic inconsistencies or visible artifacts in detailed regions. Hunyuan Part specializes in detail-preserving local edits that maintain the exact lighting and style of the original image, making it superior for professional-quality retouching and AI image enhancement workflows.

vs Stable Diffusion: Stable Diffusion models are popular for versatile text-to-image creation and inpainting but often generate less consistent lighting and style uniformity in edited regions. Hunyuan Part surpasses them with more accurate semantic understanding and photometric coherence during part-level edits, delivering more natural and realistic edits, especially in high-resolution images.

vs Runway ML: Runway ML provides fast and user-friendly AI-powered editing tools for quick content creation with decent quality but may lack fine control over subtle lighting and texture details. Hunyuan Part focuses on precision and photorealism in localized editing, often preferred by professionals requiring high-fidelity output rather than rapid, broad edits.