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AI 模型

HunyuanImage 3.0 Instruct (Fal)

Tencent

立即試用 ↗
發布日期2026/01

排名表現

#67
AIM 67.9最高排名 #53
#30
AIM 69.3最高排名 #8

評測分析

HunyuanImage 3.0 Instruct is a solid choice for professional image editors and retouching teams, but not a general-purpose text-to-image solution. It is best used when starting with a source image and applying precise adjustments via specific instructions.

強項

  • Image editing (inpainting, outpainting, fine-detail adjustments) is its primary strength, ranking high on AIM
  • Handles specific instructions well (Instruct mode)—accurately interpreting and executing detailed editing prompts
  • High precision in editing and restoring existing images without generating from scratch

弱項

  • Text-to-image generation is not its focus—ranks lower on AIM compared to dedicated generation models
  • Limited performance on complex creative tasks or prompts requiring high novelty
  • Best suited when an existing image is provided for editing; less effective with standalone text prompts

適用情境

Editing, retouching, and fine-tuning existing images (color, contrast, specific regions)Inpainting and outpainting—filling content and expanding image boundaries based on user instructionsProfessional graphics workflows requiring granular control and precise modifications

指南與影片

HunyuanImage 3.0 Instruct is an 80B-parameter text-to-image model developed by Tencent, launched in January 2026. It is accessible for free testing via the fal.ai Playground at fal.ai/models/fal-ai/hunyuan-image/v3/instruct/text-to-image or via API. The model supports text-to-image, image editing, multi-image fusion, and complex instruction-guided modifications. A standout feature is its integrated Chain-of-Thought reasoning, allowing the model to analyze and refine prompts internally before generation, yielding strong results even with concise inputs. For optimal performance, use the Distil version for fast generation (8 steps) or the full model for maximum detail; a key strength is its accurate rendering of English and Chinese text within images.

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