HunyuanImage-3.0-Instruct

It is a native multimodal autoregressive model designed for image generation, supporting both text-to-image and image-to-image (TI2I) tasks. It features a unified architecture for multimodal understanding and generation, achieving performance comparable to leading closed-source models. The model includes two main variants: HunyuanImage-3.0 (text-to-image) and HunyuanImage-3.0-Instruct (enhanced with reasoning capabilities for intelligent prompt improvement and creative editing).

Key Features:

• Unified Multimodal Architecture: Integrates text and image modalities within an autoregressive framework, enabling contextually rich and semantically accurate image generation.
• Largest Open-Source Image Generation MoE Model:  Total parameters: 80 billion (13 billion active per token). Employs Mixture of Experts (MoE) with 64 experts.
• Supported Tasks:
  • Text-to-Image (T2I): Generates images from text prompts.
  • Image-to-Image (TI2I): Edits or modifies existing images based on instructions (e.g., "modify logo style using reference image").
  • Multi-Image Fusion: Combines multiple input images into coherent outputs.
• Intelligent Reasoning:  HunyuanImage-3.0-Instruct includes CoT (Chain-of-Thought) reasoning and prompt self-rewrite capabilities to enhance sparse or vague prompts. Enables context-aware editing (e.g., adding/removing elements, style transfers).
• Hardware Requirements:  GPU: ≥8×80GB VRAM 

Announce Date: 28.01.2026
Parameters: 80B
Experts: 64
Activated at inference: 13B
Attention Type: Full Attention
Developer: Tencent
vLLM Version: 0.16.0
License: tencent-hunyuan-community

Use our pre-built public endpoints for free to test inference and explore HunyuanImage-3.0-Instruct capabilities. You can obtain an API access token on the token management page after registration and verification.

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

• achieve maximum endpoint performance,
• access the full context window for processing large requests and conversations,
• ensure maximum security by processing data in a dedicated, isolated environment.

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.