hunyuan-image-3
Hunyuan Image 3.0 is Tencent’s next‑generation open‑source text-to-image model that uses a large multimodal Mixture-of-Experts architecture to unify image understanding and generation in one system. It produces high-fidelity, often photorealistic images with strong prompt adherence, multilingual text rendering, and intelligent world-knowledge reasoning that can enrich sparse prompts with appropriate visual details. Note: Uploading attachments is not supported. Parameter controls available: 1. Image Settings Size / Aspect Ratio - Default: `--size 1024x1024` (Square 1:1) - `--size 768x1024` (Portrait 3:4) - `--size 1024x768` (Landscape 4:3) - `--size 1024x1536` (Tall Portrait 2:3) - `--size 1536x1024` (Wide Landscape 3:2) - `--size 512x512` (Small Square 1:1) Quantity - `--num_images [1-4]` number of images to generate (default: 1) Quality & Generation - `--num_inference_steps [10-50]` denoising steps for quality (default: 28, higher = better quality but slower) - `--guidance_scale [1.0-20.0]` how closely to follow prompt (default: 7.5) Customization - `--negative_prompt "text"` things to avoid in generated images - `--seed [integer]` reproducible generation with fixed seed (e.g., 42)
| Provider | Source | Input Price ($/1M) | Output Price ($/1M) | Description | Free |
|---|---|---|---|---|---|
| poe | poe | Input: - | Output: - | Hunyuan Image 3.0 is Tencent’s next‑generation open‑source text-to-image model that uses a large multimodal Mixture-of-Experts architecture to unify image understanding and generation in one system. It produces high-fidelity, often photorealistic images with strong prompt adherence, multilingual text rendering, and intelligent world-knowledge reasoning that can enrich sparse prompts with appropriate visual details. Note: Uploading attachments is not supported. Parameter controls available: 1. Image Settings Size / Aspect Ratio - Default: `--size 1024x1024` (Square 1:1) - `--size 768x1024` (Portrait 3:4) - `--size 1024x768` (Landscape 4:3) - `--size 1024x1536` (Tall Portrait 2:3) - `--size 1536x1024` (Wide Landscape 3:2) - `--size 512x512` (Small Square 1:1) Quantity - `--num_images [1-4]` number of images to generate (default: 1) Quality & Generation - `--num_inference_steps [10-50]` denoising steps for quality (default: 28, higher = better quality but slower) - `--guidance_scale [1.0-20.0]` how closely to follow prompt (default: 7.5) Customization - `--negative_prompt "text"` things to avoid in generated images - `--seed [integer]` reproducible generation with fixed seed (e.g., 42) |