Tencent · Premium
Advanced reasoning and multi-concept composition.
Tencent’s reasoning model, distinctive for scenes that combine several concepts in one frame. It refines through instruction-based editing that preserves the concepts already in the image.
Reach for it when the prompt describes several things that all have to appear and relate correctly.
Every model on ImageForge renders the same six prompts, one per strength, so you can judge Hunyuan Image 3.0 against the others on identical input. Images are unedited, at 1 megapixel. How we ran the test.
Skin texture, natural light and a believable shallow depth of field.
“Close-up portrait of an elderly fisherman with a weathered face and grey stubble, wearing a yellow raincoat, soft overcast light from a window, shallow depth of field, 85mm photograph”
Both lines of text spelled correctly and placed on the sign, not floating beside it.
“A vintage enamel sign on a brick wall that reads "FRESH BREAD DAILY" in bold red serif letters, with "since 1962" in smaller script below, morning sunlight”
Glass, metal and water rendered convincingly in one studio setup.
“A frosted glass perfume bottle with a brass cap on wet black slate, droplets on the glass, soft rim light, reflections on the stone, studio product photography”
Exactly three red cubes on the sphere, with the cone on the left and the cylinder on the right.
“Three red cubes stacked on top of a blue sphere, a green cone to the left and a yellow cylinder to the right, on a black and white checkerboard floor, soft studio lighting”
A consistent watercolor-and-ink style rather than a photo with a filter.
“Children's book illustration of a fox in a knitted scarf reading a book under a large mushroom in light rain, soft watercolor and ink, warm palette”
Mixed light sources, wet reflections and several subjects in one frame.
“A narrow street in Tokyo at night after rain, neon signs reflecting in puddles, a cyclist with an umbrella passing a lit ramen shop, cinematic”
Yes. Instruction-based editing with concept preservation.
Strengths: Detail enhancement, Subject preservation
Side-by-side results on the same six prompts, with the differences in price and features.
