Turn Ideas Into Images With Hunyuan 3.0 Text To Image
Last verified: August 3, 2026
A concept artist facing an empty mood-board slot can use Hunyuan 3.0 Text To Image when the direction exists in words but no source visual exists. This prompt-only mode turns a written scene brief into one downloadable still, creating a direct path from an early idea to a visual that can be reviewed.
HunyuanImage 3.0 uses a native multimodal framework that combines autoregressive language processing with diffusion-based image modeling. Its Mixture-of-Experts backbone has more than 80 billion total parameters, with approximately 13 billion activated per token, helping the model interpret detailed relationships, context, and visual direction within natural-language prompts.
Official materials position the model for richly specified text-to-image requests and report strong alignment between prompts and generated visuals. For creators, the game-changing shift is practical: an articulate brief can become a reviewable concept without first assembling the scene manually, leaving more time for focused prompt iteration.
Explore More Text To Image
Verified Generation Snapshot
A factual view of the available input, controls, output, timing, and expected cost.
Required input
Text prompt
Aspect ratios
1:1, 3:4, 4:3, 9:16, 16:9
Seed control
Supported
Output
1 image at fixed medium quality
File formats
JPEG or PNG
Frame the Idea Before It Renders
Run Cleaner Prompt Experiments
Prepare the File for Its Next Stop
From Prompt to Download in Four Steps
Follow four practical steps to move from a written brief to one finished JPEG or PNG.
Step 1: Write the scene brief
Describe the main subject, setting, action, style, composition, lighting, color palette, and any short text that should appear in the image.
Step 2: Set the frame and format
Choose one of the five available aspect ratios, then select JPEG or PNG for the final file.
Step 3: Generate the image
Click Generate after checking the prompt and settings. A run is expected to take about 30 seconds and cost 32 credits.
Step 4: Review and download
Inspect the single generated image for composition, details, and text accuracy, then download the final output.
When a Single Prompted Still Is the Right Fit
Compare this focused text-first workflow with routes designed for editing, batching, or specialized deliverables.
| Criterion | Our Tool | Alternatives | Best For |
|---|---|---|---|
| Starting material | Begins with a required text prompt and no source media. | Choose an image-based workflow when an existing photo or design must be preserved or edited. | Creating an original visual from a written concept. |
| Canvas planning | Offers standard square, portrait, and landscape framing options. | Use another route when an exact pixel dimension or nonstandard ratio is mandatory. | Social posts, covers, presentations, and concept boards. |
| Review cadence | Returns one result per run, making each generation a deliberate creative checkpoint. | A batch or multi-output workflow is better for building a large contact sheet in one pass. | Focused prompt refinement and low-commitment exploration. |
| Asset handoff | Delivers a finished JPEG or PNG raster image. | A layered design or vector workflow is better when individual elements require direct editing. | Ready-to-review still images and flattened visual concepts. |
Choose this workflow for a single prompt-led raster concept in a standard ratio; use another route for source-image editing, custom dimensions, batch output, or layered assets.
Preflight Checks Before Hunyuan Image Generation
Verify these four points before submitting the prompt to reduce avoidable retries.
1. Verify that every subject has a role and position
Cause: A long prompt can remain ambiguous when relationships between people, objects, and background elements are only implied.
Fix: Name the primary subject first, then assign secondary subjects to the foreground, midground, or background with explicit actions and positions.
Retry: Retry after one structural rewrite if important objects disappear, exchange attributes, or occupy the wrong part of the scene.
2. Verify that the aspect ratio matches the destination
Cause: A portrait concept placed in a wide frame, or a landscape scene placed in a narrow frame, can force awkward spacing or cropping.
Fix: Select the intended ratio before generation and reinforce the composition with terms such as centered portrait, full-body vertical, or wide establishing view.
Retry: Retry with the corrected ratio before changing the subject or style instructions.
3. Verify that requested display text is short
Cause: Dense copy, several font treatments, or a complicated hierarchy increases the chance of missing or malformed characters.
Fix: Place the exact wording in quotation marks, limit the number of phrases, and specify one clear location, size hierarchy, and lettering style.
Retry: Retry after simplifying the copy if any important word is misspelled, omitted, or merged with nearby graphics.
4. Verify that the seed and prompt changes are intentional
Cause: Comparisons become difficult when a seed is not recorded or several prompt variables are changed at the same time.
Fix: Use a chosen seed for the test sequence and alter one variable per run, such as lighting, camera angle, or color palette.
Retry: Retry when the previous run cannot reveal which edit produced the visual change.
Frequently Asked Questions
What should I write in a Hunyuan 3.0 Text To Image prompt?
Start with the main subject and action, then add the setting, composition, viewpoint, lighting, color palette, visual style, and important materials. State spatial relationships directly, and place any required display copy in quotation marks.
Can I start from an uploaded photo?
No source image is listed for this workflow. The required input is a text prompt, so choose an image-based generation or editing route if an existing visual must guide the result.
Can I enter exact pixel dimensions?
The available control is aspect ratio rather than a documented custom pixel-size field. Choose from 1:1, 3:4, 4:3, 9:16, or 16:9 based on the destination and compose the prompt for that frame.
Does choosing PNG create a transparent background?
PNG is available as an output format, but transparent-background generation is not specified in the supplied tool configuration. Do not assume the PNG will contain an alpha channel unless the downloaded result confirms it.
Will the same seed always create an identical image?
Seed control provides a useful reference for controlled prompt experiments, but exact repeatability can depend on the model and service configuration. Record the seed, hold other settings steady, and change one prompt detail per comparison.
How reliable is text inside the generated image?
Text rendering is a documented strength of HunyuanImage 3.0, but it should not be treated as error-proof. Use short copy, quote the exact wording, request a simple hierarchy, and inspect every character before publishing.
Is this the HunyuanImage-3.0-Instruct editing workflow?
This page exposes a prompt-only text-to-image workflow. Tencent's official repository separately documents an Instruct variant with image-input editing and multi-image capabilities, neither of which is listed as an input option here.
Who owns the generated output?
Tencent's model license states that it claims no rights in generated outputs, while users remain responsible for those outputs and their later use. The license also contains territory and acceptable-use conditions, so review both the model license and the platform terms for your location and intended project. This is not legal advice.