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Image creation hub

AI Image Generator

Use a multi-model AI image generator to create from text or reference photos, compare quality, speed, controls, and credit costs, then review every result in one focused workspace.

  • Text or reference input
  • Model-aware controls
  • Free daily credits and upfront cost
Prompt
0 / 2000
Model
Aspect Ratio
Format
Number of Images

Choose the Right Image Workflow Before You Prompt

The Genify AI Image Generator is built for both quick experiments and repeatable production. As a free AI image generator entry point, daily credits let you test supported image workflows before deciding whether the pricing fits ongoing use. The live model picker shows the choices and credit estimate available now. For ecommerce graphics, campaign concepts, editorial images, or personal artwork, high-quality AI images are the ones that satisfy the brief and survive close review, not the ones backed by a universal quality claim.The most useful first decision in an AI image generator is not a style label or a model name. It is whether the result should begin from language alone or remain connected to a reference image. Genify keeps both paths in the same page while preserving separate tools for deeper guidance.

Start from a blank canvas

Choose the text workflow when the concept exists mainly in words. Describe the subject, setting, composition, lighting, mood, and constraints, then refine the prompt after seeing the first result. The dedicated Text To Image AI Guide goes further into prompt structure and iteration.
Text To Image AI

Preserve what matters from a reference

Choose the reference workflow when the new result should retain parts of an existing image. Upload the source, explain what must stay recognizable, and state what should change. For detailed guidance, use the Image To Image AI Page.
Image To Image AI

Use model-specific controls

The model picker and settings panel show only the controls supported by the selected option. Image size or aspect ratio is part of the normal workflow, while quality, output format, web search, and reference-image count can vary. Review the settings shown after choosing a model.

Continue in one Workspace

After a valid task is submitted, Genify opens Workspace so you can follow progress and review the generated result in one place.

A Practical Four-Step AI Image Generation Workflow

A reliable workflow separates creative intent from technical settings. Make the core idea clear first, then use the controls that are actually available for the chosen model. This reduces random changes and makes each new attempt easier to evaluate.
  1. 01

    Select text or reference input

    Use text to explore a new concept. Use a reference image when you need continuity in subject, layout, palette, or overall direction. Switching modes on the hub keeps both generator panels mounted, so unfinished prompts and uploaded references are not discarded simply because you compare the two paths.
  2. 02

    Write the visual brief

    Describe the main subject before secondary details. Add environment, composition, viewpoint, lighting, atmosphere, and exclusions only when they help define the image. In reference mode, divide the instruction into what to preserve and what to alter.
  3. 03

    Review the selected model

    Open the model and settings controls before submitting. Confirm the image size or ratio and any other visible choices. Some models expose more output or quality options than others, so avoid assuming that a setting from one model will appear everywhere.
  4. 04

    Generate, inspect, and revise

    Submit the task, follow it in Workspace, and compare the result against the brief. Change one meaningful variable at a time: prompt wording, composition, reference choice, or a supported setting. A controlled second attempt is more informative than rewriting every detail at once.

Where a Combined AI Image Generator Is Most Useful

The hub is designed for choosing and comparing creation paths, not for claiming that every image task works the same way. These scenarios show when text input, reference input, or a sequence of both can reduce unnecessary trial and error.

Concept exploration and visual direction

Begin with text when a project has a theme but no source image. Generate a few directions around the same subject, then compare composition, color temperature, camera distance, and mood. Once a direction is useful, a selected result can become a reference for a more controlled transformation workflow.

Marketing and editorial ideation

Draft visual ideas for article headers, campaign concepts, social layouts, or presentation themes by specifying the communication goal and the space needed for later typography. The generated image is a creative input; final brand, legal, accessibility, and publication checks remain the user’s responsibility.

Product and object variations

A reference image can anchor the object while the prompt requests a different environment, background treatment, framing, or visual direction. State which physical details must remain stable. For a clean cut-out before a larger transformation, use the Background Remover as a separate utility step.

Character, scene, and style studies

Text input is useful for discovering a scene, while reference input can help carry selected visual traits into another version. Describe traits directly instead of relying only on a vague style word. For recurring characters or exact brand assets, expect to review consistency carefully rather than assume perfect preservation.

Rapid alternatives for an existing draft

Upload a draft, sketch, mockup, or generated result and request a specific alternative. Useful changes include a different crop, time of day, material impression, palette, or emphasis. A narrow request usually gives clearer feedback than asking the system to “make it better.”

Image-first planning for video work

A still image can help settle a subject, frame, and atmosphere before motion is introduced. After the key frame is satisfactory, move to the AI Video Generator and choose the video workflow that matches whether you are starting from text or a still image.

Build Prompts from Decisions, Not Adjective Piles

An effective prompt acts like a compact creative brief. It gives the model a hierarchy of decisions instead of a long list of disconnected praise words.

Start with the subject and its action or state. Follow with the environment and the relationship between the subject and the frame. Then add viewpoint, composition, lighting, color, atmosphere, and material details. A final clause can reserve negative space, protect a key element, or exclude an unwanted feature when the selected workflow supports that instruction through the prompt.

For example, “ceramic desk lamp on a walnut table” establishes the object and surface. “Three-quarter view, soft window light from the left, calm neutral palette, generous empty space on the right” adds decisions that can be checked in the result. Terms such as “beautiful,” “amazing,” or “high quality” are less useful when they do not explain what the image should show.

The built-in optimize action can help reorganize or expand a prompt, but the revised text should still be read before generation. Remove details that change the brief, keep requirements that matter, and avoid treating a longer prompt as automatically better.

Understand What Text and Reference Images Control

Text and image inputs influence the result in different ways. Clear expectations make it easier to decide which mode belongs at the start of the task.

  • Text is strongest as a specification of meaning: subject, action, context, layout, lighting, mood, and visual direction. It is the right starting point when no source composition needs to survive.
  • A reference image provides shapes, colors, spatial relationships, textures, and identity cues. The prompt should explain which details matter rather than assuming the model knows what you want to preserve.
  • A reference does not guarantee pixel-level preservation. When a detail is essential, name it, simplify competing changes, and compare results at the level that matters to the project.
  • Multiple references are available only for models that expose that capability. If the current model accepts more than one, give each image a clear role and avoid contradictory visual directions.

Use Settings as Constraints, Not Decoration

The settings panel is most helpful when every choice serves the intended destination. More controls do not necessarily mean a more suitable model.

Choose an aspect ratio or image size that matches the layout you need. A wide frame invites horizontal relationships; a vertical frame changes the way a full figure or tall object occupies the scene; a square frame often produces a more centered balance. Ask for composition that fits the selected frame instead of writing a prompt for one shape and generating another.

Output count can support comparison, but each additional result also expands the review task and the credit total shown by the interface. Begin with a small batch when the prompt is still uncertain. Increase variations after the subject, framing, and visual direction are stable.

Output format, quality, web search, and related options appear only when the selected model supports them. Review the settings and displayed credit estimate before submission. Available model capabilities can change, so this page does not present one fixed option table for every model.

Troubleshoot the Brief Before Changing the Model

Many disappointing results come from an ambiguous instruction, an unsuitable reference, or too many simultaneous changes. Diagnose the visible failure first.

  • Wrong subject emphasis: move the primary subject to the opening clause, reduce competing objects, and state the intended focal point or scale relationship.
  • Crowded or empty composition: name the camera distance, placement, and negative-space requirement. Confirm that the selected frame supports that layout.
  • Reference changed too much: list the exact features to preserve, request fewer transformations, and use a clearer source image with the important subject unobstructed.
  • Result changed too little: describe the target rather than only saying “different.” Specify the new environment, palette, material, lighting, crop, or art direction.
  • Inconsistent text or tiny details: simplify the visual, enlarge the important element in the composition, and plan to verify or finish critical lettering and precision details in an appropriate downstream tool.
  • Generation does not submit: check that required prompt and reference inputs are present, complete any sign-in request, and review the interface for credit or concurrency feedback rather than repeatedly clicking the button.
Use the hub for mode selection, then move to a task page when you need deeper prompting advice. You can also return to the Genify Home Page to compare image and video creation at the product level.
  • Text To Image AILearn how to turn a written concept into a structured prompt, choose settings, and iterate without a reference image.
  • Image To Image AIPrepare reference images, define what to preserve, and write transformation instructions that are easier to evaluate.
  • AI Background RemoverUse the dedicated utility when the task is foreground isolation rather than generative restyling or scene creation.

AI Image Generator FAQ

These answers explain how the current image generator works. Available inputs and settings can vary by model.
Can I try the AI Image Generator for free?
Yes. Signed-in users receive daily free credits that can be used with supported image models when the balance covers the quoted task. The AI Image Generator shows the exact credit requirement before submission, so you can compare a model and its settings without an unexpected charge.
How many credits does one AI image cost?
There is no single cost for every image. Credits depend on the selected model, number of outputs, dimensions, quality, and other supported settings. The action button calculates the current quote before you generate.
Which model is fastest or produces the best quality?
Speed and visual quality vary by model, settings, queue conditions, and the kind of image you request. A fast model is useful for exploration, while a higher-cost model may be better for a final product visual or detailed creative. Compare the same brief and change one variable at a time instead of treating one model as universally best.
What is the difference between text to image and image to image?
Text to image begins with a written description and gives the model no required source picture. Image to image begins with one or more accepted reference images and a prompt describing the desired transformation. Use text for open exploration and a reference when visual continuity matters.
Does every model have the same settings?
No. Image size or aspect ratio is part of the standard workflow, but output format, quality, web search, exact dimensions, and the number of reference images can differ by model. After choosing a model, use the settings shown on the page as the current list of supported options.
Can I switch modes without losing my unfinished work?
Yes. During the same visit, you can switch between text and reference modes without clearing the unfinished prompt, uploaded images, or selected settings in the other mode.
Where do I see generation progress and results?
After a task is submitted successfully, Workspace opens automatically. You can follow progress there, then preview or download the completed result. Finished images and videos also appear in My Works.
Should I change the model after one weak result?
Not immediately. First identify whether the problem is subject clarity, composition, reference quality, or an unsupported expectation. Revise one variable and compare. A model change is more useful after the brief itself is clear and the available settings have been reviewed.
Can this page remove a background?
The generative workflows can request changed scenes, but dedicated background removal is a different task with its own upload-and-result flow. Use the AI Background Remover when the goal is to isolate the foreground and produce a cut-out result before other creative work.
Is the same page suitable for video generation?
No. This route is the image hub. To create motion from text or a still frame, open the AI Video Tools. Keeping image and video intents separate makes the controls and guidance easier to understand.