Is the image to image AI free?

Eligible new TryH3 accounts receive welcome credits that can be used to try an image-to-image generation without adding a payment card. The service is credit-based rather than unlimited. The generate button shows the current request cost before submission, and the available welcome offer may vary.

How many reference images can I upload?

GPT Image 2 accepts up to 16 reference images in this workflow. Supported upload formats are JPEG, PNG and WebP, with a maximum file size of 20 MB each. You do not need to fill every slot; use only the references that contribute a clear subject, setting, composition or style.

How do I preserve a person, product or style?

Upload a clear, tightly framed reference and name the details that must stay consistent in the prompt. For a product, that may be silhouette, label placement and proportions. For a person, mention recognizable facial features, hair and clothing. Review results carefully because generative consistency is not a guarantee.

Is this an image to image AI with no restrictions?

No. TryH3 is not presented as an unrestricted generator. Uploads and prompts must follow the service’s usage rules, applicable law and the rights of other people. Only use images you are allowed to process, and review generated content before using it commercially or publishing it.

When should I use image to image instead of text to image?

Use image to image when you already have a subject, composition or visual language worth preserving. Use text to image when you want to begin from a written idea with no source asset. For a small edit to one region, use inpainting so the untouched area can be protected with a mask.

Image to Image

Upload up to 16 reference images, describe the transformation, and restyle, combine or recreate the shot with GPT Image 2, Nano Banana Pro, Seedream 5.0 Pro and more, in up to 4K.

Create images

GPT Image 2

Model

OpenAI gpt-image-2 — text to image, multi-reference editing and mask inpainting, up to 4K.

Reference images0/16

Prompt0/4000

Aspect ratio

Resolution

Prompt starter

Titanium eyewear study

16:9 composition

Prompt

A premium pair of brushed titanium sunglasses on a glossy black surface, dramatic rim light, crisp product photography, deep shadows, 16:9.

Image to image AI · Online generator

Image to Image Generator for Controlled AI Transformation

An image to image generator starts from visual evidence instead of asking a model to invent every detail from text. Upload a photo, illustration, sketch, product shot or previous AI result; explain what should change and what should remain recognizable; then GPT Image 2 creates a new image informed by those references. This makes the workflow useful when consistency matters more than surprise.

TryH3 accepts up to 16 reference images in one image-to-image request, with JPEG, PNG and WebP uploads up to 20 MB each. References can contribute a subject, material, palette, composition or style, while the prompt assigns a clear role to each one. You can then choose from 15 fixed aspect ratios plus Auto and render at 1K, 2K or 4K. The tool, results and supporting guide all live on this page, so iteration stays in one browser workspace.

Reference inputs: Up to 16 images
Output resolution: 1K, 2K or 4K
Accepted uploads: JPG, PNG or WebP

How to Use an AI Image Generator from Image References

The best image-to-image prompts divide responsibilities between the upload and the written direction. Let each reference show the model something that would be tedious to describe, then use the prompt to explain the intended transformation. Three steps are enough for a controlled first result.

1
Upload the clearest reference images
Choose clean files where the subject or style you want to preserve is easy to see. One strong reference is often better than several nearly identical images. When combining sources, use each file for a distinct purpose—for example, one for the product, one for the room and one for the color palette.
2
Say what changes and what stays
Write a direct instruction such as “keep the bottle shape and label layout, replace the studio background with a sunlit kitchen, and use warm editorial photography.” Naming protected details reduces ambiguity. Naming the desired change gives the model a job beyond simply copying the upload.
3
Match the output to its destination
Select the final aspect ratio before generating so the model composes for the real canvas rather than forcing a crop later. Use 1K for quick exploration and raise the output to 2K or 4K after the subject, framing and style are working. Review small identity details before publishing.

Image to Image AI Free for Restyling, Variations and Compositing

Image-to-image generation is most valuable when an existing visual is almost useful but not yet right for the job. The reference creates continuity; the prompt opens a controlled path to a new scene, treatment or combination.

Restyle a photo or illustration

Convert a sketch into a polished render, reinterpret a photo as an editorial illustration, or explore a new material and lighting treatment. State which shapes and identity cues must survive the style change.

Create product and character variations

Place the same product in a different environment, explore wardrobe or color options, or develop a character across several scenes. Reuse the same clear reference when continuity is more important than novelty.

Combine visual references

Use separate uploads for subject, environment, composition and palette, then explain their roles in the prompt. This is more controllable than asking the model to guess which parts of several images deserve priority.

How to Get Better Image-to-Image Results

Most disappointing results come from unclear priorities. The model can see every uploaded image, but it cannot know which feature you value unless the prompt says so. Use these checks before adding more references or making the instruction longer.

Crop around the useful information. A tightly framed product or face sends a cleaner identity signal than a distant subject surrounded by unrelated background details.
Give every reference one job. Explain “use image one for the person and image two for the lighting.” Without roles, multiple inputs can compete and produce an average of everything.
Protect identity with concrete language. Name the features that must remain unchanged: face, silhouette, logo placement, packaging proportions, garment details or a specific color relationship.
Align source and destination framing. A square close-up transformed into a wide banner requires the model to invent both sides. Provide a wider reference or explicitly describe what should fill that new space.
Use inpainting for a small local edit. If only one object or region needs to change, the dedicated inpainting tool gives a mask that protects the rest of the image more directly than a full-frame transformation.

What Makes the Best Image to Image Generator Online?

The best image to image generator is not the one that changes the picture most dramatically. It should follow the transformation, preserve the requested identity cues and give you enough control over references, canvas shape and resolution to reach a repeatable result. A clear cost before generation, durable result storage and useful failure handling matter too because image work usually takes more than one attempt.

TryH3 is built around that iterative workflow. It supports multi-reference direction instead of a single opaque strength slider, offers practical web and print-oriented canvas ratios, and keeps text-to-image, image-to-image and inpainting close together. Start with the simplest instruction that proves the idea, inspect what drifted, then add one preservation rule or reference only where it solves a visible problem.

Move Between Image, Inpainting and AI Video

A reference-based transformation can begin or end a larger workflow. Create a missing source with text to image, correct one region through inpainting, or carry the finished frame back to TryH3’s MiniMax H3 video generator when the concept needs motion. Direct internal links make each next step available without turning one overloaded tool into every workflow at once.

Free Text to Image AI GeneratorCreate an original source image from a prompt when you do not yet have the right reference to upload.InpaintPaint a mask over one area and regenerate that region while protecting the rest of the source image.MiniMax H3 AI Video GeneratorAnimate a finished image or direct a new AI video with MiniMax H3 and synchronized sound.

Image to Image Generator: Frequently Asked Questions

Is the image to image AI free?: Eligible new TryH3 accounts receive welcome credits that can be used to try an image-to-image generation without adding a payment card. The service is credit-based rather than unlimited. The generate button shows the current request cost before submission, and the available welcome offer may vary.
How many reference images can I upload?: GPT Image 2 accepts up to 16 reference images in this workflow. Supported upload formats are JPEG, PNG and WebP, with a maximum file size of 20 MB each. You do not need to fill every slot; use only the references that contribute a clear subject, setting, composition or style.
How do I preserve a person, product or style?: Upload a clear, tightly framed reference and name the details that must stay consistent in the prompt. For a product, that may be silhouette, label placement and proportions. For a person, mention recognizable facial features, hair and clothing. Review results carefully because generative consistency is not a guarantee.
Is this an image to image AI with no restrictions?: No. TryH3 is not presented as an unrestricted generator. Uploads and prompts must follow the service’s usage rules, applicable law and the rights of other people. Only use images you are allowed to process, and review generated content before using it commercially or publishing it.
When should I use image to image instead of text to image?: Use image to image when you already have a subject, composition or visual language worth preserving. Use text to image when you want to begin from a written idea with no source asset. For a small edit to one region, use inpainting so the untouched area can be protected with a mask.