Img2Img workflow guide

Make Img2Img Changes You Can Direct

Start with an image, name what must remain recognizable, and describe the exact change. This practical Img2Img guide combines a working generator with prompts, settings, examples, and fixes you can use on the next result.

  • Begin with a visual anchor
  • Direct one concrete change
  • Compare before you publish
Source portrait of a young woman against a colorful geometric wall
Img2Img result preserving the portrait pose in a polished graphic illustration style
The subject and framing stay recognizable while material, color, finish, and background treatment change.

Working generator

Try the Img2Img Workflow

Upload a source you own or may use, describe what should stay and what should change, then choose an available model and generation settings. The tool keeps the workflow beside the guide so you can apply each idea immediately.

Transformation studio

PNG, JPEG or WebP, up to 10 MB

Upload image0 of 1 images

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Credits shown before you generate

Free tier1024 × 1024 · 1K · 1 image

Add at least one source image.

Generated result

Definition and practical limits

What is Img2Img?

Img2Img is image-to-image generation: an existing image provides the visual starting point, while a prompt and model settings direct what should change.

It is useful for restyling portraits, developing sketches, placing products in new scenes, and exploring variations while keeping selected visual anchors recognizable.

Accepted source formats
3 formats: PNG, JPEG, and WebP
Maximum upload size
10 MB per source image
Maximum image edge
8,192 pixels

Reviewed byImg2Img product team

PublishedUpdated

Product informationAbout Img2ImgContact

Official referencesOpenAI image generation guideGoogle Gemini image generation guide

A repeatable process

How Img2Img Works

Img2Img is most useful when you treat the source as evidence, not decoration. Give the model a clear visual anchor, direct a specific change, and review whether the result preserved the details that matter.

  1. Upload a readable source

    Choose a clear photo, product shot, sketch, illustration, or previous AI result. A readable subject and intentional framing give the model a stronger starting point.

  2. Name what stays

    State the subject, identity, pose, silhouette, camera angle, layout, logo placement, or other visual anchor that must remain recognizable.

  3. Describe the change

    Specify a concrete new setting, material, lighting treatment, palette, medium, or mood. One coherent direction is easier to judge than a list of unrelated ideas.

  4. Compare and revise

    Check the output beside the source. Review identity, anatomy, text, logos, proportions, and product details, then revise the smallest instruction that caused the miss.

Control the output

Choose Img2Img Settings With Intent

Settings should support the job you are doing. Start with the source ratio when composition matters, use one output while refining the prompt, and move to higher-quality or additional outputs only after the direction is working.

Available ratios, output counts, quality levels, and credit costs depend on the selected model. The free model shows the full GPT Image 2 settings catalog; only its supported settings remain selectable, while unavailable choices are visible but disabled.

Model

Choose a model for the kind of change you need. A fast free model is useful for testing direction; credit models may provide different style control, fidelity, speed, or output options.

Aspect ratio

Match the source ratio when preserving framing is important. Change the ratio only when the new crop is part of the brief, and expect the model to reinterpret space near the edges.

Output count

Generate one image while fixing the prompt. Multiple outputs are useful after the instruction is stable because they let you compare variations without changing the brief.

Quality and cost

Use low-cost previews to test composition and direction. Increase quality for final detail only after the source, prompt, model, and ratio are producing the right result.

Prompt structure

Write Img2Img Prompts That Are Easy to Judge

A useful Img2Img prompt separates the visual anchor from the requested change. This makes the result easier to review and gives you a clear sentence to revise when the model moves too far or not far enough.

Preserve

Name the subject, identity, pose, silhouette, product shape, room layout, or camera angle that must stay recognizable.

Change

Describe the new environment, lighting, material, wardrobe, palette, medium, or treatment in concrete visual terms.

Style

Add a coherent visual direction such as editorial photography, handcrafted clay, graphic novel ink, or warm architectural rendering.

Check

State constraints worth reviewing: keep facial identity, preserve label placement, retain window positions, or avoid changing the camera angle.

Product image

Build a campaign scene

Keep the package shape, label placement, logo, and front camera angle recognizable. Place the product in a bright editorial studio with warm side light, tactile fabric, and a bold seasonal color story.

Use this prompt
Portrait

Change the treatment

Keep the face, expression, pose, hairstyle, and crop recognizable. Restyle the portrait as a polished contemporary anime illustration with clean linework, vivid color blocks, and natural skin detail.

Use this prompt
Sketch or character

Develop an unfinished idea

Preserve the character silhouette, horns, flower, staff, outfit, and front-facing pose. Develop the sketch into a warm, detailed fantasy illustration with soft forest light and handcrafted texture.

Use this prompt

Troubleshooting

Fix Common Img2Img Results

Do not rewrite everything after a weak result. Identify whether the miss came from the anchor, requested change, framing, or fine details, then adjust that part of the instruction.

The subject no longer looks recognizable

Repeat the visual anchor near the start of the prompt. Name identity, pose, silhouette, or product features precisely, and reduce change strength when the selected model exposes that control.

The result barely changes

Replace broad words such as “better” or “creative” with visible choices for light, material, setting, palette, or medium. Ask for one stronger direction instead of several mild ones.

The composition drifts

Restate camera angle, crop, subject position, and layout. Use an aspect ratio close to the source unless a new composition is intentional.

Hands, text, logos, or details are wrong

Treat these as review points, not guaranteed outputs. Regenerate or revise with the exact detail named, compare at full size, and verify brand assets and text before publishing.

Judge visible change

What a Useful Img2Img Comparison Shows

Strong examples make both preservation and transformation visible. The source should still explain the result, while the new image clearly earns its difference in setting, medium, material, or mood.

Original illustration of a woman in a wide-brimmed hat and white lace cardigan
Img2Img output of the same woman with refined anime linework and fabric texture

Tested in this workspace · September 29, 2026

One source image, one focused style change

We ran this source image through the free Img2Img model with the exact instruction below. Compare the hat, hair, pose, and lace cardigan before looking at the new linework and fabric detail.

Model
GPT Image 2 (Free)
Settings
1:1 · 1024×1024 · Low quality · 1 image

Exact prompt used

Keep the woman's short brown hair, wide-brimmed hat, white lace cardigan, pose, framing, and warm background recognizable. Refine this image into a polished hand-painted anime illustration with clean linework, natural facial proportions, soft warm light, and detailed fabric texture. Do not add or remove objects.

In this result, the main subject and framing stay recognizable; the face and clothing details were reinterpreted. Review those details against your own source before using a result.

This is one successful run, not a guarantee that later generations will match it exactly.

Before and after Img2Img comparison combining three separate portraits into one retro party scene

Multi-reference portrait fusion into one scene

Three separate portraits from different locations are combined into a single cohesive party photo while keeping each person's facial identity and expression recognizable.

Before and after Img2Img portrait changing a photo into manga-style artwork

Portrait photo to illustrated style

The face, pose, and framing remain easy to compare while linework, color, texture, and background language move into a new style.

Supported AI Image Models

Switch Between Flagship Image-to-Image Models

Compare Google DeepMind, OpenAI, Alibaba Qwen, ByteDance Seedream, Black Forest Labs Flux, and xAI Grok models in one unified image-to-image workspace.

Compare all AI models
Nano Banana 2.1 — Blend up to 14 references with consistent faces and products, edit with natural language, and render clear in-image text up to 4K.
Next-Gen Fusion · In-Image Text

Nano Banana 2.1

4K · Multi-Ref & Text

Blend up to 14 references with consistent faces and products, edit with natural language, and render clear in-image text up to 4K.

Nano Banana 2 — Combine up to 14 reference portraits, outfits, and scene elements into one coherent photo with strong character identity.
Multi-Reference Fusion · Up to 14 Images

Nano Banana 2

1K–4K · Multi-Image

Combine up to 14 reference portraits, outfits, and scene elements into one coherent photo with strong character identity.

GPT Image 2.5 — Execute complex multi-part text instructions, commercial product staging, and realistic studio relighting.
Flagship Prompt Precision · Free Daily Tier

GPT Image 2.5

Free Daily · High Fidelity

Execute complex multi-part text instructions, commercial product staging, and realistic studio relighting.

Qwen Image Edit — Targeted background replacement, object removal, and bilingual text editing while preserving untouched pixels.
Semantic Local Editing · Bilingual Text

Qwen Image Edit

Up to 3 Refs · Semantic Edit

Targeted background replacement, object removal, and bilingual text editing while preserving untouched pixels.

Seedream 5.0 — Editorial portrait lighting, skin micro-texture, and stylized anime or 3D artwork up to 4096×4096 resolution.
Ultra-HD Aesthetics · Up to 4K Output

Seedream 5.0

2K / 4K · Editorial Aesthetics

Editorial portrait lighting, skin micro-texture, and stylized anime or 3D artwork up to 4096×4096 resolution.

Flux Kontext — Context-aware image editing built to keep product geometry, faces, and packaging typography consistent across scene variations.
Context-Aware Lock · Structure & Typography

Flux Kontext

Structure Lock · Fast Iteration

Context-aware image editing built to keep product geometry, faces, and packaging typography consistent across scene variations.

Grok Imagine AI — Bold cinematic restyling, dramatic lighting shifts, and multi-reference creative concept variations.
Creative Restyling · Multi-Angle Variations

Grok Imagine AI

Multi-Output · Creative Concepts

Bold cinematic restyling, dramatic lighting shifts, and multi-reference creative concept variations.

Img2Img questions

Answers Before You Generate

The practical details users need when choosing a source, writing a prompt, and reviewing an Img2Img result.

What does Img2Img mean, and is it the same as photo to photo AI or pic to pic AI?

Img2Img is short for image-to-image generation—also searched as photo to photo AI, pic to pic AI, upload image AI generator, or AI image from image. An existing image provides the visual starting point, while a prompt and model settings direct a new result. The source can guide subject identity, pose, shape, composition, color, or other visual evidence.

How is Img2Img different from text-to-image?

Text-to-image starts from words alone. Img2Img starts from both an image and an instruction, so it is better suited to restyling, concept variations, sketch development, product scenes, and edits where some visual structure should remain recognizable.

What should an Img2Img prompt include?

Name what should stay, describe the concrete change, add one coherent style or treatment, and list the details you will review. Avoid vague requests and conflicting styles. A focused prompt is easier to compare against the source and easier to revise.

Will Img2Img preserve the original exactly?

No generative model guarantees an exact copy. A clear source and precise anchor improve continuity, but you should still review identity, anatomy, text, logos, proportions, and product details. Use deterministic editing tools when exact pixel-level preservation is required.

Can I try the Img2Img generator for free without signing in?

Try GPT Image 2 (Free) once daily without signing up. Use credits for more images. Other models and advanced settings require VIP access.

Can I use an Img2Img result commercially?

Commercial use depends on your rights to the source, the selected model terms, and the final content. Use images you own or may use, review brand assets and third-party rights, and confirm the applicable model and product terms before publishing.

Start with the source

Put the Img2Img Workflow Into Practice

Upload one clear image, write one focused change, and compare the result against the visual anchor you chose to preserve.

Try Img2Img free