How to Make an AI Clone of Yourself (Complete 2026 Guide)

An AI clone of yourself is a personalized generative model trained on photos of you. Once trained, you can use it to generate new images and videos of yourself in any scene — editorial portraits, lifestyle shots, meme edits, product photos — from nothing but a text prompt. This guide walks through the exact process for building one from scratch in under three minutes.

What is an AI clone, exactly?

An AI clone is a trained identity model that encodes your facial features and body shape into a format the image generator can reference during every subsequent generation. It is not a single image filter — it is a persistent model you can reuse hundreds of times. Tools like CloneGen use identity- preserving diffusion pipelines that take your reference photos as input on every generation, which means your identity stays consistent across prompts, outfits, scenes, and even video frames.

Two things to know up front: (1) the output is only as good as the input, so the three photos you upload matter more than anything else in the workflow, and (2) the trained model is private — in a well-designed platform like CloneGen, your uploads are never added to a public training dataset and never used to train anyone else's model.

The three photos you need

The minimum viable training set is three photos: one close-up of the face, one portrait (head and shoulders), and one full-body shot. This covers all three reference distances the identity model needs to lock onto the right features.

• Close-up (face): Eyes looking at the camera, neutral or natural expression, even lighting, no sunglasses, no hat, no heavy filters. The pixel density here determines how well the model captures your facial structure. Aim for at least 1024×1024.
• Portrait (head and shoulders): Slight angle is fine, but keep the whole face visible. This photo teaches the model your neck, shoulder line, hair volume, and common facial angle.
• Full-body: Head-to-toe framing, standing naturally. This teaches the model your body proportions, height ratio, and typical posture. Athleisure or fitted clothing works better than loose outfits.

Avoid group photos, heavily edited shots, photos through glass, extreme angles, and anything where your face is partially obscured. Those will train artifacts into the model that show up in every subsequent generation.

Step 1 — Upload your photos

On CloneGen, the upload flow is a single drag-and-drop zone that accepts your three photos in one shot. Each slot is labeled with its expected photo type (close-up, portrait, full-body) so you can drop the right file into the right slot. Supported formats are JPG, PNG, and WebP up to 100 MB per file. If your photo is a .MOV or a heic file from an iPhone, use the free file converter to turn it into a .MP4 or .JPG first.

After upload, CloneGen kicks off the model-building pipeline in the background. You can close the tab at this point — the pipeline runs server-side and the model will be ready next time you open the app. Expect 2-3 minutes for the initial build.

Step 2 — Run your first generation

Once the model is ready, you have three generation modes to choose from:

1. Prompt to Image — write a text prompt and get back a new photo of you in that scene. Example: "photo of me in a black leather jacket on a rooftop at sunset, cinematic lighting, 35mm film". Good for brand-new scenes where you know what you want but do not have a reference.
2. Identity Recreation— drop a reference image (any meme, photo, or scene you like) and the model re-renders it with your face replacing whoever was in the original. Good when you have a specific visual reference and want to "be in it".
3. Video Recreate / Prompt to Video — same two modes as images, but the output is a video clip. Either prompt-driven or reference-video-driven.

What if you don't have photos you're happy with?

CloneGen also supports generated models: instead of uploading photos, you pick visual traits (age, hair style and color, eye color, body type, height, style preferences) and the platform generates a consistent set of three AI-portrait photos that become your identity model. The rest of the workflow is identical — same generation modes, same model routing, same quality ceiling. This is useful if you want an avatar rather than a literal clone, or if you are building content for a brand persona that is not a real person.

Common mistakes and how to avoid them

• Using old photos of yourself. The model locks onto the face you give it — if the photos are from 5 years ago, your AI clone will look 5 years younger. Use recent shots.
• Inconsistent angles. If the close-up is straight-on and the portrait is a dramatic side angle, the model has less data to infer the middle. Aim for similar angles across all three photos.
• Heavy filters or makeup. The model will treat the filter as part of your permanent appearance. If you normally do not wear heavy makeup, do not train on photos where you are wearing heavy makeup — it will apply every time.

Next steps

Creating the model is the easy part — the skill is in prompting. Once you have your AI clone live, browse the tutorials for prompt-engineering tips specific to identity models, or jump straight to the pricing page to see how far the free sign-up credits will take you before you need to subscribe.