AI Face in Hole Generator for Planning a Scene

1. Upload a portrait

Choose a PNG or JPEG with one clearly visible face. The portrait is the identity reference, so keep eyes, nose, mouth, and facial outline easy to see. Avoid screenshots of comparison panels: the tool needs your own portrait, rather than a collage showing several people. Upload a photograph you have permission to edit.

2. Select the scene

Use the arrows to browse available templates, with three choices shown together. Select a scene with an empty face hole, or upload your own cutout template. The scene supplies the body, outfit, props, and background. A similar head angle in both pictures gives the model a clearer starting point.

3. Prepare and generate

Select Prepare face and template. This prepares the two references together and includes instructions to fill the hole. Add optional details, review the available model and credit quote, and submit when ready. Template selection and reference preparation do not submit a paid generation.

4. Inspect the result

Open Your results and history after the task finishes. Review likeness, face scale, the edge of the opening, and the direction of the light before downloading or sharing. AI editing can reinterpret the scene, so a recognizable face and an unchanged background are goals to check, rather than guarantees.

A useful scene reference gives you more than a costume. It shows where the person stands, which direction they face, and how the surrounding space supports the moment. Choose a template with a readable body pose and enough visible environment to understand the scene. A close portrait may be useful for expression, while a wider image can help establish a location. Decide which question the still needs to answer before filling its face opening. The carousel lets you compare different starting compositions without changing your portrait. For an initial reference, one clear subject is easier to evaluate than several characters whose positions and interactions all compete for attention in the same frame.

The body and gesture come from the template, while the portrait is intended to guide the face. Those references can disagree if the head angles are very different. Compare them before preparation: look at the chin direction, the ear visibility, and how much forehead appears in each picture. A compatible portrait helps you assess identity without also troubleshooting a major pose mismatch. Do not assume that a convincing body makes the face accurate. Review the result against your source photograph, especially around the eyes and facial outline. If your goal is a recognizable person, those details may matter more than extra atmosphere or a visually impressive background.

Optional directions work best when they reinforce the selected scene. You might ask for soft light on the face to match the window, or for a natural blend beneath an existing hat. The hole-filling instruction is already supplied by the tool, so repeating a long description of the entire character can obscure your intended refinement. Avoid asking for motion in an image-editing request. Instead, choose a still pose that suggests the action you have in mind. If the composition does not support that action, replace the template. A new scene reference is a clearer starting point than asking the model to preserve the layout while simultaneously rebuilding its most important elements.

After generation, save the still you prefer and note why it works: the head placement, the gaze direction, or the balance between subject and background. Compare the selected output with the cutout to see whether important props changed. These notes help you distinguish an intentional choice from an accidental model variation. This page does not automatically turn the edited still into a moving sequence, and a later tool may interpret it differently. Treat the face-hole result as a reference whose strengths and weaknesses you understand. If continuity is important to the next project, keep the original portrait and template available so you can judge subsequent images against the same sources.