Create consistent characters with AI — the same face, clothing, and visual style, held steady across every image and every scene.
Generating a single AI image is easy. Generating the same character again — in a different pose, setting, or scene — while keeping their face, proportions, clothing, and defining features identical is much harder. Most AI image and video models treat each generation independently, so appearance can drift from one output to the next. Character consistency closes that gap: it is the difference between disconnected images that share a description, and a character that reads as the same person across an entire piece of content.
AI image and video models generate each output based on a prompt, not a persistent memory of who a character is. Without something anchoring identity across generations, small variations compound — a slightly rounder jaw here, a different shirt color there — and viewers notice. Inconsistent characters are one of the most reliable signals of low production quality in AI-generated content, which is exactly why solving it matters for anything beyond a single image.
Start with one or more clear, well-lit reference images of your character — front-facing when possible, with the face clearly visible.
Place the same character in new poses, settings, and compositions. CrePal anchors facial features, proportions, and defining traits so identity stays locked.
Use the same identity lock across video creator scenes or image to video clips, without re-establishing appearance from scratch in every shot.
Upload one or more clear reference images of your character, and CrePal's AI Director uses them to anchor facial features, proportions, and defining visual traits across every new generation — a new pose, scene, or video clip.
Once identity is locked, place the character in new poses, settings, and compositions — different outfit, location, or camera angle — while face and core identity stay the same.
The same identity-locking extends into CrePal's video generation. A character built once can appear across multiple scenes in a video creator project or be animated with image to video AI.
A recurring character across a content series — social episodes, story chapters, or a running bit — depends on consistency for viewers to recognize them from one post to the next.
A branded AI character or spokesperson needs to look the same across every piece of content. Inconsistency reads as unprofessional and undermines recognition.
Any narrative that spans more than one shot — a short film, story-driven ad, or multi-scene explainer — needs characters to hold together visually from scene to scene.
The same techniques that keep a character stable also keep a product's appearance consistent across generated scenes — useful for campaigns that need the same product in many contexts.
A few clear, well-lit reference images from different angles anchor appearance far more reliably than a single photo. Investing time in a good reference set pays off across every generation that follows.
When prompting new scenes, explicitly note which details need to stay consistent — facial features, hairstyle, outfit — and which are free to change, like background, lighting, or pose.
Establish a character's reference identity before scripting a multi-scene project, rather than mid-production, to avoid retrofitting consistency onto scenes generated independently.
Start with one or more clear reference images of your character — front-facing, well-lit, with the face clearly visible. CrePal uses these references to anchor the character's identity across every new generation, whether that's a new pose, scene, or video clip built with the video creator.
Yes. Character consistency isn't limited to still images — once a character's identity is established, it carries into video generation as well, so the same character can appear across multiple scenes or clips without losing defining features.
A single reference image can work as a starting point, but multiple images from different angles and expressions — five to ten is a strong range — anchor identity more reliably, especially across a wider range of poses and scenes.
Yes. Consistency applies to identity — face, proportions, and defining features — while outfit, setting, lighting, and pose can all change freely. Describe the new context in your prompt while keeping the character reference in place.
Yes. The same reference-based approach can keep a product's appearance consistent across multiple generated scenes and compositions — useful for campaigns that need the same product shown in different contexts.
Yes. Text description alone still leaves room for the AI to interpret details differently each time. A reference-based approach anchors exact facial proportions and fine visual detail, producing more reliable consistency than text alone.
Upload a reference image. Keep the same face, outfit, and identity across every generation that follows.
