TO KEEP THE ORIGINAL FACES IN AI GENERATOR

TO KEEP THE FACES IN AI GENERATOR To keep your face unchanged across AI images, prompt engineering must be combined with a "system" approach—using a consistent reference image and specific behavioral cues that tell the AI not to alter the face. A good prompt alone is rarely enough; the key is to lock the character identity, then change only the environmental factors. 

Here are the best prompts and techniques to maintain face consistency: 

1. The "Identity Lock" Prompt Technique 

Add these phrases directly after the scene description to anchor the AI to the reference photo: 

• "Maintain the exact facial proportions, bone structure, eye shape, nose shape, jawline, and skin tone from the uploaded reference photo, do not AI-alter it".
• "Keep the face from the reference image 100% unchanged. Only modify [hair/clothing/background]". 
• "This is a faithful photographic reproduction of the same person, not a reinterpretation". 
• "Preserve original facial features, facial symmetry, and natural skin texture". 

2. Master Base Prompt Structure (The "System") 

Do not start from scratch every time. Build a "master prompt" that can be duplicated for every new generation. 

"[Image Reference] + [Describe Your Face: e.g., '30yo South Asian woman, sharp jawline, almond eyes'] + [Lighting] + [Style] + Maintain the exact facial structure and identity from the reference image, do not alter facial features or skin texture. + [New Scene/Outfit Description]" 

3. Key Behavioral Cues to Stop Face Drifting 

• Be explicit about no changes. Use negatives like "no facial reshaping," "no beauty filters," "no altering eye shape". 
• Specify micro-details. Ask for "natural skin texture, visible pores, and subtle facial lines" to prevent the AI from creating an unrealistic version. 
• Use "identity wording." Use phrases like "returning character" or "consistent facial identity". 

4. Technical Best Practices (Tool-Specific) 

• Midjourney: Use the --cref (Character Reference) parameter. 
• Prompt: /imagine prompt: [new scene] --cref [URL of your reference face] --cw 100. A --cw (character weight) of 100 keeps clothes and face, while 0 focuses on just the face. 
• Stable Diffusion: Use ControlNet with the IP-Adapter-Plus-Face model. This is the most reliable method for matching faces in Stable Diffusion. 
• Gemini/ChatGPT: Stay in the same chat thread, upload a clear, front-facing, unfiltered photo, and tell it: "Use my uploaded image, keeping my exact real face, skin tone, hairstyle, and facial features unchanged". 
• Best Reference Photo: Use a clear, high-resolution, front-facing, neutral-light photo with a neutral expression.

5. Negative Prompts (What to avoid) 

Include these in the negative prompt box to stop mutations: 

"different face, distorted facial features, warped, altered face, plastic skin, smoothed, airbrushed, different hair, extra features" 

Summary Formula: 

[Reference Image] + [Specific Face Description] + [Detailed Scene] + [Photo Style] + [Identity Lock Phrases] 

C&P

14/3/2026: 5.14 P.M