Dreydrey9000 AI Avatar Creator
Build photorealistic, consistent AI avatars that can speak in videos. This skill guides users through a 6-step workflow using specific tools for each phase.
Tool Stack
| Step | Tool Options | Purpose |
|---|---|---|
| 1 | Higgsfield (recommended), Enhancor KORA, or any image generator | Base image creation |
| 2 | Enhancor NANO-BANANA or Higgsfield | Character variations |
| 3 | Higgsfield Soul ID | Character training |
| 4 | Higgsfield (Kling 2.1 Master) | Video generation |
| 5 | ElevenLabs | Voice synthesis |
| 6 | DreamFace | Lip sync |
Starting Point: Gather Requirements
Before building, ask these 5 questions:
- Role: What does this avatar do? (coach, spokesperson, influencer)
- Demographics: Age, gender, ethnicity, aesthetic style?
- Personality: How should they speak/behave? (casual, professional, energetic)
- Content formats: Reels, podcasts, GRWM, talking head?
- Reference: Any visual inspiration or reference images?
If user provides a reference image, analyze it to extract: age estimate, gender, ethnicity markers, hair style/color, skin tone, distinguishing features, and aesthetic style. Use these as the foundation.
Workflow Summary
Step 1 → Create ONE perfect base image (KORA/Higgsfield)
Step 2 → Generate 20+ variations (NANO-BANANA)
Step 3 → Train character model (Soul ID)
Step 4 → Animate image to video (Kling 2.1)
Step 5 → Generate voice audio (ElevenLabs)
Step 6 → Lip sync video + audio (DreamFace)
Total Time: ~2 hours for first avatar
Quality Checkpoints
Use these before proceeding to next step:
After Step 1 (Base Image)
- Frontal view, direct eye contact
- Natural imperfections visible
- Even, natural lighting
- Simple background
- High resolution
After Step 2 (Variations)
- 20+ usable images
- All match original character
- Mix of expressions, angles, settings
- No character drift
After Step 3 (Training)
- Test generation produces consistent character
- Features match across different prompts
- Quality comparable to training images
After Step 4 (Video)
- Smooth, natural movement
- No distortion or artifacts
- Character looks correct throughout
- Mouth movement visible and natural
After Step 5 (Voice)
- Natural pacing and rhythm
- Matches avatar personality
- Clear pronunciation
- No robotic artifacts
After Step 6 (Lip Sync)
- Lips match audio throughout
- No sync drift
- Professional quality output
Troubleshooting Guide
Step 5: Voice Creation Issues
Voice sounds robotic or monotone → Lower stability setting to 40-50%. Add proper punctuation for natural pauses. Choose different base voice.
Inconsistent pronunciation of words → Use phonetic spelling for difficult words. Add commas for natural speech rhythm. Test with shorter sentences.
Voice doesn't match avatar age/style → Test multiple voice options with same script. Consider target audience demographics. Match energy level to avatar.
Wrong emotional tone in delivery → Adjust script punctuation. Try different stability/clarity settings. Choose voice with appropriate baseline emotion.
Voice sounds too fast or too slow → Adjust speed slider (0.01 increments). Add periods and commas to control pacing. Use shorter sentences for faster delivery.
General Workflow Issues
Workflow taking too long → Batch similar operations. Generate multiple variations in one session. Keep quality high in early steps to reduce re-work.
Running out of credits → Prioritize quality over quantity. Reject bad outputs early. Use undistorted portions of videos when possible.
Character looks different across steps → This is cumulative drift. Go back to earliest problematic step and redo. Maintain strict quality standards at each checkpoint.
Final video doesn't look professional → Check each step's quality markers. Usually the issue traces back to base image quality or training data consistency.
Good Base Image
✅ Frontal view, direct eye contact ✅ Visible imperfections (pores, freckles, asymmetry) ✅ Natural daylight, even lighting ✅ Simple background ✅ High resolution
Bad Base Image
❌ Extreme angles ❌ Sunglasses or obscured face ❌ Harsh or uneven lighting ❌ Busy/distracting background ❌ Overly perfect "AI look"
Good Variation
✅ Features match original exactly ✅ Consistent skin tone and hair ✅ Clear, visible face ✅ Professional/appropriate for use case
Bad Variation
❌ Different hair color/style ❌ Inconsistent skin tone ❌ Different age appearance ❌ Face obscured or too far away
HeyGen API — Talking Photo Pipeline (Proven 2026-02-03)
Shortcut pipeline when you already have a base image + audio and just need the talking head video. Skips Steps 2-5.
API Endpoints
| Step | Endpoint | Method |
|---|---|---|
| Upload as Talking Photo | https://upload.heygen.com/v1/talking_photo |
POST (raw binary, Content-Type: image/jpeg) |
| Upload Audio | https://upload.heygen.com/v1/asset |
POST (raw binary, Content-Type: audio/mpeg) |
| Generate Video | https://api.heygen.com/v2/video/generate |
POST (JSON) |
| Check Status | https://api.heygen.com/v1/video_status.get?video_id=X |
GET |
Key: Upload Image as TALKING PHOTO, Not Regular Asset
Regular asset upload (/v1/asset) returns an id that does NOT work as a talking_photo_id. You MUST use the /v1/talking_photo endpoint which returns a proper talking_photo_id.
Watermark Removal
- API Free tier: Watermark on all videos. No parameter to remove it.
- API Pro ($99/mo): No watermark with
"test": false - Web UI workaround: If you have a paid platform plan (Creator+), upload image + audio manually in HeyGen web UI and toggle watermark off before generating.
HeyGen API Key
sk_V2_hgu_ktgAobLdFV4_R7sCHf1JE0DJYsG8UUp6YmPtHVs56nsC
Processing Time
~4 minutes for a 59-second talking photo video (polled every 10s, completed at ~240s).
Full Specification
Complete details, decision trees, protocols, and implementation specs: references/full-details.md