Create AI-Generated “Beauty Chef” Videos That Go Viral (100K+ Views Every Time)
The content creation landscape has become fiercely competitive across all niches—even AI-generated beauty content. While previous articles explored AI influencers, the new frontier is “Beauty Chef” videos. Forget basic dance clips: imagine glamorous hosts in stylish outfits cooking while racking up millions of views.
This formula thrives on contrast—luxurious aesthetics meets everyday cooking—and AI tools make it accessible to anyone. Here’s your blueprint to create viral “AI Chef” content:
The 4-Step Production Pipeline
- Model Selection – Build visual consistency
- Prompt Engineering – Craft cinematic scenarios
- Image Generation – Iterate for perfection
- Video Synthesis & Editing – Bring static images to life
1. Model Selection: Engineering Visual Consistency
For superior culinary realism, Stable Diffusion outperforms alternatives like Jiyun Dream or Kling. Use Xingliu AI (https://www.xingliu.art/)—a curated SD platform with optimized workflows.
Base Model: ・Flux Model (Default settings) – Balances photorealism and artistic flair
LoRA Add-ons: ・Face Model: Search “face” in LoRA library for hyper-realistic features
・Ambience Model: “Natural Photography Style” for kitchen lighting
・Detail Enhancer: “Light-Shadow Optimization” for texture depth
Pro Tip: Limit to 3 LoRAs (face + ambience + details) to avoid model collapse.
2. Prompt Engineering: Directing AI Cinematography
Structure prompts like a film director:
(Close up setting: 1.0),
(Character in middle shot: 1.0),
(Head-up camera angle: 1.0),
23-year-old Chinese woman, long glossy black hair, curved eyebrows, bright eyes, fair skin.
Outfit: Black sleeveless cheongsam with intricate patterns, sheer collar detailing, white apron.
Action: [Customize: holding meat / chopping / stir-frying / plating]
Environment: Modern kitchen with light-toned tiles, cabinets, visible utensils. Rotate through 4 key shots: Ingredient Prep → Cooking Action → Plating → Final Presentation
3. Image Generation: From Concepts to Frames
Set LoRA weights:
・Face Model: 0.8
・Ambience/Details: 0.4-0.6
Generate multiple batches, refining prompts until achieving:
・Natural hand-object interactions
・Consistent lighting across frames
・Appetizing food textures
Save 4-6 best images per scene for video sequencing.
4. Video Synthesis & Editing: The Final Touch
Tool Recommendation: Kling AI – Superior motion coherence for cooking actions
Cost Efficiency: ・20 credits/video (Standard Mode)
・Daily free 66 credits = 3+ videos/day with 2 accounts
Post-Production:
- Add ASMR cooking sound effects (sizzling, chopping)
- Overlay trending background music
- Insert dynamic captions (“Wait until the final reveal!”)
- Apply seamless transitions
Beyond Basics: Advanced Viral Triggers
・Side/Back Views: Create intrigue through partial reveals
・Ingredient Close-Ups: Trigger ASMR cravings
・“Accidental” Moments: Spilled sauce, steam effects
The real magic lies in contrast—pair AI’s flawless aesthetics with intentionally “imperfect” human touches. While platforms like Douyin see 100K+ views daily, remember: consistency and weekly format innovations keep audiences hooked.
Final Note: As AI beauty saturation grows, culinary storytelling offers fresh viral potential—but act fast before this niche too becomes overcrowded.