Gavin Newsom LoRA for Wan2.2 (T2V-A14B)
This is a custom-trained LoRA (Low-Rank Adapter) for Wan2.2 T2V-A14B, fine-tuned on 24 high-resolution, face-centered, curated images of Gavin Newsom. Designed for generative video models, it supports cinematic, political, and meme-style image outputs. Trained by @huwhitememes using the fal-ai/wan-22-image-trainer.
🔧 Use Cases
- Political memes and satire
- Cinematic shitpost visuals
- Social media propaganda visuals
🧪 Training Details
- Base Model: fal-ai/wan2.2
- Steps: 1000
- LoRA Rank: Auto
- Learning Rate: 0.0007
- GPU: Nvidia H100 (Fal Managed Infra)
- Image Count: 24 (upscaled, face-centered, curated)
- Trigger Phrase:
G4vin N3wsom(recommended in prompt)
⚠️ Legal & Fair Use
This model was trained on public photos of a well-known public figure. It is intended for creative expression, satire, parody, education, and research. Please use responsibly and in accordance with your platform’s content guidelines and applicable laws.
🧪 Example Usage Prompt
G4vin N3wsom walking confidently through a dystopian city at sunset, wind blowing through his perfect hair, dramatic lens flare, cinematic orange tones, ultra-realistic