Wan2.2
LoRA
T2V-A14B
video
political
satire
gavin-newsom
huwhitememes
Meme King Studio
Green Frog Labs
Instructions to use huwhitememes/gavinnewsom_v1-wan2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use huwhitememes/gavinnewsom_v1-wan2.2 with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,376 Bytes
a9aa864 f4d1c61 7ce29bc f4d1c61 7ce29bc f4d1c61 d33218f 7ce29bc f4d1c61 7ce29bc d33218f a9aa864 f4d1c61 a9aa864 d33218f 7ce29bc f4d1c61 d33218f f4d1c61 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # 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](https://huggingface.co/huwhitememes) using the [fal-ai/wan-22-image-trainer](https://fal.ai/models/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
```text
G4vin N3wsom walking confidently through a dystopian city at sunset, wind blowing through his perfect hair, dramatic lens flare, cinematic orange tones, ultra-realistic
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