Instructions to use prithivMLmods/MiniMax-H3-Facial-Realism-CloseUp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
license: other
license_name: minimax-h3-community-license
license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE
base_model: MiniMaxAI/MiniMax-H3
language:
- en
pipeline_tag: image-text-to-video
tags:
- lora
- face-realism
- safetensors
- minimax
- minimax-h3
- h3
- video
- text-to-video
- video-generation
- portrait
- photorealistic
The Adapter/LoRA is experimental and may generate artifacts. The attached image in the corners of the video frame is the input provided for video generation. The results are generated using 4–6 steps with MiniMax-H3 [Fast] + MiniMax-H3-Facial-Realism-CloseUp (LoRA). Below are the example prompts used to generate the videos with respect to the image input.
prompts:
- "Facial Realism: A close-up portrait captures a young woman with wavy hair and captivating light eyes looking toward the camera. Her calm, poised expression softens as she breaks into a subtle, beautiful smile, accompanied by gentle blinks and delicate facial micro-movements. Soft, natural lighting enhances her authentic skin texture, fine pores, delicate facial contours, and the warm, genuine emotion radiating across her face."
- "Facial Realism: A dramatic close-up shot captures a young man with wavy dark hair and a patterned knit sweater under sharp, directional shadow-and-light patterns. Looking intently toward the camera, his expression shifts into visible anger as he tightly furrows his brow, clenches his jaw, and glares forward with tense facial muscles and piercing eyes. High-contrast chiaroscuro lighting emphasizes realistic skin texture, fine pores, subtle micro-movements, and the raw, intense frustration across his face."
- "Facial Realism: An intimate close-up portrait highlights a young woman with natural, flowing dark hair and striking, expressive eyes against a soft, softly lit background. She holds a steady, contemplative gaze into the camera lens with a calm, poised expression, accompanied by subtle blinks and delicate facial micro-movements. Gentle, natural lighting accentuates authentic skin texture, fine pores, delicate facial contours, and a soft, lifelike depth of field."
MiniMax-H3-Facial-Realism-CloseUp
MiniMax-H3-Facial-Realism-CloseUp is an experimental Human Face Realism LoRA adapter trained on the general-purpose multimodal model MiniMax H3. This LoRA is trained on a high-quality, human-centric face portrait dataset composed of video buckets featuring subtle facial details and micro-expressions.
All checkpoints are available here: https://huggingface.co/buckets/prithivMLmods/minimax-h3-facial-realism-closeup. It is recommended to use checkpoint 1800 or 2000.
Model Details
- Base Model: MiniMax H3
- Adapter Name:
minimax-h3-facial-realism-closeup - Created by: prithivMLmods
- Model Type: LoRA / Adapter
Training Specifications
| Parameter | Configuration |
|---|---|
| Resolution | Default 480x832 (dynamically adjusted based on packed video frames) |
| Save Precision | BF16 |
| Learning Rate | 1e-4 |
| Optimizer | AdamW |
| Network Dimension (Rank) | 16 |
| Total Steps | 2000 |
| Trigger Words | Facial Realism |
Sample Prompts
A curated selection of sample prompts can be found in the repository:
License
This adapter follows the MiniMax H3 Community License in accordance with the base model terms.