Instructions to use prithivMLmods/MiniMax-H3-Rough-2D-Cartoon-Illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
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MiniMax-H3-Rough-2D-Cartoon-Illustration
MiniMax-H3-Rough-2D-Cartoon-Illustration is an experimental 2D cartoon illustration LoRA adapter trained on the general-purpose multimodal model MiniMax H3. This LoRA is trained on a high-quality, video-based dataset featuring free-flow motion illustrations, rough 2D cartoon styles, and dynamic visual movements.
The Adapter/LoRA is experimental and may generate artifacts.
All checkpoints are available here: https://huggingface.co/buckets/prithivMLmods/minimax-h3-rough-2d-cartoon-illustration. It is recommended to use checkpoint 1000 / 1200.
Model Details
- Base Model: MiniMax H3
- Adapter Name:
minimax-h3-rough-2d-cartoon-illustration - 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 | 1200 |
| Trigger Words | rough 2D cartoon illustration |
Dataset
This adapter is trained on high-quality, video-based data featuring free-flow motion illustrations and rough 2D cartoon visuals.
Data Source: Pexels Videos
License
This adapter follows the MiniMax H3 Community License in accordance with the base model terms.
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Model tree for prithivMLmods/MiniMax-H3-Rough-2D-Cartoon-Illustration
Base model
MiniMaxAI/MiniMax-H3