Instructions to use ackermannj/geoflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ackermannj/geoflow with PEFT:
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- Notebooks
- Google Colab
- Kaggle
| base_model: wan-ai/Wan2.1-T2V-1.3B-Diffusers | |
| library_name: peft | |
| pipeline_tag: text-to-video | |
| tags: | |
| - text-to-video | |
| - video-generation | |
| - diffusion | |
| - wan | |
| - lora | |
| - peft | |
| - geoflow | |
| # GeoFlow | |
| GeoFlow is a PEFT LoRA adapter for **Wan2.1-T2V-1.3B-Diffusers**. The adapter | |
| is trained for text-to-video generation with an emphasis on improved geometric | |
| and temporal consistency. | |
| This repository contains the released GeoFlow model weights. | |
| ## Release Status | |
| - [x] Model weights | |
| - [x] Inference code | |
| - [ ] Evaluation code | |
| - [ ] Reward model code | |
| ## Model Details | |
| | Field | Value | | |
| | --- | --- | | |
| | Model type | LoRA adapter | | |
| | Base model | `wan-ai/Wan2.1-T2V-1.3B-Diffusers` | | |
| | Framework | PEFT / Diffusers | | |
| | Checkpoint format | `safetensors` | | |
| | Adapter rank | `r = 32` | | |
| | LoRA alpha | `64` | | |
| | LoRA dropout | `0.0` | | |
| ## Adapter Targets | |
| GeoFlow adapts attention projection modules in the Wan transformer: | |
| ```text | |
| to_q, to_k, to_v, to_out.0, | |
| add_q_proj, add_k_proj, add_v_proj, to_add_out | |
| ``` | |
| ## Repository Files | |
| | File | Description | | |
| | --- | --- | | |
| | `adapter_model.safetensors` | GeoFlow LoRA weights | | |
| | `adapter_config.json` | PEFT adapter configuration | | |
| | `README.md` | Model card | | |
| ## Intended Use | |
| GeoFlow is intended for research use in text-to-video generation. It should be | |
| loaded as a LoRA adapter on top of the Wan2.1-T2V-1.3B Diffusers checkpoint. | |
| The released adapter can be used to sample videos from text prompts, compare | |
| geometry-aware video generation methods, and support reproducible evaluation | |
| once the eval and reward model code are released. | |
| ## Inference | |
| Reference inference code is available here: | |
| https://github.com/geometryflow/GeoFlow | |
| The adapter can also be downloaded directly: | |
| ```bash | |
| huggingface-cli download ackermannj/geoflow --local-dir checkpoints/geoflow | |
| ``` | |
| ## Limitations | |
| GeoFlow inherits limitations from the Wan2.1 base model. Generated videos may | |
| still contain artifacts, object distortions, temporal inconsistencies, incorrect | |
| motion, or prompt-following failures. Outputs should be reviewed before use in | |
| downstream applications. | |
| ## Citation | |
| Citation information will be added with the accompanying project release. | |