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| # cog-text2video | |
| A Cog implementation with txt2vid and vid2vid of: | |
| - https://huggingface.co/cerspense/zeroscope_v2_XL | |
| - https://huggingface.co/cerspense/zeroscope_v2_576w | |
| - https://huggingface.co/camenduru/potat1 | |
| Deployed at https://replicate.com/anotherjesse/zeroscope-v2-xl | |
| ## Shoutouts | |
| - [Text-To-Video-Finetuning](https://github.com/camenduru/Text-To-Video-Finetuning) - Finetune ModelScope's Text To Video model using Diffusers | |
| - [Showlab](https://github.com/showlab/Tune-A-Video) and bryandlee[https://github.com/bryandlee/Tune-A-Video] for their Tune-A-Video contribution that made this much easier. | |
| - [lucidrains](https://github.com/lucidrains) for their implementations around video diffusion. | |
| - [cloneofsimo](https://github.com/cloneofsimo) for their diffusers implementation of LoRA. | |
| - [kabachuha](https://github.com/kabachuha) for their conversion scripts, training ideas, and webui works. | |
| - [JCBrouwer](https://github.com/JCBrouwer) Inference implementations. | |
| - [sergiobr](https://github.com/sergiobr) Helpful ideas and bug fixes. | |
| - [cjwbw/damo-text-to-video](https://replicate.com/cjwbw/damo-text-to-video) for original [cog](https://github.com/replicate/cog) implementation | |