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Author SHA1 Message Date
Jeremy Jin-Young Kim
956d9d5bbf
Merge 76bceb2fe5 into ec902046f6 2025-06-03 19:55:05 +02:00
Shiwei Zhang
ec902046f6
Update README.md 2025-05-27 21:17:16 +08:00
root
76bceb2fe5 fix: enalbe prompt extend for flf2v 2025-05-02 05:10:43 +00:00
2 changed files with 2 additions and 2 deletions

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@ -36,7 +36,7 @@ In this repository, we present **Wan2.1**, a comprehensive and open suite of vid
## Community Works ## Community Works
If your work has improved **Wan2.1** and you would like more people to see it, please inform us. If your work has improved **Wan2.1** and you would like more people to see it, please inform us.
- [Phantom](https://github.com/Phantom-video/Phantom) has developed a unified video generation framework for single and multi-subject references based on **Wan2.1-T2V-1.3B**. Please refer to [their examples](https://github.com/Phantom-video/Phantom). - [Phantom](https://github.com/Phantom-video/Phantom) has developed a unified video generation framework for single and multi-subject references based on both **Wan2.1-T2V-1.3B** and **Wan2.1-T2V-14B**. Please refer to [their examples](https://github.com/Phantom-video/Phantom).
- [UniAnimate-DiT](https://github.com/ali-vilab/UniAnimate-DiT), based on **Wan2.1-14B-I2V**, has trained a Human image animation model and has open-sourced the inference and training code. Feel free to enjoy it! - [UniAnimate-DiT](https://github.com/ali-vilab/UniAnimate-DiT), based on **Wan2.1-14B-I2V**, has trained a Human image animation model and has open-sourced the inference and training code. Feel free to enjoy it!
- [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) enhances **Wan2.1** (covering both T2V and I2V models) from the perspective of CFG. - [CFG-Zero](https://github.com/WeichenFan/CFG-Zero-star) enhances **Wan2.1** (covering both T2V and I2V models) from the perspective of CFG.
- [TeaCache](https://github.com/ali-vilab/TeaCache) now supports **Wan2.1** acceleration, capable of increasing speed by approximately 2x. Feel free to give it a try! - [TeaCache](https://github.com/ali-vilab/TeaCache) now supports **Wan2.1** acceleration, capable of increasing speed by approximately 2x. Feel free to give it a try!

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@ -312,7 +312,7 @@ def generate(args):
elif args.prompt_extend_method == "local_qwen": elif args.prompt_extend_method == "local_qwen":
prompt_expander = QwenPromptExpander( prompt_expander = QwenPromptExpander(
model_name=args.prompt_extend_model, model_name=args.prompt_extend_model,
is_vl="i2v" in args.task, is_vl="i2v" in args.task or "flf2v" in args.task,
device=rank) device=rank)
else: else:
raise NotImplementedError( raise NotImplementedError(