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fix issue#16 #28

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10 changes: 8 additions & 2 deletions README.md
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Expand Up @@ -34,8 +34,14 @@
- [2024/10/15] 🔥 Video-XL is released, including model, training and evaluation code.

## Model weights
Please download our pre-trained and finetuned model weights from the [link](https://huggingface.co/sy1998/Video_XL/tree/main)

Please download our pre-trained and finetuned model weights from the [link](https://huggingface.co/sy1998/Video_XL/tree/main), and modify the model path in the demo code.
```bash
git lfs install
git clone https://huggingface.co/sy1998/Video_XL
git clone https://huggingface.co/openai/clip-vit-large-patch14-336
```


## Installation
```bash
conda create -n videoxl python=3.10 -y && conda activate videoxl
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5 changes: 3 additions & 2 deletions demo.py
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Expand Up @@ -8,13 +8,14 @@
# fix seed
torch.manual_seed(0)


# Please change the following paths to your own paths
model_path = "/share/junjie/shuyan/VideoXL_weight_8"
clip_path = "/share/junjie/shuyan/clip-vit-large-patch14-336"
video_path="/share/junjie/shuyan/test_demo/ad2_watch_15min.mp4"

max_frames_num =900 # you can change this to several thousands so long you GPU memory can handle it :)
gen_kwargs = {"do_sample": True, "temperature": 1, "top_p": None, "num_beams": 1, "use_cache": True, "max_new_tokens": 1024}
tokenizer, model, image_processor, _ = load_pretrained_model(model_path, None, "llava_qwen", device_map="cuda:0")
tokenizer, model, image_processor, _ = load_pretrained_model(model_path, None, "llava_qwen", device_map="cuda:0", mm_vision_tower=clip_path)

model.config.beacon_ratio=[8] # you can delete this line to realize random compression of {2,4,8} ratio

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