|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: TurboDiffusion/TurboWan2.1-T2V-14B-480P |
|
|
tags: |
|
|
- text-to-video |
|
|
- diffusion |
|
|
- video-generation |
|
|
- turbodiffusion |
|
|
- wan2.1 |
|
|
pipeline_tag: text-to-video |
|
|
--- |
|
|
|
|
|
convert TurboWan2.1-T2V-14B-480P(https://modelscope.cn/models/TurboDiffusion/TurboWan2.1-T2V-14B-480P/summary) to TurboWan2.1-T2V-14B-Diffusers |
|
|
convert script https://github.com/IPostYellow/TurboWan_to_Diffusers/blob/main/convert_turbowan_to_diffusers.py |
|
|
|
|
|
To use in sglang<br> |
|
|
bash server: |
|
|
```bash |
|
|
sglang serve \ |
|
|
--model-path /path/TurboWan2.1-T2V-14B-Diffusers \ |
|
|
--dit-cpu-offload false \ |
|
|
--text-encoder-cpu-offload false \ |
|
|
--image-encoder-cpu-offload false \ |
|
|
--vae-cpu-offload false \ |
|
|
--pin-cpu-memory false \ |
|
|
--num-gpus 1 |
|
|
``` |
|
|
|
|
|
send request: |
|
|
```python |
|
|
import requests |
|
|
prompt="A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about." |
|
|
headers = { |
|
|
"Content-Type": "application/json", |
|
|
} |
|
|
requests.post("http://localhost:3000/v1/videos",headers=headers,json={'prompt': prompt, 'size': '832x480','num_inference_steps':4,'fps':16,'num_frames':81,'negative_prompt':None,'seed':0,}) |
|
|
``` |
