Zengtudor/Wan2.1
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Merge remote-tracking branch 'myfork/main'

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This commit is contained in:
Bakhtiyor Sulaymonov 2025-02-26 22:18:27 +05:00
commit 04bf7390fe
6 changed files with 15 additions and 5 deletions
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5
README.md
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@ -79,6 +79,11 @@ pip install "huggingface_hub[cli]"
huggingface-cli download Wan-AI/Wan2.1-T2V-14B --local-dir ./Wan2.1-T2V-14B
```
Download models using modelscope-cli:
```
pip install modelscope
modelscope download Wan-AI/Wan2.1-T2V-14B --local_dir ./Wan2.1-T2V-14B
```
#### Run Text-to-Video Generation
This repository supports two Text-to-Video models (1.3B and 14B) and two resolutions (480P and 720P). The parameters and configurations for these models are as follows:

3
gradio/i2v_14B_singleGPU.py
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@ -2,6 +2,7 @@
import argparse
import gc
import os.path as osp
import os
import sys
import warnings
@ -10,7 +11,7 @@ import gradio as gr
warnings.filterwarnings('ignore')
# Model
sys.path.insert(0, '/'.join(osp.realpath(__file__).split('/')[:-2]))
sys.path.insert(0, os.path.sep.join(osp.realpath(__file__).split(os.path.sep)[:-2]))
import wan
from wan.configs import MAX_AREA_CONFIGS, WAN_CONFIGS
from wan.utils.prompt_extend import DashScopePromptExpander, QwenPromptExpander

3
gradio/t2i_14B_singleGPU.py
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@ -1,6 +1,7 @@
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
import argparse
import os.path as osp
import os
import sys
import warnings
@ -9,7 +10,7 @@ import gradio as gr
warnings.filterwarnings('ignore')
# Model
sys.path.insert(0, '/'.join(osp.realpath(__file__).split('/')[:-2]))
sys.path.insert(0, os.path.sep.join(osp.realpath(__file__).split(os.path.sep)[:-2]))
import wan
from wan.configs import WAN_CONFIGS
from wan.utils.prompt_extend import DashScopePromptExpander, QwenPromptExpander

5
gradio/t2v_1.3B_singleGPU.py
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@ -1,6 +1,7 @@
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
import argparse
import os.path as osp
import os
import sys
import warnings
@ -9,7 +10,7 @@ import gradio as gr
warnings.filterwarnings('ignore')
# Model
sys.path.insert(0, '/'.join(osp.realpath(__file__).split('/')[:-2]))
sys.path.insert(0, os.path.sep.join(osp.realpath(__file__).split(os.path.sep)[:-2]))
import wan
from wan.configs import WAN_CONFIGS
from wan.utils.prompt_extend import DashScopePromptExpander, QwenPromptExpander
@ -45,7 +46,7 @@ def t2v_generation(txt2vid_prompt, resolution, sd_steps, guide_scale,
guide_scale=guide_scale,
n_prompt=n_prompt,
seed=seed,
offload_model=False)
offload_model=True)
cache_video(
tensor=video[None],

3
gradio/t2v_14B_singleGPU.py
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@ -1,6 +1,7 @@
# Copyright 2024-2025 The Alibaba Wan Team Authors. All rights reserved.
import argparse
import os.path as osp
import os
import sys
import warnings
@ -9,7 +10,7 @@ import gradio as gr
warnings.filterwarnings('ignore')
# Model
sys.path.insert(0, '/'.join(osp.realpath(__file__).split('/')[:-2]))
sys.path.insert(0, os.path.sep.join(osp.realpath(__file__).split(os.path.sep)[:-2]))
import wan
from wan.configs import WAN_CONFIGS
from wan.utils.prompt_extend import DashScopePromptExpander, QwenPromptExpander

1
wan/text2video.py
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@ -252,6 +252,7 @@ class WanT2V:
x0 = latents
if offload_model:
self.model.cpu()
torch.cuda.empty_cache()
if self.rank == 0:
videos = self.vae.decode(x0)