46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import time
|
|
import torch
|
|
|
|
from cogvideox.api.api import infer_forward_api, update_diffusion_transformer_api, update_edition_api
|
|
from cogvideox.ui.ui import ui_modelscope, ui_eas, ui
|
|
|
|
if __name__ == "__main__":
|
|
# Choose the ui mode
|
|
ui_mode = "normal"
|
|
|
|
# Low gpu memory mode, this is used when the GPU memory is under 16GB
|
|
low_gpu_memory_mode = False
|
|
# Use torch.float16 if GPU does not support torch.bfloat16
|
|
# ome graphics cards, such as v100, 2080ti, do not support torch.bfloat16
|
|
weight_dtype = torch.bfloat16
|
|
|
|
# Server ip
|
|
server_name = "0.0.0.0"
|
|
server_port = 7860
|
|
|
|
# Params below is used when ui_mode = "modelscope"
|
|
model_name = "models/Diffusion_Transformer/CogVideoX-Fun-2b-InP"
|
|
savedir_sample = "samples"
|
|
|
|
if ui_mode == "modelscope":
|
|
demo, controller = ui_modelscope(model_name, savedir_sample, low_gpu_memory_mode, weight_dtype)
|
|
elif ui_mode == "eas":
|
|
demo, controller = ui_eas(model_name, savedir_sample)
|
|
else:
|
|
demo, controller = ui(low_gpu_memory_mode, weight_dtype)
|
|
|
|
# launch gradio
|
|
app, _, _ = demo.queue(status_update_rate=1).launch(
|
|
server_name=server_name,
|
|
server_port=server_port,
|
|
prevent_thread_lock=True
|
|
)
|
|
|
|
# launch api
|
|
infer_forward_api(None, app, controller)
|
|
update_diffusion_transformer_api(None, app, controller)
|
|
update_edition_api(None, app, controller)
|
|
|
|
# not close the python
|
|
while True:
|
|
time.sleep(5) |