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import gc
import os
import time
import gradio as gr
import imageio
import torch
from skyreels_v2_infer.modules import download_model
# from skyreels_v2_infer.pipelines import Image2VideoPipeline
from skyreels_v2_infer.pipelines import PromptEnhancer
# from skyreels_v2_infer.pipelines import resizecrop
from skyreels_v2_infer.pipelines import Text2VideoPipeline
model_id = "Skywork/SkyReels-V2-T2V-14B-720P"
pipe = Text2VideoPipeline(
model_path=download_model(model_id),
dit_path=download_model(model_id),
use_usp=False,
offload=True
)
def generate(prompt, use_prompt_enhancer):
if use_prompt_enhancer:
enhancer = PromptEnhancer()
prompt = enhancer(prompt)
del enhancer
gc.collect()
torch.cuda.empty_cache()
seed = int(time.time()) % 999999
frames = pipe(
prompt=prompt,
negative_prompt="ugly, blurry, low quality",
num_frames=96,
num_inference_steps=30,
guidance_scale=6.0,
shift=8.0,
generator=torch.Generator("cuda").manual_seed(seed),
height=1280,
width=720
)[0]
os.makedirs("videos", exist_ok=True)
path = f"videos/out_{seed}.mp4"
imageio.mimsave(path, frames, fps=24)
return path
app = gr.Interface(
fn=generate,
inputs=gr.Textbox(label="Prompt"),
outputs=gr.Video(label="Generated Video"),
title="SkyReels V2 T2V"
)
if __name__ == "__main__":
app.launch()
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