Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,26 +1,59 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
-
import
|
| 3 |
import os
|
| 4 |
-
import random
|
| 5 |
import time
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
-
def
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
os.makedirs("outputs", exist_ok=True)
|
| 11 |
-
subprocess.run(command, shell=True)
|
| 12 |
-
|
| 13 |
-
# Buscar el último vídeo generado
|
| 14 |
-
files = sorted(os.listdir("result/outputs"), key=lambda x: os.path.getmtime(os.path.join("result/outputs", x)))
|
| 15 |
-
if files:
|
| 16 |
-
video_path = os.path.join("result/outputs", files[-1])
|
| 17 |
-
return video_path
|
| 18 |
-
else:
|
| 19 |
-
return "No video generated"
|
| 20 |
-
|
| 21 |
-
iface = gr.Interface(fn=generate,
|
| 22 |
-
inputs=gr.Textbox(label="Prompt para generar video"),
|
| 23 |
-
outputs=gr.Video(label="Video generado"))
|
| 24 |
-
|
| 25 |
-
iface.launch()
|
| 26 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
+
import torch
|
| 3 |
import os
|
|
|
|
| 4 |
import time
|
| 5 |
+
import imageio
|
| 6 |
+
from diffusers.utils import load_image
|
| 7 |
+
from skyreels_v2_infer.modules import download_model
|
| 8 |
+
from skyreels_v2_infer.pipelines import Text2VideoPipeline
|
| 9 |
|
| 10 |
+
def generate_video(prompt):
|
| 11 |
+
model_id = "Skywork/SkyReels-V2-T2V-14B-540P"
|
| 12 |
+
model_path = download_model(model_id)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
+
pipe = Text2VideoPipeline(
|
| 15 |
+
model_path=model_path,
|
| 16 |
+
dit_path=model_path,
|
| 17 |
+
use_usp=False,
|
| 18 |
+
offload=True,
|
| 19 |
+
)
|
| 20 |
+
|
| 21 |
+
height = 544
|
| 22 |
+
width = 960
|
| 23 |
+
seed = int(time.time())
|
| 24 |
+
generator = torch.Generator(device="cuda").manual_seed(seed)
|
| 25 |
+
|
| 26 |
+
kwargs = {
|
| 27 |
+
"prompt": prompt,
|
| 28 |
+
"negative_prompt": "static, blurred, low quality",
|
| 29 |
+
"num_frames": 97,
|
| 30 |
+
"num_inference_steps": 30,
|
| 31 |
+
"guidance_scale": 6.0,
|
| 32 |
+
"shift": 8.0,
|
| 33 |
+
"generator": generator,
|
| 34 |
+
"height": height,
|
| 35 |
+
"width": width,
|
| 36 |
+
}
|
| 37 |
+
|
| 38 |
+
with torch.cuda.amp.autocast(dtype=pipe.transformer.dtype), torch.no_grad():
|
| 39 |
+
video_frames = pipe(**kwargs)[0]
|
| 40 |
+
|
| 41 |
+
timestamp = time.strftime("%Y%m%d_%H%M%S")
|
| 42 |
+
filename = f"output_{timestamp}.mp4"
|
| 43 |
+
os.makedirs("video_out", exist_ok=True)
|
| 44 |
+
path = os.path.join("video_out", filename)
|
| 45 |
+
imageio.mimwrite(path, video_frames, fps=24, quality=8)
|
| 46 |
+
return path
|
| 47 |
+
|
| 48 |
+
with gr.Blocks() as demo:
|
| 49 |
+
gr.Markdown("# SkyReels V2")
|
| 50 |
+
with gr.Row():
|
| 51 |
+
prompt_input = gr.Textbox(label="Prompt para generar video", placeholder="Describe la escena que quieres ver")
|
| 52 |
+
with gr.Row():
|
| 53 |
+
run_button = gr.Button("Generar video")
|
| 54 |
+
with gr.Row():
|
| 55 |
+
output_video = gr.Video(label="Video generado")
|
| 56 |
+
|
| 57 |
+
run_button.click(fn=generate_video, inputs=prompt_input, outputs=output_video)
|
| 58 |
+
|
| 59 |
+
demo.launch()
|