Zhouyan248 commited on
Commit
dd310fc
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1 Parent(s): e180512

Update app.py

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Files changed (1) hide show
  1. app.py +5 -12
app.py CHANGED
@@ -25,13 +25,9 @@ h1 {
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  def infer(prompt, image_inp, seed_inp, ddim_steps,width,height):
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  setup_seed(seed_inp)
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  args.num_sampling_steps = ddim_steps
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- ###ε…ˆζ΅‹θ―•Imageηš„θΏ”ε›žη±»εž‹
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- print(prompt, seed_inp, ddim_steps, type(image_inp))
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  img = cv2.imread(image_inp)
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- new_size = [height,width]
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-
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  args.image_size = new_size
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-
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  vae, model, text_encoder, diffusion = model_i2v_fun(args)
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  vae.to(device)
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  model.to(device)
@@ -58,17 +54,14 @@ def infer(prompt, image_inp, seed_inp, ddim_steps,width,height):
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  video_ = ((video_clip * 0.5 + 0.5) * 255).add_(0.5).clamp_(0, 255).to(dtype=torch.uint8).cpu().permute(0, 2, 3, 1)
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  torchvision.io.write_video(os.path.join(args.save_img_path, prompt+ '.mp4'), video_, fps=8)
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-
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-
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- # video = model_i2V(prompt, image_inp, seed_inp, ddim_steps)
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  return os.path.join(args.save_img_path, prompt+ '.mp4')
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- def clean():
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  # return gr.Image.update(value=None, visible=False), gr.Video.update(value=None)
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- return gr.Video.update(value=None)
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  title = """
@@ -118,7 +111,7 @@ with gr.Blocks(css='style.css') as demo:
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  submit_btn = gr.Button("Generate video")
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- clean_btn = gr.Button("Clean video")
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  video_out = gr.Video(label="Video result", elem_id="video-output", width = 800)
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  inputs = [prompt,image_inp, seed_inp, ddim_steps,width,height]
@@ -137,7 +130,7 @@ with gr.Blocks(css='style.css') as demo:
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  ex.dataset.headers = [""]
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  # control_task.change(change_task_options, inputs=[control_task], outputs=[canny_opt, hough_opt, normal_opt], queue=False)
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- clean_btn.click(clean, inputs=[], outputs=[video_out], queue=False)
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  submit_btn.click(infer, inputs, outputs)
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  # share_button.click(None, [], [], _js=share_js)
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  def infer(prompt, image_inp, seed_inp, ddim_steps,width,height):
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  setup_seed(seed_inp)
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  args.num_sampling_steps = ddim_steps
 
 
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  img = cv2.imread(image_inp)
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+ new_size = [height,width]
 
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  args.image_size = new_size
 
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  vae, model, text_encoder, diffusion = model_i2v_fun(args)
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  vae.to(device)
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  model.to(device)
 
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  video_ = ((video_clip * 0.5 + 0.5) * 255).add_(0.5).clamp_(0, 255).to(dtype=torch.uint8).cpu().permute(0, 2, 3, 1)
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  torchvision.io.write_video(os.path.join(args.save_img_path, prompt+ '.mp4'), video_, fps=8)
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  return os.path.join(args.save_img_path, prompt+ '.mp4')
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+ # def clean():
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  # return gr.Image.update(value=None, visible=False), gr.Video.update(value=None)
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+ # return gr.Video.update(value=None)
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  title = """
 
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  submit_btn = gr.Button("Generate video")
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+ # clean_btn = gr.Button("Clean video")
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  video_out = gr.Video(label="Video result", elem_id="video-output", width = 800)
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  inputs = [prompt,image_inp, seed_inp, ddim_steps,width,height]
 
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  ex.dataset.headers = [""]
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  # control_task.change(change_task_options, inputs=[control_task], outputs=[canny_opt, hough_opt, normal_opt], queue=False)
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+ # clean_btn.click(clean, inputs=[], outputs=[video_out], queue=False)
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  submit_btn.click(infer, inputs, outputs)
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  # share_button.click(None, [], [], _js=share_js)
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