Linoy Tsaban commited on
Commit
39f64fe
1 Parent(s): f1baf70

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +17 -13
app.py CHANGED
@@ -33,10 +33,10 @@ def invert(x0, prompt_src="", num_diffusion_steps=100, cfg_scale_src = 3.5, eta
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- def sample(zs, xT, prompt_tar="", cfg_scale_tar=15, eta = 1):
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  # reverse process (via Zs and wT)
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- w0, _ = inversion_reverse_process(sd_pipe, xT=xT, etas=eta, prompts=[prompt_tar], cfg_scales=[cfg_scale_tar], prog_bar=False, zs=zs)
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  # vae decode image
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  with autocast("cuda"), inference_mode():
@@ -96,7 +96,7 @@ For faster inference without waiting in queue, you may duplicate the space and u
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  with gr.Blocks(css='style.css') as demo:
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  def reset_latents():
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- xt = gr.State(value=False)
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  zs = gr.State(value=False)
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@@ -121,15 +121,19 @@ with gr.Blocks(css='style.css') as demo:
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  if not xt:
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  # invert and retrieve noise maps and latent
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  zs, wts = invert(x0 =x0 , prompt_src=src_prompt, num_diffusion_steps=steps, cfg_scale_src=cfg_scale_src)
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- xt = gr.State(value=wts[skip])
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- zs = gr.State(value=zs[skip:])
 
 
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- output = sample(zs.value, xt.value, prompt_tar=tar_prompt, cfg_scale_tar=cfg_scale_tar)
 
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- return output, xt, zs
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  gr.HTML(intro)
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- xt = gr.State(value=False)
 
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  zs = gr.State(value=False)
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  with gr.Row():
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  input_image = gr.Image(label="Input Image", interactive=True)
@@ -164,7 +168,7 @@ with gr.Blocks(css='style.css') as demo:
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  edit_button.click(
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  fn=edit,
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  inputs=[input_image,
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- xt, zs,
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  src_prompt,
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  tar_prompt,
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  steps,
@@ -174,7 +178,7 @@ with gr.Blocks(css='style.css') as demo:
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  seed,
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  randomize_seed
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  ],
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- outputs=[output_image, xt, zs],
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  )
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  input_image.change(
@@ -185,9 +189,9 @@ with gr.Blocks(css='style.css') as demo:
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  fn = reset_latents
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  )
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- skip.change(
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- fn = reset_latents
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- )
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  gr.Examples(
 
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+ def sample(zs, wts, prompt_tar="", cfg_scale_tar=15, eta = 1):
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  # reverse process (via Zs and wT)
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+ w0, _ = inversion_reverse_process(sd_pipe, xT=wts[skip], etas=eta, prompts=[prompt_tar], cfg_scales=[cfg_scale_tar], prog_bar=False, zs=zs[skip:])
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  # vae decode image
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  with autocast("cuda"), inference_mode():
 
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  with gr.Blocks(css='style.css') as demo:
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  def reset_latents():
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+ wts = gr.State(value=False)
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  zs = gr.State(value=False)
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  if not xt:
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  # invert and retrieve noise maps and latent
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  zs, wts = invert(x0 =x0 , prompt_src=src_prompt, num_diffusion_steps=steps, cfg_scale_src=cfg_scale_src)
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+ # xt = gr.State(value=wts[skip])
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+ # zs = gr.State(value=zs[skip:])
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+ wts = gr.State(value=wts)
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+ zs = gr.State(value=zs)
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+ # output = sample(zs.value, xt.value, prompt_tar=tar_prompt, cfg_scale_tar=cfg_scale_tar)
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+ output = sample(zs.value, wts.value, prompt_tar=tar_prompt, cfg_scale_tar=cfg_scale_tar)
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+ return output, wts, zs
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  gr.HTML(intro)
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+ # xt = gr.State(value=False)
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+ wts = gr.State(value=False)
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  zs = gr.State(value=False)
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  with gr.Row():
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  input_image = gr.Image(label="Input Image", interactive=True)
 
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  edit_button.click(
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  fn=edit,
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  inputs=[input_image,
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+ wts, zs,
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  src_prompt,
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  tar_prompt,
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  steps,
 
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  seed,
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  randomize_seed
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  ],
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+ outputs=[output_image, wts, zs],
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  )
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  input_image.change(
 
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  fn = reset_latents
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  )
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+ # skip.change(
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+ # fn = reset_latents
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+ # )
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  gr.Examples(