diff options
author | AUTOMATIC <16777216c@gmail.com> | 2022-09-06 17:26:09 +0000 |
---|---|---|
committer | AUTOMATIC <16777216c@gmail.com> | 2022-09-06 17:26:09 +0000 |
commit | 7e5b8becf959ba869f1fd476e397b83744fc7289 (patch) | |
tree | f5f3b5a3fe5fdb8a177e69c868a12ca1dd84b90f | |
parent | fd66199769ebe0851d2ff33fdc7b191421822454 (diff) | |
download | stable-diffusion-webui-gfx803-7e5b8becf959ba869f1fd476e397b83744fc7289.tar.gz stable-diffusion-webui-gfx803-7e5b8becf959ba869f1fd476e397b83744fc7289.tar.bz2 stable-diffusion-webui-gfx803-7e5b8becf959ba869f1fd476e397b83744fc7289.zip |
fix for progress bar
-rw-r--r-- | modules/shared.py | 3 | ||||
-rw-r--r-- | modules/ui.py | 5 | ||||
-rw-r--r-- | webui.py | 1 |
3 files changed, 7 insertions, 2 deletions
diff --git a/modules/shared.py b/modules/shared.py index e9c88e31..5eac3317 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -49,6 +49,7 @@ class State: sampling_steps = 0
current_latent = None
current_image = None
+ current_progress_index = 0
def interrupt(self):
self.interrupted = True
@@ -102,7 +103,7 @@ class Options: "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
"upscale_at_full_resolution_padding": OptionInfo(16, "Inpainting at full resolution: padding, in pixels, for the masked region.", gr.Slider, {"minimum": 0, "maximum": 128, "step": 4}),
"show_progressbar": OptionInfo(True, "Show progressbar"),
- "show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
+ "show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N progress pudates. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
}
def __init__(self):
diff --git a/modules/ui.py b/modules/ui.py index 8e7a3ee4..fb3c4d33 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -160,13 +160,14 @@ def check_progress_call(): preview_visibility = gr_show(False)
if opts.show_progress_every_n_steps > 0:
- if (shared.state.sampling_step-1) % opts.show_progress_every_n_steps == 0 and shared.state.current_latent is not None:
+ if shared.state.current_progress_index % opts.show_progress_every_n_steps == 0 and shared.state.current_latent is not None:
x_sample = shared.sd_model.decode_first_stage(shared.state.current_latent[0:1].type(shared.sd_model.dtype))[0]
x_sample = torch.clamp((x_sample + 1.0) / 2.0, min=0.0, max=1.0)
x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
x_sample = x_sample.astype(np.uint8)
shared.state.current_image = Image.fromarray(x_sample)
+
image = shared.state.current_image
if image is None or progress >= 1:
@@ -174,6 +175,8 @@ def check_progress_call(): else:
preview_visibility = gr_show(True)
+ shared.state.current_progress_index += 1
+
return f"<span style='display: none'>{time.time()}</span><p>{progressbar}</p>", preview_visibility, image
@@ -127,6 +127,7 @@ def wrap_gradio_gpu_call(func): shared.state.job_no = 0
shared.state.current_latent = None
shared.state.current_image = None
+ shared.state.current_progress_index = 0
with queue_lock:
res = func(*args, **kwargs)
|