mrq/stable-diffusion-webui
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fix error messages not appearing

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AUTOMATIC 2022-09-02 00:24:30 +03:00
parent 47be7e1f1b
commit 0a85f1afff
1 changed files with 14 additions and 2 deletions
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16
webui.py
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@ -683,7 +683,7 @@ def wrap_gradio_call(func):
print("Arguments:", args, kwargs, file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
res = [None, f"<div class='error'>{plaintext_to_html(type(e).__name__+': '+str(e))}</div>"]
res = [None, '', f"<div class='error'>{plaintext_to_html(type(e).__name__+': '+str(e))}</div>"]
elapsed = time.perf_counter() - t
@ -1027,6 +1027,18 @@ class KDiffusionSampler:
if hasattr(k_diffusion.sampling, 'trange'):
k_diffusion.sampling.trange = lambda *args, **kwargs: extended_trange(*args, **kwargs)
def cb(d):
n = d['i']
img = d['denoised']
x_samples_ddim = sd_model.decode_first_stage(img)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
for i, x_sample in enumerate(x_samples_ddim):
x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
x_sample = x_sample.astype(np.uint8)
image = Image.fromarray(x_sample)
image.save(f'a/{n}.png')
samples_ddim = self.func(self.model_wrap_cfg, x, sigmas, extra_args={'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': p.cfg_scale}, disable=False)
return samples_ddim
@ -1989,7 +2001,7 @@ else:
sd_model = sd_model.to(device)
model_hijack = StableDiffusionModelHijack()
model_hijack.hijack(sd_model)
#model_hijack.hijack(sd_model)
with open(os.path.join(script_path, "style.css"), "r", encoding="utf8") as file:
css = file.read()