From 549c02a874eac1b3ac78ec61b7f1beec81dd76aa Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Sat, 3 Jun 2023 10:36:53 -0400 Subject: [PATCH] minor fixes --- javascript/progressbar.js | 1 - modules/images.py | 1 - modules/processing.py | 2 +- scripts/xyz_grid.py | 1 + 4 files changed, 2 insertions(+), 3 deletions(-) diff --git a/javascript/progressbar.js b/javascript/progressbar.js index 82ac1276d..24e7f50ac 100644 --- a/javascript/progressbar.js +++ b/javascript/progressbar.js @@ -45,7 +45,6 @@ function checkPaused(state) { } function setProgress(res) { - console.log(res); elements = ['txt2img_generate', 'img2img_generate', 'extras_generate'] const progress = (res?.progress || 0) const perc = res && (progress > 0) ? `${Math.round(100.0 * progress)}%` : '' diff --git a/modules/images.py b/modules/images.py index d068842eb..db812eb38 100644 --- a/modules/images.py +++ b/modules/images.py @@ -434,7 +434,6 @@ def atomically_save_image(): filename = filename.strip() if extension[0] != '.': # add dot if missing extension = '.' + extension - print('image_format', extension) try: image_format = Image.registered_extensions()[extension] except Exception: diff --git a/modules/processing.py b/modules/processing.py index 003ca69bc..8e4ad13d2 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -922,7 +922,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): decoded_samples = torch.from_numpy(np.array(batch_images)) decoded_samples = decoded_samples.to(shared.device) decoded_samples = 2. * decoded_samples - 1. - if shared.opts.sd_vae_sliced_encode: + if shared.opts.sd_vae_sliced_encode and len(decoded_samples) > 1: samples = torch.stack([ self.sd_model.get_first_stage_encoding( self.sd_model.encode_first_stage(torch.unsqueeze(decoded_sample, 0)) diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py index 041698ee5..cfa56fa12 100644 --- a/scripts/xyz_grid.py +++ b/scripts/xyz_grid.py @@ -73,6 +73,7 @@ def apply_checkpoint(p, x, xs): shared.log.warning(f"XYZ grid: unknown checkpoint: {x}") else: sd_models.reload_model_weights(shared.sd_model, info) + p.override_settings['sd_model_checkpoint'] = info.name def confirm_checkpoints(p, xs):