From 3bafd2ea6c3b0c9210e9ba2b5fdc63691d1c86ca Mon Sep 17 00:00:00 2001 From: lvmin Date: Thu, 10 Aug 2023 08:54:51 -0700 Subject: [PATCH] i --- modules/core.py | 5 +++-- modules/default_pipeline.py | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/modules/core.py b/modules/core.py index 08db86a4..41a8ddef 100644 --- a/modules/core.py +++ b/modules/core.py @@ -58,13 +58,14 @@ def get_previewer(device, latent_format): taesd = TAESD(None, taesd_decoder_path).to(device) - def preview_function(x0): + def preview_function(x0, step, total_steps): with torch.no_grad(): x_sample = taesd.decoder(x0).detach() * 255.0 x_sample = einops.rearrange(x_sample, 'b c h w -> b h w c') x_sample = x_sample.cpu().numpy()[..., ::-1].copy().clip(0, 255).astype(np.uint8) for i, s in enumerate(x_sample): cv2.imshow(f'Preview {i}', s) + cv2.setWindowTitle(f'Preview {i}', f'Preview {i}, [{step}/{total_steps}]') cv2.waitKey(1) taesd.preview = preview_function @@ -99,7 +100,7 @@ def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=9.0, sa def callback(step, x0, x, total_steps): if previewer and step % 3 == 0: - previewer.preview(x0) + previewer.preview(x0, step, total_steps) pbar.update_absolute(step + 1, total_steps, None) samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, diff --git a/modules/default_pipeline.py b/modules/default_pipeline.py index 366bc8c3..3bcc01ee 100644 --- a/modules/default_pipeline.py +++ b/modules/default_pipeline.py @@ -44,5 +44,5 @@ def process(positive_prompt, negative_prompt, width=1024, height=1024, batch_siz images = core.image_to_numpy(decoded_latent) core.close_all_preview() - + return images