From c708d8a239299e94d57b932141b8fe0978d2a0d8 Mon Sep 17 00:00:00 2001 From: lllyasviel Date: Tue, 30 Jan 2024 15:00:22 -0800 Subject: [PATCH] Update preprocessor_inpaint.py --- .../scripts/preprocessor_inpaint.py | 23 ++++++++++++++----- 1 file changed, 17 insertions(+), 6 deletions(-) diff --git a/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py b/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py index a77cb991..e679d33e 100644 --- a/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py +++ b/extensions-builtin/forge_preprocessor_inpaint/scripts/preprocessor_inpaint.py @@ -93,6 +93,10 @@ class PreprocessorInpaintLama(PreprocessorInpaintOnly): return def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs): + H, W, C = input_image.shape + raw_color = input_image[:, :, 0:3].copy() + raw_mask = input_image[:, :, 3:4].copy() + input_image, remove_pad = resize_image_with_pad(input_image, 256) self.load_model() @@ -108,13 +112,20 @@ class PreprocessorInpaintLama(PreprocessorInpaintOnly): color = color * (1 - mask) image_feed = torch.cat([color, mask], dim=2) image_feed = einops.rearrange(image_feed, 'h w c -> 1 c h w') - result = self.model_patcher.model(image_feed)[0] - result = einops.rearrange(result, 'c h w -> h w c') - result = result * mask + color * (1 - mask) - result *= 255.0 - result = result.detach().cpu().numpy().clip(0, 255).astype(np.uint8) + prd_color = self.model_patcher.model(image_feed)[0] + prd_color = einops.rearrange(prd_color, 'c h w -> h w c') + prd_color = prd_color * mask + color * (1 - mask) + prd_color *= 255.0 + prd_color = prd_color.detach().cpu().numpy().clip(0, 255).astype(np.uint8) - result = remove_pad(result) + prd_color = remove_pad(prd_color) + prd_color = cv2.resize(prd_color, (W, H)) + + alpha = raw_mask.astype(np.float32) / 255.0 + fin_color = prd_color.astype(np.float32) * alpha + raw_color.astype(np.float32) * (1 - alpha) + fin_color = fin_color.clip(0, 255).astype(np.uint8) + + result = np.concatenate([fin_color, raw_mask], axis=2) return result