From f19029aa6b82ad9d44c4069167803a3d1575217a Mon Sep 17 00:00:00 2001 From: hlky <106811348+hlky@users.noreply.github.com> Date: Sat, 27 Aug 2022 23:26:42 +0100 Subject: [PATCH] #158 Fixed At most should produce 2 samples >original & gfpgan >original & esrgan >original & gfpgan -> esrgan Turn off save individual samples to save only gfpgan, esrgan or gfpgan -> esrgan --- webui.py | 56 +++++++++++++++++++++++++++++++++++--------------------- 1 file changed, 35 insertions(+), 21 deletions(-) diff --git a/webui.py b/webui.py index 86d82d7..c1d8c37 100644 --- a/webui.py +++ b/webui.py @@ -780,40 +780,54 @@ def process_images( x_sample = 255. * rearrange(x_sample.cpu().numpy(), 'c h w -> h w c') x_sample = x_sample.astype(np.uint8) - - if use_GFPGAN and GFPGAN is not None and use_GoBIG is None: + original_sample = x_sample + original_filename = filename + if use_GFPGAN and GFPGAN is not None and not use_RealESRGAN: torch_gc() - original_sample = x_sample - original_filename = filename cropped_faces, restored_faces, restored_img = GFPGAN.enhance(x_sample[:,:,::-1], has_aligned=False, only_center_face=False, paste_back=True) - x_sample = restored_img[:,:,::-1] - image = Image.fromarray(x_sample) - filename = filename + '-gfpgan' - save_sample(image, sample_path_i, filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, + gfpgan_sample = restored_img[:,:,::-1] + image = Image.fromarray(gfpgan_sample) + gfpgan_filename = original_filename + '-gfpgan' + save_sample(image, sample_path_i, gfpgan_filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, normalize_prompt_weights, use_GFPGAN, write_info_files, prompt_matrix, init_img, uses_loopback, uses_random_seed_loopback, skip_save, skip_grid, sort_samples, sampler_name, ddim_eta, n_iter, batch_size, i, denoising_strength, resize_mode) - filename = original_filename x_sample = original_sample - if use_RealESRGAN and RealESRGAN is not None: + if use_RealESRGAN and RealESRGAN is not None and not use_GFPGAN: torch_gc() - original_sample = x_sample - original_filename = filename if RealESRGAN.model.name != realesrgan_model_name: try_loading_RealESRGAN(realesrgan_model_name) output, img_mode = RealESRGAN.enhance(x_sample[:,:,::-1]) - x_sample = output[:,:,::-1] - image = Image.fromarray(x_sample) - filename = filename + '-esrgan4x' - save_sample(image, sample_path_i, filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, + esrgan_filename = original_filename + '-esrgan4x' + esrgan_sample = output[:,:,::-1] + image = Image.fromarray(esrgan_sample) + save_sample(image, sample_path_i, esrgan_filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, +normalize_prompt_weights, use_GFPGAN, write_info_files, prompt_matrix, init_img, uses_loopback, uses_random_seed_loopback, skip_save, +skip_grid, sort_samples, sampler_name, ddim_eta, n_iter, batch_size, i, denoising_strength, resize_mode) + x_sample = original_sample + + if use_RealESRGAN and RealESRGAN is not None and use_GFPGAN and GFPGAN is not None: + torch_gc() + cropped_faces, restored_faces, restored_img = GFPGAN.enhance(x_sample[:,:,::-1], has_aligned=False, only_center_face=False, paste_back=True) + gfpgan_sample = restored_img[:,:,::-1] + if RealESRGAN.model.name != realesrgan_model_name: + try_loading_RealESRGAN(realesrgan_model_name) + output, img_mode = RealESRGAN.enhance(gfpgan_sample[:,:,::-1]) + esrgan_filename = original_filename + '-gfpgan-esrgan4x' + esrgan_sample = output[:,:,::-1] + image = Image.fromarray(esrgan_sample) + save_sample(image, sample_path_i, esrgan_filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, normalize_prompt_weights, use_GFPGAN, write_info_files, prompt_matrix, init_img, uses_loopback, uses_random_seed_loopback, skip_save, skip_grid, sort_samples, sampler_name, ddim_eta, n_iter, batch_size, i, denoising_strength, resize_mode) - filename = original_filename x_sample = original_sample if use_GoBIG and RealESRGAN is not None: - original_sample = x_sample - original_filename = filename + if use_GFPGAN: + x_sample = gfpgan_sample + original_sample = gfpgan_sample + else: + original_sample = x_sample + original_filename = filename def addalpha(im, mask): imr, img, imb, ima = im.split() mmr, mmg, mmb, mma = mask.split() @@ -1129,7 +1143,7 @@ def txt2img(prompt: str, ddim_steps: int, sampler_name: str, toggles: List[int], jpg_sample = 6 in toggles use_GoBIG = 7 in toggles use_GFPGAN = 8 in toggles - use_RealESRGAN = 8 in toggles if GFPGAN is None else 9 in toggles # possible index shift + use_RealESRGAN = 9 in toggles # possible index shift if sampler_name == 'PLMS': sampler = PLMSSampler(model) @@ -1259,7 +1273,7 @@ def img2img(prompt: str, image_editor_mode: str, init_info, mask_mode: str, mask jpg_sample = 8 in toggles use_GoBIG = 9 in toggles use_GFPGAN = 10 in toggles - use_RealESRGAN = 11 in toggles if GFPGAN is None else 10 in toggles # possible index shift + use_RealESRGAN = 11 in toggles if sampler_name == 'DDIM': sampler = DDIMSampler(model)