diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py index 4370abe1b..dff54f0a4 100644 --- a/scripts/sd_upscale.py +++ b/scripts/sd_upscale.py @@ -17,12 +17,10 @@ class Script(scripts.Script): return is_img2img def ui(self, is_img2img): - info = gr.HTML( - "
Will upscale the image by the selected scale factor; use width and height sliders to set tile size
") + info = gr.HTML("Will upscale the image by the selected scale factor; use width and height sliders to set tile size
") overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64) scale_factor = gr.Slider(minimum=0, maximum=4, step=1, label='Scale Factor', value=2) - upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], - value=shared.sd_upscalers[0].name, type="index") + upscaler_index = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index") return [info, overlap, upscaler_index, scale_factor] @@ -62,8 +60,7 @@ class Script(scripts.Script): batch_count = math.ceil(len(work) / batch_size) state.job_count = batch_count * upscale_count - print( - f"SD upscaling will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)} per upscale in a total of {state.job_count} batches.") + print(f"SD upscaling will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)} per upscale in a total of {state.job_count} batches.") result_images = [] for n in range(upscale_count): @@ -87,17 +84,15 @@ class Script(scripts.Script): image_index = 0 for y, h, row in grid.tiles: for tiledata in row: - tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", ( - p.width, p.height)) + tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (p.width, p.height)) image_index += 1 combined_image = images.combine_grid(grid) result_images.append(combined_image) if opts.samples_save: - images.save_image(combined_image, p.outpath_samples, "", start_seed, p.prompt, opts.samples_format, - info=initial_info, p=p) + images.save_image(combined_image, p.outpath_samples, "", start_seed, p.prompt, opts.samples_format, info=initial_info, p=p) processed = Processed(p, result_images, seed, initial_info) - return processed \ No newline at end of file + return processed