prevent making grid if there is no need for it #428
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@ -312,16 +312,14 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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state.nextjob()
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state.nextjob()
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unwanted_grid_because_of_img_count = len(output_images) < 2 and opts.grid_only_if_multiple
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unwanted_grid_because_of_img_count = len(output_images) < 2 and opts.grid_only_if_multiple
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if not p.do_not_save_grid and not unwanted_grid_because_of_img_count:
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if (opts.return_grid or opts.grid_save) and not p.do_not_save_grid and not unwanted_grid_because_of_img_count:
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return_grid = opts.return_grid
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grid = images.image_grid(output_images, p.batch_size)
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grid = images.image_grid(output_images, p.batch_size)
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if return_grid:
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if opts.return_grid:
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output_images.insert(0, grid)
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output_images.insert(0, grid)
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if opts.grid_save:
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if opts.grid_save:
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images.save_image(grid, p.outpath_grids, "grid", all_seeds[0], all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, grid=True, p=p)
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images.save_image(grid, p.outpath_grids, "grid", all_seeds[0], all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p)
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devices.torch_gc()
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devices.torch_gc()
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return Processed(p, output_images, all_seeds[0], infotext())
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return Processed(p, output_images, all_seeds[0], infotext())
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