""" Two helper classes for dealing with PNG images and their path names. PngWriter -- Converts Images generated by T2I into PNGs, finds appropriate names for them, and writes prompt metadata into the PNG. Intended to be subclassable in order to create more complex naming schemes, including using the prompt for file/directory names. PromptFormatter -- Utility for converting a Namespace of prompt parameters back into a formatted prompt string with command-line switches. """ import os import re from math import sqrt, floor, ceil from PIL import Image, PngImagePlugin # -------------------image generation utils----- class PngWriter: def __init__(self, outdir): self.outdir = outdir os.makedirs(outdir, exist_ok=True) # gives the next unique prefix in outdir def unique_prefix(self): # sort reverse alphabetically until we find max+1 dirlist = sorted(os.listdir(self.outdir), reverse=True) # find the first filename that matches our pattern or return 000000.0.png existing_name = next( (f for f in dirlist if re.match('^(\d+)\..*\.png', f)), '0000000.0.png', ) basecount = int(existing_name.split('.', 1)[0]) + 1 return f'{basecount:06}' # saves image named _image_ to outdir/name, writing metadata from prompt # returns full path of output def save_image_and_prompt_to_png(self, image, prompt, name): path = os.path.join(self.outdir, name) info = PngImagePlugin.PngInfo() info.add_text('Dream', prompt) image.save(path, 'PNG', pnginfo=info) return path # TODO move this to its own helper function; it's not really a method of pngwriter def make_grid(self, image_list, rows=None, cols=None): image_cnt = len(image_list) if None in (rows, cols): rows = floor(sqrt(image_cnt)) # try to make it square cols = ceil(image_cnt / rows) width = image_list[0].width height = image_list[0].height grid_img = Image.new('RGB', (width * cols, height * rows)) i = 0 for r in range(0, rows): for c in range(0, cols): if i>=len(image_list): break grid_img.paste(image_list[i], (c * width, r * height)) i = i + 1 return grid_img class PromptFormatter: def __init__(self, t2i, opt): self.t2i = t2i self.opt = opt # note: the t2i object should provide all these values. # there should be no need to or against opt values def normalize_prompt(self): """Normalize the prompt and switches""" t2i = self.t2i opt = self.opt switches = list() switches.append(f'"{opt.prompt}"') switches.append(f'-s{opt.steps or t2i.steps}') switches.append(f'-W{opt.width or t2i.width}') switches.append(f'-H{opt.height or t2i.height}') switches.append(f'-C{opt.cfg_scale or t2i.cfg_scale}') switches.append(f'-A{opt.sampler_name or t2i.sampler_name}') if opt.init_img: switches.append(f'-I{opt.init_img}') if opt.strength and opt.init_img is not None: switches.append(f'-f{opt.strength or t2i.strength}') if opt.gfpgan_strength: switches.append(f'-G{opt.gfpgan_strength}') if opt.upscale: switches.append(f'-U {" ".join([str(u) for u in opt.upscale])}') if t2i.full_precision: switches.append('-F') return ' '.join(switches)