""" 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. Exports function retrieve_metadata(path) """ import os import re import json from PIL import PngImagePlugin, Image # -------------------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, dream_prompt, name, metadata=None, compress_level=6): path = os.path.join(self.outdir, name) info = PngImagePlugin.PngInfo() info.add_text('Dream', dream_prompt) if metadata: info.add_text('sd-metadata', json.dumps(metadata)) image.save(path, 'PNG', pnginfo=info, compress_level=compress_level) return path def retrieve_metadata(self,img_basename): ''' Given a PNG filename stored in outdir, returns the "sd-metadata" metadata stored there, as a dict ''' path = os.path.join(self.outdir,img_basename) all_metadata = retrieve_metadata(path) return all_metadata['sd-metadata'] def retrieve_metadata(img_path): ''' Given a path to a PNG image, returns the "sd-metadata" metadata stored there, as a dict ''' im = Image.open(img_path) md = im.text.get('sd-metadata', '{}') dream_prompt = im.text.get('Dream', '') return {'sd-metadata': json.loads(md), 'Dream': dream_prompt} def write_metadata(img_path:str, meta:dict): im = Image.open(img_path) info = PngImagePlugin.PngInfo() info.add_text('sd-metadata', json.dumps(meta)) im.save(img_path,'PNG',pnginfo=info) 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}') # to do: put model name into the t2i object # switches.append(f'--model{t2i.model_name}') if opt.seamless or t2i.seamless: switches.append(f'--seamless') if opt.init_img: switches.append(f'-I{opt.init_img}') if opt.fit: switches.append(f'--fit') 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 opt.variation_amount > 0: switches.append(f'-v{opt.variation_amount}') if opt.with_variations: formatted_variations = ','.join(f'{seed}:{weight}' for seed, weight in opt.with_variations) switches.append(f'-V{formatted_variations}') return ' '.join(switches)