mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-27 07:39:53 +08:00
58 lines
2.5 KiB
Python
58 lines
2.5 KiB
Python
import csv, os, shutil
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import modules.scripts as scripts
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from modules import processing, shared, sd_samplers, images
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from modules.processing import Processed
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from modules.shared import opts
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import gradio
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class Script(scripts.Script):
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def title(self):
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return "Create inspiration images"
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def show(self, is_img2img):
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return True
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def ui(self, is_img2img):
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file = gradio.Files(label="Artist or styles name list. '.txt' files with one name per line",)
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with gradio.Row():
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prefix = gradio.Textbox("a painting in", label="Prompt words before artist or style name", file_count="multiple")
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suffix= gradio.Textbox("style", label="Prompt words after artist or style name")
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negative_prompt = gradio.Textbox("picture frame, portrait photo", label="Negative Prompt")
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with gradio.Row():
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batch_size = gradio.Number(1, label="Batch size")
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batch_count = gradio.Number(2, label="Batch count")
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return [batch_size, batch_count, prefix, suffix, negative_prompt, file]
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def run(self, p, batch_size, batch_count, prefix, suffix, negative_prompt, files):
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p.batch_size = int(batch_size)
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p.n_iterint = int(batch_count)
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p.negative_prompt = negative_prompt
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p.do_not_save_samples = True
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p.do_not_save_grid = True
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for file in files:
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tp = file.orig_name.split(".")[0]
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print(tp)
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path = os.path.join(opts.inspiration_dir, tp)
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if not os.path.exists(path):
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os.makedirs(path)
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f = open(file.name, "r")
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line = f.readline()
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while len(line) > 0:
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name = line.rstrip("\n").split(",")[0]
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line = f.readline()
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artist_path = os.path.join(path, name)
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if not os.path.exists(artist_path):
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os.mkdir(artist_path)
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if len(os.listdir(artist_path)) >= opts.inspiration_max_samples:
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continue
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p.prompt = f"{prefix} {name} {suffix}"
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print(p.prompt)
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processed = processing.process_images(p)
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for img in processed.images:
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i = 0
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filename = os.path.join(artist_path, format(0, "03d") + ".jpg")
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while os.path.exists(filename):
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i += 1
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filename = os.path.join(artist_path, format(i, "03d") + ".jpg")
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img.save(filename, quality=80)
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return processed
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