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										 |  |  | import math | 
					
						
							|  |  |  | import os | 
					
						
							|  |  |  | import sys | 
					
						
							|  |  |  | import traceback | 
					
						
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							|  |  |  | import modules.scripts as scripts | 
					
						
							|  |  |  | import gradio as gr | 
					
						
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							|  |  |  | from modules.processing import Processed, process_images | 
					
						
							|  |  |  | from PIL import Image | 
					
						
							|  |  |  | from modules.shared import opts, cmd_opts, state | 
					
						
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							|  |  |  | class Script(scripts.Script): | 
					
						
							|  |  |  |     def title(self): | 
					
						
							|  |  |  |         return "Prompts from file" | 
					
						
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							|  |  |  |     def ui(self, is_img2img): | 
					
						
							|  |  |  |         file = gr.File(label="File with inputs", type='bytes') | 
					
						
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							|  |  |  |         return [file] | 
					
						
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							|  |  |  |     def run(self, p, data: bytes): | 
					
						
							|  |  |  |         lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")] | 
					
						
							|  |  |  |         lines = [x for x in lines if len(x) > 0] | 
					
						
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							|  |  |  |         batch_count = math.ceil(len(lines) / p.batch_size) | 
					
						
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										 |  |  |         print(f"Will process {len(lines) * p.n_iter} images in {batch_count * p.n_iter} batches.") | 
					
						
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							|  |  |  |         p.do_not_save_grid = True | 
					
						
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							|  |  |  |         state.job_count = batch_count | 
					
						
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							|  |  |  |         images = [] | 
					
						
							|  |  |  |         for batch_no in range(batch_count): | 
					
						
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										 |  |  |             state.job = f"{batch_no + 1} out of {batch_count * p.n_iter}" | 
					
						
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										 |  |  |             p.prompt = lines[batch_no*p.batch_size:(batch_no+1)*p.batch_size] * p.n_iter | 
					
						
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										 |  |  |             proc = process_images(p) | 
					
						
							|  |  |  |             images += proc.images | 
					
						
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							|  |  |  |         return Processed(p, images, p.seed, "") |