42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
import math
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import os
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import sys
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import traceback
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import modules.scripts as scripts
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import gradio as gr
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from modules.processing import Processed, process_images
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from PIL import Image
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from modules.shared import opts, cmd_opts, state
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class Script(scripts.Script):
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def title(self):
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return "Prompts from file"
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def ui(self, is_img2img):
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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):
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lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")]
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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 = []
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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)
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images += proc.images
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return Processed(p, images, p.seed, "")
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