text stringlengths 1 93.6k |
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if args.with_id:
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full_path = os.path.join(args.output_path, query_id)
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os.makedirs(full_path, exist_ok=True)
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save_multiple_images(imgs, full_path, False)
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else:
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prefix = raw_text.replace('/', '')[:20]
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full_path = timed_name(prefix, '.jpeg', args.output_path)
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print("\nSave to: ", full_path, flush=True)
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from PIL import Image
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from torchvision.utils import make_grid
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grid = make_grid(imgs, nrow=3, padding=0)
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# Add 0.5 after unnormalizing to [0, 255] to round to nearest integer
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ndarr = grid.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0).to('cpu', torch.uint8).numpy()
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im = Image.fromarray(ndarr)
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im.save(full_path, quality=100, subsampling=0)
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os.makedirs(args.output_path, exist_ok=True)
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generate_continually(process, args.input_source)
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class InferenceModel(CachedAutoregressiveModel):
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def final_forward(self, logits, **kwargs):
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logits_parallel = logits
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logits_parallel = torch.nn.functional.linear(logits_parallel.float(), self.transformer.word_embeddings.weight[:20000].float())
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return logits_parallel
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def get_recipe(name):
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r = {
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'attn_plus': 1.4,
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'temp_all_gen': 1.15,
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'topk_gen': 16,
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'temp_cluster_gen': 1,
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'temp_all_dsr': 1.5,
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'topk_dsr': 100,
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'temp_cluster_dsr': 0.89,
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'temp_all_itersr': 1.3,
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'topk_itersr': 16,
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'query_template': '{}<start_of_image>'
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}
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if name == 'none':
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pass
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elif name == 'mainbody':
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r['query_template'] = '{} 高清摄影 隔绝<start_of_image>'
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elif name == 'photo':
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r['query_template'] = '{} 高清摄影<start_of_image>'
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elif name == 'flat':
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r['query_template'] = '{} 平面风格<start_of_image>'
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r['temp_all_gen'] = 1.1
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r['topk_dsr'] = 5
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r['temp_cluster_dsr'] = 0.4
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r['temp_all_itersr'] = 1
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r['topk_itersr'] = 5
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elif name == 'comics':
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r['query_template'] = '{} 漫画 隔绝<start_of_image>'
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r['topk_dsr'] = 5
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r['temp_cluster_dsr'] = 0.4
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r['temp_all_gen'] = 1.1
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r['temp_all_itersr'] = 1
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r['topk_itersr'] = 5
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elif name == 'oil':
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r['query_template'] = '{} 油画风格<start_of_image>'
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pass
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elif name == 'sketch':
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r['query_template'] = '{} 素描风格<start_of_image>'
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r['temp_all_gen'] = 1.1
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elif name == 'isometric':
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r['query_template'] = '{} 等距矢量图<start_of_image>'
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r['temp_all_gen'] = 1.1
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elif name == 'chinese':
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r['query_template'] = '{} 水墨国画<start_of_image>'
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r['temp_all_gen'] = 1.12
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elif name == 'watercolor':
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r['query_template'] = '{} 水彩画风格<start_of_image>'
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return r
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if __name__ == "__main__":
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py_parser = argparse.ArgumentParser(add_help=False)
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py_parser.add_argument('--style', type=str, default='none',
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choices=['none', 'mainbody', 'photo', 'flat', 'comics', 'oil', 'sketch', 'isometric', 'chinese', 'watercolor'])
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known, args_list = py_parser.parse_known_args()
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args = get_args(args_list)
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args = argparse.Namespace(**vars(args), **vars(known), **get_recipe(known.style))
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with torch.no_grad():
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main(args)
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# <FILESEP>
|
# !/usr/bin/python3
|
# -*- coding: utf-8 -*-
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# @Time : 2023/7/6 12:24
|
# @Author : ziyou
|
# -------------------------------
|
# cron "1 8,10,12,15,18,22 * * *" script-path=xxx.py,tag=匹配cron用
|
# const $ = new Env('得物森林')
|
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