78 lines
3.0 KiB
Python
78 lines
3.0 KiB
Python
import os
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import re
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from PIL import Image
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from scripts.iib.parsers.model import ImageGenerationInfo, ImageGenerationParams
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from scripts.iib.tool import omit, parse_generation_parameters, unique_by
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def remove_extra_spaces(text):
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return re.sub(r"\s+", " ", text)
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def get_log_file(file_path: str):
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dir = os.path.dirname(file_path)
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with open(os.path.join(dir, "log.html")) as f:
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return f.read()
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lora_re = re.compile("LoRA \d+", re.IGNORECASE)
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class FooocusParser:
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def __init__(self):
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pass
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@classmethod
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def parse(clz, img: Image, file_path):
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if not clz.test(img, file_path):
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raise Exception("The input image does not match the current parser.")
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from lxml import etree
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log = get_log_file(file_path)
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root = etree.HTML(log)
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id = str(os.path.basename(file_path)).replace(".", "_")
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metadata = root.xpath(f'//div[@id="{id}"]/descendant::table[@class="metadata"]')
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tr_elements = metadata[0].xpath(".//tr")
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lora_list = []
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# As a workaround to bypass parsing errors in the parser.
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# https://github.com/jiw0220/stable-diffusion-image-metadata/blob/00b8d42d4d1a536862bba0b07c332bdebb2a0ce5/src/index.ts#L130
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metadata_list_str = "Steps: Unknown , Source Identifier: Fooocus ,"
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params = {"meta": {"Source Identifier": "Fooocus"}}
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for tr in tr_elements:
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label = tr.xpath('.//td[@class="label" or @class="key"]/text()')
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value = tr.xpath('.//td[@class="value"]/text()')
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if label:
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k = label[0]
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v = value[0] if value else "None"
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if k == "Fooocus V2 Expansion":
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continue
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if k == "Prompt" or k == "Negative Prompt":
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params[k] = remove_extra_spaces(v.replace("\n", "").strip())
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else:
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v = v.replace(",", "，")
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params["meta"][k] = v
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metadata_list_str += f" {k}: {v},"
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if lora_re.search(k):
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lora_list.append({ "name": v.strip(), "value": 1 })
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params["meta"]["Model"] = params["meta"]["Base Model"]
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params["meta"]["Size"] = str(params["meta"]["Resolution"]).replace("(", "").replace(")", "").replace("，", " * ")
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metadata_list_str = metadata_list_str.strip()
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info = f"""{params['Prompt']}\nNegative prompt: {params['Negative Prompt']}\n{metadata_list_str}""".strip()
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return ImageGenerationInfo(
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info,
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ImageGenerationParams(
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meta=params["meta"],
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pos_prompt=parse_generation_parameters(info)["pos_prompt"],
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extra={
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"lora": unique_by(lora_list, lambda x: x["name"].lower())
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}
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),
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)
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@classmethod
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def test(clz, img: Image, file_path: str):
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filename = os.path.basename(file_path)
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try:
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return get_log_file(file_path).find(filename) != -1
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except Exception as e:
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return False
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