103 lines
7.0 KiB
Python
Executable File
103 lines
7.0 KiB
Python
Executable File
import os
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from glob import glob
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os.chdir('/media/external/tmp')
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def width(s):
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if len(s)<82:
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s=s+" \x1b[33m"+":"*(82-len(s))
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return s+"\x1b[34m"
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def fidth(s):
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if len(s)<87:
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s=s+" \x1b[33m"+":"*(87-len(s))
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return s+"\x1b[34m"
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FILENAMES=glob('*')
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FILESTATS=[ os.stat(x) for x in FILENAMES ]
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FILEDATAS=[]
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MSG="\x1b[33m"+":"*73
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print(MSG)
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for i,_ in enumerate(FILENAMES):
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try:
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if not os.path.isdir(_):
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if FILESTATS[i].st_size >= 512:
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f=open(_,'rb')
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d=f.read(512)
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f.close()
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FILEDATAS.append(d)
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if d[3:7]==b"\x00\x00\x00\x00":
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if d[8:91]==b'{"__metadata__":{"format":"pt"},"cond_stage_model.transformer.text_model.embeddings':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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else:
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GSM="\x1b[31mFAIL\x1b[33m: \x1b[35mFILE IS UHHH:"
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print(f'\x1b[34m{fidth(GSM)} {_} - STAT: {FILESTATS[i].st_size} - {d[0:127]}')
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elif d[8:50]==b'{"__metadata__":{"ss_batch_size_per_device':
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if FILESTATS[i].st_size < 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR LORA CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[8:55]==b'{"__metadata__":{"format":"pt","sd_merge_recipe':
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR LORA CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[8:42]==b'{"__metadata__":{"ss_cache_latents':
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if FILESTATS[i].st_size < 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR LORA"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[8:77]==b'{"__metadata__":{"format":"pt"},"cond_stage_model.model.ln_final.bias':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT TRAINED"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[8:47]==b'{"alphas_cumprod":{"dtype":"F32","shape':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[8:73]==b'{"cond_stage_model.transformer.text_model.embeddings.position_ids':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:63]==b'\x0bA\x01\x00\x00\x00\x00\x00{"__metadata__":{"ss_network_alpha":"4","ss_network_dim':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:42]==b'\x9cD\x02\x00\x00\x00\x00\x00{"__metadata__":{"ss_network_alpha':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION LORA"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:59]==b'\xf8Q\x02\x00\x00\x00\x00\x00{"lora_te_text_model_encoder_layers_0_mlp_fc1.alpha':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION LORA"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:86]==b'\x1f\\\x02\x00\x00\x00\x00\x00{"cond_stage_model.transformer.text_model.embeddings.position_embedding.weight':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT LORA TRAINED"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:78]==b'\x00\x8b\x02\x00\x00\x00\x00\x00{"__metadata__":{"format":"pt"},"alphas_cumprod":{"dtype":"F32","shape':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION PICKLED TENSOR CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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else:
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MSG="\x1b[31mFAIL\x1b[33m: \x1b[35mFILE IS NOT A CHECKPOINT OR LORA EMBEDDING"
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print(f'\x1b[34m{fidth(MSG)} {_} - STAT: {FILESTATS[i].st_size} - {d[0:127]}')
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else:
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if d[0:35]==b'PK\x03\x04\x00\x00\x08\x08\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x14\x00model':
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if FILESTATS[i].st_size > 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION CHECKPOINT MERGE"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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elif d[0:64]==b'PK\x03\x04\x00\x00\x08\x08\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x12\x00archive/data.pklFB\x0e\x00ZZZZZZZZZZZZZZ':
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if FILESTATS[i].st_size < 200000000:
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MSG="PASS\x1b[33m: \x1b[35mFILE IS A STABLE DIFFUSION TEXTUAL INVERSION"
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print(f'\x1b[32m{width(MSG)} {_} - {FILESTATS[i].st_size}')
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else:
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GSM="\x1b[31mFAIL\x1b[33m: \x1b[31mFILE IS NOT A PT FILE SIGNATURE"
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print(f'\x1b[33m{fidth(GSM)} {_} - STAT {FILESTATS[i].st_size} - {d[0:127]}')
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#print('file read: break')
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else:
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GSM="\x1b[31mFAIL\x1b[33m: \x1b[31mFILESIZE IS TOO SMALL"
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print(f'\x1b[31m{fidth(GSM)} {_} - STAT: {FILESTATS[i].st_size} - {d[0:127]}')
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except Exception as e:
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GSM="\x1b[31mFAIL\x1b[33m: \x1b[31mGENERAL FAILURE"
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print(f'\x1b[31m{fidth(GSM)} {e} - FILE: {_} - STAT: {FILESTATS[i]} - {d[0:7]}')
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MSG="\x1b[33m"+":"*73
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print(MSG) |