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iKlsR
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Can I save blend files with lzma instead of gzip?

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ideasman42
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save blend files with lzma instead of zipgzip?

I compiled blender with Lzma on, but when I check "compress file" while saving, it seems to compresscurrently compresses with zipgzip (deflate ?zlib).

Is there a special compile option to change it? Or can I do a save script in python that compress/decompress to/from lzma (without writing to the HDD).

I'm working on very big files and Lzma2 (tested by compressing to .xz with linux) is between 2x and 3x smaller and not much slower because multi threaded.

save blend files with lzma instead of zip?

I compiled blender with Lzma on, but when I check "compress file" while saving, it seems to compress with zip (deflate ?).

Is there a special compile option to change it? Or can I do a save script in python that compress/decompress to/from lzma (without writing to the HDD).

I'm working on very big files and Lzma2 (tested by compressing to .xz with linux) is between 2x and 3x smaller and not much slower because multi threaded.

save blend files with lzma instead of gzip?

I compiled blender with Lzma on, but when I check "compress file" while saving, it currently compresses with gzip (zlib).

Is there a special compile option to change it? Or can I do a save script in python that compress/decompress to/from lzma (without writing to the HDD).

I'm working on very big files and Lzma2 (tested by compressing to .xz with linux) is between 2x and 3x smaller and not much slower because multi threaded.

Tweeted twitter.com/#!/StackBlender/status/373872221753982977
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matali
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save blend files with lzma instead of zip?

I compiled blender with Lzma on, but when I check "compress file" while saving, it seems to compress with zip (deflate ?).

Is there a special compile option to change it? Or can I do a save script in python that compress/decompress to/from lzma (without writing to the HDD).

I'm working on very big files and Lzma2 (tested by compressing to .xz with linux) is between 2x and 3x smaller and not much slower because multi threaded.