vintage lens

 

Vintage~1980 500mm f8 Infinity isn't infinity.
Focus the moon until it is sharp. Keep that focus.

Here is the definitive solution:

py3.14 google-crc32c

Warning message launching setiastrosuitepro:

sasp-314/venv/lib/python3.14/site-packages/google_crc32c/__init__.py:29: RuntimeWarning: As the c extension couldn't be imported, google-crc32c is using a pure python implementation that is significantly slower. If possible, please configure a c build environment and compile the extension warnings.warn(_SLOW_CRC32C_WARNING, RuntimeWarning)

So, we activate the source venv and...

pip install -U google-crc32c

ola

 Dúnia y Ana, camareras de Bar La Plaça, refieren a la sauna...

z840 dual cpu ram order

 

mw season

 Finally time to get out the nebula filter.

wolf-rayet wr134 in cygnus
veTEC571 on sv550     120x4min @ hcg100

supernova remnant ngc6888 crescent in cygnus

veTEC571 on sv550     80x4min @ hcg100

bright nebula lbn251 in cygnus
veTEC571 on sv550     40x4min @ hcg100

autofirma

We need the PFX/PKCS#12 option to find our .p12 certificate:
 

quadro p5000

Install the nvidia drivers. It's just two cliks:

 nvidia-smi

Sun Jul  5 13:36:18 2026        

+-----------------------------------------------------------------------------------------+

| NVIDIA-SMI 580.159.03             Driver Version: 580.159.03     CUDA Version: 13.0     |

+-----------------------------------------+------------------------+----------------------+

| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |

| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |

|                                         |                        |               MIG M. |

|=========================================+========================+======================|

|   0  Quadro P5000                   Off |   00000000:03:00.0  On |                  Off |

| 28%   45C    P0             37W /  180W |     431MiB /  16384MiB |      0%      Default |

|                                         |                        |                  N/A |

+-----------------------------------------+------------------------+----------------------+

Install the toolkit:
sudo apt install nvidia-cuda-toolkit

Launch setiastrosuitepro.py. It will create the runtime venv on the first start at:
~/.local/share/SASpro/runtime/py31x

Activate the venv (under py312 or py314)
Than it's simply:

cd ~/.local/share/SASpro/runtime/py312
or, depending upon which python version you used to build the git:
cd ~/.local/share/SASpro/runtime/py314

. venv/bin/activate

Install torch:
pip install torch==2.10.0 torchvision==0.25.0 --index-url https://download.pytorch.org/whl/cu126

OR for py3.14 simply:

pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126
Which pulls torch 2.13.0 and torchvision 0.28.0 instead

Don't forget to install some models:

Thrash it for a while. CC denoise is good for that. Then check the thermals: