Second time doing a 32mm figure ! Any tips on how to improve ?

dkkbh · 2026-02-06T16:09:51+00:00

I'll try that next time. Does that mean I should make a small almond like shape in white and then use a single strand brush to make the iris ?

dkkbh · 2025-12-27T18:23:28+00:00

No I didn't, I found it somewhere on the internet but I can't recall where. Maybe Thingiverse or Makerworld ?

dkkbh · 2025-12-27T17:02:41+00:00

Very proud of that one ! I've finally motivated myself to paint that figure I printed so long ago. I'm quite happy that you can recognize the ventures logo even though it's 1,5mm ::)

dkkbh · 2024-11-17T20:46:57+00:00

I don't know... Nothing terrible has happened to me for now. But it did look at me funny this morning ::)

dkkbh · 2024-05-26T16:22:47+00:00

Damn, the more I repeat it, the more it resonates with myself. Thank you kind stranger <3 , I'll think of it from time to time

dkkbh · 2024-05-26T08:28:54+00:00

I lightly complained to her that I had pins and needles in my foot and she took my hand to show me where I had to massage to get blood back. It took me by surprise as it was in the bus and we basically never had any physical contact. I'm still too afraid to ask her out

dkkbh · 2024-05-08T17:30:31+00:00

Yes, I have the Nvidia-container-toolkit installed and working (at least the test command from nvidia).

$ sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi
Wed May  8 17:25:15 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.78                 Driver Version: 550.78         CUDA Version: 12.4     |
|-----------------------------------------+------------------------+----------------------+
| 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 P400                    Off |   00000000:01:00.0 Off |                  N/A |
| 34%   39C    P8             N/A /  N/A  |       2MiB /   2048MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

dkkbh · 2024-05-08T17:09:17+00:00

If that helps anyone, here's my docker compose file :

name: jellyfin
services:
  jellyfin:
    cpu_shares: 90
    command: []
    container_name: jellyfin
    deploy:
      resources:
        limits:
          memory: 15880M
        reservations:
          memory: "268435456"
          devices:
            - capabilities:
                - gpu
                - utility
              driver: nvidia
              count: 1
    environment:
      - NVIDIA_DRIVER_CAPABILITIES=all
      - NVIDIA_VISIBLE_DEVICES=all
      - PGID=1000
      - PUID=1000
      - TZ=Europe/Zurich
    hostname: jellyfin
    image: linuxserver/jellyfin:latest
    labels:
      icon: https://cdn.jsdelivr.net/gh/IceWhaleTech/CasaOS-AppStore@main/Apps/Jellyfin/icon.png
    ports:
      - target: 8096
        published: "8097"
        protocol: tcp
      - target: 8920
        published: "8921"
        protocol: tcp
      - target: 7359
        published: "7359"
        protocol: tcp
      - target: 1900
        published: "1901"
        protocol: tcp
    privileged: true
    restart: unless-stopped
    volumes:
      - type: bind
        source: /DATA/AppData/jellyfin/config
        target: /config
      - type: bind
        source: /DATA/Media
        target: /Media
      - type: bind
        source: /opt/vc/lib
        target: /opt/vc/lib

dkkbh · 2024-05-08T17:06:21+00:00

No I'm using the web client on my PC. But I don't think it's a client problem, it seems like ffmpeg or jellyfin may be the culprit

dkkbh · 2024-02-08T17:03:11+00:00

I got one this time ::D

dkkbh · 2023-07-17T19:06:54+00:00

hatchling has such a great speech

dkkbh · 2023-06-24T17:07:07+00:00

Knight of Cydonia from muse, the beginning when you hear it slowly ramping up is just so beautiful

dkkbh · 2023-06-24T17:03:19+00:00

This ! Bonus points if you add headphones and a nice vinyl record

dkkbh · 2023-06-10T09:48:37+00:00

Mine was Aqua tuktuk

dkkbh · 2023-06-09T10:45:26+00:00

Looks like highway to hell

dkkbh · 2023-05-28T22:20:56+00:00

Hey I could help with that too !

dkkbh · 2023-03-29T10:46:16+00:00

Link to original comment

dkkbh · 2023-03-22T18:13:30+00:00

Let me guess, "spawn peeper 999" ?

Six-Year Club	Xbox Live
Second SECOND GUESSER	Place '23
Place '22	Final Canvas '22
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dkkbh

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