Comparing PCs: i9 RTX 4070 8GB GPU vs. i9 3060 12GB GPU | Generation With Flux Model Of Civit Ai

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  • Опубліковано 28 гру 2024

КОМЕНТАРІ • 16

  • @nodewizard
    @nodewizard 29 днів тому +1

    I convert all of my models to FP8 instead of FP16 to get even faster times! Works for Flux, Pony, Illustrious, SDXL, etc. Also, I've been using ComfyUI for over a year (from A1111) as it's just faster than A1111 or Forge - but many people don't enjoy the spaghetti-like node structure.
    Also, I know the audio is TTS, but it's pronounced "Civit-eye"

    • @jacklamat6315
      @jacklamat6315 15 днів тому

      i got a 4060 i want to learn about ai, wherte do i start??

  • @jacklamat6315
    @jacklamat6315 15 днів тому

    i got a rtx 4060 i want to learn about ai, wherte do i start??

  • @souravroy8834
    @souravroy8834 2 місяці тому

    hey nice video. How about the other version nf42 and gguf can you show the comparison between the other models . it would be nice to see their speed because i am planning to buy a 4060 .

    • @albertosskill246
      @albertosskill246  2 місяці тому

      NF4 is faster and only requires low VRAM. GGUF has many models; if you want to generate faster using this model, try Q3 and Q4.As I tested and gathered information from my friends, I found that VRAM and system RAM play a significant role in generating images. Also, a video card with 'Ti' is faster. Like 3060 Ti. Thanks for watching.

    • @animation-nation-1
      @animation-nation-1 2 місяці тому

      I wouldn't recommend a 4060. 4070ti or 3090 used better. or you will get some issues with controlnet. if you just want to gen images no worries Nf4 Guff is fine.

    • @souravroy8834
      @souravroy8834 2 місяці тому

      @@animation-nation-1 can you elaborate what kind of problem i will face because i am really in budget because in my currency 4070 even 4060 16 gb version is very expensive .

    • @leesmith9568
      @leesmith9568 Місяць тому

      The faster generating test was also using the integrated gpu, you see it running at over 20%

    • @CGFUN829
      @CGFUN829 29 днів тому

      i can run flux scnell gguf q4 with 2060 6g vram 16gb ram in less then 20 seconds after the main laoding.

  • @tanguito34you
    @tanguito34you 2 місяці тому

    Muy buen video , aclara bastantes terminos confusos.
    Seria interesante que pusiseras los prompt o los link de imagenes generadas para copiar los parametros y hacer nosotros nuestras propias comparaciones.
    Gracias

  • @Lemure_Noah
    @Lemure_Noah 18 днів тому

    BNB sucks! Only use it if you run out of all quantization possibilities!