• Even_Adder@lemmy.dbzer0.com
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    10 months ago

    It’s really hard getting dark skin sometimes. A lot of the time it’s not even just the model, LoRAs and Textual Inversions make the skin lighter again so you have to try even harder. It’s going to take conscious effort from people to tune models that are inclusive. With the way media is biased right now, I feel like it’s going to take a lot of effort.

    • jarfil@beehaw.org
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      10 months ago

      “Inclusive models” would need to be larger.

      Right now people seem to prefer smaller quantized models, with whatever set of even smaller LoRAs on top, that make them output what they want… and only include more generic elements in the base model.

        • jarfil@beehaw.org
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          10 months ago

          Are you ready to run a 100B FP64 parameter model? Or even a 10B FP32 one?

          Over time, I wouldn’t be surprised if 500B INT8 models became commonplace with neuromorphic RAM, but there’s still some time for that to happen.

            • jarfil@beehaw.org
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              10 months ago

              For more inclusive models, or for current ones? In order to add something, either the size has to grow, or something would need to get pushed out (content, or quality). 4GB models are already at the limit of usefulness, both DALLE3 and SDXL run at about 12B parameters, so to make them “more inclusive” they’d have to grow.

              • Even_Adder@lemmy.dbzer0.com
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                10 months ago

                I’m saying SD 1.5 and SDXL capture the concepts just fine, it’s just during fine-tuning people train away some of the diversity.