我不知道你们怎么看待模型混合，但是LORA明显比模型混合更有热度。我会尽力去尝试给你们演示我的发现，当然你们也可以解释这些现象。I don't know how you view model blending, but Lora is clearly more popular than model blending. I will do my best to demonstrate my findings to you, and of course, you can also explain these phenomena.模型的属性：不是指画面属性，我发现了两个特殊的模型，因为它们的特点非常明显所以我称呼这些模型为基础模型，和画风模型。Model attributes: It does not refer to visual attributes. I have discovered two special models. Because their characteristics are very obvious, I refer to these models as basic models and art style models.基础模型：你应该能看出来这两个的相似点，那就是缺少特色。事实上这种模型也存在超浓缩无法正常生成图像的现象。Basic model: You should be able to see the similarity between the two, which is the lack of distinctive features. In fact, this type of model also has the phenomenon of super-condensation that cannot generate images normally.画风模型：这类模型缺少画面生成的完整性，如果再次减弱模型的基础元素的话就会彻底无法正常的生成图像。我猜测这是对模型元素的提纯Art Style Model: This type of model lacks the completeness of image generation. If the basic elements of the model are further weakened, it will completely fail to generate images normally. I speculate that this is a refinement of the model elements.嗯，我想也不会有人在意这些，糟糕的是我也非常怀疑我的发现是否正确，我感觉自己就是舞台上小丑。糟糕透了Well, I don't think anyone cares about these things. The problem is that I also highly doubt whether my discovery is correct. I feel like I'm just a clown on stage. It's really terrible.

Speculation (Model elements)

为了演示，这个模型我只进行了简单的拼凑。好吧，我想也不会有很多人在乎这些。For the demonstration, I only made a simple assembly of this model. Well, I don't think many people would care about these.因为没有进行过多融合，所以它很普通Because there has not been much fusion, it is very ordinary.{ "format": "pt", "sd_merge_models": { "3d5b9adeb29cc1b3c2773e909638de6989bd17e320dab44912615cb52db998c9": { "name": "新素材_画风元素_6-25提取-10.fp16", "legacy_hash": "9fc9d4fb" }, "676a8ba8efd142801aa9a24cb75bbcde6118723e60c8692aa489e241da2de8a0": { "name": "1混合_3高适用性_基础元素_5-30定向融合20.fp16", "legacy_hash": "01d000e8" } }, "sd_merge_recipe": { "type": "sd-webui-supermerger", "weights_alpha": null, "weights_beta": null, "weights_alpha_orig": null, "weights_beta_orig": null, "model_a": "3d5b9adeb29cc1b3c2773e909638de6989bd17e320dab44912615cb52db998c9", "model_b": "676a8ba8efd142801aa9a24cb75bbcde6118723e60c8692aa489e241da2de8a0", "model_c": "3d5b9adeb29cc1b3c2773e909638de6989bd17e320dab44912615cb52db998c9", "base_alpha": 0.55, "base_beta": 0.02, "mode": "Add difference", "mbw": false, "elemental_merge": "", "calcmode": "trainDifference", "Off": [ "" ] } }

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