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)

我先向你们展示简单的模型拼接，之后在上传使用的素材，因为纯粹的模型元素并不是那么好看I will first show you the simple model splicing, and then upload the materials used, because pure model elements are not so good-looking.只要加上质量提示词所有的模型都将是美丽的As long as quality prompts are added, all models will be beautiful.{ "sd_merge_models": { "d9e235f231d3a76713c6c02a833b73a15e36dd1190600f48cfd7de5046af4cfb": { "name": "1混合_2中适应性_画风元素_低完成度+特征模型+铅笔特征写实1", "legacy_hash": "496f1b93" }, "f9f3ce99360355433e1da67b8684aa0c175531d60d63afba59464d1b6d0dd447": { "name": "新素材_基础元素_画风融合测试6-23-42.fp16", "legacy_hash": "d4e89f22" } }, "sd_merge_recipe": { "type": "sd-webui-supermerger", "weights_alpha": null, "weights_beta": null, "weights_alpha_orig": null, "weights_beta_orig": null, "model_a": "d9e235f231d3a76713c6c02a833b73a15e36dd1190600f48cfd7de5046af4cfb", "model_b": "f9f3ce99360355433e1da67b8684aa0c175531d60d63afba59464d1b6d0dd447", "model_c": "d9e235f231d3a76713c6c02a833b73a15e36dd1190600f48cfd7de5046af4cfb", "base_alpha": 0.7, "base_beta": 0.02, "mode": "Add difference", "mbw": false, "elemental_merge": "", "calcmode": "trainDifference", "Off": [ "" ] }, "format": "pt" }

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