Flux2 Klein 9B True V3 ================================================================================== ✌️✌️✌️ 0Day Support " int4 convrot " quantized format with Comfy Org, Flux2 Klein 9B True V3 int4 convrot.safetensors 针对低显存的用户，推荐 smthemex/ComfyUI UniBlockSwap ，只需 4 6GB 显存，即可跑 bf16 全量模型。 Recommend smthemex/ComfyUI UniBlockSwap plugin for LOW VRAM users, it only requires 4 6GB of VRAM to run the full bf16 model. 您可以尝试一下全新的 ComfyUI GGUF 模型加载插件 smthemex/ComfyUI Dif GGUF ，它能适配更多的 GGUF 文件格式，并且将很快集成低显存(4 8GB)显卡的 GGUF 模型块卸载管理能力。 Recommend to try the new GGUF ComfyUI loader plugin, smthemex/ComfyUI Dif GGUF , it compatible with more GGUF format, and will add low VRAM (4 8GB) management for GGUF soon. Provide Int8 version, it's twice as fast as fp8. Much thanks @ Milor123 to privide Int8 quantized version Flux2 Klein 9B True V3 INT8 ConvRot.safetensors, it can load by ComfyUI INT8 Fast. Also I had to quantized and uploaded the Int8 version of the model, which can be loaded directly with ComfyUI's official node, Flux2 Klein 9B True V3 int8mixedrow.safetensors V3 版本有较大提升，基本解决了 V1 / V2 中存在的一些问题，美学和构图有较大改善。详见以下例图： The version 3 has significant improvements, basically solving some of the is…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy