Flux2-Klein-9B-True-V3
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✌️✌️✌️ 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 issues present in V1/V2, with noticeable enhancements in aesthetics and composition. See the examples below:
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不同量化精度出图质量对比，量化损失很小。High-quality quantization parameters, the loss is very low.
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与官方及旧版模型对比效果。Comparison with the official and old versions.
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V1 - V3 样例与对比。Examples and Comparisons of V1 - V3.
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仅提示词指令图像编辑。Just use instruct prompt to edit image.
提示词：给他穿上粗犷的牛仔服外套，敞开着，露出他原来穿的T恤和图案，戴上一顶帽沿上翘的粗皮质牛仔帽，并让他嘴上叼个烟斗，烟斗上有一缕烟雾。保持图片的其它元素不变。
Prompt: Put him in a rugged denim jacket, open to show the T-shirt and design he was originally wearing, add a thick leather cowboy hat with an upturned brim, and have him holding a smoking pipe with a wisp of smoke. Keep the other elements of the picture unchanged.
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仅提示词 + LoRA 换头、换装等。Prompt + LoRA to do Tryon / Tryoff and Faceswap.
提示词：用图2的女士的脸，完全替换掉图1女士的脸。加 bfs_head_v1 LoRA 权重 0.75 (0.6-0.9)。
Prompt: Use the face of the woman in picture 2 to completely replace the face of the woman in picture 1. (model + lora - bfs_head_v1 weight = 0.75)
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通过 Mask + LoRA 实现图像的区域精准编辑。Precise regional image editing using Mask + LoRA.
(提示词和头像图片同上。The prompt and Face picture 2 are the same as above.)
使用方法, How to use：
与 V1 / V2 版本模型相同，The same with V1 / V2 vesrion.
或者参考 B 站如下大佬们的视频, Please refer to UP's video as below :
感谢：@T8star-Aix， @AI-KSK， @黑鹤001， @蓝色多脑盒， @初级AAA， @山竹老师AIGC， @炮老师的小课堂， @HyLan_L， @雪煮松风， @冰缘排骨， @暴躁小白兔学AI 以及 @活力网TV， 全平台统一号的 @CommintAI 等一众社区大佬对本模型的各种技术评测、详细使用介绍及进一步微调提升等方面的建议和支持。
Also on: Modelscope
特别致谢，Special thanks：
感谢：@亮亮rayne，@GuangyuanSD 在模型调制优化过程一如既往的给与技术、构图、美学、社群等方面的指导和支持。
Thanks to @亮亮rayne and @GuangyuanSD for their usual guidance and support in the model tuning and optimization process, covering technology, composition, aesthetics, community, and more.
模型许可：
本模型请在遵循 black-forest-labs 公司非商业许可 (FLUX Non-Commercial License) 下使用。
This model falls under the FLUX Non-Commercial License.
如果您喜欢我的模型，请支持 ❤️ 我以获得更多的算力来调优模型。
If you like my models, please support ❤️ me for more computing resources to do finetuning work.
