Magic-Wan-Image-V2

Magic-Wan-Image V2.0

逼真肌肤、极致高清，适合人像与实景照片类图像的生成。细节丰富，支持 TTP 直放到 8M 像素。本模型为纯净底模，用户可根据个人喜好组合添加各种 NSFW / SFW 的 LoRA 模型。

Highly realistic skin texture and ultra-high resolution, suitable for generating Portrait and Real-world scenes. rich details and supports direct upscale to 8M pixels using TTP technology. This is pure base model, you can add all kind of NSFW / SFW LoRAs according to you like.

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基础工作流请参见：V2-example-workflow-image.png

Base workflow pls refer to: V2-example-workflow-image.png

Also on: Modelscope, Civitai

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Magic-Wan-Image V1.0

本模型是一个实验模型，是 Wan2.2-T2V-14B 文生视频模型的混调版本，目的是能让广大 Wan 2.2 模型的爱好者，能像使用 Flux 一样，简单方便的使用 Wan2.2 T2V 模型来生成各种图片。Wan 2.2 模型擅长写实类图像的生成，同时兼顾多种风格，由于是视频模型演化而来，模型在生图能力的泛化性方面稍微弱一点。本模型最大的兼顾了模型的写实能力和风格变化，同时尽可能的体现更多的细节，基本上达到与 Flux.1-Dev 模型相当的创作力和表现力。模型的混调方法是将 Wan2.2-T2V-14B 模型的 High-Noise 和 Low-Noise 两部分分层进行不同权重比例的混合，再简单微调而成。目前是一个实验模型，可能还存在一些不足之处，欢迎大家试用并反馈信息，以便在未来版本改进。

This model is an experimental model. A mixed and finetuned version of the Wan2.2-T2V-14B text-to-video model, Let many enthusiasts of the Wan 2.2 model to easily use the Wan2.2 T2V model to generate various images, similar to use the Flux model. The Wan 2.2 model excels at generating realistic images while also accommodating various styles. However, since it evolved from a video model, its generative capabilities for raw images are slightly weaker. This model balances the realistic capabilities and style variations while striving to include more details, essentially achieving creativity and expressiveness comparable to the Flux.1-Dev model. The mixing method used for this model involves layering the High-Noise and Low-Noise parts of the Wan2.2-T2V-14B model and blending them with different weight ratios, followed by simple fine-tuning. Currently, it is an experimental model that may still have some shortcomings, and we welcome everyone to try it out and provide feedback for improvements in future versions.

使用方法：

请参见例图工作流：V2-example-workflow-image.png

model shift: 1.0 - 8.0，您可以自己尝试；

model cfg: 1.0 -4.0，您可以自己尝试；

inference steps: 20 -50， 您可以自己尝试；

sample / schduler: deis/simple 或 euler/beta，或任意组合，您可以自己尝试。

Also on: Modelscope, Civitai

The model under Apache 2.0.