Update README.md

README.md

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 ---三个融合模型，1.0偏向2.5d，3.0是适合搭配高清修复绘制1k大图的2d模型，小图效果一般，2.0则是二者之间，比较全面，建议配合”deepnegative”embedding使用，使用时tag可以尽量简洁，推荐参数：Steps: 28, Sampler: DPM++ SDE Karras, CFG scale: 8, Denoising strength: 0.56, Clip skip: 2, ENSD: 31337, Hires upscale: 2, Hires steps: 20, Hires upscaler: Latent (nearest-exact), Eta: 0.67。
 注意，以上参数以外的参数我并没有尝试过，效果无法保证。只推荐vae-ft-mse-840000-ema-pruned作为vae。使用中有问题善用百度/谷歌或者身边的懂哥，融合参数我自己也不记得
+自己通用的负面描述词：worst quality, low quality, normal quality:1.4),(bad anatomy), (inaccurate limb:1.2),bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2),bad anatomy, bad body, bad feet, bad hands, bad proportions, (((blurry))), cropped, cross-eyed, deformed, error, extra arms, extra digit, extra fingers, extra legs, extra limbs, extra digit, fewer digits, fused fingers, gross proportions, jpeg artifacts, long neck, long body, lowres, malformed limbs, missing arms, missing fingers, missing legs, mutated hands, mutation, polar lowres, poorly drawn face, poorly drawn hands, pubic hair, signature, text, too many fingers, username, watermark
+在这个基础上使用”deppnegative”（也许可以更为简短一点效果更好，正面描述词也不推荐太多）
+
 
 Three fusion models, 1.0 biased towards 2.5d, 3.0 is a 2d model suitable for high-definition repair and drawing 1k large images. The small image effect is average, and 2.0 is between the two. It is recommended to use with "deep negative" embedding. When using, the tag can be as simple as possible. Recommended parameters: Steps: 28, Sample: DPM++SDE Karras, CFG scale: 8, Denoising strength: 0.56, Clip skip: 2, ENSD: 31337, Hires upscale: 2, Hires steps: 20, Hires upscaler: Latent (nearest-exact), Eta: 0.67。 Note that I have not tried parameters other than the above parameters, and the effect cannot be guaranteed. Only vae-ft-mse-840000-ema-pruned is recommended as vae