Chinese Ink Painting style LoRa（中国水墨风）

如果您使用此模型有更好的创意产品，请在评论区 分享你的产品 和 参数

非常感谢 ，分享不易，感谢支持，请小心处理生成的图像，并自行承担风险。

禁止对社区的发展产生不利影响的行为和侵犯个人权利和隐私的使用行为。

禁止用于生产(生成)违反国家禁止传播的内容和行为！！！

提示:素材参数中对应LORA 请自行修改或去除

中国传统山水国画风格

这是一个用来生成山水风景景观的Lora模型

推荐权重：0.8

no humans, tree, architecture, east asian architecture, scenery, building, white background, fog, outdoors

 <lora:Style Chinese_Ink_Painting:0.8>

Negative prompt: verybadimagenegative_v1.3, bad-hands-5, easynegative, NG_DeepNegative_V1_75T, (by bad-artist:0.9), (bad_prompt_version2:0.9), (censored:1.3), censorship, bar censor, mosaic censoring, blur censor, multiple views, collage, projected inset, plain background, simple background, lowres, ((bad anatomy)), bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, artist name, signature, watermark, username, (text), caption, ((blurry)), merge body parts, extra legs, extra hands, extra arms, distorted arms, malformed arms, mutation, bad body, bad legs

ENSD: 31337, Size: 512×768, Seed: 1339282037, Model: noosphere_v2, Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Clip skip: 2, Model hash: a32c345ff3

bamboo forest, river, mountains <lora:Style Chinese_Ink_Painting:0.8>

Negative prompt: verybadimagenegative_v1.3, bad-hands-5, easynegative, NG_DeepNegative_V1_75T, (by bad-artist:0.9), (bad_prompt_version2:0.9), (censored:1.3), censorship, bar censor, mosaic censoring, blur censor, multiple views, collage, projected inset, plain background, simple background, lowres, ((bad anatomy)), bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, artist name, signature, watermark, username, (text), caption, ((blurry)), merge body parts, extra legs, extra hands, extra arms, distorted arms, malformed arms, mutation, bad body, bad legs

ENSD: 31337, Size: 512×768, Seed: 1052337277, Model: noosphere_v2, Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Clip skip: 2, Model hash: a32c345ff3

waterfall, forest

<lora:Style Chinese_Ink_Painting:0.8>

Negative prompt: verybadimagenegative_v1.3, bad-hands-5, easynegative, NG_DeepNegative_V1_75T, (by bad-artist:0.9), (bad_prompt_version2:0.9), (censored:1.3), censorship, bar censor, mosaic censoring, blur censor, multiple views, collage, projected inset, plain background, simple background, lowres, ((bad anatomy)), bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, artist name, signature, watermark, username, (text), caption, ((blurry)), merge body parts, extra legs, extra hands, extra arms, distorted arms, malformed arms, mutation, bad body, bad legs

ENSD: 31337, Size: 512×768, Seed: 1771655343, Model: noosphere_v2, Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Clip skip: 2, Model hash: a32c345ff3

no humans, tree, mountain, bird, scenery, outdoors, branch, sky, cherry blossoms, monochrome, fog, spot color

ENSD: 1337, Size: 512×768, Seed: 1775600990, Model: v1-5-pruned, Steps: 30, Sampler: Euler a, CFG scale: 7, Clip skip: 2, Model hash: 1a189f0be6, AddNet Enabled: True, AddNet Model 1: Chinese_Ink_Painting_style(1961bfeb51f0), AddNet Module 1: LoRA, AddNet Weight A 1: 0.8, AddNet Weight B 1: 0.8

no humans, bird, branch, monochrome, chinese text, greyscale, tree, animal focus, white background, flower, fog, animal, leaf

ENSD: 1337, Size: 512×768, Seed: 4176073433, Model: v1-5-pruned, Steps: 30, Sampler: Euler a, CFG scale: 7, Clip skip: 2, Model hash: 1a189f0be6, AddNet Enabled: True, AddNet Model 1: Chinese_Ink_Painting_style(1961bfeb51f0), AddNet Module 1: LoRA, AddNet Weight A 1: 1, AddNet Weight B 1: 1

no humans, tree, architecture, east asian architecture, scenery, building, white background, fog, outdoors

ENSD: 1337, Size: 512×768, Seed: 3051696672, Model: v1-5-pruned, Steps: 30, Sampler: Euler a, CFG scale: 7, Clip skip: 2, Model hash: 1a189f0be6, AddNet Enabled: True, AddNet Model 1: Chinese_Ink_Painting_style(1961bfeb51f0), AddNet Module 1: LoRA, AddNet Weight A 1: 1, AddNet Weight B 1: 1