
making oddly specific things with ai. sometimes useful. @MosiAI_Official @Open_MOSS 🦋 ex @novita_labs
Joined February 2025
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so much love from the community for MOSS-Image
API is dropping in 24hrs!
join our discord if you want early access 👇
MOSS-Image API is coming soon in 24hrs
Join MOSS discord for FREE early access 👉 discord.gg/Wjku5AYyxx
Ting Chen Liang retweeted
Moss Img 🥰 NiceGirls v2 Realism Lora
👇
huggingface.co/Danrisi/niceg…
Ting Chen Liang retweeted
Moss Img 🙂 canon LoRA
Canon shot styled image gen
huggingface.co/Danrisi/canon…
my tip is, always use a llm to enhance your raw prompts
detailed prompts work better with moss image imo
Replying to @ting_
I feel that prompts are very important, but it's not easy to create prompts that produce natural-looking images. Do you have any tips?
Moss-Image is pretty good at complex prompts
(Prompt below)
MOSS Image Base vs SFT - seed 42 - 50 steps
hometown theme 🧋😋
I prefer SFT with left side element and layout, but the human I prefer Base - looks sooo natural, looks really alike to my high school classmates
in general, i think Base has the best natural girls than any other image gen models, variety of faces, and natural skin tone - even closed models like seedream, gpt etc has a very obvious AI girl look & skin texture
if you also like natural human gen, try MOSS Image Base
as usual, prompts below 👇
MOSS Image Base vs SFT - seed 42 - 50 steps
hometown theme 🧋😋
I prefer SFT with left side element and layout, but the human I prefer Base - looks sooo natural, looks really alike to my high school classmates
in general, i think Base has the best natural girls than any other image gen models, variety of faces, and natural skin tone - even closed models like seedream, gpt etc has a very obvious AI girl look & skin texture
if you also like natural human gen, try MOSS Image Base
as usual, prompts below 👇
{
"subject": {
"identity": "成年台湾女性",
"position": "画面右侧,站在台北街头饮料自动贩卖机前",
"pose": "单腿站立,另一条腿向外侧抬起并弯曲,脚踝靠近支撑腿膝部;身体略微倾斜,双臂自然向两侧下垂",
"gaze": "侧头看向画面右方",
"expression": "自然、随意,略带出神",
"hair": "黑色高马尾,轻薄碎刘海,脸侧留有细发丝"
},
"clothing": {
"top": {
"type": "宽松奶油白色半拉链连帽卫衣",
"fit": "落肩、长袖,衣摆覆盖臀部",
"details": [
"胸前蓝色英文印字",
"前方大口袋",
"袖口有小型蓝色圆形图案"
],
"visible_text": "wish for you",
"text_layout": "蓝色字母分行排列,部分受衣服褶皱遮挡"
},
"bottom": "灰色百褶超短裙,裙边从宽大卫衣下露出",
"legwear": "奶油白色针织长腿套,从膝下延伸到脚背,带堆叠褶皱与细绑带",
"shoes": "黑色漆皮搭扣鞋,银色金属扣件,搭配白色袜子",
"accessories": [
"米白色细肩带包",
"细银色项链"
]
},
"environment": {
"setting": "晴天的台北中山街区住宅小巷,真实日常街景",
"vending_machine": {
"position": "人物身后,画面右侧,局部被右边缘裁切",
"appearance": "白色台湾饮料自动贩卖机,透明展示窗,多排瓶罐饮料",
"products": [
"绿色包装的台湾瓶装绿茶",
"蓝白包装的运动饮料",
"红色包装的台湾罐装红茶",
"米黄色包装的豆奶",
"透明瓶装矿泉水"
],
"details": [
"饮料标签使用繁体中文",
"价格标示 NT$25、NT$30、NT$35",
"展示窗下方有选择按钮",
"机身下部有取货口",
"小型付款说明贴纸"
]
},
"background": [
"狭窄的深灰色柏油巷道",
"米白色与浅灰色小方砖外墙",
"老公寓阳台、铁窗与外挂机",
"局部骑楼柱与绿色遮雨棚",
"墙边停放少量机车,不遮挡人物",
"繁体中文竖向店招",
"远处楼宇之间露出小小的台北101轮廓",
"局部浅蓝天空与架空电线"
],
"ground": "灰色水泥路缘、磨损的人行道、矩形检修盖,巷口露出一小段红色路缘线",
"localization": "街景呈现台湾城市生活细节,环境文字采用繁体中文"
},
"layout": {
"structure": "左侧白底台北旅行剪贴簿拼贴,右侧连续完整的街头穿搭照片",
"division": "左侧约占画面四成多,右侧略宽,分界线垂直清晰",
"photo_placement": "街拍照片从顶部延伸到底部,人物全身可见",
"collage_background": "纯白色",
"edge_treatment": "平面硬边裁切,无相框、无投影",
"interaction": "左侧照片字母与贴纸局部重叠,少量元素靠近左右分界线"
},
"typography": {
"main_text": "TAIPEI",
"font": "超大号、超粗字重的无衬线英文字母,笔画宽厚,字腔清楚",
"construction": "六个独立的照片字母剪贴块,每个字母单独旋转和移动,组成从左上向右下摆动的锯齿式纵向路径",
"reading_order": "从上到下依次为 T、A、I、P、E、I",
"overall_gesture": "像随手剪下并歪斜贴上的巨型字母,重心左右交替,形成强烈的倾斜节奏",
"letter_transforms": [
{
"letter": "T",
"position": "左侧拼贴区顶部,略偏左",
"rotation": "顺时针旋转15度",
"scale": "很大,顶部局部超出画面"
},
{
"letter": "A",
"position": "T下方,向右错开",
"rotation": "逆时针旋转12度",
"scale": "很大,与T的局部轮廓接近或轻微重叠"
},
{
"letter": "I",
"position": "A下方,向左明显错开",
"rotation": "顺时针旋转19度",
"scale": "使用带上下横杠的大写I,保持辨识度"
},
{
"letter": "P",
"position": "拼贴区中下部,向右错开",
"rotation": "逆时针旋转16度",
"scale": "宽大,字腔完整可见"
},
{
"letter": "E",
"position": "P下方,向左错开",
"rotation": "顺时针旋转13度",
"scale": "宽大,横向笔画清楚"
},
{
"letter": "I",
"position": "拼贴区底部,向右错开",
"rotation": "逆时针旋转18度",
"scale": "使用带上下横杠的大写I,底部可轻微超出画面"
}
],
"spacing": "字距不均匀,部分字母轻微叠压,白色负空间呈不规则楔形",
"fill": {
"method": "用不同台北街景照片填充字母笔画,形成清晰的照片蒙版",
"images": [
"台北捷运列车与高架轨道",
"老公寓立面与铁窗",
"骑楼、繁体中文店招与街边机车",
"斑马线与路口标线",
"林荫街道与城市建筑",
"远景台北101"
],
"treatment": "街景照片保持自然方向,字母外轮廓独立歪斜,字母以外完全留白"
},
"constraints": [
"不要把TAIPEI作为一段整齐的竖排文字",
"不要让六个字母共用一条笔直中轴线",
"不要仅将整组文字统一旋转",
"每个字母必须具有独立且明显的倾斜角度",
"保持TAIPEI拼写准确,不重复、不遗漏字母"
]
},
"collage_elements": {
"mascot": {
"appearance": "一只可爱的台湾黑熊立体玩偶,圆耳朵、黑色身体,胸前有明显白色V形斑纹,脸颊带淡粉色",
"pose": "双臂张开,表情开心",
"placement": "左上方,叠在T与A的边缘",
"style": "复古低精度三维游戏角色贴纸",
"edge": "沿角色轮廓直接抠图,无方形背景"
},
"flower": {
"appearance": "一小枝白色油桐花,五片白色花瓣、淡黄色花心,搭配少量绿叶与细枝",
"placement": "左侧上半部靠右,沿倾斜字母边缘向下延伸",
"style": "真实植物照片抠图"
},
"receipt": {
"appearance": "台湾便利商店的细长白色热敏纸电子发票证明联",
"header": "全家便利商店",
"visible_text": [
"電子發票證明聯",
"臺北市中山區",
"合計 NT$85"
],
"details": [
"顶部有发票号码与日期小字",
"下方排列商品明细与金额",
"底部有两个并排的黑白二维码和条码",
"全部采用繁体中文"
],
"placement": "左侧中部偏右,覆盖部分照片字母",
"rotation": "顺时针旋转约15度",
"texture": "略有折痕的热敏纸,边缘轻微不规则"
},
"dessert": {
"appearance": "一碗台湾芒果雪花冰,浅色碗中堆起细薄奶白冰片,铺满鲜黄色芒果块,顶部放一球芒果冰淇淋并淋少量炼乳",
"secondary_item": "旁边放一小碟切开的金黄色凤梨酥",
"placement": "左下方,局部超出左边缘,轻微遮住E的笔画",
"style": "真实食物摄影抠图,保留冰片、果肉和酥皮质感"
},
"drink": {
"appearance": "一杯台湾珍珠奶茶,透明外带杯,浅奶茶色饮品,底部清晰可见黑色珍珠,封膜杯口插入粗吸管",
"label": "小型白色标签,印繁体中文「珍珠奶茶」",
"placement": "左侧底部靠近左右分界处,略微倾斜,杯底局部超出画面",
"style": "真实饮品照片抠图,保留杯壁冷凝水"
}
},
"composition": {
"camera_angle": "接近人物胸口高度的平视街拍",
"framing": "人物全身入镜,偏右站立,保留售货机与巷道纵深",
"left_side_rhythm": "巨型歪斜字母左右交错,大小贴纸穿插其间,形成不规则但可读的旅行拼贴",
"right_side_rhythm": "人物照片连续完整,不切碎,不覆盖大型文字",
"visual_hierarchy": [
"右侧人物与抬腿姿态",
"左侧独立旋转的TAIPEI照片字母",
"台湾便利商店发票",
"台湾黑熊、芒果冰与珍珠奶茶",
"台北巷弄与饮料贩卖机"
]
},
"lighting": {
"type": "自然日光",
"quality": "明亮但不过曝,巷道有柔和阴影",
"skin": "自然肤色,保留真实纹理",
"materials": "贩卖机玻璃有轻微反光,漆皮鞋和饮料杯保留自然高光",
"finish": "日常数码相机街拍质感"
},
"color": {
"base": [
"纯白",
"奶油白",
"水泥灰",
"黑色"
],
"accents": [
"卫衣印字的蓝色",
"贩卖机饮料的绿色与红色",
"芒果黄",
"奶茶棕",
"街边植物绿"
],
"grading": "轻微低饱和、自然柔和,食物贴纸保留鲜明但真实的色彩"
},
"style": {
"medium": "真实台北街头摄影、照片字母蒙版与本地旅行物件抠图结合的数字拼贴",
"aesthetic": [
"台北旅行剪贴簿",
"台湾街头穿搭",
"复古数码快照",
"轻量Y2K",
"个人旅行视觉日记"
],
"texture": "轻微像素感、颗粒与压缩质感,抠图边缘清楚,排版带手工随意感",
"presentation": "直接输出平面拼贴成品"
},
"negative": [
"TOKYO字样",
"日本街景",
"日文包装",
"LAWSON小票",
"日元价格",
"日本铁路标志",
"樱花枝",
"整齐竖排的TAIPEI",
"六个字母垂直对齐",
"所有字母采用相同倾斜角度",
"普通纯色文字代替照片字母",
"错误拼写或遗漏字母",
"贴纸遮挡导致字母无法辨认",
"海报样机",
"实体相框",
"厚重投影",
"整张画面插画化",
"全场景三维渲染",
"霓虹赛博朋克",
"过度磨皮",
"额外人物",
"额外大标题",
"水印",
"界面按钮"
]
}
MOSS-Image Base vs SFT both Seed 42, 50 steps
see how it handles 9 pictures and sticker layer with texts in one gen
amazing
prompts 👇
{
"subject": {
"theme": "咖啡馆与餐厅探店合集",
"content": "九张不同店铺的环境照片,每张叠加对应饮品或食物的白边抠图贴纸",
"people": "场景以室内空间与食物为主,避免出现明显人物主体"
},
"layout": {
"structure": "三行三列的九宫格拼贴",
"spacing": "九个格子无间距、无分隔线,紧密拼接",
"cell_shape": "每格均为竖向长方形",
"background_coverage": "每张店铺环境照片铺满所在格子",
"consistency": "各格统一使用食物贴纸与小号英文标签,保留不同店铺的空间特色"
},
"panels": [
{
"position": "左上",
"background": "略暗的咖啡馆一角,左侧有百叶窗,中央黑色杂志架摆满时尚与音乐刊物,下方露出暖棕色木板",
"food_sticker": {
"items": [
"一杯奶咖,顶部堆放金黄酥脆点心",
"一杯带橙片的透明冰饮",
"深色托盘与银色小勺"
],
"placement": "格子中央偏下",
"arrangement": "前后叠放,冰饮在后,奶咖在前"
},
"label": {
"text": "coffee.",
"placement": "右下方"
}
},
{
"position": "中上",
"background": "米色极简餐厅,墙面嵌入暖木色展示架,整齐摆放杯具,前方是小餐桌与黑色圆凳",
"food_sticker": {
"items": [
"一盘铺有培根、绿叶菜与酱汁的可丽饼",
"一杯鲜绿色冷饮",
"一小杯深色饮品"
],
"placement": "格子中央",
"arrangement": "餐盘在前,两杯饮品错落放在上方"
},
"label": {
"text": "Bacon crepes",
"placement": "餐盘下方偏右"
}
},
{
"position": "右上",
"background": "复古木质咖啡馆,顶部悬挂大型米白色纸灯,墙上有小幅相框,窗边摆放木桌与深色椅子",
"food_sticker": {
"items": [
"一盘搭配草莓和水果的华夫饼",
"两只花纹陶瓷咖啡杯",
"小型猫与狮子造型摆件",
"一份小甜点与餐具"
],
"placement": "格子中央偏上",
"arrangement": "组合成横向展开的小型下午茶静物"
},
"label": {
"text": "Waffles and coffee.",
"placement": "贴纸下方"
}
},
{
"position": "左中",
"background": "植物茂密的街边咖啡馆入口,红砖墙、白色木窗、复古玻璃门与小型白色花架",
"food_sticker": {
"items": [
"一杯深棕色冰咖啡",
"一杯浅色奶盖饮品",
"一杯顶部点缀绿色碎屑的奶咖"
],
"placement": "格子中央",
"arrangement": "三只透明外带杯从左上向右下阶梯式排列"
},
"label": {
"text": "coffee.",
"placement": "左侧中部"
}
},
{
"position": "正中",
"background": "暖棕色小餐厅,墙面公告板贴满拍立得照片与手写纸片,前方木桌上摆放水杯和小餐盘",
"food_sticker": {
"items": [
"一盘烤肉、绿叶菜与配菜",
"一杯装在黑色杯中的饮品"
],
"placement": "格子中央",
"arrangement": "白色圆餐盘在下方,黑色饮品杯位于左上方"
},
"label": {
"text": "Western food",
"placement": "左下方"
}
},
{
"position": "右中",
"background": "日式甜品店,顶部有带黑色手写字和小屋图案的大型纸灯笼,后方是街景窗口,下方摆放暖木色圆桌",
"food_sticker": {
"items": [
"一碗铺满橙黄色芒果块的刨冰,顶部有白色奶油",
"另一份黄色水果甜品",
"小型白色动物造型摆件"
],
"placement": "格子中央偏上",
"arrangement": "两份甜品上下错落,白色摆件穿插其间"
},
"label": {
"text": "Fruit smoothie",
"placement": "贴纸下方偏左"
}
},
{
"position": "左下",
"background": "街边咖啡店入口,深绿色门框、玻璃窗、复古招牌与暗红色椅子,室外有自然绿植",
"food_sticker": {
"items": [
"一杯橙粉色冰饮",
"一杯装在粉色条纹陶瓷杯中的热咖啡",
"杯碟与银色托盘"
],
"placement": "格子中央",
"arrangement": "冰饮在左上,粉色咖啡杯在右下"
},
"label": {
"text": "coffee.",
"placement": "左侧偏下"
}
},
{
"position": "中下",
"background": "浅绿色竖向小瓷砖吧台,搭配暖木色台面,后方米色墙面上有装饰画、植物与拱形木板",
"food_sticker": {
"items": [
"一盘金黄色烤物与小碟蘸酱",
"一杯绿色冰饮",
"透明玻璃水壶和水杯",
"黄色小熊造型玩偶",
"一小碗白米饭"
],
"placement": "格子中央偏下",
"arrangement": "组成紧凑的餐桌静物贴纸,餐盘在前,饮品和水壶在后"
},
"label": {
"text": "Thai food",
"placement": "右上方"
}
},
{
"position": "右下",
"background": "暖米色面包咖啡馆,墙边有高大的室内植物,后方摆放木质家具,前景是摆有小物的餐桌",
"food_sticker": {
"items": [
"装在浅色纸托与外带餐盒中的金黄色面包三明治"
],
"placement": "格子中央",
"arrangement": "单个较大的面包贴纸,保留包装轮廓"
},
"label": {
"text": "Bread",
"placement": "贴纸右下方"
}
}
],
"sticker_treatment": {
"method": "将真实食物照片沿外轮廓精细抠图,再叠加于店铺环境照片上",
"outline": "连续的乳白色手工描边,略有自然起伏",
"border_width": "中等偏细,足以将食物与背景分离",
"grouping": "相邻食物与餐具可组合为一张不规则贴纸,内部空隙保留自然镂空",
"scale": "每组贴纸约占所在格子宽度的一半至四分之三",
"edges": "保留杯柄、吸管、餐具与包装的细小轮廓",
"shadow": "极轻微或无投影,保持平面剪贴簿效果"
},
"typography": {
"font": "白色小号打字机衬线字体",
"weight": "常规字重",
"alignment": "随各格构图自由放置",
"treatment": "直接叠在照片上,无底色框,无粗描边",
"text_content": [
"coffee.",
"Bacon crepes",
"Waffles and coffee.",
"coffee.",
"Western food",
"Fruit smoothie",
"coffee.",
"Thai food",
"Bread"
]
},
"photography": {
"background_images": "手机随手拍摄的咖啡馆与餐厅环境,保留真实空间透视和局部裁切",
"food_images": "近距离真实食物摄影,食物清晰,质感自然",
"lighting": "柔和自然光与室内暖光混合,各格略有差异",
"exposure": "环境略暗,食物贴纸相对明亮",
"texture": "轻微颗粒与手机照片压缩感,不过度锐化"
},
"color": {
"overall_palette": [
"暖木棕",
"奶油白",
"米色",
"植物绿",
"深灰黑"
],
"food_accents": [
"咖啡棕",
"抹茶绿",
"芒果橙黄",
"草莓红",
"淡粉色"
],
"grading": "自然、温暖、略低饱和,九张照片保持相近色温"
},
"style": {
"medium": "真实摄影与白边食物贴纸结合的数字拼贴",
"aesthetic": [
"咖啡馆探店手账",
"旅行美食收藏页",
"生活方式社交平台拼图",
"轻松随性的视觉日记"
],
"mood": [
"温暖",
"日常",
"悠闲",
"丰富"
],
"presentation": "直接输出九宫格平面成品"
},
"negative": [
"额外大标题",
"水印",
"账号信息",
"平台标志",
"界面按钮",
"格子之间的白色间隔",
"厚重相框",
"复杂背景图案",
"卡通食物",
"全场景插画",
"三维渲染",
"夸张投影",
"荧光色调",
"过度精修的商业广告质感"
]
}
MOSS-Image Base vs SFT
both Seed 42, 50 steps
had so much fun with this theme 🤣
this one prefer the base version
prompts below
{
"subject": {
"main_character": {
"identity": "成年东亚女性",
"position": "画面中央偏右,坐在巨大的粉紫色莲花平台上",
"pose": "双腿折向身体右侧,双手撑在身前的花瓣上,上身微微前倾",
"gaze": "低头看向左下方",
"expression": "安静、若有所思",
"hair": "深黑色头发,中分,整齐盘起,脸侧垂落细发丝",
"details": "上臂有一枚小型深色纹身"
}
},
"clothing": {
"outfit": "挂脖式改良旗袍连衣裙",
"neckline": "浅绿色高领,深绿色细滚边与挂脖带",
"fabric": "带光泽的丝缎,胸前浅奶油绿,下半身为蓝绿渐变",
"pattern": "水面、荷叶与粉色莲花组成的浓艳风景印花",
"accessories": [
"双腕佩戴宽版金色手镯",
"白色细带高跟凉鞋"
]
},
"creatures": {
"left_fish": {
"appearance": "一条悬浮于空中的蓝绿色观赏鱼",
"position": "人物左侧,靠近肩膀与手臂",
"direction": "鱼头朝右,朝向人物",
"details": "金属蓝鳞片,青绿色反光,宽大半透明飘逸鱼尾"
},
"right_fish": {
"appearance": "一条体积夸张的白色锦鲤,身上带鲜艳洋红色斑块",
"position": "人物右后方,鱼头靠近右侧手臂,尾部延伸至上方",
"details": "珍珠白鳞片,圆润鱼眼,薄纱般展开的半透明鱼鳍",
"scale": "鱼头接近人物上半身大小"
},
"rabbits": {
"count": 2,
"appearance": "两只白色玩具兔,背部朝向镜头,穿亮粉色小马甲",
"position": "人物前方左右两侧",
"details": "马甲带荧光绿色中文装饰,小兔面前散落红色纸牌与红包"
}
},
"props": {
"platform": {
"type": "巨大的莲花形漂浮平台",
"center": "光滑粉色圆形台面,边缘有细银色亮边",
"petals": "多层肥厚圆润的粉紫色花瓣,交错向外展开",
"material": "带珠光的塑料与充气玩具质感"
},
"foreground_objects": [
"几枚亮金色元宝",
"散落的白色扑克牌",
"带金色图案的红色红包",
"一组蓝紫色圆球组成的玩具摆件",
"右侧一枚紫红色中国结,带长流苏与小型金色中文装饰"
]
},
"environment": {
"setting": "超现实的数字莲花池",
"water": "深蓝与紫色水面,布满珊瑚橙和粉红色波纹",
"lotus_leaves": "巨大的黄绿色圆形荷叶漂浮于背景,边缘鲜绿,中心明黄",
"flowers": "密集的小型洋红色莲花与黄色浮叶,穿插细长花茎",
"spatial_logic": "人物、鱼和玩具共同存在于人工合成的幻想场景中"
},
"typography": {
"main_text": "微笑送给你",
"placement": "沿画面左侧纵向排列,从顶部延伸至底部",
"font": "夸张、厚重、略带书法感的中文美术字",
"fill": "明亮金黄色",
"outline": "橙红色粗描边与外发光",
"effects": [
"立体浮雕",
"金色高光",
"局部星芒闪光"
],
"layout": "文字大小不完全一致,轻微旋转,部分压住背景和莲花平台"
},
"composition": {
"shot_type": "环境时尚人像与数字拼贴",
"camera_angle": "略高机位俯拍",
"framing": "人物全身坐姿可见,莲花平台占据画面下方大部分空间",
"subject_position": "人物偏右,左侧留给大型纵向中文",
"depth_layers": [
"前景的花瓣、元宝与玩具兔",
"中景人物和悬浮鱼",
"背景荷叶与彩色水面"
],
"visual_density": "元素密集,画面饱满,保留明显的人工拼贴感"
},
"lighting": {
"character_light": "人物受到较直接的闪光照明,皮肤明亮,保留摄影质感",
"environment_light": "均匀明亮的虚拟场景光",
"highlights": "鱼鳞、元宝、花瓣边缘与水面具有夸张高光",
"effects": [
"大量白色十字星芒",
"多射线闪钻光斑",
"透明肥皂泡",
"柔和外发光"
],
"effects_distribution": "散布于水面、文字边缘、鱼身与画面四周"
},
"color": {
"dominant_colors": [
"泡泡糖粉",
"薰衣草紫",
"荧光黄绿",
"洋红",
"宝蓝"
],
"accent_colors": [
"金黄",
"橙红",
"青绿",
"珍珠白"
],
"saturation": "极高饱和度",
"grading": "刻意不自然的糖果色与荧光色,带轻微褪色的旧印刷质感"
},
"style": {
"medium": "真实人物摄影与早期三维图形、数字剪贴画混合",
"references": [
"千禧年代中文网络祝福贺卡",
"早期 Photoshop 拼贴",
"QQ 空间闪图",
"复古数码影楼",
"中国风 kitsch",
"超现实 Y2K 时尚视觉"
],
"mood": [
"喜庆",
"梦幻",
"俏皮",
"怪诞",
"怀旧"
]
},
"texture": {
"photography": "人物保留真实摄影细节,边缘略带抠图痕迹",
"digital_objects": "光滑塑料、珠光表面、夸张反射与早期 CGI 质感",
"image_finish": "轻微低分辨率、柔化、细颗粒与旧数码压缩感",
"compositing": "各元素光线与透视略有差异,保留手工合成的趣味"
},
"negative": [
"现代极简设计",
"低饱和配色",
"自然写实池塘",
"电影式暗调",
"统一写实的物理渲染",
"干净商业电商风",
"额外人物",
"额外标题",
"水印",
"界面按钮"
]
}
{
"subject": {
"main_character": {
"identity": "成年东亚女性",
"position": "画面中央,斜坐在黑色亮面座椅中",
"pose": "双臂向镜头前方伸展,一条前臂斜穿画面至右下角,局部超出画面",
"expression": "冷静、自信,嘴唇微张",
"gaze": "微微低头,透过橙黄色镜片看向镜头",
"hair": {
"color": "栗棕色,带金铜色挑染",
"style": "厚实齐刘海,高位双马尾向两侧蓬起,发尾卷曲"
},
"makeup": {
"skin": "真实皮肤质地,暖调底妆",
"eyes": "深色眼线",
"lips": "带光泽的莓红色唇妆"
}
},
"secondary_character": {
"identity": "成年东亚女性",
"position": "主角右后方,只露出头部、肩部和部分上身",
"pose": "侧脸朝向画面右侧",
"hair": "亮蓝色长直发,整齐刘海",
"makeup": "深色眼线,脸颊贴一小簇粉紫色水钻",
"accessories": "银色闪亮项圈",
"focus": "略微失焦,视觉权重低于主角"
}
},
"clothing": {
"main_outfit": {
"type": "黑色修身短款背心",
"details": [
"细肩带",
"亮粉色蝴蝶结",
"粉色圆点",
"细小金属扣件"
],
"silhouette": "露出肩膀与腰部"
}
},
"accessories": {
"headwear": {
"item": "超大银色全息蝴蝶结",
"material": "带细密点状纹理的反光薄膜",
"reflection": "折射粉色、浅绿与蓝紫色彩虹光"
},
"eyewear": {
"item": "窄框贴面弧形运动太阳镜",
"lens_color": "透明橙黄色",
"frame": "细金属框与金属镜桥",
"detail": "镜片上有强烈白色闪光反射"
},
"headphones": {
"item": "银黑色复古有线耳机",
"cable": "细黑线缆从脸侧垂落,穿过胸前延伸至腰部"
},
"arm_accessories": {
"items": [
"多圈透明软塑料管",
"浅柠檬黄色果冻手环",
"薄荷绿色透明手环",
"亮粉色细绳"
],
"placement": "缠绕前臂与手腕",
"material": "柔性透明塑料,具有真实折射与高光"
},
"body_tubing": {
"placement": "从画面左侧绕过肩部与颈前,再延伸至手臂",
"shape": "宽大的透明弧线"
}
},
"props": {
"foreground": [
"黑色与银色复古电子随身设备",
"黑色皮质收纳包",
"金属搭扣",
"红黑相间的螺旋电话线",
"亮粉色挂绳与挂扣",
"交错垂落的透明电线"
],
"arrangement": "集中堆叠于画面下方,部分被边缘裁切,形成手工改造的可穿戴电子造型"
},
"environment": {
"setting": "昏暗、狭窄的未来感派对或电子装置空间",
"base_materials": [
"黑色亮面座椅",
"反光黑色面板",
"透明塑料薄膜"
],
"decorations": [
"斜向穿过画面的亮粉色塑料条带",
"镜头附近的透明反光板"
],
"atmosphere": "拥挤、闪亮、充满复古电子配件的科技幻想"
},
"composition": {
"shot_type": "近距离时尚人像",
"camera_angle": "略高机位俯拍",
"camera_tilt": "轻微倾斜",
"framing": "紧凑裁切,人物头部、肩膀、手臂与配件占满画面",
"perspective": "广角近摄,前臂近大远小,增强纵深",
"visual_hierarchy": [
"中央主角的脸与橙黄色太阳镜",
"银色全息蝴蝶结",
"伸向前景的手臂与透明配件",
"右后方蓝发人物",
"下方电子设备与线缆"
],
"foreground_occlusion": "左侧与边缘有透明薄膜和反光材料遮挡,主角面部保持可辨"
},
"lighting": {
"main_light": "强烈机顶直闪",
"highlights": "皮肤、镜片与透明塑料出现接近过曝的奶油白高光",
"background_exposure": "背景较暗,人物与配件被闪光灯直接照亮",
"light_quality": "直接、硬朗,保留突兀的反光与明暗落差",
"optical_effects": [
"不规则彩虹折射",
"棱镜光斑",
"镜头眩光",
"局部柔光晕染"
],
"effects_placement": "主要集中在画面左侧和边缘"
},
"color": {
"overall_cast": "略偏暖黄",
"dominant_colors": [
"黑色",
"荧光粉",
"橙黄色"
],
"accent_colors": [
"电光蓝",
"薄荷绿",
"柠檬黄",
"全息银"
],
"saturation": "高饱和",
"contrast": "明亮的闪光高光与深暗背景形成强烈对比"
},
"style": {
"medium": "真实时尚摄影,经杂志印刷后再次扫描",
"references": [
"千禧年代东京街头文化",
"Y2K",
"原宿 cyber gyaru",
"日系电玩时装",
"实验性电子配件造型",
"早期日本独立潮流杂志"
],
"mood": [
"随性",
"叛逆",
"自信",
"鲜活",
"略带混乱"
]
},
"texture": {
"image_surface": [
"明显胶片颗粒",
"细密印刷网点",
"扫描纹理",
"轻微色差",
"局部运动模糊"
],
"material_rendering": [
"真实皮肤纹理",
"透明塑料折射",
"全息薄膜反光",
"亮面皮革高光",
"金属配件反射"
],
"finish": "略显粗糙的复古杂志质感,保留闪光过曝与光学瑕疵"
},
"negative": [
"文字",
"杂志标题",
"水印",
"界面元素",
"现代极简背景",
"干净电商棚拍",
"柔和自然光",
"过度磨皮",
"光滑三维渲染",
"动漫插画",
"机械义肢",
"科幻盔甲",
"赛博朋克城市街景"
]
}
Ting Chen Liang retweeted
9 pics. Locally generated. ~15sec/pic.
I am experimenting with MOSS-Image from @MosiAI_Official @Open_MOSS 5B params open weights (super!) image model.
But what hits me is not just how good these pictures are. It's how they follow the prompt!
Mag cover with mag masthead behind model head.
Riso festival poster in italian.
Coffee label with tasting notes.
Watch ad with tiny caps spec line.
All words in the correct place and nearly all correctly spelled (95% of them).
In the font style I want.
And consider this the "draft" quality. I'm using 8 step LoRA to make it quick. Official recipe requires 50 steps for perfect quality.
Prompting using the official prompt enhancer skill. Making idea to pixel-perfect layout. (Boxes for every object and line of text).
Link here, add it to your agent and enjoy: github.com/OpenMOSS/MOSS-Ima…
All brands / events / people fictional clearly, just to give an idea of the power of this model!
Open weights.
On your computer.
No API.
No queue.
No pay per image.
Some prompts in comments (be ready... 😂), share yours! 👇
Ting Chen Liang retweeted
Liking MOSS-image so far. Very versatile, can be as simple or as hyperdetailed (aka "the GPT 2 look") as you want
I realized quickly it's not a "enter short prompt, get pretty picture" model like Krea 2 or Anima. There are exceptions, but the more detailed the prompt, the better
Highly recommend getting a clanker to write detailed prompts for you. For now I'm using GPT web for it
Generated these with the Lodestones turbo LoRA. 1 MP gen takes 16-18s on an AMD Strix Halo. ~35s for 2 MP
🤗 MOSS-Image is now open source on @huggingface .
Built on a 5B Diffusion Transformer (DiT), MOSS-Image brings Chinese & English text rendering and controllable layouts to image generation — from posters and infographics to creative visuals.@Open_MOSS
What it offers:
📝 Long prompts & text rendering — up to 4K-token prompts, including multi-line text
📐 Experimental JSON layout control — specify text, objects, and their positions using bounding boxes
🖼️ Flexible generation — multiple aspect ratios, resolutions, and customizable inference settings 🛠️ Developer workflows — Python (Diffusers), Gradio, ComfyUI, and a Prompt Enhancer Skill
📦 Base & SFT checkpoints are both available, with open model weights and Apache-2.0 licensed inference code.
🙌 Huge thanks to @sgl_project @vllm_project @ModelScope2022 for the Day-0 support!
moss image core dev is here
ask him everything































