Tensor.Art

Double-Click Boost! 🚀 The Secret to Skip the Queue!​​While using ​Tensor AI Tools​ for image generation, I often found myself stuck in a never-ending queue after hitting the "Go" button... 😩But then—EUREKA!​​ 💡 I discovered a ​secret trick:👉 ​Double-click "Go"​​ to create a new task, and—voilà!—your first task magically starts running! 🎩✨It’s like hitting ​NITRO​ in a racing game 🏁💨—DOUBLE-CLICK TO ACCELERATE!!!​​ 🚀🔥(Works most of the time… but no refunds if it doesn’t! 😆)

掲載している画像についてTensorArt上で生成した画像を透過処理し、128x256 or 240x320にリサイズしたものを掲載していますこの画像はSteamゲーム「Elin」の「スキン差し替え機能」で使用する目的のため加工したものです記事内の画像は全てwebpに変換されてしまうようなので、ゲームで使用するさいはwebp→pngの変換が必要です（pngファイルしかゲーム内で認識されません）使用モデル／LORAには商用利用不可のものも含まれています（画像個別の投稿を参照してください）投稿者の制作時期によりクオリティや画風にムラがあります（特に初期は２頭身のものが多い）予告なく記事内の画像を変更する場合がありますPortraitとSkin、片方しか用意できていないキャラクターがいます（たぶんそのうち増えます）NPCLittle Girl（少女）Young Lady（嬢）Catsister（妹猫）Rodwyn the witch（魔女のロドウィン）Mother（マザー）モンスター（擬人化含む）Metal Putit（メタルプチ）Ghost（亡霊）Carbuncle（カーバンクル）Silver Bell（シルバーベル）Gold Bell（ゴールドベル）Shiva（シヴァ）Handmaiden of Lolth（ルロスの侍女）Fallen Angel《Isca》 （ 堕天使《イスカ》 ）《Big Sister》 （ 《ビッグシスター》 ）ユニーク冒険者God Cursed「Gaki」（神に呪われし「牙姫」）Emissary of Ivory Tower（象牙塔の使者）Fated Understander「Mesherada」（ 運命の理解者「メシェラーダ」 ）Eternal Traveler「Wini」（ 永遠の旅人「ウィニ」 ）Shadow Witch「Verna」（ 翳りの魔女「ヴェルナ」 ）Mechanical Doll「Kiria」（ 機械人形「キリア」 ）Younger Snow Leopard Sister（妹雪豹）ユニークNPC『Older Younger Sister』（『年上の妹』）The Cursed Girl『Melilith』（呪われた少女『メリリス』 ）White Law 『Leia』（ 純白の法『レイア』 ）Apostle（使徒）Cute Fairy（妖精さん）Golden Knight（黄金の騎士）Exile（追放者）Android（アンドロイド）Black Cat（黒猫）Defender（防衛者）Black Angel（黒天使）White Vixen（白狐）Fox Maid（メイド狐）Militant（ミリタント）

在开始绘图前，请先明确你的构图场景、风格方向，以及希望传达的细节关键词。本期是一章辅助提示词分享，排版由AI帮我完成，我比较懒的排版常用提示词参考（双重曝光风格）以下是我经常使用的 Prompt 示例，适用于“双重曝光”风格。不同模型表现略有差异，仅供参考，如有问题欢迎指正：silhouette, within, blending, blended, merged, filled with / into, Jeddbleil, double exposure手部动作（Hand Gestures）互动与招呼类waving：挥手（角色打招呼、道别）【社交、迎接、离别】saluting：行军礼（正式致意）【军事、正式场合】high-five：击掌（庆祝、友好）【伙伴间庆祝、友谊】clapping：鼓掌（赞美、认可）【庆祝、演出】pointing：指向（强调方向或目标）【讲解、示意、互动】表达与情感类thumbs-up：竖起大拇指（赞同、鼓励）【积极反馈、喜好】thumbs-down：竖起大拇指向下（否定、不满意）【否定、表达失望】fist-clenching：握拳（愤怒、紧张、决心）【战斗前、内心斗争】open-palm：张开手掌（欢迎、防御、祈祷）【招呼、接纳、请求】finger-snapping：打响指（节奏感、魔法瞬间）【表演、变化】思考与姿态类hand-on-chin：手托下巴（沉思、困惑）【思考、犹豫】hand-on-hip：手叉腰（自信、不满）【质问、姿态感】hand-on-face：手捂脸（震惊、羞涩、失落）【反应瞬间、内向情绪】hand-on-heart：手放胸口（真诚、感动、发誓）【感情表达、承诺】表现与动态类grabbing：握住（紧张、抓住机会）【紧张时、紧急动作】fingertips-touching：手指尖接触（细心、低调、计划）【思考、低调交流】pinching：捏住（小心、关心、纠结）【检查、轻轻触碰】flipping：翻动（无聊、愤怒）【翻书、翻桌】palms-together：双掌合十（祈愿、感激、求助）【请求、祈祷】picking-up：捡起（专注、小心）【细致操作、动作】难度 / 节奏类spreading-fingers：张开手指（强烈、压力）【紧张、惊讶】gripping：紧握（控制、专注）【抓住、攻击】tapping-fingers：轻敲手指（焦虑、不耐）【等待、急切】其他细节表现类shaking-hand：握手（交流、协议）【社交、合作】twisting-wrist：转动手腕（疲劳、无聊）【细节动作】flexing-fingers：弯曲手指（放松、恢复、体操）【手部活动】resting-hand：手轻放（放松、休息）【情感松弛】clapping-back：背后鼓掌（偷偷支持）【暗中支持】腿部动作（Leg Gestures）姿势类standing-with-legs-apart：双腿分开站立（稳重、自信）【战斗准备、威严展示】standing-with-legs-crossed：双腿交叉站立（休闲、放松）【等待、聊天场景】sitting-cross-legged：盘腿坐（随意、放松、冥想）【居家、教室、自然场景】sitting-with-legs-stretched：双腿伸直坐（疲惫、放松）【旅行、休息】sitting-with-legs-bent：双腿弯曲坐（含蓄、少女感）【害羞、情绪细腻场景】walking-with-long-strides：大步走（自信、紧迫）【赶路、任务场景】walking-with-short-steps：小步走（谨慎、优雅）【紧张、礼仪场景】kneeling：跪姿（恳求、忠诚、礼拜）【宗教、情感高潮】squatting：蹲下（观察、调皮、准备动作）【低视角互动、行动开始】脚部动作类tip-toeing：脚尖站立（轻盈、偷偷、谨慎）【悄悄行动、偷袭】pointing-toe：指向脚尖（展现优雅、舞蹈动作）【舞蹈、优雅动作】flexing-ankles：弯曲脚踝（疲劳、恢复、舒展）【休息、放松】bouncing-on-toes：踮脚跳跃（活力、期待）【紧张、急切等】foot-tapping：脚尖敲击地面（焦虑、不耐）【等待、急切】crossing-ankles：交叉脚踝（优雅、放松）【放松、优雅的坐姿】rocking-back-and-forth：前后摇摆（焦虑、不安）【焦虑、等待】raising-heel：提起脚跟（不安、注意力集中）【紧张、预备动作】kicking：踢（愤怒、冲动）【防御、发泄愤怒】stepping-forward：向前迈步（进取、自信）【进攻、走向目标】stepping-backward：向后退步（后退、避免）【防守、撤退】twisting-feet：脚部旋转（困惑、不安）【不耐烦、焦虑】脚趾动作类wiggling-toes：脚趾扭动（放松、舒适）【休息、放松】curling-toes：脚趾蜷曲（紧张、不安）【紧张状态】pointing-toe：脚趾指向（优雅、舞蹈）【舞蹈、表现】scrunching-toes：脚趾收缩（不适、困扰）【疲惫、不适】tapping-toes：脚趾轻敲（不耐烦、急切）【等待、焦虑】spreading-toes：脚趾张开（放松、舒展）【恢复、轻松】pressing-toes：脚趾用力（紧张、力量）【控制、发力】手指动作（Finger Gestures）指令与强调类pointing-with-index-finger：用食指指向（下指令、强调）【命令、讲课、展示物品】making-a-fist：握拳（愤怒、斗志）【决斗、激动、煽动情绪】making-a-peace-sign：竖两指（胜利、和平、自拍）【合影、流行文化】making-a-come-here-gesture：招手让人过来（暗示、引导）【角色互动、引导】making-a-stop-gesture：手掌前伸（制止、警告）【争执、警觉】making-a-call-me-gesture：拇指和小指张开（联系、社交）【俏皮、暗示沟通】making-a-thumbs-up-gesture：举拇指（称赞、肯定）【胜利、认可】making-a-thumbs-down-gesture：拇指向下（反对、否定）【拒绝、嘲讽】手指与手掌互动类（Finger and Palm Interaction）pointing-with-multiple-fingers：多指指向（指示、强调方向）【指引、指向】touching-fingers：手指互相触碰（思考、犹豫、细致）【思考、谨慎】holding-a-finger-to-lips：食指放在嘴唇上（示意安静、谨慎）【安静、隐秘】index-finger-and-thumb-pinch：食指和拇指捏住（轻触、审视）【检查、敏感操作】手腕动作类（Wrist Gestures）wrist-twist：转动手腕（放松、无聊）【疲劳、细节动作】flexing-wrist：弯曲手腕（用力、强迫）【力量、控制】shaking-wrist：摇晃手腕（不耐烦、失望）【焦虑、反应】flicking-wrist：振动手腕（生气、激动）【快速反应、警告】手臂动作类（Arm Gestures）raising-arm：举臂（求救、问询）【寻求帮助、庆祝】lowering-arm：放下手臂（放松、平静）【失望、退却】crossing-arms：双臂交叉（防御、不信任）【拒绝、冷漠】stretching-arm：伸展手臂（放松、舒展）【恢复、疲劳后的动作】elbow-pointing：弯曲肘部指向（暗示、挑衅）【无声交流、态度表现】pushing-with-arm：用手臂推（推动、抵抗）【防守、推动】pulling-with-arm：用手臂拉（拉住、吸引）【控制、反向动作】其他手部细节动作（Other Hand Details）finger-waving：手指晃动（不满、警告）【反对、威胁】clenching-fingers：紧握手指（专注、愤怒）【紧张、决心】stretching-fingers：伸展手指（放松、恢复）【恢复、放松】thumb-over-finger：大拇指压住食指（决策、犹豫）【考虑、思考】头部动作（Head Gestures）同意与否定类nodding：点头（同意、认可）【正常对话、肯定答复】shaking-head：摇头（否定、不信）【拒绝、怀疑】思考与疑惑类tilting-head：侧头（疑惑、卖萌）【思考、好奇、撒娇】looking-up：向上看（幻想、灵感、请求）【祈祷、星空、想象力】looking-down：低头（思考、内敛、羞涩）【伤感、失落、沉思】情感与表达类bowing-head：低头（羞愧、礼貌、悲伤）【认错、反省、正式场合】raising-eyebrows：挑眉（惊讶、调情）【表情丰富、反应场景】furrowing-brows：皱眉（担心、生气）【冲突、压力场景】winking：眨眼（打趣、默契）【俏皮、暗号】blinking：眨眼（自然动作、困倦）【情绪缓冲、转场】面部与头部动作组合（Head + Facial Combos）head-tilt-with-smile：侧头微笑（撒娇、魅力、亲和力）【亲近、温柔】head-tilt-with-frown：侧头皱眉（疑惑、不解）【好奇、质疑】face-palming：捂脸（震惊、羞愧、失望）【意外、尴尬】looking-away：偏头看向远方（思考、逃避）【沉思、逃避目光】raising-chin：抬起下巴（自信、挑战）【坚定、不屈】颈部动作（Neck Gestures）neck-tilting：颈部倾斜（思考、质疑）【疑问、好奇】neck-craning：颈部伸展（好奇、注视远方）【寻找、观察】neck-rotation：旋转脖子（放松、缓解压力）【舒展、放松】neck-stretch：伸展脖部（疲劳、放松）【解除紧张、活动】面部组合动作（Facial Combos）smiling-with-raised-eyebrows：微笑配挑眉（高兴、调皮）【友好、轻松】frowning-with-raised-eyebrows：皱眉配挑眉（怀疑、惊讶）【困惑、质疑】smiling-with-winking：微笑配眨眼（调皮、暗示）【俏皮、暗号】frowning-with-winking：皱眉配眨眼（困惑、调皮）【打趣、示意】眼睛与头部动作组合（Eye + Head Gestures）eyes-widening：眼睛睁大（惊讶、震惊）【意外、吃惊】narrowing-eyes：眼睛眯起（怀疑、警觉）【质疑、警惕】rolling-eyes：眼睛翻白（不耐烦、嫌弃）【厌烦、失望】eye-contact：目光接触（专注、信任）【交流、示意】looking-over：眼睛扫视（挑衅、评估）【观察、对比】looking-around：眼睛环视（好奇、警觉）【寻找、四处观察】面部细节与组合动作（Facial Detail & Combinations）smiling-with-closed-eyes：微笑配闭眼（幸福、喜悦）【愉悦、感动】squinting：眯眼（困惑、仔细看）【难以看清、集中注意】grinning-with-closed-eyes：咧嘴微笑配闭眼（极度高兴、得意）【喜悦、开心】smiling-with-one-eye-closed：微笑配一只眼闭（狡猾、戏谑）【暗示、轻松】以上是我个人长时间整理累积，等待下一章的更新...

Hello, my friends?Many of you already know how to create LoRAs. And there are many articles about creating a LoRA on this site. However, I just wanted to add another tutorial for whoever wants to check it from my creation process. Let's begin! (I'll use many images I captured during the creation process.)Step 1. upload imagesWell, before uploading images, you need to prepare for the images first of course. For Flux LoRA of a character, it'll be somewhere from 15 ~ 40 probably. For this tutorial, I prepared for only 12 images. The image quality of the images is not really ideal either. We'd better have a very high quality images of various angles. You'd better not use images of poor quality. It only makes your result worse. For Flux, well, you can use OK images because Flux is very smart to learn and create a good LoRA under harsh circumstances.If you go to the online training menu on the top of Tensor Art site and click it, you'll see a screen like the following. You click the upload images button in the left empty area, a pop up window will show up. Then you can go to the folder of your stored images and select them. Then, they will show up on the training window like the following image. If you click on any of the images there, another window will pop up to show the image and the caption (tag) created for it. (When the image is uploaded, the tool will generate the caption of the images automatically. You can create your own caption file and upload it with each image if you want. Let's skip it for now.)Step 2. Parameter SettingsNext, check the parameters for the training correctly as follows. Make sure you are in pro mode. If you click the button on the right top, it will change to "Basic Mode" button as follows. Click the SD3/Flux Standard check box. Then use base model of Flux.1 which is a default. For Network Module, change it to LoKr instead of LoRA. They are similar things. Personally, I prefer LoKr. Please ask ChatGPT for details about them, and teach me too~ LOL. (You must select LyCORIS in model project settings for now. Don't choose LoKr until TA fixes the issue. LyCORIS is a superset including efficient models like LoKr, LoHA, LoCon etc.)For the primary trigger words, use proper words with under scores like ek_sku11_kn1ght used in my case. I used 1's to replace certain alphabet letters like 'l' and 'i'. Why? I was told to use words not to be confused with any other "normal" prompt words. For other additional trigger words, you can use normal phrases you want to use for the LoRA. These trigger words are usually used during your train process as caption to teach the LoRA about the images.Fo example, if you want to teach the "metallic surface", then it must be in the caption of the right images. Then the LoRA will learn the image's metallic surface. When you generate an image using your LoRA later, if you use the trigger words "metallic surface", the related image result will show up better probably. At the bottom, the amount of credits used for LoRA creation is shown. It's 210.61 credits. However, it's for the default settings of repeat: 20 and epoch:10. We will use less numbers for the training this time and the credits will reduce a lot.Let's continue to the next steps. For the "Skull Knight" LoRA I'm trying to make now, I personally don't really need a complete match to the original source images this time. So I reduce the repeat down to 15 and epoch down to 3. If the result is bad, we can continue the training process from the epoch 3 later. (However, this continuation of training is only available for Pro users unfortunately.) Save every N Epochs is set to 1 which means you want to save the generated lora called safetensors at every epoch. You don't know where in the training process you will get the best result until you see the sample results. So you need to save the result at every epoch.The desirable resolution for Flux Lora training is 1024x1024. However, you can still get the result of certain quality by choosing 512x512. For serious Lora creation like a beautiful woman's face, I use 1024x1024 of course. For this kind of OK Lora, I can try 512x512. The credits are saved a lot by choosing smaller image size here. Check out the credits at the bottom now. It's only 47.39!! BTW, your source images are supposed to be prepared matching this resolution at first. (To be honest, you can use various resolutions for the source images and the training still works. However, for the best training result, you are supposed to use the correct source image size for training. Don't blame me later. 🤗)Step 3. Parameter Setting (2)The parameter setting is too long and I break it into several steps. Check the numbers in the following image and just use them if you are not sure what to do here. For LR scheduler I prefer cosine_with_restarts. However other scheduler like "constant" or "linear" will work fine too. For details, ask chatGPT and teach me later too~ lol. For optimizer, AdamW8bit is used. There are other choices here too. Ask ChatGPT~.Shuffle caption is set to enabled. Keep N tokens is 1 because we will put the primary trigger word at the beginning of the captions later. Then the Lora doesn't check the trigger word as part of caption. For noise offset and other numbers use the default. Some articles say that the noise offset should be 0.0357. According to my experience, the default 0.03 is still OK. I couldn't tell the difference in the final results in many cases. For conv_dim, use 4. For conv_alpha, use 1. These numbers are very important. For style LoRAs, we use different settings like 8 and 2 here.Step 4. Parameter Setting (3)For sample image generation during the training, use proper prompt. However, don't use complicated prompt words as you do in the real generation later. Make it simple to check the effect of the Lora more clearly. Check the prompt I used here for example. Include the trigger words in the prompt. Set the image size of the sample images as you wish. I checked 768 x 1024 here. For sampler, use Euler or Euler_ancestral. For pro users, click the Priority Queue button for faster training process.Step 5. Add trigger words in captionYou need to put the primary trigger word in the beginning of your captions. Use the labeling menu and put the trigger word at the beginning as follows.Now you can see that the primary trigger word is placed at the beginning of the captions in every image. You cannot do this manually one by one. (Well, you can do it if you have the caption as a separate file from the beginning.)For additional trigger words, you can put them in the end as follows. I have another trigger words "Skull Knight" which is not really necessary but I used it for the tutorial.Now, the new trigger words are in the end of your caption of every image.Now select the Priority Queue button. Then press "Start Training Now" button.Step 6. Training starts...Now a new window pops up as follows. The name of the training session is shown as a time stamp. You can change the name of the session as follows. Select "rename" on the right top menu.Change it to the name you want. I put "skull knight 1.0". BTW, this name becomes the version name of your lora after you publish it later. I usually change them to the real version number like 0.5 or 1.0 or 2.0 later. We can edit it later. Don't worry.Step 7. Training ProgressYou can select the parameter setting menu and check if everything is OK here. If you find out any mistakes, you can stop the training before it starts and save your credits. (BTW, I asked TA to make this cancel feature long ago. They accepted my suggestion. Yeah, you owe me a big one~ LOL.)As the training progresses, you'll see that the "Loss" is getting lower (sometimes it goes up and down). You see the result of every epoch from the 4 sample images. Click and see the images if they are what you want. You can compare the sample images of different epochs. You can choose the epoch with best sample results of your favorite for publication.The "publish" button at the bottom of each epoch can be used to publish the corresponding epoch's safetensors. The continue button at each epoch can be used when you want to continue another session of training starting from the epoch. This is really convenient thanks to TA. Great Job, TA~You can see that the image of the same location of the samples improved as the epochs change.Step 8. Publish your LoRA.OK. The training is over and you are happy with your sample results. Then publish it as your LoRA project! Easy huh? The following window pops up. Click the "+ Create a project" menu. You could have created a project separately from TA's home page before.Add project name and select the channel and tags properly.Add description for the LoRA you just created. In 2, you can see your session name as Model Version. If you want, you can change it to a different number or name you want. You can edit this later too.Set the default LoRA strength you want. I set 0.8 here.You can add more showcase images here. You will come back here to make changes later after you generate images using your Lora.Choose Download enabled or prohibited here. I chose "prohibited". Then press "Publish" button.Then, project edit page will pop up. Type in the project name you want. Select the tags you want.Add description for your LoRA project. Select Original or Original - Exclusive depending on your preferences. Early Access is not used any more. Select the remaining choices and press "Update" and you are all set~ Good luck!Step 9. Using the created LoRAThe final results are not very bad~. From the small set of images and 512x512, we still got a decent LoRA!Step 10. Continued TrainingTo improve LoRA, I continued the training up to epoch 7. I added more captions/trigger words related to spikes as follows. The result improved to be close to the original source images. Thanks for reading! 🤗😉 (For Style Lora making, please see my 2nd article~)

Tensor has launched the new Kontext model from Black Forest Studio, which features excellent detail migration and a variety of operations with simple prompts. Here are some simple and practical ways to use it:First, the user needs to upload an image and select the appropriate size. It is usually recommended to keep the original size to ensure image quality.Additional explanation: The official kontext has a daily usage limit. After it is used up, you can use the TOOLS I made as a supplement1. Switch stylesJust type "restyle to" and add a style description, such as Pixar, clay, or GhibliClick Generate to directly transfer the style2. Restoring old photosEnter "Restore and colorize this image. Remove any scratches or imperfections."3. Remove image elementsSimply type an instruction that starts with "remove" and specify what you want to remove.For example: remove the watermark from the pictureremove astronaut from the pic 4. Change the image elementsEnter "change" at the beginning, and then connect "image content to the content to be changed"For example, change the dessert to a burgerchange "I LOVE YOU" to "I WANT HIM"change the woman to side viewchange the time to daytime5. Character consistencyDescribe the character features briefly, and then enter the content of the character to be changed (actions, Settings) for instance ：generate the girl's front view, side view, rear view.the 3D girl dancing on the stage with colorful light6. Extract itemsEnter "Extract" to start, and then enter the content to be extracted, followed by "over a grey background", for example:Extract only the T-shirt over a grey background, product photography style7. Expand the imageEnter "extend to" and enter the requirements for the extensionFor example: extend to full body shot8. Art style referenceEnter "using this style" and enter what you want to drawFor example, using this style to draw a liquid glass style icon of the camera app9. Modify the environmentEnter "It's now" and add a description of the environment stateFor example: It's snowing now, everything is covered with snowIn summary, I have summarized 9 practical functions, I hope it will be helpful to you. Of course, if you have a better way to use it, we are also very welcome to share with us.In addition, I have developed several TOOLS designed to address the cumbersome input prompt and daily usage limits, which can be easily addressed with these TOOLS：Style transfer | Cute you | Remove and replace | POSE CHANGE | change background 

This is a guide for beginners it's very very basic, I'll showcase emotions and how the AI portrays them (or doesn't)The style I'll be using to test is Anime. The seed of the neutral expression would be used as a base and only the " neutral expression" of the prompt would be changed.Prompt: masterpiece, best quality, aesthetic, , 4k, hd, amazing quality, very aesthetic, volumetric lighting, perfect lighting, detailed eyes, perfect anatomy, perfect proportions, high definition, masterpiece, best quality, very awa, newest, highres, absurdres, year 2024, extremely detailed, highres,detailed beautiful face, high resolution, good colors, bright skin, Dynamic lighting, countershading, depth of field, ambient occlusion, raytracing, bara, face up close, face, eyes, nose, neck, chest, toned neck, adam apple, looking at viewer, head_tilt, slice-of-life style, focus face, male_only, neutral expression1boy, toned boy. handsome, ikemen, dynamic angle,, multi color hair, blue school_uniform, idol costume, (Glittering background), outdoor, school, blue sky, heart, hair ribbon, head rest, blue glitter hair streaks,shoulder-length_hair, Black hair, cyan eyes, warm-ivory_skin.Expressions: Neutral, Happy, Angry, Sad, Pout, BoredSmug, Naughty, Grimace (don't ask), Excited, Hopeful, JoyfulNervous, Pensive, Relaxed, Shy, Shocked, SleepyWorried, Mischievous, Embarrassed, Seductive, Inawe, AhegaoLastly. Emotionless, Scared, Disgust, At the bottom is an example of how to enhance the emotion, is to describe the expression through tags.I did the Smug expression but added more details of how it should look. Search for Inspo learn from other creators, check their prompts, try to verbalize a picture's expression, it'll help your gens look more lively. Emotions that didn't show up: Jealous, hurt, proud, suspicious, thoughtful, stressed,  tired, troubled, wary, embarrassed. Romantic, frustrated, fearful  confused , curious, troubled, worried, sulking, melancholic, disappointed, disgusted

Hello all! Today I bring you the most requested article for male hairstyles! As always, keep in mind that results may vary depending on the models you use.This is the prompt I've used to generate these images, the only difference is that I added the hairstyles to the prompt:"1boy, upper body, looking at viewer, neutral expression, soft lighting, shallow depth of field, clean background, natural pose, high quality, detailed face"As always, my settings for generating these images:

Hello! Today's article focuses on Fashion Styles, keep in mind that the ouput you get might be different than mine if you use different models. This is the prompt I used for all the images, as you can see, it's a very simple one, I haven't added any appearance and clothes descriptors since the fashion style tags change them and I want you guys to see how they work properly."1girl, cowboy shot, looking at viewer, neutral expression, soft lighting, shallow depth of field, clean background, natural pose, high quality, detailed face, colored clothes, random accessories"The only difference in all these images is the word I add next, which is the title on top of every image:As always, my settings for generating these images:

E-commerce product image generation test (core scenario)Upload a product image with a white background (taking a power bank as an example)Prompts：Place [product] on a [material] surface in [scene], with soft natural lighting and subtle shadows. Example：Place the power bank in the center of a pleated white blanket with scattered petals and soft sunlightEffect evaluation:High degree of product logo/texture restoration (such as power bank port details and fabric LOGO clarity)Light and shadow logic consistency (shadow direction matches virtual light source)Text generation defect: Chinese LOGO generation is not supported (needs to be added in PS later)Image retouching efficiency test (high frequency demand)Task Type：Remove watermarkPrompts：Remove the watermark Task Type：Remove passerbyPrompts：Remove all passerby in the backgroundTask Type：Colorize old photosPrompts：Color this old photoEffect evaluation:The image retouching effect is very powerful, fast and high quality, and only a few prompts are needed to complete the taskCreative design test (entertainment)Style transfer consistency verificationUpload a real image → Enter the prompt word Convert to ghibli styleEffect evaluation:99% character feature retention rateThe stylization retains the iconic big eyes and unique color saturation of GhibliPrompt word multi-task stability testTask: Change background to beach → 2. Swap dress to black suit → 3. Add straw hatEffect evaluation:The task was completed while preserving the consistency of the charactersNote⚠️: When generating full-body images, a resolution of 1024px or above is mandatory to prevent facial blurConclusionThrough the above scenario tests, we can fully verify the value of Kontext in the three major areas of commercial image rendering, image restoration, and creative collaboration. It is recommended to prioritize the pilot in the e-commerce/new media industry, and designers should focus on local editing and style transfer capabilities.

This experiment was based on the Danbooru face tag page.1.Main1.multiple expressions / 2.expression chart2.Emotions1.angry / 2.anger vein / 3.annoyed / 4.clenched teeth / 5.scowl6.annoyed / 7.blush / 8.blush stickers / 8-1.blush stickers, chibi / 9.embarrassed10.full-face blush / 11.nose blush / 12.bored / 13.closed eyes / 14.confused15.crazy / 15-1.crazy, :d / 16.despair / 16-1.despair, messy hair, grabbing own head / 17.determined18.disappointed / 19.disdain / 20.disgust / 21.drunk / 22.envy23.excited / 23-1.excited, grin / 24.exhausted / 25.expressionless / 26.facepalm27.flustered / 28.frustrated / 29.furrowed brow / 30.grimace / 31.guilt32.happy / 32-1.happy, open mouth / 33.kubrick stare / 34.lonely / 34-1.lonely, half closed eyes35.nervous / 36.nosebleed / 37.one eye closed / 38.round mouth / 39.open mouth40.parted lips / 41.pain / 42.pout / 43.raised eyebrow / 44.raised inner eyebrows45.rape face / 46.rolling eyes / 47.sad / 48.depressed / 48-1.depressed, empty eyes49.frown / 50.gloom (expression) / 51.tears / 52.scared / 53.panicking54.worried / 55.serious / 56.sigh / 57.sleepy / 58.sulking59.surprised / 60.thinking / 61.pensive / 62.v-shaped eyebrows / 63.wince3.Sexual1.afterglow / 1-1.afterglow, blush, open mouth, heavy breathing / 2.ahegao / 3.aroused / 3-1.aroused, blush4.fucked silly / 5.in heat / 5-1.in heat, blush / 6.naughty face / 7.seductive smile8.torogao4.Smile (smile with mouth close)1.:d / 2.crazy smile / 3.evil smile / 4.fingersmile / 5.forced smile6.glasgow smile / 7.grin / 8.evil grin / 9.light smile / 10.sad smile11.seductive smile / 12.smile / 13.stifled laugh5.Smug1.doyagao / 2.smirk / 3.smug / 4.troll face6.Surprised / Scared / Sad1.^^^ / 2.color drain / 3.depressed / 4.despair / 5.gloom (expression)6.horrified / 7.screaming / 8.sobbing / 9.traumatized / 10.turn pale11.wavy mouth7.Drawing styles1.constricted pupils / 2.cross-eyed / 3.wide-eyed / 4.dot nose / 5.no nose6.chestnut mouth / 7.dot mouth / 8.mouth drool / 9.no mouth / 10.rectangular mouth11.sideways mouth / 12.split mouth / 13.Yurie mouth / 14.wavy mouthThank you for taking a look!

This experiment was based on the Danbooru posture tag page.1.Basic positions1.Kneeling / 2.On one knee / 3.Lying / 4.Crossed legs / 5.Fetal position6.On back / 7.On side / 8.On stomach / 9.Sitting / 10.Butterfly sitting11.Crossed legs / 12.Figure four sitting / 13.Indian style / 14.Lotus position / 15.Hugging own legs16.Reclining / 17.Seiza / 18.Sitting on person / 19.Sitting on head / 20.Sitting on lap21.Shoulder_carry / 22.Human chair / 23.Straddling / 24.Thigh straddling / 25.Upright straddle26.Wariza / 27.Yokozuwari / 28.Standing / 29.Balancing / 30.Crossed legs31.Legs apart / 32.Standing on one leg2.Movement of the body1.Balancing / 2.Crawling / 3.Idle animation / 4.Midair / 5.Falling6.Floating / 7.Flying / 8.Jumping / 9.Hopping / 10.Pouncing11.Running / 12.Walking / 13.Walk cycle / 14.Wallwalking3.Other postures potentially involving the whole body1.All fours / 2.Top-down bottom-up / 3.Prostration / 4.Bear position / 5.Bowlegged pose6.Chest stand / 7.Chest stand handstand / 8.Triplefold / 9.Ruppelbend / 10.Quadfold / 11.Cowering / 12.Crucifixion / 13.Faceplant / 14.Full scorpion / 15.Fighting stance / 16.Battoujutsu stance * / 17.Spread eagle position / 18.Squatting*prompt of 16.Battoujutsu stancekatana, (battoujutsu_stance:1.4), (casual clothes:1.4), hand on hilt, ready to draw, pastel blue kimono, wide sleeves, japanese clothes , outdoors, east asian architecture, full_body,19.Stretching / 20.Superhero landing / 21.Upside-down / 22.Handstand / 23.Headstand24.Yoga / 25.Scorpion poseno image4.Other rest points of the body1.Arm support / 2.Head rest5.Posture of the head1.Head down / 2.Head tilt / 3.Head back6.Torso inclination1.Arched back / 2.Bent back / 3.Bent over / 4.Leaning back / 5.Leaning forward6.Slouching / 7.Sway back / 8.Twisted torso7.Arms1.Arms behind back / 2.Arm up / 3.Arm behind head / 4.Victory pose / 5.Arms up6.\o/ / 7.Arms behind head / 8.Outstretched arms / 9.Spread arms / 10.Arms at sides11.Airplane arms / 12.Crossed arms / 13.Flexing / 14.Praise the sun / 15.Reaching16.Shrugging / 17.T-pose / 18.A-pose / 19.V arms / 20.W arms21.Stroking own chin / 22.Outstretched hand / 23.V / 24.Interlocked fingers / 25.Own hands clasped26.Own hands together / 27.Star hands8.Hips1.Contrapposto / 2.Sway back9.Legs1.Crossed ankles / 2.Folded / 3.Leg up / 4.Legs up / 5.Knees to chest6.Legs over head / 7.Leg lift / 8.Outstretched leg / 9.Split / 10.Pigeon pose / 11.Standing split12.Spread legs / 13.Watson cross / 14.Captain morgan pose / 15.Knees apart feet together / 16.Knees together feet apart / 17.Knee up18.Knees up / 19.Dorsiflexion / 20.Pigeon-toed / 21.Plantar flexion / 22.Tiptoes23.Tiptoe kiss10.Posture of at least two characters1.Ass-to-ass / 2.Back-to-back / 3.Belly-to-belly / 4.Cheek-to-breast / 5.Cheek-to-cheek6.Eye contact / 7.Face-to-face / 8.Forehead-to-forehead / 9.Head on chest / 10.Heads together11.Holding hands / 12.Leg lock / 13.Locked arms / 14.Over the knee / 15.Nipple-to-nipple / 16.Noses touching17.Shoulder-to-shoulder / 18.Tail lock11.Posture of at least three characters1.Circle formation / 2.Group hug12.Hugging1.Hug / 2.Hugging own legs / 3.Hugging object / 4.Hugging tail / 5.Wing hug6.Arm hug / 7.Hug from behind / 8.Waist hug13.Carrying someone1.Baby carry / 2.Carried breast rest / 3.Carrying over shoulder / 4.Carrying under arm / 5.Child carry6.Fireman's carry / 7.Piggyback / 8.Princess carry / 9.Shoulder carry / 10.Sitting on shoulder / 11.Standing on shoulder14.Poses1.Rabbit pose / 2.Horns pose / 3.Paw pose / 4.Claw pose / 5.Archer pose / 6.Bras d'honneur / 7.Body bridge8.Contrapposto / 9.Dojikko pose / 10.Ghost pose / 11.Inugami-ke no Ichizoku pose / 12.Letter pose / 13.Ojou-sama pose / 14.Saboten pose / 15.Symmetrical hand pose16.Victory pose / 17.Villain pose / 18.Zombie pose / 19.Gendou pose / 20.JoJo pose / 21.Dio Brando's pose / 22.Giorno Giovanna's pose / 23.Jonathan Joestar's pose / 24.Kujo Jotaro's pose / 25.Kongou pose / 26.Kujou Karen poseThank you for taking a look!

Hello! Here's another widely requested article for prompting lighting! I hope it's helpful and as always remember than depending on the models you use, the results may vary!Settings used to generate these images:

Hello all! This article was requested by many of you, it's a bit long, but it covers a lot of prompting words regarding to skins. Remember depending on your models, results may vary!Skin TypesSkin ConditionsVitiligo LoRASkin ColorsSkins (Fantasy & Unnatural Tones)ScalesFur & FeathersMarks & Scars

This article introduces the QR Code ControlNet adapter. If you’re not yet familiar with the general idea behind ControlNet, I suggest reading this article first.The QR Code adapter is named after the QR code. To steal a bit from Ars Technica:QR codes, short for Quick Response codes, are two-dimensional barcodes initially designed for the automotive industry in Japan. These codes have since found wide-ranging applications in various fields including advertising, product tracking, and digital payments, thanks to their ability to store a substantial amount of data. When scanned using a smartphone or a dedicated QR code scanner, the encoded information (which can be text, a website URL, or other data) is quickly accessed and displayed.If you use a QR code as the control file for the QR Code adapter, the resulting picture will contain the recognizable pattern of the QR code — while still trying to represent your prompt:The QR code is usually distorted to some extent, but it mostly works thanks to the error correction built into the QR code system. QR codes don’t expect every scan to be perfectly aligned and clean.A much more interesting use is unrelated to QR codes. Any arbitrary pattern can be presented to this adapter, which leads to some fascinating effects:This picture is from another Ars Technica article about this adapter.People have gotten very creative with this:The author of this image even made a guide based on it.Here’s the pattern he used:I used the QR Code adapter for a few images here. I make the control file black and white and match its size to the intended picture size, although both of these steps seem to be optional. I use a weight in the 0.9 to 1.5 range.You should give a prompt that allows some freedom for the AI to fit into your pattern. Irregular, natural objects seem to work best — think clouds, fog, smoke, rocks, waves, flames, sand, or shadows. But there are really no wrong prompts. Just try and see.An easy way to convert an image with a prominent foreground object into a QR Code control file is to make a depth map for it and then edit it.And that's really all there is to it. This is a very simple adapter. Unlike Canny, Depth, and OpenPose, it doesn't even have a preprocessor; the only input is the pattern file.Here are five images I posted here that were made with QR Code adapter:And here are the patterns I used:Other articles about ControlNet:Introduction to ControlNetControlNet: Canny adapterControlNet: Depth adapterControlNet: Openpose adapter

BeginningWhen there are two characters in the scene, do you often find it difficult to control their interactions?I’ve prepared multiple dual-character action prompts for you! That, after testing, work well with most models. ✨If you have more, comment and let everyone know!✨ At the end of the article, there are Demonstration Images showing the effects.If you want to watch Video Tutorial (which is more efficient and intuitive), you can visit 👉 https://www.instagram.com/p/DJZpqM9SzxA/I'm Annie and this is a Prompts Series by TA Official, more prompt sharing will be released gradually in the future. And welcome to follow our Official Instagram 💗👉 https://www.instagram.com/tensor.art/ .This is where you can be the first to receive our shared videos.😉PromptsKisskiss -- キス -- 亲吻kiss cheek -- 頬へのキス -- 亲脸颊kissing forehead -- おでこにキス -- 亲额头french kiss -- ディープキス -- 法式接吻（舌吻）pocky kiss -- ポッキーキス -- 百奇棒接吻Head and Face relatedheads together -- 頭を寄せ合う -- 头靠头face-to-face -- 顔を合わせる -- 面对面cheek-to-cheek -- 頬を合わせる -- 贴面forehead-to-forehead -- おでこを合わせる -- 额头相贴noses touching -- 鼻を触れ合わせる -- 鼻尖相碰cheek-to-breast -- 頬を胸に当てる -- 脸颊贴胸head on chest -- 胸に頭を乗せる -- 头靠胸膛head on another's shoulder -- 肩に頭を乗せる -- 头靠肩膀 Eye contactlooking at another --アイコンタクト -- 对视lightning glare -- 鋭い睨み -- 锐利瞪视（带有电光）confrontation -- 対峙 -- 对峙Handholding hands -- 手をつなぐ -- 牵手hand on another's head -- 頭に手を置く -- 手放对方头上hand on another's cheek -- 頬に手を当てる -- 手抚脸颊hand on another's waist -- 相手の腰をつかむ -- 扶着对方的腰slapping -- 平手打ち -- 掌掴handshake -- 握手 -- 握手high five -- ハイタッチ -- 击掌pinky swear -- 指切りげんまん -- 拉钩约定fist bump -- フィストバンプ -- 碰拳Armheart hands duo -- ハートハンド -- 双手比心（双人）arm around neck -- 首に腕を回す -- 搂脖子，搂肩arm around the waist -- 腰に腕を回す -- 搂腰one armed carry -- 片腕抱き -- 单臂托抱locked arms -- 腕を組む -- 挽手臂heart arms -- ハートアーム -- 手臂比心（单人）arm wrestling -- 腕相撲 -- 掰手腕Hug and carryhug -- ハグ -- 拥抱cuddling -- 寄り添う -- 依偎hug from behind -- 後ろから抱きつく -- 背后拥抱shoulder carry -- 肩車 -- 扛肩waist hug -- 腰抱き -- 环腰抱bridal carry -- 花嫁抱っこ -- 新娘抱（婚礼式横抱）princess carry -- お姫様抱っこ -- 公主抱piggyback -- おんぶ -- 背背Others over the knee -- 膝の上 -- 膝上姿势lap pillow -- 膝枕 -- 膝枕shared umbrella -- 相合傘 -- 共撑一伞shoulder-to-shoulder -- 肩を並べる -- 肩并肩back-to-back -- 背中合わせ -- 背靠背asymmetrical -- 非対称フィット-- 非对称合照symmetrical-- 対称フィット -- 对称合照breast contest -- おっぱいコンテスト -- 胸部比拼Demonstration Image

This experiment was based on the Danbooru headware tag page.Generation settings:Model: 天震星幻V1.1LoRA1: Sailor Saturn XL:0.10(just a personal preference)LoRA2: Ultra_DetailerXL:2.00LoRA3: atmosphere_il_v1a2:1.00 (LoRA2 and LoRA3 are used to produce high-quality outputs even with lower sampling steps)VAE: AutomaticSampler: DPM++ 2S a KarrasKSampler: dpmpp_2s_ancestralScheduler: karrasSampling steps: 10CFG scale: 6Base prompt (unchanged except for the headware type in each test):masterpiece,best quality,high resolution,ultra-detailed, 1girl,perfect face, beautiful face, expressiveh,very detailed face,jewelry, hair ornament,hair flower,earrings,intricate, beautiful, highly decorative,luxury attire, White wedding dress, gothic style, gothic clothing,( *** any headwares *** :1.4),,Sailor Saturn XL,short hair,black hair,purple_eyes,Below are the headware images I generated based on this experiment.Please forgive any odd-looking dress outputs—I’m not a native English speaker, and some cultural nuances might have been missed.1.Types1.crown / 2.hat / 3.helmet2.Colours1.aqua hat / 2.black hat / 3.blue hat / 4.brown hat / 5.green hat6.grey hat / 7.orange hat / 8.pink hat / 9.purple hat / 10.red hat11.white hat / 12.yellow hat3.Hats With visor1.baseball cap / 2.budenovka / 3.deerstalker / 4.dianzi / 5.field cap6.kepi / 7.M43 field cap / 8.Mao cap / 9.newsboy cap / 10.peaked cap11.rogatywka / 12.shako cap / 13.mini shako cap4.Hats With brim1.bicorne / 2.boater hat / 3.boonie hat / 4.bowler hat / 5.bucket hat6.campaign hat / 7.cavalier hat / 8.cloche hat / 9.cowboy hat / 10.straw hat11.ajirogasa / 12.amigasa / 13.ayaigasa / 14.ichimegasa / 15.roningasa / 16.sandogasa / 17.torioigasa / 18.rice hat / 19.fascinator / 20.fedora / 21.female service cap22.flat cap / 23.gat / 24.paeraengi / 25.jingasa / 26.mob cap / 27.picture hat28.pirate hat / 29.pith helmet / 30.porkpie hat / 31.shampoo hat / 32.sombrero33.sun hat / 34.top hat / 35.mini top hat / 36.tricorne / 37.trilby38.tulip hat / 39.witch hat / 40.mini witch hat / 41.wizard hat5.Hats With ear flaps1.deerstalker / 2.earflap beanie / 3.budenovka / 4.papakha / 5.ushanka6.Hats Brimless1.ayam hat / 2.bashlik / 3.beanie / 4.earflap beanie / 5.beret / 6.chef hat7.flat top chef hat / 8.toque blanche / 9.coif / 10.dixie cup hat / 11.donald duck sailor hat12.dunce cap / 13.fez hat / 14.flight attendant hat / 15.fur hat / 16.bearskin cap17.papakha / 18.ushanka / 19.garrison cap / 20.hennin / 21.kippah / 22.mian guan / 23.mitre24.mortarboard High school/college graduation hat / 25.nightcap / 26.nurse cap / 27.party hat / 28.pillbox hat29.qingdai guanmao / 30.guapi mao / 31.sailor hat / 32.sajkaca / 33.santa hat34.mini santa hat / 35.songkok / 36.tam o' shanter / 37.tate eboshi / 38.tengai / 39.tokin hat / 40.tsunokakushi / 41.xiezhi guan7.Hats Misc1.animal hat / 2.hat with ears / 3.deviruchi hat / 4.bear hat / 5.rabbit hat / 6.cat hat7.dog hat / 8.fox hat / 9.pelt / 10.penguin hat / 11.wolf hat / 12.eggshell hat / 13.pumpkin hat8.Crowns1.circlet / 2.diadem / 3.fengguan / 4.mian guan / 5.mini crown / 6.saishi7.tiara9.Other1.aviator cap / 2.balaclava / 3.bandana / 4.bonnet / 5.dalachi6.Futou / 7.headscarf / 8.hijab / 9.jester cap / 10.jin / 11.dongpo jin / 12.tang jin / 13.zhouzi jin / 14.keffiyeh15.bowl hat / 16.bloomers on head / 17.book on head / 18.bra on head / 19.bucket on head / 20.food on head / 21.panties on head / 22.traffic cone on head / 23.okosozukin / 24.shower cap / 25.shufa guan / 26.tenugui / 27.turban / 28.visor cap29.veil / 30.zhuang hat10.Tip: Keeping Big Hats in Frame11.etc1.hat over eyes / 2.hat over one eye / 3.hand on headwareThank you for taking a look!

Hey all! So this article has been made upon request by some members of my discord to prompt different kinds of merfolk, I hope you find it useful! I use Illustrious based models, so keep it in mind as you might get different results!Striped tailMerman short orange hair, messy, freckles, round hazel eyes, joyful expression, naked chest, orange and white striped tail, soft fin edges, playful pose, underwater reef background, holding starfish, surrounded by schools of colorful fish, bubble trail risingClownfishMerman, short orange hair, messy, round hazel eyes, joyful expression, naked chest, (very detailed clownfish tail:1.8), (clownfish rounded fins), underwater reef background, surrounded by schools of colorful fish, bubble trail rising, male nipplesLionfishmerman, spiky red hair, long slicked back hair, glowing yellow eyes, intense glare, bold black and red striped tail, venomous-looking fin spines, underwater cave lit by bioluminescence, floating aggressively, arms spread wideAnglerfishmerman, (glowing lure antenna on forehead:1.5), sharp teeth, glowing purple eyes, , creepy grin, shadowy deep-sea background, bioluminescent tendrils on chest, pitch black tail, floating alone deep underwater, eerie stillnessSeahorseseahorse merman, light golden hair, short curls, teal eyes, curious look, (pastel yellow curled spiked tail:1.5), seahorse crown, coral reef background, naked chest, male nipplesOctopusnavy blue hair, slicked to one side, Octopus,monster boy,tentacle legs,tentacle lower body,scylla,octopus boy, purple-blue skin, glowing white eyes, playful smirk, muscular upper body, underwater background, holding enchanted scroll, tentacles mid-motionOrcaOrca Merman,black and white tail, strong jaw, very short black hair, icy blue eyes, battle scars, wearing thick leather harness, underwater cave background, muscular arms, firm expressionElectric eeleel hybrid male, sinuous body tapering into a long finned tail, pale electric-blue skin with dark streaks, glowing yellow eyes, sleek black wet hair, bioluminescent markings across arms, floating beside broken stone archway in submerged ruins, lightning crackling between fingers, intense glareBetaMerman, midnight blue hair, slicked back with loose strands, violet eyes, sharp stare, dramatic flowing tail like a crowntail betta in deep blue and red gradient, muscular torso, underwater trench, intense backlight, floating, aggressive postureGoldfishGoldfish Mermaid, orange curly hair, high messy bun, large golden eyes, smiling brightly, round soft body, translucent frilly tail with orange-and-white bubble eye goldfish pattern, lacy coral top, swimming through reeds and bubbles, sunlight glinting, playful twirl, underwaterAxolotl Mermanmerman, pale pink-white hair, soft waves, shoulder length, gentle teal eyes, serene smile, soft pink skin, translucent fins down arms and head, smooth short tail with a curled tip, glowing cavern lake, curled up resting pose, etherealKohaku Koimerman, white hair, long straight hair, center part, soft amber eyes, relaxed smile, white and red koi tail with large red markings, elegant white scaled bracers, underwater garden background with red lilies, leaning back on coral rock, arms open, serene expressionShowa Koimermaid, black curly hair, medium length, floating hair, golden brown eyes, confident smirk, black, red and white patterned koi tail, black pearls bikini top, underwater background, dramatic lighting, floating underwaterBekko Koimermaid, black straight flowy hair, very long, full blunt bangs, pale blue eyes, soft expression, white koi tail with black spots, white shell bikini top, swimming over kelps, underwaterShusui KoiMermaid, dark auburn hair, braided crown style, warm amber eyes, cheerful smile, sky blue koi tail with orange underbelly, simple pearl-strap top, shallow pool background with lotus pads,laying downUtsuri KoiMerman, black hair tied in low ponytail, violet eyes, serious look, black and golden yellow patterned koi tail, swimming over dark coral reef, arms crossed, brooding mood, naked chest, male nipplesGoshiki KoiMermaid, gray hair, medium loose curls, red eyes, sly grin, red and light gray koi tail, white bra top, underwater background, school of fishes, swimming twirling, hair flowing, playful expression

I’m not very knowledgeable about dresses, so I conducted a small personal study to better understand how to prompt for beautiful dress designs in AI-generated images.This experiment was based on the Danbooru dress tag page.For your reference, I’m sharing the generated results here. I hope this helps others who are exploring the same topic!Generation settings:Model: 天震星幻V1.1LoRA1: Sailor Saturn XL:0.10(just a personal preference)LoRA2: Ultra_DetailerXL:2.00LoRA3: atmosphere_il_v1a2:1.00 (LoRA2 and LoRA3 are used to produce high-quality outputs even with lower sampling steps)VAE: AutomaticSampler: DPM++ 2S a KarrasKSampler: dpmpp_2s_ancestralScheduler: karrasSampling steps: 10CFG scale: 6Base prompt (unchanged except for the dress type in each test):masterpiece,best quality,high resolution,ultra-detailed, 1girl,perfect face, beautiful face, expressiveh,very detailed face,jewelry, hair ornament,hair flower,earrings,intricate, beautiful, highly decorative,luxury attire, ,( ***any dress*** :1.4),standing,full_body,Sailor Saturn XL,short hair,black hair,purple_eyes,Below are the dress images I generated based on this experiment.Please forgive any odd-looking dress outputs—I’m not a native English speaker, and some cultural nuances might have been missed.1.Specific colors of dress1.aqua dress / 2.black dress / 3.blue dress / 4.brown dress / 5.green dress6.grey dress / 7.orange dress / 8.pink dress / 9.purple dress / 10.red dress11.white dress / 12.yellow dress2.Multiple colors of dress1.multicolored dress / 2.two-tone dress / 3.two-sided dress3.Patterns and prints of dress1.argyle dress / 2.checkered dress / 3.flag dress / 4.plaid dress / 5.polka dot dress6.print dress / 7.striped dress / 8.vertical-striped dress / 9.pinstripe dress4.Lengths of dress1.long dress / 2.medium dress / 3.short dress / 4.microdress5.Other details of the appearance of the dress1.armored dress / 2.backless dress / 3.crinoline / 4.collared dress / 5.frilled dress6.fur-trimmed dress / 7.glitter dress / 8.half-dress / 9.halter dress / 10.highleg dress11.high-low skirt / 12.hobble dress / 13.impossible dress / 14.lace-trimmed dress / 15.latex dress16.layered dress / 17.off-shoulder dress / 18.pleated dress / 19.plunging neckline / 20.ribbed dress21.ribbon-trimmed dress / 22.side slit / 23.taut dress / 24.see-through dress / 25.sleeveless dress26.strapless dress6.Models of dress as a whole1.cake dress / 2.china dress / 3.coat dress / 4.cocktail dress / 5.denim dress6.dirndl / 7.evening gown / 8.flowing dress / 9.funeral dress / 10.gown11.mermaid dress / 12.negligee / 13.nightgown / 14.pencil dress / 15.pinafore dress16.sailor dress / 17.santa dress / 18.sundress / 19.sweater dress / 20.tennis dress21.tent dress / 22.trapeze dress / 23.tube dress / 24.ao dai / 25.wedding dress7.Puffy sleeves1.puffy short sleeves / 2.puffy long sleeves / 3.juliet sleeves / 4.puffy detached sleeves / 5.puff and slash sleevesThank you for taking a look!

This article introduces the OpenPose ControlNet adapter. If you’re new to ControlNet, I recommend checking out my introductory article first.I don’t use OpenPose much myself, since I find the Canny + Depth combination more convenient. But I did some experiments specifically for this article, so consider this a first look rather than a deep dive.The OpenPose adapter lets you copy the pose of humanoid characters from one image to another. Like other ControlNet adapters, it uses a preprocessor that takes an input image and generates a control file, in this case - a stick figure representing the positions of key joints and limbs. This stick figure then guides the image generation process. Here is an example:Left - original picture by Chicken, center - stick figure generated by the OpenPose preprocessor, right - stick figure overlaid on the original image.As you can see, the stick figure isn’t a full skeleton but marks key joints as dots connected by lines. The colors aren’t random, they follow a color code for different bones and joints. Bing search gives this reference for them. Here is the list of joints and bones with color scheme:Looking at the example above, I think preprocessor didn't do a good job this time, a few joints seem to be quite a way off the mark and the legs are missing. The picture is somewhat non-trivial, it is close top-down view with perspective distortion. Still, preprocessor should have been able to handle it. It seems to be easy enough to alter the stick figures or even make them from scratch.Openpose seems to be sensitive to scheduler and sampler settings. Unlike Canny and Depth, it refused to work with karras/dpm_adaptive I use normally, so I switched to normal/euler, 20 steps.Here are the settings:And here are the results:As you can see, the pose and head position are copied to some extent.I used the default preprocessor here, there are more:Here is the stick figure for openpose_full:It includes fingers. A single white dot represents face, I guess preprocessor just failed here. Fingers are nowhere to be seen in the results:It seems the preprocessor and the main model are out of sync.The dw_openpose_full stick figure looks promising:It includes markings for face, eyes and mouth contours. Results, though, are disappointing, it seems to be completely ignored. I think dw_openpose_full preprocessor is not compatible with the adapter model.So, yeah, quite disappointing. It is not a complete loss, it does work to some extent and can be useful. It is just difficult to be excited about this one.I should point out that I’m specifically talking about the ControlNet OpenPose adapter for the SDXL-based model on tensor.art, these conclusions are in no way representative for other implementations of this adapter. Also, it is possible that I am "holding it wrong". These things can be tricky and my experience using it is very limited.If I am missing something here, feel free to drop a comment.

Hey all! So I know a lot of you struggle when prompting for backgrounds, and I'd like to give you a few tips to help you achieve what you're looking for!Template FormulaWe're going to use this template to make it easier when prompting for backgrounds, of course, you don't have to fill in all of these, it's just an idea to get you going![indoor/outdoor], [theme/style], [key background location], [important objects or structures], [time of day], [weather], [lighting/mood adjectives], [small background details]Examples1. 📍 INDOORSModern IndoorsApartment interior — minimalist furniture, exposed brick wall, soft warm lighting, windowsCorporate office — glass walls, desks with chairs and computer, a plant, filing cabinets, folders, cityscape visible outside, fluorescent lightsCafé — rustic tables, warm lights, crowded shelves, coffee machineFantasy IndoorsAncient library — towering bookshelves, candles, massive dusty tomes, wooden rustic tablesMage’s tower room — arcane symbols on walls, glowing crystals, ancient scrolls and books piled on table, wooden desk, magic clutterCastle Hall — stone walls, banners, chandeliers, long tables, warm lightSci-Fi IndoorsSpaceship cockpit — holographic displays, metal walls, blinking control panelsCyberpunk hacker den — glowing monitors, tangled wires, dark metal desk, neon graffiti wallsAlien temple — bioluminescent carvings, strange pulsating walls, hovering energy artifactsHistorical IndoorsMedieval tavern — wooden beams, crowded tables, candlelight flickering, tankards of aleVictorian parlor — velvet chairs, ornate rugs, grand fireplace, oil paintings on wallsRoman villa atrium — marble columns, mosaic floors, small fountain, lush plants2. 🌲 OUTDOORSModern OutdoorsUrban city street — skyscrapers, busy traffic, flashing billboards, nighttime rain reflectionsSuburban park — morning, trimmed green lawns, tree-lined walking path, benchAbandoned warehouse yard — cracked pavement, broken fences, overgrown weeds, graffiti muralsFantasy OutdoorsEnchanted forest — glowing mushrooms, ancient twisted trees, magical fog creeping at feetDragon graveyard — giant skeletal remains, charred black ground, perpetual red sunsetMountain castle — green mountain cliffs, big stone castle treesSci-Fi OutdoorsAlien desert planet — red sun, red cracked earth, distant colossal ruins, swirling sandstormsMega-city skyline — impossibly tall towers, neon holograms, hovercars zipping past, misty lower levelsAsteroid mining station exterior — rocky surface, space shuttles parked, distant planets visible in black skyHistorical OutdoorsMedieval battlefield — muddy trenches, shattered banners, smoke rising from distant firesViking fjord village — wooden longhouses, smoky chimneys, mountains meeting icy watersFeudal Japan village — thatched roofs, winding stone paths, cherry blossom trees in bloom🧠 Bonus Tips for Background PromptingMention time of day: morning, dusk, night, midnight, dawn.Weather adds mood: rainy, snowy, foggy, stormy, sunny, dusty.Use adjectives to strengthen the scene: "ruined", "elegant", "oppressive", "overgrown", "desolate", "bustling".Think of lighting: neon lights, candlelight, moonlight, glowing fog, flickering torches, cyber glow.Use 2-3 small details to make scenes vivid without overloading.🖊Quick Ideas1. Indoor or Outdoor?indooroutdoor2. Theme or Style?modernfantasysci-fihistoricalcyberpunksteampunkdark horrormedievalpost-apocalyptic3. Location Examples?apartment interiorcastle throne roomneon city streetfloating islandviking villageabandoned labhacker densecret gardenspaceship bridge4. Objects/Structures?glowing runessteel beamsgrand chandeliersruined statuesmarket stallsold booksovergrown vinesshattered glassritual circles5. Time of Day?morningafternoonsunsetdusknightmidnightdawn6. Weather?clear skyrainingsnowingfoggystormywindydusty7. Lighting or Mood Adjectives?soft candlelightharsh neon gloweerie blue lightgolden sunset glowdim flickering lightbioluminescent mistcrackling fires8. Small Details?footsteps in dustabandoned backpacksbloodstains on floorflying paper scrapsvines creeping up wallsholographic adsancient symbols carved on walls

The difference from other ACG 2 REAL tools lies in: more realistic facial features and photographic qualityThe limitation is that it's not suitable for overly complex movements, and hands might occasionally have issuesHow to use:Input your photoSelect a face model (you can check image details in related posts to preview effects by number)GO*If you have a custom prompt, please add a comma at the endYou'll receive two images - one is the standard result like other ACG2REAL tools (used as guidance for the next image), and the other is this TOOL's specialty image.There is also a version that consumes less cresits here ，It’s just that the control is not that precise, and the reproduction of complex movements is not very goodIf there is an error in the hand, you can try to fix it with this toolHope you like it!

Hey all! I made a visual example of the different hairstyles you can use for your prompts. Keep in mind that you can pair the hairstyles with the length of the hair too!Shoutout to annnnnie for the hairstyle list!

Ever wondered how your favorite anime character would look in real life? I built some AI tool that transforms ACG (Anime, Comics, Games) images into photorealistic portraits—perfect for artists, cosplayers, or curious fans!  🔮Access Tiers (Simple & Transparent)Free Tier​(click to use):A2R Free V1:Low credit consumption, not suitable for multiple people and complex compositionsA2R Free V2:More realistic and cosplayer-like, details may be differentPro​-less credits(click to use):A2R Pro L V1:Advanced version of 【A2R FreeV1】A2R Pro L V2:Very real, but the details will changePro​-more credits(click to use):A2R Pro M V1:A version with perfect detailsA2R Pro M V2:The original versionA2R Pro M V3:The most perfect detail restorationA2R Pro M V4:The most realistic face, more like a cosplayerAmplification and restorationSometimes the generated image will have misplaced hands or feet，Or you may want to output it in a larger sizeI made two tools to help with this adjustment, they are free，click to useHand and foot repair toolImage Upscale Tool

BeginningHairstyles are so diverse and ever-changing. Here are 100+ Effective HairStyle Prompts for you!The tested Model is ✨WAI-NSFW-illustrious-SDXL✨ , these prompts perform also well on most models.If you want to watch Video Tutorial (which is more efficient and intuitive), you can visit 👉 https://www.instagram.com/p/DH59PgJS-5A/More prompt sharing will be released. Stay tuned! And welcome to follow TensorArt Official Instagram 💗👉 https://www.instagram.com/tensor.art/This is where you can be the first to receive our shared videos.😉PromptsLoose Hairwavy hair , ウェーブヘア｜波浪卷 卷发curly hair , 巻き毛｜小卷 卷发messy hair , メッシーヘア｜乱乱的头发straight hair , ストレートヘア｜直发single sidelock , シングルサイドロック｜单边发放下asymmetrical sidelocks , アシンメトリーサイドロック｜不对称鬓角single hair intake , シングルヘアインテーク｜单发发旋hair intakes , ヘアインテーク｜发旋bob cut , ボブカット｜波波头inverted bob , 逆ボブ｜反向翻转波波头flipped hair , フリップヘア｜头发下侧翘起来wolf cut , ウルフカット｜狼尾hime cut , 姫カット｜公主姬mullet , マレット｜鲻鱼头half updo , ハーフアップ｜半扎发Tailsponytail , ポニーテール｜马尾side ponytail , サイドポニーテール｜侧马尾high ponytail , ハイポニーテール｜高马尾folded ponytail , 折り返しポニーテール｜折叠马尾short ponytail , ショートポニーテール｜短马尾two side up , ツーサイドアップ｜双侧扎发one side up , ワンサイドアップ｜单侧扎发uneven twintails , 不揃いなツインテール｜不齐双马尾twintails , ツインテール｜双马尾low twintails , ローツインテール｜低双马尾short twintails , ショートツインテール｜短双马尾low-tied sidelocks , ロータイサイドロック｜低扎鬓角multi-tied hair , マルチタイドヘア｜多重扎发BraidCrown braid , クラウンブレード｜皇冠麻花辫Folded braid , 折り込みブレード｜折叠麻花辫French braided ponytail , フレンチブレードポニーテール｜法式辫马尾French braided twintails , フレンチブレードツインテール｜法式辫双马尾Half up braid , ハーフアップブレード｜半扎麻花辫Low-braided long hair , ローブレードロングヘア｜低麻花辫长发Side braid , サイドブレード｜侧麻花辫Single braid , シングルブレード｜单麻花辫Twin braids , ツイン編み込み｜双麻花辫Bun & DrillsBun with braided base , 編み込みベースお団子｜麻花辫编成底部丸子头double bun , ダブルおだんご｜双丸子头cone hair bun , コーンおだんご｜锥形丸子头donut hair bun , ドーナツお​​だんご｜甜甜圈丸子头bow-shaped hair , ボウシェイプヘア｜蝴蝶结形发型drill hair , ドリルヘア｜钻头卷发twin drills , ツインドリル｜双钻头卷发ringlets , リングレット｜卷环发drill sidelocks , ドリルサイドロック｜钻头卷鬓角hair rings , ヘアリング｜发环single hair ring , 一重ヘアリング｜单层发环Bangsbangs , 前髪｜刘海bangs pinned back , ピンで留めた前髪｜用发夹固定的刘海blunt bangs , 鈍い前髪｜齐刘海Braided bangs , 編み込み前髪｜编辫刘海crossed bangs , クロス前髪｜交叉刘海choppy bangs , 不揃い前髪｜参差刘海diagonal bangs , 斜め前髪｜斜刘海hair over eyes , 目にかかる髪｜遮眼发hair over one eye , 片目にかかる髪｜遮一只眼发hair between eyes , 目の間の髪｜眼间发parted bangs , 分け目のある前髪｜分缝刘海curtained hair , カーテンヘア｜帘式刘海wispy bangs , 薄い前髪｜稀疏刘海short bangs , 短い前髪｜短刘海swept bangs , 流した前髪｜侧扫刘海Ahogeahoge , アホ毛｜呆毛heart ahoge , ハートアホ毛｜心形呆毛huge ahoge , 巨大アホ毛｜巨大呆毛antenna hair , アンテナヘア｜天线发heart antenna hair , ハートアンテナヘア｜心形天线发Othersnihongami , 日本髪｜日本髮型pointy hair , 尖った髪｜尖发spiked hair , スパイクヘア｜刺猬头buzz cut , バズカット｜平头crew cut , クルーカット｜短平头flattop , フラットトップ｜平顶头undercut , アンダーカット｜剃鬓侧削发cornrows , コーンロウ｜玉米鬃辫dreadlocks , ドレッドヘア｜脏辫pompadour , ポンパドール｜蓬巴杜发型hair slicked back , 髪を後ろになでつける｜油头pixie cut , ピクシーカット｜精灵短发Special ThanksSome prompts shared this time are sourced from @hypersankaku2. Follow him/her on Twitter to support!https://x.com/hypersankaku2

BeginningHand Gesture have always been a very challenging aspect to control. I wish to share some highly effective prompts for controlling Gestures.The tested Model is ✨🎨Illustrious - AnimeMaster✨ and these prompts perform well on most models.At the end of the article, there are Demonstration Images showing the effects.If you want to watch Video Tutorial (which is more efficient and intuitive), you can visit 👉 https://www.instagram.com/p/DIeFERbygkO/?hl=zh-cnI'm Annie and this is a Prompts Series by TA Official, more prompt sharing will be released gradually in the future. Stay tuned! And welcome to follow our Official Instagram 💗👉 https://www.instagram.com/tensor.art/ .This is where you can be the first to receive our shared videos.😉PromptsFingersindex_finger_raised 、人差し指を上げる｜举起食指shushing 、しーっ｜嘘🤫pinky_out 、小指を外側に出す｜翘小拇指thumbs_down 、親指を下に向ける｜差评👎thumbs_up 、親指を立てる｜点赞👍double_thumbs_up 、二本親指を立てる｜双手拇指点赞finger_gun 、指銃｜手枪double_finger_gun 、二本指銃｜双手手枪two_finger_salute 、二本指で敬礼する｜二指敬礼finger_frame 、指フレーム｜手指比取景框spread_fingers 、指を広げる｜分开手指x_arms 、腕を組む｜手臂比叉x_fingers 、二本指｜手指比叉fidgeting 、そわそわするV｜食指相对steepled_fingers 、尖った指｜手指金字塔Victory Signv 、ピース｜比耶✌️double_v 、二本V｜双手比耶v_over_eye 、vを目にかざす｜眼睛前比耶v_over_mouth 、vを口にかざす｜嘴巴上比耶gyaru_v 、ギャルのv｜反手比耶 辣妹式Fistpower_fist 、パワーフィスト｜挥拳fist_bump 、拳を突き合わせる｜碰拳fist_in_hand 、手に握りしめた拳｜紧握拳头clenched_hands 、握りしめた手｜紧握双手Pointingpointing 、指さし｜指pointing_at_self 、自分を指さすf｜指自己pointing_at_viewer 、視聴者を指差す｜指向关注pointing_down 、下を向いている｜向下指pointing_forward 、前を向いている｜向前指pointing_up 、上を向いている｜向上指Coveringcovering over face 、顔を覆う｜遮住脸covering over eyes 、目を覆う｜遮住眼睛covering over mouth 、口を覆う｜遮住嘴covering over ears 、耳を覆う｜遮住耳朵Otherscupping_hands 、両手をすくめる｜杯状手own_hands_clasped 、自分の手｜握住自己的手money_gesture 、お金のジェスチャー｜金钱手势ok_sign 、OKサイン (very similar to money_gesture)｜比OKtwirling_hair 、髪をくるくる回す｜玩头发shadow_puppet 、影絵｜影子手偶fox_shadow_puppet 、キツネの影絵｜狐狸影子手偶pinching_gesture 、つまむジェスチャー｜捏合手势reaching 、手を伸ばす｜伸手waving 、手を振る｜挥手beckoning 、手招きする｜招手

こんにちは！今回は、AI画像生成コミュニティ「Tensor.Art」で開催中の春のユニークなイベント**『AI Tool Easter - GPT-4o Revival』**をご紹介します！GPT-4oの話題のフィルターを使って、可愛いイースターエッグをゲットしちゃおう！参加方法やルール、報酬内容をわかりやすくまとめました🌸🗓️ イベント概要イベント名：AI Tool Easter - GPT-4o Revival開催期間：2025年4月17日 〜 4月24日（UTC基準）　※日本時間では 4月17日 午前9時 〜 4月24日 午前9時🎯 どんなイベント？GPT-4o関連のAIツールや投稿に、**指定タグ（#GPT4o）**を付けて投稿すると、さまざまな「イースターエッグ（報酬）」がもらえる、遊び心満載のイベントです✨対象のタスクをクリアすると、ランダムでイースターエッグがプレゼントされます🎁中身は、クレジットやGPUファンド、Proプランなど盛りだくさん！🥚 タスク＆報酬一覧（Egg Task List）🛠️ タスク内容🎁 報酬#GPT4oタグ付きでAI Toolを公開Poached Egg（確定）#GPT4oタグ付きAI Toolで投稿ランダムなEaster Egg作成したAI Toolが「30人以上に使われる」ランダムなEaster Egg作成したAI Toolが「Most Run」でTop10入りランダムなEaster Egg※すべてのAI Toolはimg2img形式で、最大2つまでのパラメーター公開が必要です。🎁 イースターエッグの中身は？エッグの種類内容出現確率Poached Egg$1分のGPUファンド公開時に確定Golden Egg$5分のGPUファンド25%Green Egg777クレジット30%Blue Egg7日間のProアカウント45%💡 イースターエッグはランダム配布＆バッジ形式で受け取れます！✅ 参加ルール＆注意点投稿やツールには必ず「#GPT4o」タグを付けてください（付け忘れは報酬対象外）不適切なコンテンツ（NSFW、著名人の画像、暴力、低品質なもの）は対象外デフォルトアバターやニックネームのままだと報酬がもらえません不正行為は即失格報酬はタスク完了の翌営業日以降に配布、遅くともイベント終了から3営業日以内に配布完了🐣 こんなフィルターが人気！今回のイベントでは、以下のようなフィルター例が紹介されています：LEGO風フィルタースヌーピー風シンプソンズ風AirPodsの中にキャラが入る「Me in Airpods」など！もちろん、これ以外の独創的なスタイルも大歓迎とのこと！✨ まとめAIツールを投稿するだけで、報酬がもらえちゃうこのイベント。「ちょっと面白いフィルターを作ってみたい！」という方にはぴったりです🎨まだTensor.Artを使ったことがない方も、このイースターのチャンスにぜひ参加してみてください！あなたのツールが人気になるかも…？👉参加はこちらから🔗 https://tensor.art/blackboard/AIToolEaster?tab=info

How to create Lora (Basic version)I believe that when creating an image you like, you may sometimes feel that some element is missing, and you may try to search for the relevant lora, but still cannot find it.At this time, you may think, should I make a lora myself? In this way, in my future works, maybe I can highlight more of the elements I like! I can also share it with my creative partners.Let’s get started!First, you need to collect more pictures of similar elements (about 12 pictures), and the picture resolution should be higher, so that when you use it with other LoRa in the future, the pictures will be clearer, unless the element you want is a hazy feeling.Next, it’s time to start training!First, open the user interface and there is a model I trained. Then click the online training in the upper left corner to enter the training interface. Add the prepared image in the lower left corner. Select the basic model type you often use in the upper right corner, such as: sd1.5, sd3.5, pony, flux, Hunyuan, etc.Next, you need to consider your computing power budget, because if you use different basic models to train the same image, the results will be very different, and the computing power consumption will also be different. Also, can you use it together with the commonly used LoRa?For the trigger word part, you can input the most important elements of this lora. You can choose not to input them first and wait until you see the training results.The prompt word part seems to affect the training results. If you have a clear goal, you can enter it. The default is 1girl. If your element is not a girl, you can change it or leave it blank.OK, next click on training, wait in line and check the training time.After the training is finished, I will look at the training results. There are ten training results in total. I usually choose one from the sixth to the tenth one that looks closer to the result I want and press publish.Select Create Project at the top.Enter the project name (be careful, this cannot be changed)Select Lora TypeAdd lora tagparameterI usually choose 500 for the number of iterations.Type the trigger word and descriptionSelecting a base modelReverse prompt wordUpload files unless they are the result of previous trainingOtherwise, I usually adjust the precision to fp32.Showcases (Image/Video)If you are uploading the results of a previous training, you need to upload the workbench image and cover imageOK, press PublishAdjust the details again, update and wait for the system to be deployed, then you can try it out and see your results!😁😁😁

Tutorial de Doujin Master (traducción en español del original)¡Esta herramienta te ahorra la molestia de buscar nombres de personajes de anime y aprender a representar sus poses y expresiones!https://tensor.art/template/846371912090192788Simplemente sube dos imágenes:Una imagen de tu personaje de animeUna imagen de la pose y el contenido que quieres que adopte el personajeLuego, selecciona un modelo (cada modelo tiene sutiles variaciones; experimenta y elige tu favorito).Después, elige un estilo de artista de anime. El predeterminado es Yoneyama Mai, una de las ilustradoras de anime más populares del momento.También hay una opción avanzada para controlar la similitud de la imagen generada con tu referencia:Los valores más altos hacen que el resultado se parezca más a tu imagen de referencia.Los valores más bajos lo mantienen más cercano a tu personaje original.Aquí tienes un ejemplo: Seleccioné el primer modelo, puse a Sailor Moon como personaje y usé una ilustración de anime de Pinterest como referencia de pose. Para **[detalle de control de pose], elegí medio.

서양화, 점묘화를 매력적으로 그리는 도구들이 흥미로워서 둘러보다가Claude Monet's ~~ 도구를 이용해서 대략적인 이미지를 제작해보기로 했다.단일 AI도구로는 즉시 사용하기 어려운 퀄리티의 이미지가 자주 나오는데이 도구는 한 번에 꽤 괜찮은 결과물이 나왔다.물론 두-세번 시도하긴 했지만 나중에 생각나면 다시 써봐야지.While exploring tools for creating captivating Western paintings and pointillism artworks, I came across Claude Monet's ~~ tool and decided to generate a rough image with it.With a single AI tool, the quality of the images is often not immediately usable, but this tool produced a fairly decent result in just one go.Of course, I tried it two or three times, but I should definitely give it another shot if I think of it later.

This tool can save you the hassle of searching for anime character names and figuring out how to depict their poses and expressions!Simply upload two images:A picture of your anime characterAn image of the pose and content you want the character to adoptThen, select a model (different models have subtle variations—feel free to experiment and pick your favorite).Next, choose an anime artist style. The default is Yoneyama Mai—one of the most popular anime illustrators right now.There’s also an advanced option to control how closely the generated image matches your reference:​Higher values make the output closer to your reference image.​Lower values keep it closer to your original character.Here’s an example: I selected the first model, input Sailor Moon as the character, and used an anime illustration from Pinterest as the pose reference. For ​**[pose control detail], I chose medium.

Line Art Coloring Tool TutorialThis guide covers the ​free version first.​Upload an image (self-explanatory).Optionally, add a ​prompt if you want to control specific color areas.Adjust ​Line Drawing Control Strength (default: Low).Higher values enforce stricter adherence to line art but reduce AI-added details.Click ​Generate to receive a ​1024px image (facial nodes are auto-refined). For larger sizes, use my ​free upscaling tool.​PRO/Paid Version Features​Larger output (1536px) with enhanced detail refinement.​Multiple style models: Beyond Anime Flat, convert line art to ​2.5D, ​3D, or ​realistic styles.​Continuous updates with improved models.​Expressive H Styles (PRO exclusive):Boosts visual dynamism, but avoid pairing with High Line Drawing Control—this often causes artifacts.You can get the PRO （It is free to use during the review）version or Paid （Not online）version hereEnjoy using the tool! For best results, balance settings carefully.

New! LoRA Support:Tool LinkLORA NAME Workflow Updated ♪(´▽｀)Lora can now be added by using their "file_name", to get this name you need to run this workflow, to get the proper lora string. Write that file into the provided field, IGNORE THE WARNING,Add any keywords your LoRA may have in the main prompt, test with a small, short video first, just to make sure you got the name right. Previous Guide:You need 2 images, the one you want to animate and the surrounding context, usually it would be the same image but in the case you want to do a slimmer image for example you would place the 1:1 image on the context slot and the image you want to animate in the animate image slot.For the example video, the slimmer image is the animate image and the squared one is the context image.

1. コンテスト概要スキル、創造性、運が試されるビデオ生成コンテストHunyuan Video Modelまたはそのファインチューニングモデルを使用してビデオを生成image2videoまたはtext2videoのいずれかの方法で生成可能2. 課題内容以下の3つのテーマに基づいて創造的なビデオを生成テーマ1：TENTEN AND PENGUINHunyuanの公式マスコットペンギンとTAのマスコットTentenの出会いを描くタグ：tenguinテーマ2：ARTWORK MEMEアートワークを題材としたミームビデオタグ：artworkmemeテーマ3：LIE DOWN ANYWHEREどこでも寝転がる様子を描いたビデオタグ：liedownビデオの解像度に関する注意点：960x960の解像度では5秒の動画は非互換性があるため、3秒または4秒を選択してください。3. 報酬最もいいね！が多かった賞各テーマの上位10名（合計30名）報酬：9.9米ドルラッキーチャレンジャー賞最もいいね！が多かった30名のうち、タイムスタンプが13番目と27番目の投稿者報酬：29.9米ドル報酬はGPU Fundに発行参加賞100クレジット追加ボーナス300クレジット+1日PROInstagram、Facebook、X(Twitter)、Youtube、Tiktok、Pinterest、redditなどのチャンネルで#tensorart & #hunyuanのハッシュタグをつけて投稿。4. 参加方法上記いずれかのプラットフォームに、ハッシュタグ#tensorart & #hunyuanを付けて課題に関連するコンテンツを投稿報酬を受け取るために、アンケートに回答（右側のリンクアイコンから）5. 参加規約投稿はイベント要件（Hunyuanモデルとテーマの使用）を満たす必要あり。1つの投稿に追加できるイベントタグは1つのみ。不正行為を防ぐため、3月3日以前に登録されたユーザーからのいいね！のみが「有効ないいね！」としてカウントシステムのデフォルトのニックネームとアバターは報酬を受け取る資格なし投稿コンテンツはオリジナルである必要があり、再投稿や盗用は禁止児童ポルノ、有名人のポルノまたは侮辱はTAで禁止。NSFWコンテンツ、および低品質のコンテンツはアクティビティから失格となります。不正行為は禁止。異常または違反の疑いがある場合は、プラットフォームはユーザーの参加資格を取り消し、関連する違法ユーザーに対する法的責任を追及する権利を留保。アクティビティの最終的な解釈権はTensorArtに帰属

A step-by-step guide on how to train a LoRA; part 3!Warning: This guide is based on Kohya_SSThis guide REQUIRES that you read "How I LoRA: A beginners guide to LoRA training | Part 1: Dataset Prep." and "How I LoRA: A beginners guide to LoRA training | Part 2: Training Basics"This guide CAN be ported to Tensor.art's trainer; if you know what you are doing.This guide is an (almost) 1:1 of the following guide: https://civitai.com/articles/3522/valstrixs-crash-course-guide-to-lora-and-lycoris-trainingEdits were made to keep it short and only dive into the crucial details. It also removes a lot of recommendations I DO NOT follow.; for more advanced information, please support the original guide. If you want to do things MY way, keep reading.THE SETTINGS USED ARE BASED ON SDXL, DO NOT FOLLOW IF YOU ARE TRAINING ON V-PRED OR 1.5Testing your LoRAThere are two ways to test a LoRA. During training and after training.During:While on your Kohya_ss, there is a section for a "test" prompt. Use it. If you followed the guide you should have set "save every N epoch" as 1. Meaning that every epoch it will save a model and by proxy, test it with the given prompt.Look at each image, and judge its quality.After (The right way):After training is done, move all your safetensors files to your lora folder on your WebUI instalation. I will asume you have A1111, A1111 Forge or A1111 Re-Forge (the best one).On your WebUI, set yourself up with all the settings you would normally use; checkpoint, scheduler, etc.Copy/paste one of your dataset prompts to the prompt area (This will test overfitting).Navigate to the LoRA subtab and add the first file; ie.: Shondo_Noob-000001.safetensor, this will add the LoRA to the prompt as: <lora:Shondo_Noob-000001:1>; change the :1 to :0.1Set a fixed seed; ie.: 1234567890Scroll down to the "script" area of your WebUI and select X/Y/ZSet your X, Y and Z as "Prompt S/R"On X; write all of your LoRA's filenames; ie.: Shondo_Noob-000001, Shondo_Noob-000002, Shondo_Noob-000003, Shondo_Noob-000004, etc. Depending on how many files you saved, their names, etc. ALWAYS SEPARATE WITH A COMMA.On Y; write all the strength variables from 0.1 to 1, ie.: 0.1, 0.2, 0.3, etc. ALWAYS SEPARATE WITH A COMMA.On Z; write an alternate tag to test flexibility, so, if your prompt is: "fallenshadow, standing, dress, smile", write something like: dress, nude, swimwear, underwear, etc. This will create a grid where instead of wearing a dress, she will be nude, wear a swimsuit, etc. ALWAYS SEPARATE WITH A COMMA.If you did a concept LoRA or a style lora:On your WebUI, set yourself up with all the settings you would normally use; checkpoint, scheduler, etc.Copy/paste one of your dataset prompts to the prompt area (This will test overfitting).Navigate to the LoRA subtab and add the first file; ie.: doggystyle-000001.safetensor, this will add the LoRA to the prompt as: <lora:doggystyle-000001:1>; change the :1 to :0.1Set a fixed seed; ie.: 1234567890Scroll down to the "script" area of your WebUI and select X/Y/ZSet your X and Y as "Prompt S/R"On X; write all of your LoRA's filenames; ie.: doggystyle-000001, doggystyle-000002, Shondo_Noob-000003, doggystyle-000004, etc. Depending on how many files you saved, their names, etc. ALWAYS SEPARATE WITH A COMMA.On Y; write all the strength variables from 0.1 to 1, ie.: 0.1, 0.2, 0.3, etc. ALWAYS SEPARATE WITH A COMMA.Selecting the right fileOnce the process finishes, you should have at least 2 grids, one XY with dress, and another with nude (for example). Or one if you didnt set up an Z grid. Up to you.Now look at the grid and look for the "best" result. Look at the art style bias, pose bias, look bias, etc. The more flexible the better. If on fallenshadow-000005 shondo's pose is always unique but after 000006 she's always standing the same way, ignore 000006+If at some point the art style gets ignored or changes and fixates on it; ignore it.If at some point ANYTHING starts repeating that you don't want; ignore it.The only thing that should repeat at all times is whatever corresponds to the trained concept. If you only trained a wolf with a hat but it should always be a different hat, avoid a file that gives him the same hat on the same pose with the same style.If the result image is identical to the training data; avoid it! You are not here to do the same images as your data, you are here to make new ones, remember?If colors are weird; bad.If shapes are mushy; bad.If angle is always the same; bad (unless you prompted for it).Anything that goes against the concept or the flexibility of it: BAD.Any file that has to be lower than 1 or 0.9: BAD. If your LoRA "works best" at 0.6 strenght, it's shit.THIS IS IT FOR PART 3. Now do some good cool loras.

Hello, welcome to my new AI TOOL: ACG TO REAL大家好，欢迎使用我的新AI TOOL：ACG TO REAL另外一款也不错Another good one is here:https://tensor.art/template/814153859164446330This is another excellent tool for converting anime to real people. Compared to ⭐️⭐️PRO⭐️⭐️Anime Come True, while it may not replicate as accurately, it uses fewer credits and generates results faster这是另一个不错的动漫转化真人的tool，相对于⭐️⭐️PRO⭐️⭐️Anime Come True来说，虽然没有那么准确的复刻，但耗费的credits更少，生成的速度更快First, let me list some best practice combinations. If you don’t want to read a lengthy article, just look at these three solutions:首先，我来列举一些最佳实践的组合，如果你不想看冗长的文章，只看这三个方案就可以：Let me explain the model and parameter combinations to help you use it better:下面我来讲一下模型和参数的搭配，希望能帮助你更好的使用：A. Regarding ethnicity, it depends more on the checkpoint model 关于人种，更多取决于checkpoint modelCaucasian appearance 欧美人种⬇Asian appearance 亚洲人种⬇B. For adding realistic details, you can use lora model关于真实细节和的添加，可以使用lora modelMore details 更多细节⬇More realistic faces 更真实的脸⬇More accurate reproduction 更精准的还原⬇C. About Params selection关于Params的选择Low = closer to anime image, but lowest realism, possible body distortions低=更接近动漫图，但真实感最低，可能会有肢体的崩坏High = more realistic, more reasonable body proportions, but greatest deviation from original anime image高=更加真实，肢体更合理，但距离动漫原图变化最多Based on this ABC information, feel free to experiment with different combinations. Choose the best setup according to your input anime image!根据ABC这些信息，你可以自由搭配实验一下，根据你输入的动漫图，来选择最佳的搭配吧！

Next-Gen AI for Stunning Illustrations — Now on Tensor.artIntroducing Illustrious XL 1.1, the latest evolution in anime-focused text-toimage AI. Building on the foundation of Illustrious XL 0.1, this new version pushes the boundaries of fidelity, prompt understanding, and high-resolution output, making it a must-have for artists, illustrators, and animation creators.🔹 Resolution & More Detail — Generate breathtaking 1536 x 1536 images with refined aesthetic quality🔹 Smarter Prompt Interpretation — Optimized for natural language prompts, delivering more intuitive resultsRecommended Settings for Best Results💡 Negative Prompts: “blurry,” “worst quality,” “bad quality,” “bad hands”🛠️ Sampling Settings: Steps: 28 | CFG Scale: 5.5-7.5 | Sampler: Euler🏋️ Training: Try lokr when training, achieving better results than Lora 🤫To showcase the advancements of Illustrious XL 1.0, we’ve put it to the test across key performance areas. Below is a direct comparison of image outputs across different versions, demonstrating improvements in natural language comprehension, high-resolution rendering, vivid color expression, and detail fidelity.1. Natural Language Understanding📌 Improvement: Better prompt adherence and character accuracy.🔍 Comparison:• Illustrious XL 0.1: Struggled with maintaining a consistent character fidelity.• Illustrious XL 1.0: Improved coherence between prompt and image, with better facial expressions• Illustrious XL 1.1: Further refined accuracy, reducing artifacts and enhancing overall expressiveness.📝 Prompt Used:"A vibrant anime-style illustration of a young woman with golden blonde hair, striking orange eyes, and a cheerful expression. She's dressed in a unique outfit that blends sporty and whimsical elements: an orange jacket over a teal and white striped shirt, a blue neckerchief, and a distinctive white cap with orange accents. She's set against a dark green background with streaks of teal, creating a dynamic and eye-catching composition. The style is bold, energetic, and suggestive of a character from a video game or animation., masterpiece, best quality, very aesthetic, absurdres, vivid colors2. High-Resolution Precision📌 Improvement: Increased resolution to 1536 x 1536, maintaining clarity at larger sizes.🔍 Comparison:• Illustrious XL 0.1: Noticeable blurring and loss of detail in high-resolution images.Illustrious XL 1.0: Clearer textures, sharper lines, and more defined elements.• Illustrious XL 1.1: More robust structure📝 Prompt Used:"This masterpiece artwork, in a stylish and extremely aesthetic style evocative of artists like hyatsu,shule_de_yu, lococo:p, huke, potg_\(piotegu\), z3zz4, and moruki, showcases a tsundere solo 1girl, makise kurisu, standing at night under an iridescent sky filled with clouds and forget-me-not flowers, rendered in absurdres detail with a colorful yet partially black and white and abstract composition.”3. Vivid Colors & Dynamic Lighting📌 Improvement: More vibrant hues, balanced contrast, and expressive compositions🔍 Comparison:• Illustrious XL 0.1: Muted tones and washed-out colors.• Illustrious XL 1.0: More vibrant color balance• Illustrious XL 1.1: Richer tones and better shadow handling?📝 Prompt Used:"1girl,hyatsu,shule_de_yu,lococo:p,makise kurisu,huke,tsundere,absurdres,potg_ (piotegu\),z3zz4,moruki,hyatsu,stylish,extremely aesthetic,abstract,colorful,night,sky,flower,cloud,iridescent,masterpiece,black and white, forget-menot.”4. Detail Refinement & Aesthetic Quality📌 Improvement: Sharper facial details, and expressive character design.🔍 Comparison:• Illustrious XL 0.1: Some inconsistencies in facial structure and hand rendering.• Illustrious XL 1.0: Significant improvements in eye detailing and shading.• Illustrious XL 1.1: Near-professional quality with refined expressions.📝 Prompt Used:"1boy,black hair,red eyes,horns,scars,white clothes,blood stains,arm tattoos,black and red tattoos,long gloves on left hand,red sash,warrior-like attire,cold expression,sharp expression”Get Started Today! The future of anime AI is here—be part of it with Illustrious XL 1.1 ✨

This is a Guide For⭐️⭐️PRO⭐️⭐️Anime Come True这是一篇⭐️⭐️PRO⭐️⭐️Anime Come True的使用指南Although the interface of Tensor is already quite user-friendly, it's still necessary to explain how to use model combinations to achieve the best results.First, I'll recommend two best combinations. For those who find the article too long, just looking at these two images should be sufficient:虽然tensor的界面已经很简单了，但还是需要为大家讲解一下模型组合的使用，从而达到一个最佳的效果。先推荐两个最佳组合，嫌弃文章太长的看这两张图就基本够用了：Below are the detailed explanations. Models are divided into two parts: checkpoint and lora. The checkpoint model mainly determines the initial "ethnicity" and "level of realism".Models with lower levels of realism need to be paired with high-level and realistic loras.下面就是具体的说明了，模型分为checkpoint和lora两部分checkpoint模型主要决定了最开始的【人种】和【写实程度】写实程度较低的模型需要搭配 high level 和 写实的loraPart One:Regarding the selection of second-generation models, as shown in the image below,The red box is suitable for Asian facial features, while the green box is more appropriate for Caucasian facial features.第一部分：关于second generation的模型选择，如下图所示，红色框适合亚洲人面孔，绿色框适合欧美人面孔Part Two:Regarding the Real level, it's generally recommended to use 'low' for a more accurate restoration of ACG images. If you notice a significant number of errors in the limbs, it suggests a conflict between the information provided by the ACG images and the realistic style. In such cases, you may opt for 'medium' or 'high'.第二部分：关于Real level，通常情况下用low，可以更好的还原ACG图片；如果发现肢体错误比较多，说明ACG图片提供的信息与写实风格有冲突，就可以选择medium或者highPart Three:Regarding the selection of the lora model,The red box is more suitable for realistic illustrations, while the green box is better suited for anime with a higher ACG content.第三部分：关于lora模型选择红色框适合比较写实的插画，绿色框适合ACG含量较高的animeExample:Anime with a high ACG content + Asian facial features.ACG含量较高的anime + 亚洲人Realistic illustration + Caucasian facial features.That concludes the basic tutorial. We wish you all a delightful experience!比较写实的插画+欧美人以上就是基本的教程，祝大家玩的愉快！

Hello everyone. In this article, I thought about the problems that have been bothering everyone recently.When posting images on TA, certain words and expressions are frequently judged as "NSFW" (Not Safe For Work), resulting in restrictions on posting. In this article, we would like to list words that may be judged as NSFW and share tips for creating safe content.※This information does not necessarily meet the requirements of the TA review system, but we hope it serves as a general guide.1. List of words that are likely to be judged as NSFWBelow is a list of words that are likely to be deemed inappropriate by the AI ​​image censorship system, categorized by category.1. Sexual wordsnude, naked, toplesserotic, sensual, provocativeseductive, alluring, Collarbonecleavage, breast(s), buttocks, barefootgenital(s), nipple(s), thonglingerie, fetish, submissivedominant, BDSM, bondagegagged, tied, teasingexplicit, hardcore, intercoursesuggestive, lustful, arousedrevealing, exposeddripping, wet (when used in a suggestive context)intimate, skimpy, boudoirsultry, suggestively posed2. Violent/extreme wordsblood, gore, woundinjury, bruise, scarmutilation, decapitationcorpse, death, murderkill, torture, executionmassacre, assassinationstrangled, suffocationburned, dismembered, stabbedcruelty, abuse, aggressor3. Discriminatory and insulting wordsracial slur(s), hate speechprejudice, discriminationxenophobia, sexistmisogyny, homophobia, transphobiabigot(ry), offensive, derogatoryslander, insult, humiliationsupremacist, ethnic cleansing4. Words that suggest children or agechild, minor, underageyoung girl, young boyteenager, preteen, lolitaloli, infant, babydoll-like, petite, small frameyouthful, juvenile, toddlerdaycare, playground, stroller5. Words related to clothing and appearancelingerie, bikini, swimsuitunderwear, thong, fishnetgarter, corset, crop topmini skirt, schoolgirl outfitnurse costume, maid costumebunny suit, leotard, stockingstorn clothing, see-throughtight clothes, oversized shirtprovocative dress, exposed midriffbodycon, low-cut, sheer fabric6. Words related to poses and gesturesbending, spreading, kneelinglying down, sprawled, tied uprestrained, blushing, shyembarrassed, seductive gazeprovocative pose, submissive posturehands tied, legs spreadarched back, seductive smilecrouching, reclining, sulkingover-the-shoulder glance7. Words that express emotions and moodsinnocent, naive, vulnerableplayful, teasing, seductiveshy, blushing, longingyearning, helpless, trappedflirty, inviting, temptingcoy, bashful, subdued8. Words related to the background or situationbedroom, bed, showerbathroom, locker roomdark alley, dimly lit roomsecluded area, private spacehot spring, beach sceneintimate setting, hotel roomsteam, candlelight, curtains drawn9. Words that suggest fetishismbarefoot, dirty feetchokers, collars, stockingsglasses (in some cases, implying fetishism)pigtails, kemonomimi (animal ears)tail (as a costume accessory)oversized plush toyslatex, leather, high heelscosplay, roleplay, fantasy wear10. Suggestive words and expressionswet, dripping, moistexposed, revealing, teasingenticing, inviting, irresistibletempting, glossy, shinysoft skin, smooth bodycurvy, voluptuous, buxomtoned, slim waist, long legssupple, sleek, shimmeringprovocative shadowing, glowing aura2. Tips to avoid riskHere are some ways to create clean and safe prompts while avoiding NSFW verdicts.1. Don't be too specificAvoid overly detailed physical features, revealing clothing, or provocative poses.2. Be clear about contextBy clearly indicating healthy themes and situations, you can reduce the risk of being interpreted as inappropriate.3. Choose neutral languageTry to avoid using overly emotional words when describing emotions, appearance, and clothing.4. Check the rules of machine learning toolsIt's important to follow the terms and conditions and guidelines of the platforms and tools you use - knowing the clear standards will help you minimize risk. (Unfortunately, TA does not provide a guide to inappropriate words)Even if the expression has the same meaning, the judgment will change depending on the choice of words and the context. For example, "bare shoulder" is not allowed, but "off shoulder" is OK, so if you are judged to be SNFW, please take another look at the prompt. There may be an unexpected word hidden there.3. Example: Creating an image of a girl in a swimsuitBelow is an example of a prompt that depicts a "girl in a swimsuit" that would be judged as NSFW. We will explain by comparing prompts that are likely to be judged as inappropriate with healthy prompts that are likely to avoid them.NG example: Prompts that are likely to be judged as NSFWA seductive young girl in a tight bikini, posing provocatively on the beach, with a wet and glossy skin effect, emphasizing her curves and cleavage.Reason:"Seductive" and "provocatively" suggest a provocative atmosphere."Tight bikini" and "wet and glossy skin effect" are overly sensual."Emphasizing her curves and cleavage" emphasizes her physical features too much.It has been determined to be NSFW. (Verified)OK example: Healthy promptA person wearing a simple swimsuit, solo, enjoying a sunny day at the beach, standing near the water with a relaxed and happy demeanor, surrounded by a clear blue sky and gentle ocean waves.Key points:"Simple swimsuit": Use simple, neutral words to describe the swimsuit.Describing "a person" without specifying gender: Emphasizing a neutral impression."relaxed and happy demeanor": Maintains a natural and healthy atmosphere.Describe background elements in detail: Add descriptions of the sea and sky to break up the overall focus.I was able to avoid the NSFW judgement. (Verified)4. ConclusionUnderstanding words and expressions that are judged as NSFW and creating safe prompts is important not only to increase your credibility as a creator, but also to ensure that your work is widely accepted. The list and examples introduced in this article are just a few examples. Let's aim for healthy and effective expressions.

🎉旧正月: 蛇の夜会🎉2025 年 1 月 29 日の旧正月が近づいてきました。私たちはこれを発表できることをうれしく思っています。スネークの夜会クリエイティブコンテスト”！ 🌟 蛇の新年🌟蛇年は知恵、狡猾さ、内省を象徴します。 2025 年はチャンスと挑戦に満ちた年であり、創造性と祝賀に最適な時期となります。 🎊 蛇年の祝賀会の始まりです。あなたの想像力を見せてください! 🎊⏰ イベント期間1月1日～1月20日 (UTC)イベント終了後、2 日間かけて評価し、1 月 23 日に受賞者を正式に発表します。 🌟スネークソワレ　画像・動画とAIツール巳年の夜会は 2 つのセッションに分かれています。 特別な夜会 そして AIツール特別な夜会。  楽しんでください！😝🖼️ 投稿 夜会: スネークとテンテンタスク： お久しぶりです！皆さん覚えていますか、テンテン！  TensorArt のマスコット?蛇年を祝いに来ました！ 🌟組み合わせてください テンテン と 蛇の要素 　作品に！ 🌟TensorArt に投稿してくださいガイドラインは存在しないでしょう。あなたの創造力を輝かせて、テンテンとヘビの要素を完璧に融合させましょう!タグ snakeyear 投稿するとき！ 受賞者と賞品:ベストクリエイティビティ賞: 3 日間プロ + 200 クレジット (10 名)ベストエステティック賞: 3 日間プロ + 200 クレジット (10 名)参加賞：画像投稿：50クレジット動画投稿：100クレジット  (画像・動画の特典は同時に獲得出来ます。アカウントごとに最大 150 クレジットが獲得できます)🎨 AI ツール夜会: デザインスネークタスク： 小さなヘビをデザインの世界に「滑り込ませて」みましょう。 🌟AI ツールを作成しよう デザイン フィールド🌟蛇の要素 または蛇のイメージ、デザイン要素を含めて下さい。たとえば、ポスター デザイン、ファッション デザイン、芸術的なタイポグラフィ デザイン、ヘビ要素を含む AI ツールなど…。AI ツールは最大 3 つのパラメーター設定を公開でき、デザイン関連である必要があります。そうでない場合は報酬の対象になりません。タグ snakeyear アップロードするとき！ 受賞者と賞品:ベストクリエイティビティ賞: $29.9 (3名様)ベストエステティック賞: $29.9 (3名様)参加賞：200クレジット📝 ルール投稿と AI ツールは、対応するテーマと要件に適合する必要があります。そうしないと報酬を獲得できません。タグ付け #snakeyear イベントへの参加とみなされます。タグを使用しないと、報酬を受け取る資格が失われます。現金報酬はイベント終了時に GPU 基金に入金され、いつでも引き出す​​ことができます。勝者は TensorArt 公式チームによって決定されます。システムデフォルトのアバターとニックネームを持つユーザーは報酬を受け取りません。イベントの内容はコミュニティのルールに準拠する必要があります。 NSFW、児童ポルノ、有名人の画像、暴力、低品質のコンテンツは対象外です。イベントの最終的な解釈は TensorArt に属します