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The power of storytelling has always been one of the most fundamental elements of human culture, connecting people through inspiring, captivating, and mesmerizing tales. Now, artificial intelligence (AI) technology is opening new doors for creators to bring their fictional worlds to life visually. With AI tools for generating images, such as DALL·E, Stable Diffusion, and MidJourney, artists and writers can create complex fictional universes using only textual descriptions. This article explores how AI tools can support storytelling in innovative and unique ways.Why is Visualization Important in Storytelling?Visualization adds depth to storytelling. In fiction, the worlds built through words can often be difficult to imagine in detail. AI tools solve this challenge by:Bringing Abstract Concepts to Life: With simple descriptions, AI can create complex images, such as “a city at the edge of the galaxy with crystal-based architecture.”Ensuring Visual Consistency: AI can produce a series of images following a specific theme or style, maintaining coherence throughout the narrative.Accelerating the Creative Process: Without requiring technical drawing skills, writers can focus on their imagination without being limited by artistic ability.Using Custom Parameters for More Accurate ResultsOne of the most powerful features of AI tools is their ability to customize parameters to achieve results that align with the creator's vision. Here are some steps to make the most of custom parameters in storytelling:Define Style and AtmosphereBefore starting, think about the mood of your fictional world. Is it a dark dystopia? Or perhaps a vibrant utopia? Use parameters such as:Lighting: “Dimly lit with neon hues.”Texture: “Smooth and futuristic vs. rugged and natural.”Use Negative Prompts to Avoid Unwanted DetailsIf you want specific results, negative prompts help eliminate distracting elements. For example, for a futuristic city without trees, use:Prompt: “A futuristic city skyline, no vegetation, no natural elements.”Outpainting for Expansive WorldsIf your story requires a large and interconnected world, use the outpainting feature to expand images, creating seemingly endless landscapes.Reference Base ImagesFor continuity, use a base image as a reference. AI will generate variations based on the image, ensuring your world feels cohesive.Case Study: Visualizing a Fictional World with AI ToolsImagine a writer creating a story titled "The Shattered Realms," set in a parallel world blending magic and technology. Here’s how to visualize it using AI:Sky and Landscape:Prompt description: “A fractured sky with glowing magical rifts, over a city built on floating islands with gears and steam-powered towers.”Characters:Prompt: “A mage with glowing blue tattoos, holding a staff of crystal shards, standing in a windswept meadow of neon flowers.”Action:Prompt: “A battle scene between two armies, one wielding swords of fire, the other armed with glowing shields powered by ancient tech.”Advantages and ChallengesAdvantages:Flexibility: AI allows easy exploration of various styles and concepts.Accessibility: High-quality visuals can be created without professional art skills.Multidisciplinary Collaboration: AI tools enable collaboration between writers, artists, and designers.Challenges:Detail Consistency: AI sometimes generates inconsistent elements between images.Understanding Context: AI is still limited in comprehending complex contexts, requiring manual adjustments.ConclusionAI tools for generating images not only support storytelling but also redefine creative boundaries. By leveraging custom parameters, creators can visually bring their fictional worlds to life, offering a more immersive experience for readers or audiences. These tools are not just instruments but collaborative partners in crafting extraordinary stories.If you’re a writer, artist, or creator, why not give these tools a try and see how far your imagination can go? Your fictional world is waiting to come to life!

Intro Hey there! If you're reading this, you're probably new to AI image generation and want to learn more. If you're not, you probably already know more than me :). Yeah, full disclosure: I'm still pretty inexperienced at this whole thing, but I thought I could still share some of the things I've learned with you! So, in no particular order:1. You can like your own posts I doubt there's anyone who doesn't know this already, but if you're posting your favorite generations and you care about getting likes, you can always like them yourself. Sketchy? Kinda. Do I still do it? Yes. And on the topic of getting more likes:2. Likes will often be returned Whenever I receive a like on one of my posts, I'll look at that person's pictures and heart any that I particularly enjoy. I know a lot of people do this, so one of the best ways to get people to notice and like your content is to just browse through posts and be generous with your own likes. It's a great way to get inspiration too!3. Use turbo/lightning LORAs If you find yourself running out of credits, there are ways to conserve them. When I'm iterating on an idea, I'll use a SDXL model (Meina XL) paired with this LORA. This lets me get high quality images in 10 steps for only 0.4 credits! It's really nice, and works with any SDXL model. Unfortunately, if there is a similar method for speeding up SD 1.5 models I don't know it, so it only works with XL.4. Use ADetailer smartly ADetailer is the best solution I've found for improving faces and hands. It's also a little difficult to figure out. So, though I'm still not a professional with it, I thought I could share some of the tricks I've learned. The models I normally use are face_yolo8s.pt and hand_yolo8s.pt. The "8s" versions are better than the "8n" versions, though they are slightly slower. In addition to these models, I'll often add the Attractive Eyes and Perfect Hand LORAs respectively. These are all just little things you can do to improve these notoriously hard parts of image generation. Also, using ADetailer before upscaling the image is cheaper in terms of credits, though the upscaling process can sometimes mess up the hands and face a little bit so there's some give and take there.5. Use an image editing app Wait a minute, I hear you saying, isn't this a guide for using Tensor Art? Yes, but you can still use other tools to improve your images. If I don't like a specific part of my image, I'll download it, open it in Krita (Or Photoshop or Gimp) and work on it. My art skills are pretty bad, (which is why I'm using this site in the first place,) but I can still remove, recolor, or edit certain aspects of the image. I can then reupload it to Tensor Art, and Img2img with a high denoising strength to improve it further. You could also just try inpainting the specific thing you want to change, but I always find it a bit of a struggle to get inpaint to make the changes I want.6. Experiment! The best way to learn is to do, so just start generating images, fiddling with settings, and trying new things. I still feel like I'm learning new stuff every day, and this technology is improving so fast that I don't think anyone will ever truly master it. But we can still try our hardest and hone our skills through experimentation, sharing knowledge, and getting more familiar with these models. And all the anime girls are a big plus too.Outro If you have anything to add, or even a tip you'd like to share, definitely leave a comment and maybe I can add it to this article. This list is obviously not exhaustive, and I'm no where near as talented as some of the people on this platform. Still though, I hope to have helped at least one person today. If that was you, maybe give the article a like? I appreciate it a ton, so if you enjoyed, just let me know. Thanks for reading!

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 everyone. Today, I would like to introduce a feature of tensor.art that is often overlooked.[Enhanced Prompt] Have you heard of it?It's a feature that is a little inconspicuous on the image generation screen that you usually use, but it's very useful.1. What is this feature?The Prompt reinforcement automatically generates multiple prompts that are enhanced and reconstructed by AI using the words of the prompt you entered. This makes the original prompt richer and more diverse, and increases the variety of images generated.2. How to use:It's very easy!Enter the prompt: First, enter the prompt for the image you want to generate as you normally would.Click the prompt extension button: Click the "Enhance Prompt " button at the bottom right of the prompt input field.It's a feature that is a little inconspicuous on the image generation screen that you usually use, but it's very useful.3. Check the suggested prompts:The AI ​​automatically analyzes the prompt you entered and suggests multiple enhanced prompts.Several restructured and enhanced prompts appear.All you have to do is choose the prompt of your choice.Choose the prompt of your choice and click the Select button.It will be automatically filled in the prompt field.Then, generate as usual! !4. UtilizationBroaden your ideas: Using the prompt extension allows you to discover new expressions and ideas that you never thought of.Improve the quality of your projects: Using more sophisticated prompts can improve the quality of the images generated.Breaking down creative barriers: When you're stuck for ideas, this feature can help you find new inspiration.5. Actual effectsBy using the prompt extension, you can achieve the following effects:Generate more diverse images: Increase the variety of images generated from the original prompt.Improved accuracy: With more specific and detailed prompts, you can easily generate images that are closer to your expectations.Save time: You can avoid the trouble of manually trying out prompts.*Summary*As you can see, the tensor.art Enhance Prompt is a powerful tool that can further stimulate your creativity and streamline the image generation process. Give it a try and see the effects for yourself!!!

🎨 Guide to Using Regional PromptThis tool lets you generate images with precise control over different regions using colored masks. Don’t worry — it’s simpler than it looks. Follow these steps and you’ll be making awesome images in no time.Regional Prompt AI Tool🔹 Step 1 – Choose a CheckpointWhen you open the tool, the first thing to do is select a checkpoint (model).- Only stable, widely used checkpoints are available.- Pick the one you like — this defines the overall style and quality.🔹 Step 2 – Select Resolution / Aspect RatioNext, choose the image size.- Common options: `1:1 square`, `16:9 widescreen`, etc.🔹 Step 3 – Load an Image with Colored RegionsThis is the special part of the tool!1. Prepare an image with solid colored regions using software like Paint, Photoshop, or GIMP.2. Use these exact RGB values:- Red (255,0,0)- Green (0,255,0)- Blue (0,0,255)3. Each color corresponds to a different region of your prompt.4. Make sure the image you upload has the same aspect ratio as the chosen ratio above in step 2.5. An example image is included in the tool — check it if you’re unsure.👉 Tip: You don’t need to use all three regions. If you skip one (e.g. no green), set its strength to Low so it doesn’t affect the result.Example Images🔹 Step 4 – Set Strengths & Prompts for Each RegionFor each region (Red, Green, Blue), you’ll see:- Strength → Low / Medium / High- Low = off (region ignored).- Medium = good for backgrounds.- High = good for characters or key objects.- Prompt → Describe what you want in that region.⚠️ Important rules for prompts:- The background (usually Green) should describe the scene (e.g., `bedroom, desk, morning light, 2girls`).- Each character region should also include the same total count.- Example: If your scene has 2 girls, then both Red and Blue regions should use `2girls` in their prompts.🔹 Step 5 – Adjust Steps (Quality vs Credits)Finally, choose how many sampling steps to run:- Low (30 steps) → ~4 credits, faster, less strict prompts.- Medium (45 steps) → balanced, good quality.- High (60 steps) → ~10 credits, best quality, very prompt-accurate.🔹 Step 6 – Generate Your Image1. Review all settings.2. Hit Generate.3. Wait a few moments — your image will appear in the results gallery.✅ Quick ExampleSay you want:- A bedroom background.- A girl with brown hair on the bed.- Another girl with blonde hair standing beside her.You would set:- Green Region (Medium Strength) → `bedroom, bed, pillow, 2girls`- Red Region (High Strength) → `2girls, brown_hair, lingerie`- Blue Region (High Strength) → `2girls, blonde_hair, standing`- Steps → Medium (45)- Checkpoint → Pick your favoriteClick Generate → and the tool builds the scene with both characters and the background where you want them.🔹 Tips for Best Results- Keep region prompts short and tag-like (not long sentences).- Always include total character count consistently across regions.- For background, include location + setting details.- If something looks off, try switching strengths (e.g., Medium → High).- Use Low steps to preview cheaply, then switch to High for final renders.

Hello! This is my first article; I hope it will be of benefit to the person who reads it. I still have limited knowledge about WorkFlow; but I have researched and learned little by little. If anyone would like to contribute some content; you are totally free to do so. Thank you.I made this article to give a brief and basic explanation about basic concepts about Comfyui or WorkFlow. This is a technology with many possibilities and it would be great to make it easier to use for everyone! What is Workflow?Workflow is one of the two main image generation systems that Tensor Art has at the moment. It corresponds to a generation method that is characterized by a great capacity to stimulate the creativity of the users; also, it allows us to access to some Pro features being Free users.How do I access the WorkFlow mode?To access the WorkFlow mode, you must place the mouse cursor on the “Create” tab as if you were going to create an image by conventional means. Once you have done that; click on the “ComfyFlow” option and you are done.After that, you will see a tab with two options “New WorkFlow” and “Import WorkFlow”. The first one allows you to start a workflow from a template or from scratch; while the second option allows you to load a workflow that you have saved on your pc in a JSON file.If you click on the “New WorkFlow” option, a tab with a list of various templates will be displayed (each template will have a different purpose). But the main one will be “Text2Image”; it will allow us to create images from text, similarly to the conventional method we always use. You can also create a workflow from scratch in the “Empty WorkFlow Template” option but for a better explanation of the basics we will use the “Text2Image”.Once you click on the "Text2Image" option, you must wait a few seconds and a new tab will be displayed with the template, which contains the basics to create an image by means of text. Nodes and Borders: ¿What are they and how do they work?Well, to understand the basics of how a WorkFlow works, it is necessary to have a clear understanding of what Nodes and Border are.Nodes are small boxes that are present in the workflow; each node will have a specific function necessary for the creation, enhancement or editing of the image or video. The basics of Text2Image are the CheckPoint loader, the Clip Text Encoders, the Empty Lantent Image, the Ksampler, the VAE decoder, and Save Image. It should be noted that there are hundreds of other nodes besides these basics and they all have many different functions.On the other hand, the “Borders” are the small colored wires that connect the different nodes. They are the ones that will set which nodes will be directly related. The Borders are ordered by colors that are generally related to a specific function.The purple is related to the Model or Lora used.The yellow one is intended for connection to the model or lora with the space to place the prompt.The red refers to VAE.The orange color refers to the connection between the spaces for placing the prompt and the “Ksampler” node.The fucsia color makes allusion to the latent, which will serve for many things; but for this case it serves to connect the “Empty Latent Image” node with the “Ksampler” node and establish the number and size of the images that will be generated.And the blue color is related to everything that has to do with images; it has many uses but this case is related to the “Save Image” node.What are the Text2Image template Nodes used for?Having this clear is of utmost relevance, since it allows you to know what each node of this basic template is for. It's like knowing what each piece in a lego set is for and understanding how they should be connected to create a beautiful masterpiece! Also, if you get to know what these nodes are for, it will be easier for you to intuit the functionality of its variants and other derived nodes.A) The first one is the node called “Load Chckpoint”, this node has three specific functions. The first one is to load the base model or checkpoint with which an image will be created. The second is the Clip, which will take care of connecting the positive and negative prompts that you write to the checkpoint. And the third is that it connects and helps to load the VAE model. B) The second one is the “Empty Latent Image”; which is the node in charge of processing the image dimensions from the latent space. It has two functions: First, set the width and length of the image; and second, set how many images will be generated simultaneously according to the “Batch Size” option.C) The third is the two “Clip Text Enconder” nodes: in this case there will always be at least two of these nodes, since they are responsible for setting both the positive and negative prompts that you write to describe the image you want. They are usually connected to the "Load Checkpoint" or any LoRa and are also connected to the “Ksampler” node.D) Then, there is a node “Ksampler”. This node is the central point of all WorkFlow; it is the one that sets the most important parameters in the creation of images. It has several functions: the first one is to determine which is the seed of the image and to regulate how much it changes from image to generated image by means of the “control_after_generate” option. The second function is to set how many steps are needed to create the image (you set them as you wish); the third function is to determine which sampling method is used and also what is the scheduler of this method (this helps to regulate how much space is eliminated when creating the image).E) The penultimate one is the VAE decoder. This node is in charge of assisting the processing of the image to be generated: its main function is to be responsible for materializing the written prompt into an image. That is to say, it reconstructs the description of the image we want as one of the final steps to finish the generation process. Then, the information is transmitted to the “Save Image” node to display the generated image as the final product.F) The last node to explain is the “Save Image”. This node has the simple function of saving the generated image and providing the user with a view of the final work that will later be stored in the taskbar where all the generated images are located.Final Consideration:This has been a small summary and explanation about very basic concepts about ComfyUI Mode; you could even say that it is like a small glossary about general terms. I have tried to give a small notion that tries to facilitate the understanding of this image generation tool. There is still a lot to explain, but I will try to cover all the topics; the information would not fit in a single article (ComfyUI is a whole universe of possibilities). ¡Thank you so much for taking the time to read this article!

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.

After organizing my extensive collection of workflows, I've curated a selection of architectural and interior design tools based on the TENSOR.ART platform's COMFYUI. These AI tools are categorized into five main areas: Ideation, Blending, Rendering, Replacement, and Refinement, supporting text generation, image processing, and style application.​1. Inspire ToolsHHM1 Buildings GeneratorModel: FLUXURL: https://tensor.art/template/766243383013343422Features: Text-to-image generation, supports LORA fine-tuningInput Support: Text, ImageHHM1 Buildings InspireModel: FLUXURL: https://tensor.art/template/763619243894976163Technology: LLM+REDUXFunction: Generate a series of works from a single architectural image, adjustable creativity and output quantityInput Support: Text, ImageHHM1 Interior InspireModel: FLUXURL: https://tensor.art/template/819005123509578461Technology: LLM+REDUXFunction: Generate a series of works from a single interior image, adjustable creativity and output quantityInput Support: Text, Image2. Blending ToolsHHM2 Redux Blender AModel: FLUXURL: https://tensor.art/template/803387651758646308Technology: REDUXFunction: Blend two image styles, adjustable output quantityInput Support: Text, ImageHHM2 Redux Blender BModel: FLUXURL: https://tensor.art/template/811814411953215358Technology: REDUXFunction: Blend three image styles, adjustable output quantity and mixing ratioInput Support: Text, ImageHHM2 OutpaintingModel: FLUX.fillURL: https://tensor.art/template/817005545650154988Technology: REDUX+OUTPAINTINGFunction: Expand or combine images in specific directionsInput Support: Image3. Rendering ToolsHHM3 XL Architectural Reference StyleModel: SDXLURL: https://tensor.art/template/837369694997539819Technology: CANNY+DEPTH+IPADAPTERFunction: Apply reference style to architectural drafts, adjustable output quantity, supports LORA fine-tuningInput Support: Text, ImageHHM3 XL Interior Reference StyleModel: SDXLURL: https://tensor.art/template/813278364440909932Technology: CANNY+DEPTH+IPADAPTERFunction: Apply reference style to interior drafts, adjustable output quantityInput Support: ImageHHM3 Depth+Redux (A)Model: FLUX.depthURL: https://tensor.art/template/804082994078817975Technology: REDUX+DEPTHFunction: Suitable for drafts with depth contours, adjustable draft and style weighting, output quantityInput Support: ImageHHM3 Canny+redux (B)Model: FLUX.cannyURL: https://tensor.art/template/803608005055733330Technology: REDUX+CANNYFunction: Suitable for drafts with segmentation details or line drafts, adjustable draft and style weighting, output quantityInput Support: Image4. Swap ToolsHHM4 SWAP Filled with TextModel: FLUX.fillURL: https://tensor.art/template/840097514626560963Technology: REDUXFunction: Text-to-image generation, replace objects in specified locationsInput Support: Text, ImageHHM4 SWAP RemoverModel: FLUX.fillURL: https://tensor.art/template/840038381516812196Technology: REDUXFunction: Remove objects from specified locationsInput Support: ImageHHM4 SWAP AnythingModel: FLUX.fillURL: https://tensor.art/template/833400891813122431Technology: REDUXFunction: Suitable for clear, single objects, extract sample objects and replace in specified image locationsInput Support: ImageHHM4 SWAP Anything AdvancedModel: FLUX.fillURL: https://tensor.art/template/833594826766190331Technology: REDUXFunction: Extract sample objects from specified locations and replace in image locationsInput Support: Image5. Refinement ToolsHHM5 Supir UpscaleModel: SDXLURL: https://tensor.art/template/802244580572603866Technology: LLM+Supir upscaleFunction: Universal high-definition enlargement, adjustable output sizeInput Support: ImageHHM5 SD1.5+FLUX DetailerModel: SD1.5+FLUXURL: https://tensor.art/template/761261663331679663Technology: SD1.5 CN Tiles+FLUXFunction: Universal high-definition enlargement, adjustable output quantity, noise reduction for detail enhancementInput Support: ImageHHM5 Ultimate SD Upscale (Architectural)Model: SD1.5URL: https://tensor.art/template/779013196957645258Technology: LLM+Ultimate SD upscaleFunction: Architectural high-definition enlargement, adjustable output size and quantity, noise reduction for detail enhancementInput Support: ImageHHM5 Ultimate SD Upscale (Interior)Model: SD1.5URL: https://tensor.art/template/778860085668597459Technology: LLM+Ultimate SD upscaleFunction: Interior high-definition enlargement, adjustable output size and quantity, noise reduction for detail enhancementInput Support: Text, ImageThese tools are designed for architectural and interior design applications, assisting in concept development, blending, visualization, element replacement, and image refinement. They provide robust support for both conceptualization and post-processing stages.1. 發想類工具HHM1 Buildings Generator (建築文生圖)模型：FLUX網址：https://tensor.art/template/766243383013343422特點：文字生圖，可套LORA微調模型支持：文字、圖片輸入HHM1 Buildings Inspire (建築發想器)模型：FLUX網址：https://tensor.art/template/763619243894976163技術：LLM+REDUX功能：由一張建築圖片發想一系列作品，可調整創意程度和輸出張數支持：文字、圖片輸入HHM1 Interior Inspire (室設發想器)模型：FLUX網址：https://tensor.art/template/819005123509578461技術：LLM+REDUX功能：由一張室內圖片發想一系列作品，可調整創意程度和輸出張數支持：文字、圖片輸入2. 混合類工具HHM2 Redux Blender A (混合器A)模型：FLUX網址：https://tensor.art/template/803387651758646308技術：REDUX功能：兩種圖片風格混合，可調整輸出張數支持：文字、圖片輸入HHM2 Redux Blender B (混合器B)模型：FLUX網址：https://tensor.art/template/811814411953215358技術：REDUX功能：三種圖片風格混合，可調整輸出張數和混合比例支持：文字、圖片輸入HHM2 Outpainting (通用擴圖)模型：FLUX.fill網址：https://tensor.art/template/817005545650154988技術：REDUX+OUTPAINTING功能：往特定方向擴圖或併圖支持：圖片輸入3. 渲染類工具HHM3 XL 建築參考風格模型：SDXL網址：https://tensor.art/template/837369694997539819技術：CANNY+DEPTH+IPADAPTER功能：建築草模套參考風格，可調整輸出張數，支持LORA微調支持：文字、圖片輸入HHM3 XL 室內參考風格模型：SDXL網址：https://tensor.art/template/813278364440909932技術：CANNY+DEPTH+IPADAPTER功能：室內草模套參考風格，可調整輸出張數支持：圖片輸入HHM3 Depth+Redux (草模套風格A)模型：FLUX.depth網址：https://tensor.art/template/804082994078817975技術：REDUX+DEPTH功能：適合有景深輪廓的草模套參考風格，可調整草模及風格權重和輸出張數支持：圖片輸入HHM3 Canny+redux (草模套風格B)模型：FLUX.canny網址：https://tensor.art/template/803608005055733330技術：REDUX+CANNY功能：適合有分割細節或線稿的草模套參考風格，可調整草模及風格權重和輸出張數支持：圖片輸入4. 置換類工具HHM4 SWAP Filled with text (文字萬物填充)模型：FLUX.fill網址：https://tensor.art/template/840097514626560963技術：REDUX功能：文字生圖，置換指定位置內的物件支持：文字、圖片輸入HHM4 SWAP Remover (萬物移除)模型：FLUX.fill網址：https://tensor.art/template/840038381516812196技術：REDUX功能：清除指定位置內的物件支持：圖片輸入HHM4 SWAP anything (萬物置換)模型：FLUX.fill網址：https://tensor.art/template/833400891813122431技術：REDUX功能：適用於明確且單一的物件，提取樣本物件置換於圖像指定位置支持：圖片輸入HHM4 SWAP anything advanced (高級萬物置換)模型：FLUX.fill網址：https://tensor.art/template/833594826766190331技術：REDUX功能：提取指定位置的樣本物件，置換於圖像指定位置支持：圖片輸入5. 精修類工具HHM5 Supir upscale (通用精修)模型：SDXL網址：https://tensor.art/template/802244580572603866技術：LLM+Supir upscale功能：通用型高清放大，可調整輸出尺寸支持：圖片輸入HHM5 SD1.5+FLUX detailer (通用精修)模型：SD1.5+FLUX網址：https://tensor.art/template/761261663331679663技術：SD1.5 CN Tiles+FLUX功能：通用型高清放大，可設定輸出張數，可調整去噪程度補充細節支持：圖片輸入HHM5 Ultimate SD Upscale (建築稿精修B)模型：SD1.5網址：https://tensor.art/template/779013196957645258技術：LLM+Ultimate SD upscale功能：建築高清放大，可調整輸出尺寸和張數，可調整去噪程度補充細節支持：圖片輸入HHM5 Ultimate SD Upscale (室內稿精修B)模型：SD1.5網址：https://tensor.art/template/778860085668597459技術：LLM+Ultimate SD upscale功能：室內高清放大，可調整輸出尺寸和張數，可調整去噪程度補充細節支持：文字、圖片輸入

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.

　IntroductionHello everyone. In this article, we will explain the basic mechanism for creating AI tools with "Tensor Art". We will introduce the particularly important meanings of "workflow" and "node", how to set them up, and procedures.　What is an AI tool?AI Tools is a node-based tool for visually designing AI image generation. It consists of a processing flow (workflow) that combines nodes (like pieces of a puzzle) to generate an image.Main features of workflowIntuitive operability: simply place and connect nodes with drag and drop.Flexible configuration: Fully customize models (checkpoints), LoRA, prompts, and more.Real-time generation: You can start image generation immediately after setting.It is important to understand first!　What is a node?A node is a "small unit responsible for one process" in image generation. For example, there are nodes such as "Load Checkpoint" that loads an AI model and "CLIP Text Encode" that analyzes prompts.　Basic configuration of a node:Input: Materials that start processing (e.g. prompt or model).Output: Passes the results of processing to the next node.In an analogy, nodes are like the "parts" of a pipeline. Connecting these together creates the overall flow.　What is a workflow?A workflow is a series of image generation flows designed by connecting multiple nodes.For example, create the following flow:Load an AI model (Load Checkpoint)Analyze the prompt (Prompt Encode)Generate an image (Sampler)Save the image (Save Node)Visually constructing these flows enables image generation in Tensor Art.Image Generation Workflow in Tensor Art: Basic Configuration and StepsBelow, we will explain the basic workflow and the role of each node in detail.　Overview of the Basic Workflow　The basic configuration for image generation in Tensor Art is as follows:Load Checkpoint (AI model): Select the base generative model.→ Node name: Load CheckpointEncode prompt (generation instruction): Specify the direction of image generation.→ Node name: CLIP Text EncodeApply LoRA model (optional): Add style and features.→ Node name: Load LoRAImage generation process: Generate image based on prompt and model.→ Node name: KSamplerVAE decode: Adjust generated image to make it human-readable.→ Node name: VAE DecodeSave image: Save generated image to file.→ Node name: Save ImageDetailed explanation and setting method for each node　　　　　　　　　🌸⬇️Let's use a workflow using FLUX as an example. ⬇️🌸1. Load CheckpointRole: Loads the model that is the basis of AI image generation.Settings: ckpt_name: Specify the model name you want to use.Example: FLUX-1-dev-fp8 (recommended checkpoint for TensorArt).2. Load LoRA (Add style)Role: Apply LoRA model that adds specific features and style.Settings: lora_name: Enter the name of the LoRA model you want to use.strength_model and strength_clip: Model influence (1.0 recommended).3. CLIP Text EncodeRole: Converts the content of the image to be generated (prompt) into a format that AI can understand.Settings:Example prompt: "futuristic cityscape, neon lights, digital painting".4. KSampler (Central process of image generation)Role: Generates the actual image based on the prompt and model.Settings:steps: Accuracy of generation (approximately 20-30).cfg: Applicability of the prompt (usually 1.0).sampler_name: Sampling method (e.g. Euler).5. VAE DecodeRole: Converts the generated latent image into the final image data.Note: Select a VAE that corresponds to the checkpoint.6. Save ImageRole: Saves the generated image as a file.Settings:filename_prefix: Specifies the beginning of the image name (e.g. "TensorArt_").Example of actual workflow: Node connectionBelow is an example of an actual node connection. Image generation is possible by reproducing this flow in the Tensor Art node editor.Load Checkpoint → Load the AI ​​model.Add Load LoRA if necessary and apply styles.Enter prompts into CLIP Text Encode and set the generation content.Use FluxGuidance (adjust guidance scale) to fine-tune the influence of the prompt.Generate an image with KSampler.Adjust the image through VAE Decode.Finally, save the image with Save Image.　Frequently Asked QuestionsQ1. What is the difference between Checkpoint and LoRA?Checkpoint: A model that is the basis of AI image generation. It determines the overall style.LoRA: A module for adding specific additional styles and fine features.Q2. Is VAE required?Basically used in conjunction with Checkpoint. Without VAE, the color and resolution of the image may not be displayed properly.　SummaryOnce you understand how nodes and workflows work, you can create your own images just the way you want them. Use this guide to get started with a simple setup! 😆👍　　　　　　　　　　　⬆️This is an image generated using the workflow introduced this time 😊　Next stepsTry your own prompts and settings.Combine multiple LoRAs to pursue originality.Experiment with high resolution and special styles.By publishing the completed workflow, you can have many people use it as your AI tool 👍Enjoy your creative adventure with Tensor Art!　Side note: Tips for beginnersUnderstand the basics of nodes: First, understand what each node does.Start with a simple workflow: Try a workflow with a minimum number of nodes to help you understand how it works.Repeat the experiment: Adjust the parameters of each node and see how the generated image changes.

Hello everyone! ✨ Today I will bring you a super practical tutorial: How to set up a convenient prompt word radio version for your AI Tools! 😎 Save it quickly, and you will never have to worry about how to set prompt words again! 👌Are you ready for the course? Let's get started! 🔍First, the first step is to open the official website of TensorArt. 📂 After opening, you will see a variety of AI tools and resources, which are very rich~ 👀Next, open comfyflow and start making our AI Tool! 🤖 This process is simple and fun, let's explore it together! ✨In comfyflow, we click the "New" button, which will take you to a new interface~ 🖱️💻In this interface, we can start creating our own workflow~ 🌟🎉 Next, we need to fill in the positive prompt words, which is a super critical step! 📝✨In the positive prompt word area, we need to enter the content we want. 📋 Here, the editor simply wrote an example for everyone: "a man". 🤵 This example is just for the convenience of teaching, you can freely play according to your needs~ 🌈🎆🎉 When you have completed the workflow, you can click the "Publish" button in the upper right corner! 🚀✨Don't forget to give your AI Tool an interesting name! 💡 This name will make your tool more attractive~✨ In addition, remember to divide the area correctly, so that you can see it clearly and it is also convenient for your friends to find and use it! 📂🔍🌟 Next, let's complete the next step together! 💪We pull down the current interface and find the user-configurable settings area. 👏 Then click the "Add" button. This step is very critical! 🖱️✨ Everyone must remember to add your positive prompt word node! 🔍✨After adding the node, our next step is to click the "Set" button on the right to proceed to the next step. 🔧✨ This step is crucial! Don't miss it! 😉🚀✨ The next step is also very important! 😊First, click the radio button, then click "Add". 🔘✨ Here, you can add the buttons you want to release to the user! 👍 After selecting, be sure to click "Confirm"! ✔️✨Friends, we have finally reached the last step! 🎉💪 This is an exciting moment! ✨When you have completed all the operations, remember to click the "Publish" button to publish your AI gadget! 🚀✨ Can't wait to see the results? Hurry up and generate a picture yourself to try and experience your results! 🌟🖼️Well, that's all for today's tutorial! 😊 I hope everyone can complete it successfully and create their own AI gadgets! 👏 If you have any questions, don't hesitate to leave a comment in the comment section at any time! ❤️

Hello and welcome to the third edition of REYApping, a space where I write a bunch of nonsense. Without further ado, let's begin.Never in my entire Tensor life would I actually try to explain something. But here we are, an article about AI tool. What is AI Tool? Why make an AI Tool? How is it different from the "create mode"? I'll try to explain them.What is AI Tool?Now, I might be wrong here (roast me in the comment) but here's my answer: AI tool is a simplified, more straightforward interface of a comfyui workflow. It saves you from seeing bunch of tangled spaghetti that can potentially break your eyes and mind. Instead of customizing directly on the workflow nodes, you get a similar interface as the "create mode". The downside is that it can have limited parameter since those are set by the tool's creator, and you won't know how the workflow works. Also it suck your credits and soul (Riiwa, 2024), but sadly doesn't suck your coc- *cough* Nevermind that last part.Here's an image of comfyui workflow:Here's when that workflow is made into an AI Tool:Why Make an AI Tool?Simplicity and straightforwardness in the palm(?) of your hand. That's it. Especially if your flow has a few variables that can be modified such as prompts, steps, etc.. If your flow has a lot of modifiable variables and/or you want more control over your workflow, then I suggest you do that directly in the comfyui.How is It Different from Creation Mode?Creation mode allows you to control basic functions such as samplers, which T5 would you use, and other thing like ADetailer, img2img, controlnet, etc.. AI Tool, while it can do that if set by the author, it's generally limited to basic things only such as prompts, steps, resolution, batch size, and maybe seeds. But you can't really use things like ADetailer or img2img and other fancy stuff by yourself and you really depends on what is provided by the tool itself. In short: Creation Mode allows broader range of functions but with only basic abilities while AI Tool mostly allows specific functions, but can have better result because of the dark magic trickery inside its comfy flow.Thank you for reading this part of REYApping. See you in the next one (if there's any).

Hello 🙂 Today, I will explain the "export" and "import" settings when publishing an AI tool,which has been introduced several times on the site.To publish an AI tool, roughly speaking,1) Create a workflow based on the concept of the AI ​​tool you want to make2) Configure, adjust, and test the workflow3) Test as an AI tool, and publishI think you will create and publish in the above order, butAfter you are satisfied with part 2), when you turn it into a tool and test it in part 3), you may see a "defect" or "finishing discrepancy" that you could not see in workflow mode.In this case, you should configure and adjust the "workflow that is the basis of the tool" again, then "update the workflow" on the "edit" mode screen of the AI ​​tool, reflecting the changes in the AI ​​tool settings, and then publish it again. This is the flow.When you perform this "workflow update", the information displayed on the AI tool operation screen will change.“User-configurable Settings” will be “reset”! What you have gone through a lot of trouble configuring, sorting, etc., is now starting from scratch.I can't help but sigh at having to start over 😮 Corresponding to this resetThe method is " Export/Import settings ''.With this function, even if you need to repeatedly update your workflow, you can easily return to the "User-configurable Settings" settings you used when you first created the tool, so you can avoid unnecessary work.Here's how to do it:● Export (save settings before workflow update)1) Open the "Edit" mode screen of the AI ​​tool and scroll down to find "User-configurable Settings". To the right of it there are three buttons: "Import", "Export", and "Empty". Click "Export".2) Then, if you are using a PC, a dialog box will appear asking you to confirm the “file save destination”.Save it in an easy-to-find location so you don't get lost later.At this time, it is even more convenient to give the file a "file name" that is easy to identify.(This procedure applies to smartphones, tablets, etc.)This is the end of "Export".◆ Import (Load previous settings after updating workflow)1) Go to "User-configurable Settings"in the same way as when exporting and click "Import".2) A dialog box will appear asking you which file to import,so specify the file you "saved" (exported) earlier and click "OK".(For smartphones, tablets, etc., follow these guidelines)This will restore the "settings" that were reset by "update workflow".You should see that it is.The above is how to "Export" and "Import" "User - configurable Settings", but there is one thing to keep in mind.That is, if you "change the node type" or "add a new node or delete a node" when updating the workflow,"Export" and "Import" will not work. Please note that these are functions to save and restore the "initial settings made into a tool".I think there are many similar articles on the site, but this time's "Christmas Walkthrough"I hope this will be helpful for those who are trying to create an AI tool for the first time at the event 🙂

As promised, today I will show you how to use controlnet_depth to create the pose you want with 100% accurate.In my previous article, we mentioned open_pose but in terms of accuracy, they are still not really perfect.Hands and fingers problems are always happen when using Stable Diffusion, so this control_net will solve these kind of problems.The way control_net depth works is very simple, they will analyze the 3D surface of the object from the image you gave, and then render the image from that 3D surface.1/ First, click here2/ Select control_net depth3/ Select the working mode for controlnet depth, here I will choose the working mode zoe instead of midas because the accuracy of zoe is much higher than midas4/ Upload your reference image via this option5/ Adjust the weight of control_net depth, recommend 0.5~0.7 for best results without losing much details6/ And tadaaaa UwUTry again with another pictureAnd the resultHope you enjoy my post, subscribe or support me for more quality content next time (乃^o^)乃

Let me start by saying that to create an "AI Tool" you first need to make a working "workflow". It is not for nothing that the first task of the second week, the "Christmas Walkthrough" event, is to create your own "workflow". To start creating it, just click here, as shown in the picture. For a better understanding of working with "workflow", create an empty "workflow", as shown in the picture. Now, you probably got scared. A strange black grid and an incomprehensible interface. Everything is fine, everything is quite simple here. Everything consists of nodes that are connected to each other, by connecting ones, similar to wires. You can watch the video of the "Tensor.art" team on "youtube", in which you will be introduced to the main nodes. The method of adding nodes in the video has a drawback. The list of nodes available for adding is very large and starts from the end of the list, and the most frequently used nodes are at the beginning of the list. Scrolling to the beginning of the list is very long and takes 2-3 minutes. Therefore, I advise using the search to add nodes. To open the search by nodes, you need to double-click the Left Mouse Button on an empty space. So which nodes exactly need to be added and what is their name? Let's try a method known from school. Let's copy someone's ready-made "workflow". For copying, I suggest my "workflow" - "Introvert Christmas & Phlegmatic New Year #Christmas Walkthrough". Everything as in the picture below you will try to copy.I made it according to the video guide of the "Tensor.art" team on "youtube", which I wrote about above. Adding a couple of other nodes from myself. Add all the necessary nodes using the search by nodes.Now fill in all the nodes, as in the "workflow" - "Introvert Christmas & Phlegmatic New Year #Christmas Walkthrough" or fill them with your custom parameters. Now exactly repeat the connections of the nodes as in the "workflow" - "Introvert Christmas & Phlegmatic New Year #Christmas Walkthrough" Hold down the left mouse button on the desired "light" then drag the wire to the other "light" as in the picture. To complete the task "AI Tool" containing "Radio Button". In addition to the two nodes "CLIP Text Encode (prompt)" I added one node "TA Node - PromptText". Then I turned one node with a positive prompt "CLIP Text Encode (prompt)" into "Input" as in the picture.As a result, I got this. I checked the functionality of the "workflow". With the "Run" button. After that I added the "Radio Button" as in the picture. The buttons are added, now you can press the publish button. Next, select the publication of the "AI Tool" and fill in all the sections. After pressing the publication again, the "AI Tool" is ready. It's not difficult, but at first it was scary? Congratulations!

遅くなりましたが、イベントのお題であるAIツールラジオボタンを解説します。ラジオボタンって何？こういうのです。いくつかの選択肢とカスタムボタンが表示されます。さっそく作っていきましょう。comfyuiの設定ラジオボタンが利用できるノードと利用できないノードがあります。僕はpromptlistというノードをよく使うのですが、このノードはラジオボタンを設定出来ません。なのでtextノードを繋げています。textノードはjjkがオススメです。textノードですが実際はtextboxノードに相当すると思われます。AIツールページの編集このように設定画面の右に「編集」の文字が出てきたら成功です。それでは設定していきましょう。プロンプトの編集画面入力方式で「ラジオボタン」を選択して、「追加」します。フォルダ管理のような画面になります。この場合だと「Action」がラジオボタンの名前になり、「jogging」が追加されます。ラジオボタンの追加ラジオボタンは選択肢に入ってないものも作成出来ます。上段が表示名、下段が実際に記入されるプロンプトになります。ラジオボタンの削除僕のようなタイプは少数派かもしれませんが、既定のプロンプトに興味がないです。「jogging」を消します。最初に一つ選択するのは必須の動作になっていますが、このように削除することが可能です。べっべっべっと追加します。ちなみに２つめの何も書いてないラジオボタンはスペースが入っています。僕のアニマジンAIツールは別にアクションを指定しなくても機能します。完成！はい！完成です！後はまぁ適当にチェックしておくといいです。AIツールは誤作動が多いように感じます。それでは、みなさん頑張って下さいネ★

SD3 understands prompts better compared to SDXL. You can use this to create interesting 3D lettering. For this purpose, use this WF! You can use a gradient as the background or any image you like. Have fun!Link to workflow: SD3 - 3D lettering designer | ComfyUI Workflow | Tensor.Art

You can visit the following site: https://tensor.art/template/804202454299301368This tool makes it easy for you to create Christmas greeting cards. It’s perfect for your classic postcards or your social media, like greeting posts on Instagram. How to use?Look at the your right-hand sideBefore clicking 'Go,' you can adjust the 'Element, Type of Postcard, and Greeting'Elements button to add the decoration you needPostcard type Button to add the type of postcard you wantGreetings button to add greetings that will be written, you can make it with your own costume, it's betterWait for a moment, and you’ll see the result.このツールを使えば、クリスマスのグリーティングカードを簡単に作成できます。クラシックなポストカードにも、Instagramのようなソーシャルメディアの投稿にもぴったりです。使い方は？画面右側を見てください。「Go」をクリックする前に、以下を調整できます：要素 (Elements): 必要な装飾を追加ポストカードタイプ (Type of Postcard): 作りたいポストカードの種類を選択挨拶 (Greeting): カスタムで作れば、さらに素敵なメッセージが完成します！数秒待つと、結果が表示されます。ぜひ、この便利なツールを使って、素敵なグリーティングカードを作ってみてください！

Unleashing Creative Potential with AI: A Spotlight on the Facial Expression Adjuster and GPTs Flux Prompt PROIn the ever-evolving world of artificial intelligence, precision and flexibility are at the heart of creating truly engaging and realistic digital content. From lifelike character animations to the fine-tuning of AI-generated imagery, a new generation of tools is enabling creators, animators, and designers to bring their visions to life with unprecedented control and detail. Two such cutting-edge tools—The Facial Expression Adjuster and GPTs Flux Prompt PRO—demonstrate the transformative power of intelligent automation in the creative workflow.1. The Facial Expression AdjusterLink: https://tensor.art/template/795874684511075193The Facial Expression Adjuster is a versatile AI solution designed to enhance and personalize digital facial expressions down to the tiniest detail. Whether you’re creating a 3D animated character or refining the emotional nuances of a still portrait, this tool lets you achieve unmatched accuracy and expressiveness. Key features include:Head Positioning: Easily control parameters such as pitch, yaw, and roll, ensuring perfect alignment and posture.Eye Expressions: Fine-tune blink and wink behaviors, adjust eyebrow angles, and position pupils for subtle or dramatic effects.Mouth Phonetics: Simulate mouth shapes corresponding to various phonemes (“A,” “E,” “W,” etc.) to produce speech-like expressions.Smile Calibration: Dial in the intensity of smiles, from a faint grin to a broad beam, adding depth and realism to character personalities.Ideal for animators, 3D artists, and AI developers, the Facial Expression Adjuster makes it simple to breathe life into digital avatars and scenes. By offering granular control over facial parameters, it unlocks new creative possibilities for storytelling and user engagement.2. GPTs Flux Prompt PROLink: https://chatgpt.com/g/g-NLx886UZW-flux-prompt-proAs AI-generated images increasingly reshape the creative landscape, the need for effective prompt engineering has never been greater. GPTs Flux Prompt PRO is a specialized tool that streamlines the process of crafting compelling, visually rich prompts for models like FLUX. By guiding creators through practical steps, offering real-world examples, and applying proven methods, it ensures that the prompts you design unlock the full potential of AI-generated visuals. Through this hands-on approach, even newcomers to prompt engineering can rapidly learn how to produce captivating outcomes that align with their artistic vision.Reinventing Your Workflow with AIBy incorporating The Facial Expression Adjuster and GPTs Flux Prompt PRO into your toolkit, you can drastically enhance the quality and impact of your creative output. These tools don’t just automate routine tasks; they empower you to direct AI-driven systems with precision and clarity, resulting in more refined, expressive, and emotionally compelling digital content.From breathing authenticity into virtual characters to perfecting your prompt-crafting skills, these advanced resources provide a blueprint for success in a world where technology and artistry continue to converge. If you’re ready to push your creative boundaries and discover new dimensions in AI-assisted art and animation, The Facial Expression Adjuster and GPTs Flux Prompt PRO stand ready to elevate your work to new heights.

So first, you need to update your version of OneTrainer.Second, u need dowload ALL files and folders (and rename)stabilityai/stable-diffusion-3-medium-diffusers at main (huggingface.co)then u put it:With float16 output lora has only 36MB:This is my setting for a style training:My checkpoint to testing u can dowload for free:Aderek SD3 - v1 | Stable Diffusion Model - Checkpoint | Tensor.Artand my loras: Aderek514's Profile | Tensor.ArtSo, good luck!

Does anyone know how to use images on tensor art to use with a 3D printer?

What are Radio Buttons?They allow you to use name syntax in your prompt to get a lines of prompt from a file. in TensorArt we will use it as susbtitition for personalized wildcards. So Radio Buttons are pseudo-wildcards. Check this article to know how to manipulate and personalize them. Radio Buttons requires a <Clip Text Encoder> node to be storo within.What do we need?Any working Ai ToolIn my current exploration only certain <CLIP Text Encoder> nodes allows you to use them as Radio Button containers. For this example I'll use my ai tool: 📸 Shutterbug | SD3.5L Turbo.Duplicate/Download your Ai Tool workflow (To have a Backup).Add a <CLIP Text Encode> node.Add a <Conditioning Combine> node,Ensamble the nodes as the illustration shows; be careful with the combine method, use concat if you're not experienced at combining clips, this will instruct your prompting to ADD the Radio Button calling prompt.💾 Save your Ai Tool workflow.Go to Edit mode in your Ai Tool.Export your current User-configurable Settings (JSON).↺ Update your Ai Tool.Import your old User-configurable Settings (JSON).Look for the new <CLIP TextEncode> node, and load it.Hover over the <CLIP TextEncode> new tab, and select Edit.Config your Radio Buttons.Publish your Ai Tool.Done! Enjoy the Radio Button feature in your Ai Tools, so in my case my new Ai Tool looks like this:📹 Shutterbug | SVD & SD3.5L Turbo.Note: I also included SVD video to meet the requirements of the Christmas Walkthrough event.

Welcome to the incredible world of AI art generation! If you're new to this realm where imagination merges with artificial intelligence, this guide, penned by MetaMan, is your perfect launchpad. Here, you'll learn how to craft EPIC prompts that unlock the full potential of AI image generation and bring your artistic visions to life.What is a Prompt?Think of a prompt as your translator for the AI. It's a written description that conveys your artistic vision to the AI system. Popular AI models like DALL-E, Stable Diffusion, and Midjourney rely on these prompts to understand the desired context and details for your artwork.Crafting the EPIC Prompt:E - Exact & Envisioned: The more specific your prompt, the more accurate the generated image will be. Don't settle for a generic "cat." Instead, try something like "a fluffy Siamese cat napping in a sunbeam on a windowsill, with vibrant flowers overflowing from colorful pots outside."P - Paint with Keywords:Imagine yourself painting with words! Infuse your prompt with relevant keywords that capture the essence of your desired image. These can include:Subjects (e.g., a majestic lion, a bustling cityscape)Settings (e.g., a lush rainforest, a futuristic metropolis)Moods (e.g., a serene beach at sunset, a chaotic battle scene)Colors (e.g., a vibrant coral reef, a monochrome cityscape)Artistic Styles (e.g., a classic oil painting, a whimsical cartoon)I - Infuse with Emotion:Want your AI artwork to evoke a specific feeling? Describe it! Instead of just saying "mountains," try "a majestic waterfall cascading down a lush green mountainside, shrouded in mist, creating a sense of awe and tranquility."C - Craft with Details:Details like colors, textures, and composition significantly influence the final image. Go beyond basic descriptions. Instead of just "bicycle," try "a vintage bicycle with a worn leather seat and chipped paintwork, leaning against a weathered brick wall bathed in the warm glow of a flickering streetlamp."Embrace Artistic Diversity:Do you have a favorite artistic style, like cartoon or photorealistic? Let the AI know! You can say things like "a close-up portrait of a woman with vibrant green eyes, painted in a classic Renaissance style" or "a majestic dragon with shimmering scales soaring through a starry night sky, rendered in a detailed anime style."Examples to Inspire:Landscape: A vast desert landscape with towering red sand dunes under a starry night sky, with a lone cactus silhouetted against the Milky Way.Portrait: A close-up portrait of an elderly man with a kind smile and a long, white beard, wearing a traditional Japanese kimono and holding a calligraphy brush.Animals: A playful pod of dolphins leaping out of a crystal-clear ocean at sunset, with a vibrant coral reef visible beneath the waves.Fantasy: A mystical city built on the back of a giant, winged turtle soaring through a sky filled with colorful clouds.Pro Tips for Success:Context is King: Don't be afraid to provide extra details for ultimate clarity. The more information you give, the better the AI can understand your vision.Synonyms are your Friends: If the results aren't quite what you envisioned, try using synonyms or different phrasing to describe the same elements.Length Matters (But Not Always): While longer, detailed prompts can yield better results, sometimes a concise and clear prompt is more effective. Experiment and find what works best for you!Matchmaker, Matchmaker: Each AI model has its strengths and weaknesses. Explore different models to discover the one that best suits your artistic style and desired outcome.By mastering the art of crafting EPIC prompts, you'll unlock the power of AI art generation and transform your creative vision into captivating imagery. So, dive in, experiment, have fun, and welcome to this exciting new artistic adventure!

Enjoy Your Imagination Tool is a lightweight image and video editing tool built on Qwen-Image-Edit, designed around a simple core idea: the freedom to unleash imagination.This tool is provided as a general-purpose AI content generation and research utility, intended to support experimentation, testing, and creative exploration.Please use this tool responsibly and in compliance with applicable laws and regulations. Do not use it to generate or distribute content that is illegal, harmful, or infringes upon the rights of others.Users are responsible for their inputs and for how generated content is applied or shared.I have implemented measures to ensure safe and responsible use, and may adjust, restrict, or discontinue features if misuse or risk is identified.Due to the open-ended nature of AI, outputs may occasionally be incomplete, inaccurate, or inappropriate.By continuing, you acknowledge the experimental nature of this tool and agree to use it responsibly.享受你的想象力工具 是一个基于 Qwen-Image-Edit 的轻量级图像与视频编辑工具，核心理念是：释放你的创意与想象力。本工具为通用型 AI 内容生成与研究工具，用于支持创作实验、测试与探索。请在合法合规的前提下使用本工具，勿用于生成或传播任何违法、有害或侵害他人权益的内容。用户需对自身输入及生成内容的使用负责。我已采取措施确保工具安全和合规使用，若发现滥用或风险行为，我可能会调整、限制或下线相关功能。由于 AI 系统具有开放性，生成内容可能存在不完整、不准确或不适宜的情况。继续使用即表示您认可工具的实验性质，并同意负责任地使用它。Version History & Key FeaturesImage Series :v1 (Test Version, Removed)An experimental release used to validate the overall editing workflow and the feasibility of integrating Qwen-Image-Edit.v2/Preview (Fixed Aspect Ratio Version)Introduced a fixed output ratio, significantly improving character and subject consistency across multiple edits. Ideal for character-focused and continuous creation scenarios.v3 (Flexible Aspect Ratio Version)Added free adjustment of output image aspect ratios, further enhancing overall image quality and visual detail while maintaining structural stability.v4 (Enhanced Prompt Understanding Version)Strengthened prompt parsing and semantic alignment, enabling more accurate interpretation of complex descriptions and abstract creative intentions.v5 (Multi-Image & Multi-Angle Version)Introduced multi-image editing and Multi-Angles LoRA support.This version further improves prompt comprehension and editing consistency under complex conditions such as multiple reference images, varying viewpoints, and advanced prompt structures, making it well suited for high-freedom and sophisticated creative works.v1 (Test Version, Removed / 测试版，已下线)初步实验版本，用于验证整体编辑工作流和 Qwen-Image-Edit 集成可行性。v2 / Preview (Fixed Aspect Ratio / 固定比例预览版)引入固定输出比例，提高人物和主体一致性，适合角色创作与连续创作场景。v3 (Flexible Aspect Ratio / 灵活比例版)支持自由调整输出图像比例，提高整体图像质量和视觉细节，同时保持结构稳定性。v4 (Enhanced Prompt Understanding / 提示词理解增强版)加强提示词解析和语义对齐，更准确理解复杂描述与抽象创意意图。v5 (Multi-Image & Multi-Angle / 多图多角度版)支持多图编辑与 Multi-Angles LoRA，增强复杂条件下的编辑一致性，适合高自由度创作与精细创作工作。Brief GuideUse natural language prompts ( English & Chinese Available)Use brief sentences to describe instead of put all the words in one sentence.For precise editing you can apply mask (Use " Inpaint " to add mask , can be found in upload box）Try random seed for more various result.使用自然语言提示（支持中文与英文）。简短清晰描述，不要堆砌长句。精准编辑可使用遮罩（上传框内“修补/Inpaint”功能）。可尝试随机种子以获得多样化结果。About PriceI know how users feel when find tools with annoying blue $ .However since I'm struggling to make ends meet irl , I have no choice but to set some of my tools paid :( Hope you can understand it.Image:v2 / Preview version remains free.v3 & v4 are free for 3 trials, then Pro / 1$ unlock.v5 free until a usage threshold, then may switch to Pro / 1$.v2 / 预览版保持免费。v3 & v4 提供 3 次试用，之后 Pro / 1$ 解锁。v5 在使用量达到阈值前免费，之后可能切换为 Pro / 1$。If you have any reasonable questions , please comment below.heart

Actually I don't understand how to get credit in a new way, when tensor asks to post on the homepage, which homepage? post on the channel, which channel? I have posted but I haven't received the credit. Does anyone know? Can you help me?

How to install Kohya_SS to Ubuntu WSL under Windows 111)Prepare:1.Check CPU virtualization on Windows > Task Manager > Perfomance > CPU > Virtualization: Enabled or Disabled.If Disabled - Access the UEFI (or BIOS). The way the UEFI (or BIOS) appears depends on your PC manufacturer. https://support.microsoft.com/en-us/windows/enable-virtualization-on-windows-c5578302-6e43-4b4b-a449-8ced115f58e12.Make sure you are using a recent version of Windows 10/11. If needed update to the latest version. (No earlier than Windows 10, Version 1903, Build 18362)2)Install WSL and Ubuntu1.Open Terminal > Use the command -wsl --install2.Open the Microsoft Store > Find - Ubuntu. (Ubuntu which doesn't show the version in a name is the latest)3.Install Ubuntu4.Open Ubuntu5.Create profile > For example:Username - UserPassword - User3)Install Kohya_SS on WSL Ubuntu:: Preparesudo apt updatesudo apt install software-properties-common -ysudo add-apt-repository ppa:deadsnakes/ppasudo apt updatesudo apt install python3.10 python3.10-venv python3.10-dev -ysudo apt update -y && sudo apt install -y python3-tksudo apt install python3.10-tksudo apt install git -y:: NVIDIA CUDA Toolkitwget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.0-1_all.debsudo dpkg -i cuda-keyring_1.0-1_all.debsudo apt-get updatesudo apt-get -y install cudaexport PATH=/usr/local/cuda-12.6/bin${PATH:+:${PATH}}export LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64\${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}:: Rebootsudo reboot:: Kohya_ss installcd ~git clone --recursive https://github.com/bmaltais/kohya_ss.gitcd kohya_ssgit checkout sd3-sd3.5-flux./setup.sh:: Configuration settingssource venv/bin/activateaccelerate config>This machine>No distributed training

>No>No>No>All>YesIf you have a RTX 30/40 series video card choose >bf16. If don't have choose >fp16.4)Run Kohya_SS on WSL Ubuntucd kohya_ss./gui.shNotes:To find Kohya_ss folder use \\wsl.localhost\Ubuntu\home\user in Explorer. You can move there a model to train and dataset.Additional commands for Windows Terminal:Shutdown -wsl --shutdownUninstall or reset Ubuntu -wsl --unregister Ubuntu

Introducing: Flux Prompt Generator — A Free Tool to Create Flux.1 Prompts from Text or ImagesRecently, I developed a web-based tool designed to help users of the Flux.1 model generate high-quality prompts. I named this tool Flux Prompt Generator.Flux Prompt Generator is built to simplify the process of creating prompts, whether from a textual description or an image. This tool is completely free to use and can be accessed at the following website:🔗 https://tools-ai.bangjdi.eu.orgTwo Main Features: Text to Prompt & Image to PromptText to PromptUsers simply enter a description of the desired image (for example: "a dragon flying over mountains at sunset"), and the system will convert it into a well-structured English prompt tailored to Flux.1 standards.Image to PromptThis feature allows users to upload an image, after which the tool will analyze its content and automatically generate a descriptive prompt.Built with the Help of AI: Gemini & ChatGPTThis tool was developed by integrating two leading AI technologies: Gemini (by Google AI) and ChatGPT. Gemini processes both visual and text inputs, while ChatGPT assists in writing code and crafting linguistically accurate and relevant prompts.Requires a Gemini API KeyTo use the Image to Prompt feature, you need to enter a Gemini AI API Key. This key is available for free from Google AI Studio. Once you obtain the key, simply enter it into the form provided within the app.How to Change Your API KeyIf you wish to change your API key in the future, simply click the icon at the top-right corner (as shown in the first image). The system will take you to the settings page where you can update your key (see the second image).Feel free to try it out, and if you have any suggestions, feedback, or ideas for further development, I’m always open to collaboration.Thank you.Bahasa IndonesiaPerkenalkan: Flux Prompt Generator — Tools Gratis untuk Membuat Prompt Flux.1 dari Teks dan GambarBeberapa waktu terakhir, saya mengembangkan sebuah tools berbasis web yang ditujukan untuk membantu para pengguna model Flux.1 dalam menghasilkan prompt berkualitas tinggi. Tools ini saya beri nama Flux Prompt Generator.Flux Prompt Generator dirancang untuk mempermudah proses pembuatan prompt, baik dari deskripsi teks maupun dari gambar. Tools ini sepenuhnya gratis dan dapat diakses melalui situs berikut:🔗 https://tools-ai.bangjdi.eu.orgDua Fitur Utama: Text to Prompt & Image to PromptText to Prompt Penggna cukup mendiskripsikan gambar yang diinginkan (misalnya: "seekor naga terbang di atas pegunungan saat matahari terbenam"), lalu sistem akan mengubahnya menjadi prompt dalam bahasa Inggris yang terstruktur dan sesuai dengan standar Flux.1.Image to PromptFitur ini memungkinkan pengguna untuk mengunggah gambar, kemudian tools akan menganalisis kontennya dan menghasilkan prompt deskriptif secara otomatis.Dibangun dengan Bantuan AI: Gemini & ChatGPTTools ini dibangun dengan mengintegrasikan dua teknologi AI terkemuka: Gemini (dari Google AI) dan ChatGPT. Gemini digunakan untuk memproses input visual dan teks, sedangkan ChatGPT membantu dalam menyusun menulis code dan prompt yang relevan dan presisi secara linguistik.Memerlukan API Key GeminiUntuk dapat menggunakan fitur Image to Prompt, Anda perlu memasukkan API Key dari Gemini AI. Key ini bisa didapatkan secara gratis melalui Google AI Studio. Setelah mendapatkan key, cukup masukkan pada form yang tersedia di aplikasi.Cara Mengubah API KeyJika Anda ingin mengganti API key di kemudian hari, cukup klik ikon di pojok kanan atas (seperti ditunjukkan pada gambar pertama). Sistem akan membawa Anda ke halaman pengaturan untuk mengganti key (gambar kedua).Silakan dicoba, dan jika Anda memiliki saran, kritik, atau ide pengembangan lebih lanjut, saya sangat terbuka untuk berkolaborasi.Terima kasih.

Lets be honest. To an AI Tool newcomer, ComfyUI is a ridiculously complicated pile of spaghetti and boxes, with confusing terms like “nodes”, and “loaders” and a loooong list of potential tools that make the eyes bleed to scroll through.So I’m not bothering with all that nonsense (At least at first), and neither should you.Lets be clear. The current state of AI tools and art make it stupidly easy to “cheat” at whatever task you are trying to accomplish, whether that be writing code, making art, or writing an Article about AI Tools (ahem). Admittedly, that was the first thing I tried when attempting to fulfil this task for the Christmas Walkthrough event. But after reading the overly complicated instructions on how to “get started with ComfyUI” that ChatGPT spat out, I realized what it is I really wanted to say and decided to toss that out and write this myself.As a relative newcomer to AI Art, I’ve relied heavily on “borrowing” prompts, lora and parameters from other more advanced/successful users, especially when starting off to generate images that I wanted to create. I felt a bit guilty for "pirating" other peoples prompts, but over time I began to read deeper into those tools I was “borrowing” and I started to get a real idea of how the underlying models were trained and how to actually get the most out of them. It took a couple months of messing around with image generation (read: making cute images of Pokémon and fox girls, and other stuff that should never see the light of day) before I began to seriously study and experiment with those tools to figure out what really made them work. I had a lot of fun doing that, and that is what I think really helped me build my confidence to go deeper. That same methodology applies to AI Tools generated with ComfyFlow. So here is how to get started with that on TensorArt, beginning with some good old fashioned piracy borrowing! (Arrrr)Find an existing AI Tool that does what you want (or close to it)Navigate to the profile page of the user who created that toolCheck their Workflows page, to see if they published the workflowIf not, then start over and find the next best Tool that does what you wantIf the workflow is available, Run it and save a copy under your WorkflowStart Experimenting!Make small tweaks to begin withApply what you already know from online image generationDon’t be scared to break things and start overIf the tool you chose ends up being too complicated to wrap your head around right now, start over from step 1 to find a simpler tool, one with fewer Nodes.Keep going til you start to get the hang of how it actually works!Publish your first workflow as soon as you feel you’ve begun to understand the basics. It doesn’t have to be something too distinct from the original tool you began with, just enough to show you took some risks and tried something a little different than the original. This is your version 1, which you will use to try making your first AI Tool.Go back into your published workflow and follow the recently updated AI Tool guide. It’s really straightforward and simple to do. I recommend sticking to just converting your text prompt to an AI input and publishing after testing. Make sure you enable pop-ups if clicking on the Publish button doesn’t do anything (I learned that the hard way, too!).Good luck!

Hey there, fellow tinkerers and pixel wizards! 🌟 Ever wanted to create an AI tool so powerful, even your future self wouldn’t know how it works? Well, buckle up! Today, we’re diving into the quirky world of workflow wizardry—where you’ll craft AI tools using ComfyUI and publish them like a mysterious, shiny black box. The best part? Your users won’t see the chaos inside. 🤫So, What’s the Deal with AI Tools?Imagine you’re assembling a Lego masterpiece, except each piece is a node, and the result isn’t a castle—it’s an AI tool. 🏰 These tools take user inputs (like prompts or images), process them through a hidden workflow, and spit out something magical. Your users don’t need to know what’s under the hood—they’ll just press buttons and enjoy the ride!How to Build Your AI Tool (Without Losing Your Marbles):1️⃣ Dream It: Start by conceptualizing what your AI tool will do. Want to turn doodles into masterpieces or mix Christmas sweaters with robot aesthetics? The possibilities are endless. 🎅🤖2️⃣ Craft It: In ComfyUI, build your workflow by connecting nodes like a pro pipefitter. Each node has a purpose, from loading models to decoding images. This is where the magic happens—or chaos, depending on your coffee intake. ☕✨3️⃣ Test It: Run the workflow as an AI tool. At this stage, expect some hiccups. Maybe the colors look weird, or your robot Santa has three arms. That’s fine—it’s all part of the process!4️⃣ Polish It: Update, adjust, and repeat until your tool is sleeker than a freshly polished apple. 🍎 Then, publish it for the world to admire (or fear).The Secret Sauce: Export/Import User Settings 🍔When you update your workflow, the user-configurable settings can reset. 😱 But fear not! With the Export/Import feature, you can save and reload those settings faster than you can say "workflow meltdown."How It Works:Export: Before hitting the update button, export your settings. Think of it as taking a backup of your genius. 💾Import: After updating your workflow, reload the saved settings. Voilà—no more starting from scratch. 🪄Pro Tip: This feature doesn’t work if you change the nodes too drastically. So, proceed with caution or risk hearing your inner monologue scream. 😬Nodes and Workflows: A Quickie Guide for the Clueless 🤷‍♂️Nodes:Think of nodes as puzzle pieces. Each one handles a small task, like:Loading a model 🎒Decoding text 🧾Sampling images 🎨Connect them, and you’ve got a functional pipeline. Disconnected nodes, however, are just sad little islands of potential. 😢Workflows:A workflow is what you get when you chain nodes together. It’s like a recipe for your AI tool:Load a model.Process a prompt.Generate an image.Save it.Simple? Yes. Satisfying? Extremely.When to Publish Your AI Tool 🎉Once you’ve created your workflow and polished it to perfection, it’s time to publish! Your users will only see the polished front end, not the spaghetti-like chaos of nodes and connections you wrangled into submission.Encourage users to interact by configuring input fields like prompts or sliders. Their creativity meets your innovation—it’s a win-win!Tips for AI Tool Wizards-in-Training 🧙Start Small: Begin with simple workflows to avoid brain freeze. 🧊Tinker Away: Play with parameters to see how they affect the output.Be Bold: Experiment with styles and features. Combine multiple LoRAs for maximum chaos (and brilliance).ConclusionCongratulations, you’re now equipped to create AI tools that will wow, confuse, and delight users! 🎉 So, go forth and turn your wildest ideas into shiny black-box tools. And remember: with great power comes great responsibility—or at least some very weird outputs. 😜Happy creating! 🎨🪄BlackPantherP.S. Don’t forget to export those settings. Nobody likes redoing work twice!

Learning is a work in progress for me so I figured I'd share what I've learned in the last few months:1) Think like a photographer: lighting, composition, focus, etc can apply to make the image more interesting.2) Larger resolution isn't necessarily better at anything other than taking longer and taking more credits. I've found that Flux can generate some stunning landscapes at 2MP but I don't see much improvement in most image types created beyond 1MP and I end up re-running a lot of portraits again for reasons like bad hands so why use more credits? 3) You can have fun with styles - cartoon, painting, photorealism, etc. I have more exploring to do here.4) Using an LLM to refine a prompt is a good thing. I like to just tell an LLM all of my ideas for a prompt until I think I'll like the output.5) Double check everything before you hit run. Can't tell you how many credits I've lost!6) Have fun...

Note: "I'm not a programming expert just a hobbyist who loves AI".Due to update Comfyui on Tensor Art some things has change a little bitIn this tutorial about Ai Tool we going to create a image to image Flux Model whit text description of what you want to change in the image you chooseAi tools are a great way to harness the power of AI especially to create or change the style of your image either to anime, comic, illustration etc. or change clothes like the one we going to create.You can create it to use it yourself or share it on the site for other users to use.Brief IntroductionBut to create an Ai Tool we must first start with the basics about them: The Workflow.I won't go into advanced concepts that complicate our lives; but I will tell you that the workflow is a set of steps such as loading a model, inputting prompts, and defining samplers, that the AI follows to create or transform an image or even a video.You can create a workflow or you can search for workflows on the site created by other users with the site's search tool.Creating a simple and functional workflowFirst of course you must have an active Tensor.art account.Second pass the mouse over Create and select ComfyFlowClick the New Workflow to enter the workflow interface Then Empty Workflow TemplateOnce inside we will double click on the workspace and a small window will appear to search for our first Node.A node is...this oneSelect TA Nodes and add TA Node LoadImage to the workflowNext double left-click on the workflow and search for VaeEncodeNext search for Loadvae Next search for samplercustomadvancednext search for vae decodenext search for save imageand conect them according to the next imageNext search for load diffusion modelNext search for dualcliploaderSearch for clip text encode (prompt)and finally Search for "Randomnoise", "Basicguider", "KSamplerselect" and "BasicScheduler"Here is the change made for Tensor ArtRight click on clip text encode and select "convert widget to input" and "convert text to input"Next click TA Nodes and select TA node prompttextand then connect them just like the follow imageand connect "Randomnoise", "Basicguider", "KSamplerselect" and "BasicScheduler" like thisFinally we upload our image, write the prompt that make some changes on the image and click on the generate button to test our workflow.We wait a moment and if everything goes well, we will see the final mixed generated image.Tip: Our workflow is automatically saved with every small change we make; so don't worry if for some reason it crashes unexpectedly or the pc shuts down.Note: We must always test our workflow and another workflow of the site to check if it is functional before publishing it because if we don't do this, Tensor.Art will not allow us to convert it into an Ai Tool.Click on the Publish button at the top left.Then a new window will appear in which we must choose whether we want to publish our workflow, only as a workflow or as an Ai Tool.Select Ai Tool and a new tab will open.Here the workflow will be selected automatically.We place the title we want to give to our Ai Tool.Then select the channel in the next drop-down menu, in our case, "Realistic".Select the relevant tags to our Ai Tool (Example: FLUX, INPAINTING).Then we must upload the final images that we obtained after having done the test in the workflow. If we download them we can select Upload or directly from workspaceIn the make contrast cover it is advisable to upload the initial image and the final image because a thumbnail is generated as a preview, so that if another user wants to use the Ai Tool knows what to do beforehand.Finally we click on publish and... ready we have our first Ai Tool, which we can share, if we want, in our social networks.And that's all folks.Enjoy it!

Creating an AI Workflow for Image-to-Video Conversion AI TOOL: A Breakdown of 10 Nodes In this article, we will explore a workflow designed in Tensor Art for converting images into dynamic video sequences. The process involves ten interconnected nodes, each serving a distinct purpose in the pipeline. Let’s break down the workflow step-by-step, starting with the Load Image node and ending with the Video Combine node.Image-to-Video Workflow in Tensor ArtThe diagram below illustrates the complete workflow with labeled nodes:Node ExplanationsLoad ImageThis is the entry point of the workflow, where the image file is uploaded to be used as the base for video generation.Resize ImageResizes the uploaded image to match the desired dimensions (e.g., 720x480 pixels). This ensures the output video maintains consistent proportions and compatibility with subsequent processing steps.Load CLIPLoads a CLIP model for text-to-image or text-to-video encoding. This allows the workflow to interpret text-based prompts, influencing how the visual content evolves during video generation.CogVideo TextEncode (Prompt)Encodes the primary textual prompt (e.g., describing what the flames or animations should look like) into a format understandable by the video model.CogVideo TextEncode (Secondary)Encodes an additional textual prompt to modify or enhance the animation, such as describing changes in intensity or movement within the scene.Download CogVideo ModelDownloads and initializes the CogVideo model, which is the primary AI tool responsible for generating video frames from textual and visual inputs.CogVideo ImageEncodeConverts the resized image into a format compatible with the CogVideo system, acting as a bridge between the static image and the dynamic video generation.CogVideo SamplerThe core of the workflow, this node generates video frames based on the encoded prompts, image data, and model configuration. Parameters such as the number of frames, steps, and noise strength are set here to control the quality and length of the video.CogVideo DecodeDecodes the sampled video data into a usable video format. This includes applying settings for tile sizing, overlap, and resolution to ensure the final video meets the desired specifications.Video CombineCombines the generated video frames into a cohesive video file. This node allows additional settings such as frame rate, loop count, and output format (e.g., MP4).Summary of WorkflowThis workflow efficiently converts an image into a video through a seamless integration of ten nodes. Starting from image uploading (Load Image) and resizing (Resize Image), the process uses text prompts (CLIP and CogVideo TextEncode) and AI models (CogVideo Sampler and Decode) to generate dynamic animations. The final product is rendered and saved through the Video Combine node. This modular approach ensures flexibility and precision in creating high-quality AI-generated videos. You can use this workflow to create AI TOOL for image to video!

source: anfu.me (now you can easyly create QRcode with tensor.art inside controlnet, next time i will create guide about that)Yesterday, I created this image using Stable Diffusion and ControlNet, and shared on Twitter and Instagram – an illustration that also functions as a scannable QR code.The process of creating it was super fun, and I’m quite satisfied with the outcome.In this post, I would like to share some insights into my learning journey and the approaches I adopted to create this image. Additionally, I want to take this opportunity to credit the remarkable tools and models that made this project possible.Get into the Stable DiffusionThis year has witnessed an explosion of mind-boggling AI technologies, such as ChatGPT, DALL-E, Midjourney, Stable Diffusion, and many more. As a former photographer also with some interest in design and art, being able to generate images directly from imagination in minutes is undeniably tempting.So I started by trying Midjourney, it’s super easy to use, very expressive, and the quality is actually pretty good. It would honestly be my recommendation for anyone who wants to get started with generative AI art.By the way, Inès has also delved into it and become quite good at it now, go check her work on her new Instagram account  @a.i.nes.On my end, being a programmer with strong preferences, I would naturally seek for greater control over the process. This brought me to the realm of Stable Diffusion. I started with this guide: Stable Diffusion LoRA Models: A Complete Guide. The benefit of being late to the party is that there are already a lot of tools and guides ready to use. Setting up the environment quite straightforward and luckily my M1 Max’s GPU is supported.QR Code ImageA few weeks ago, nhciao on reddit posted a series of artistic QR codes created using Stable Diffusion and ControlNet. The concept behind them fascinated me, and I defintely want to make one for my own. So I did some research and managed to find the original article in Chinese: Use AI to Generate Scannable Images. The author provided insights into their motivations and the process of training the model, although they did not release the model itself. On the other hand, they are building a service called QRBTF.AI to generate such QR code, however it is not yet available.Until another day I found an community model QR Pattern Controlnet Model on CivitAI. I know I got to give it a try!SetupMy goal was to generate a QR code image that directs to my website while elements that reflect my interests. I ended up taking a slightly cypherpunk style with a character representing myself :PDisclaimer: I’m certainly far from being an expert in AI or related fields. In this post, I’m simply sharing what I’ve learned and the process I followed. My understanding may not be entirely accurate, and there are likely optimizations that could simplify the process. If you have any suggestions or comments, please feel free to reach out using the links at the bottom of the page. Thank you!1. Setup EnvironmentI pretty much follows Stable Diffusion LoRA Models: A Complete Guide to install the web ui AUTOMATIC1111/stable-diffusion-webui, download models you are interested in from CivitAI, etc. As a side note, I found that the user experience of the web ui is not super friendly, some of them I guess are a bit architectural issues that might not be easy to improve, but luckily I found a pretty nice theme canisminor1990/sd-webui-kitchen-theme that improves a bunch of small things.In order to use ControlNet, you will also need to install the Mikubill/sd-webui-controlnet extension for the web ui.Then you can download the QR Pattern Controlnet Model, putt the two files (.safetensors and .yaml) under stable-diffusion-webui/models/ControlNet folder, and restart the web ui.2. Create a QR CodeThere are hundreds of QR Code generators full of adds or paid services, and we certainly don’t need those fanciness – because we are going to make it much more fancier 😝!So I end up found the QR Code Generator Library, a playground of an open source QR Code generator. It’s simple but exactly what I need! It’s better to use medium error correction level or above to make it more easy recognizable later. Small tip that you can try with different Mask pattern to find a better color destribution that fits your design.3. Text to ImageAs the regular Text2Image workflow, we need to provide some prompts for the AI to generate the image from. Here is the prompts I used:Prompts(one male engineer), medium curly hair, from side, (mechanics), circuit board, steampunk, machine, studio, table, science fiction, high contrast, high key, cinematic light, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.3), extreme detailed, highest detailed, (ultra-detailed)Negative Prompts(worst quality, low quality:2), overexposure, watermark, text, easynegative, ugly, (blurry:2), bad_prompt,bad-artist, bad hand, ng_deepnegative_v1_75tThen we need to go the ControlNet section, and upload the QR code image we generated earlier. And configure the parameters as suggested in the model homepage.Then you can start to generate a few images and see if it met your expectations. You will also need to check if the generated image is scannable, if not, you can tweak the Start controling step and End controling step to find a good balance between stylization and QRCode-likeness.4. I’m feeling lucky!After finding a set of parameters that I am happy with, I will increase the Batch Count to around 100 and let the model generate variations randomly. Later I can go through them and pick one with the best conposition and details for further refinement. This can take a lot of time, and also a lot of resources from your processors. So I usually start it before going to bed and leave it overnight.Here are some examples of the generated variations (not all of them are scannable):From approximately one hundred variations, I ultimately chose the following image as the starting point:It gets pretty interesting composition, while being less obvious as a QR code. So I decided to proceed with it and add add a bit more details. (You can compare it with the final result to see the changes I made.)5. Refining DetailsUpdate: I recently built a toolkit to help with this process, check my new blog post 👉 Refine AI Generated QR Code for more details.The generated images from the model are not perfect in every detail. For instance, you may have noticed that the hand and face appear slightly distorted, and the three anchor boxes in the corner are less visually appealing. We can use the inpaint feature to tell the model to redraw some parts of the image (it would better if you keep the same or similiar prompts as the original generation).Inpainting typically requires a similar amount of time as generating a text-to-image, and it involves either luck or patience. Often, I utilize Photoshop to "borrow" some parts from previously generated images and utilize the spot healing brush tool to clean up glitches and artifacts. My Photoshop layers would looks like this:After making these adjustments, I’ll send the combined image back for inpainting again to ensure a more seamless blend. Or to search for some other components that I didn’t found in other images.Specifically on the QR Code, in some cases ControlNet may not have enough prioritize, causing the prompts to take over and result in certain parts of the QR Code not matching. To address this, I would overlay the original QR Code image onto the generated image (as shown in the left image below), identify any mismatches, and use a brush tool to paint those parts with the correct colors (as shown in the right image below).I then export the marked image for inpainting once again, adjusting the Denoising strength to approximately 0.7. This would ensures that the model overrides our marks while still respecting the color to some degree.Ultimately, I iterate through this process multiple times until I am satisfied with every detail.6. UpscalingThe recommended generation size is 920x920 pixels. However, the model does not always generate highly detailed results at the pixel level. As a result, details like the face and hands can appear blurry when they are too small. To overcome this, we can upscale the image, providing the model with more pixels to work with. The SD Upscaler script in the img2img tab is particularly effective for this purpose. You can refer to the guide Upscale Images With Stable Diffusion for more information.7. Post-processingLastly, I use Photoshop and Lightroom for subtle color grading and post-processing, and we are done!The one I end up with not very good error tolerance, you might need to try a few times or use a more forgiving scanner to get it scanned :PAnd using the similarly process, I made another one for Inès:ConclusionCreating this image took me a full day, with a total of 10 hours of learning, generating, and refining. The process was incredibly enjoyable for me, and I am thrilled with the end result! I hope this post can offer you some fundamental concepts or inspire you to embark on your own creative journey. There is undoubtedly much more to explore in this field, and I eager to see what’s coming next!Join my Discord Server and let’s explore more together!If you want to learn more about the refining process, go check my new blog post: Refining AI Generated QR Code.ReferencesHere are the list of resources for easier reference.ConceptsStable DiffusionControlNetToolsHardwares & Softwares I am using.AUTOMATIC1111/stable-diffusion-webui - Web UI for Stable Diffusioncanisminor1990/sd-webui-kitchen-theme - Nice UI enhancementMikubill/sd-webui-controlnet - ControlNet extension for the webuiQR Code Generator Library - QR code generator that is ad-free and customisableAdobe Photoshop - The tool I used to blend the QR code and the illustrationModelsControl Net Models for QR Code (you can pick one of them)QR Pattern Controlnet ModelControlnet QR Code MonsterIoC Lab Control NetCheckpoint Model (you can use any checkpoints you like)Ghostmix Checkpoint - A very high quality checkpoint I use. You can use any other checkpoints you likeTutorialsStable Diffusion LoRA Models: A Complete Guide - The one I used to get started(Chinese) Use AI to genereate scannable images - Unfortunately the article is in Chinese and I didn’t find a English version of it.Upscale Images With Stable Diffusion - Enlarge the image while adding more details

Introduction: The Importance of VAEs in Image GenerationVariational Autoencoders (VAEs) are critical components in image generation models like Stable Diffusion. They act as "decoders" that transform latent representations (abstract data) into visible pixels, directly influencing image sharpness, colors, and details. On Tensor.art, two VAEs stand out: sdxl-vae-fp16-fix.safetensors and vae-ft-mse-840000-ema-pruned.ckpt. This article explores their technical differences, ideal use cases, and strategies to maximize their efficiency through prompts and parameters.Chapter 1: Understanding the Two VAEs1.1 sdxl-vae-fp16-fix.safetensorsArchitecture and Training: This VAE is optimized for the SDXL (Stable Diffusion XL) framework, focusing on high resolution and realistic details. The "fp16-fix" version uses 16-bit precision (float16) to reduce memory usage, with fixes to avoid common artifacts found in unoptimized VAEs.Strengths:Generates vibrant colors and complex textures (e.g., human skin, fabrics).Ideal for prompts requiring photorealism or hyper-detailed scenes (e.g., "close-up portrait of an elderly woman with deep wrinkles and soft sunlight").Performs well at resolutions above 1024x1024.Limitations:May produce oversaturated images if prompts are unbalanced.Requires fine-tuning of parameters like CFG Scale to avoid distortions.1.2 vae-ft-mse-840000-ema-pruned.ckptArchitecture and Training: This model is fine-tuned using Mean Squared Error (MSE), prioritizing fidelity to training data. The "ema-pruned" suffix indicates pruning to remove redundant weights and the use of Exponential Moving Average (EMA) for stability.Strengths:Produces consistent images with fewer artifacts.Excellent for stylized or artistic scenes (e.g., "surreal landscape with glowing trees and pastel skies").Efficient on modest hardware due to pruning.Limitations:Less detailed in micro-textures compared to the SDXL VAE.May oversmooth complex elements.Chapter 2: Technical Comparison and Use CasesComparative Tablesdxl-vae-fp16-fix.safetensorsIdeal Resolution>1024x1024Image StylePhotorealistic, DetailedMemory ConsumptionHigh (due to FP16)Generation SpeedSlowerBest ForPortraits, Realistic Scenesvae-ft-mse-840000-ema-pruned.ckptIdeal Resolution 512x512 to 768x768Image Style Artistic, StylizedMemory Consumption Moderate (due to pruning)Generation Speed FasterBest For Concept Art, IllustrationsPractical ExamplesExample 1: For a realistic elderly portrait, use the SDXL VAE with descriptive prompts:"close-up portrait of an 80-year-old man, detailed wrinkles, realistic skin pores, soft natural lighting, film grain, 8k, photograph, sharp focus" Recommended parameters: CFG Scale: 7-9, Steps: 30-40, Sampler: DPM++ 2M Karras.Example 2: For a fantasy scene, the MSE VAE is more suitable:"mystical forest with glowing mushrooms, vibrant colors, dreamlike atmosphere, matte painting style, soft edges, trending on ArtStation" Recommended parameters: CFG Scale: 5-7, Steps: 20-30, Sampler: Euler a.Chapter 3: Strategies to Optimize Prompts and Parameters3.1 Prompt LanguageSDXL VAE: Use technical details and photographic terms:E.g., "35mm lens, f/2.8 aperture, ISO 100, depth of field".Include keywords like "ultra-detailed", "textured", "photorealistic".MSE VAE: Prioritize artistic adjectives and style references:E.g., "watercolor texture", "impressionist brushstrokes", "Studio Ghibli aesthetic".3.2 Parameter CombinationsDenoising Strength:For SDXL VAE, high values (>0.7) may introduce noise; keep between 0.5-0.65.For MSE VAE, values up to 0.7 are safe to preserve smoothness.CFG Scale:SDXL: 7-9 for precise control; higher values risk oversaturation.MSE: 5-7 to balance creativity and fidelity.3.3 Post-ProcessingFor SDXL VAE, use upscalers like ESRGAN to enhance details.For MSE VAE, apply smoothing filters (e.g., Gaussian Blur with radius 2) to harmonize stylized areas.Chapter 4: Common Mistakes and How to Avoid ThemMixing Incompatible VAEs: Using SDXL VAE with non-SDXL base models causes inconsistencies. Check compatibility on Tensor.art.Generic Prompts: Avoid vague terms like "high quality". Be specific: "skin with subcutaneous veins and freckles".Ignoring Seed: Fix the seed (e.g., --seed 1234) to test controlled variations when adjusting parameters.Conclusion: Choosing the Right VAE for Your NeedsMastering VAEs on Tensor.art requires understanding their technical nuances and adapting prompts and parameters to your goals. While sdxl-vae-fp16-fix.safetensors excels in realism and detail, vae-ft-mse-840000-ema-pruned.ckpt offers efficiency and consistency for artistic projects. Experiment with combinations, document your results, and refine your approach to turn ideas into stunning visuals.Next Step: Create a personal benchmark by testing both VAEs with the same prompt and parameters, then compare textures, colors, and processing time!AttWordGuedo

To publish a tool you need to have a workflow preparedYou can find them in ComfyFlow.From here you either make a new workflow, import a workflow file or choose already made one.When you selected a workflow to make into Ai tool, enter that workflows editor.Inside of selected workflow you need to have at least one AI Tool Node (TA Nodes) integrated in to the workflow.(More about TA Nodes: https://tensor.art/about/aitool-tutorial)Then you need to run the workflow.After you run it press "Publish" button in top right corner and select "Ai Tool"Now you need to fill out the boxes (Name, Channel)If you had done everything correctly you can also change "User-configurable Settings"Fill everything according to the Tool/Workflow and pres publish.

Guide to Using New TA Nodes with SelectParams on Tensor.artTensor.art recently introduced the powerful TA Nodes tool, enabling users to have more control and flexibility in AI-driven art creation. This article will guide you on how to use the SelectParams Node to adjust the application intensity of the Redux Style Model through the ConditioningAverage Node.1. What are TA Nodes?TA Nodes is a node-based workflow system that allows you to connect nodes to customize your image creation process. The SelectParams Node is a crucial feature, enabling you to fine-tune input parameters and control how much the Style Model influences the final output.2. Redux Style Model and the Role of SelectParamsThe Redux Style Model on Tensor.art is designed to produce artwork with a bold, minimalist yet sharp aesthetic. To manage the intensity of the Style Model's application and ensure the output aligns with your creative vision, the SelectParams Node allows you to adjust parameters dynamically via the ConditioningAverage Node.3. Steps to Use TA Nodes with SelectParamsStep 1: Create a Workflow with Redux Style ModelOpen the TA Nodes interface on Tensor.art.Add the Load Style Model node and select the model flux1-redux-dev.safe.tensors.Connect the Load Style Model node to the Apply Style Model node.Step 2: Add a PromptAdd the CLIP Text Encode (Prompt) node and input your creative idea.Example: "A cyberpunk cityscape at sunset with neon lights."Connect the output of CLIP Text Encode to the Apply Style Model node.Step 3: Add the SelectParams NodeAdd the SelectParams Node from the node list.Configure the settings:Creativity Levels: Choose between Low, Medium, or High.Set corresponding values for each level (e.g., Low: 0.1, Medium: 0.5, High: 0.8).Connect the SelectParams Node to the ConditioningAverage Node.Step 4: Integrate and AdjustConnect the ConditioningAverage Node to the output of the Apply Style Model node.In the ConditioningAverage Node, fine-tune additional parameters like Conditioning Strength to blend the values from SelectParams effectively.Step 5: Preview and FinalizeClick Preview AI Tool to inspect the output.If needed, go back and adjust the values in SelectParams.Once satisfied, click Go to generate the final artwork.4. Benefits of the SelectParams NodeFlexible Adjustments: The SelectParams Node allows you to increase or decrease the intensity of the Apply Style Model, ensuring the final image matches your creative intent.Seamless Integration with ConditioningAverage: It works directly with the ConditioningAverage Node, letting you control the Style Model's application intensity based on predefined levels (Low, Medium, High).Optimized Workflow: Quickly experiment with different settings without manually tweaking small parameters.High Precision: The ability to fine-tune specific levels ensures you achieve the desired result without excessive trial and error.Time-Saving: Predefined Low, Medium, and High settings make the adjustment process straightforward and efficient.5. Tips for Using the SelectParams NodeStart with Medium: This level is balanced and ideal for initial experimentation.Go High for Bold Results: Increase to High when aiming for detailed or striking artistic effects.Use Low for Subtlety: Lower the intensity when you want a natural and minimalist output.6. ConclusionThe SelectParams Node not only enables you to adjust the application intensity of the Redux Style Model but also optimizes your creative process. It's an ideal tool for ensuring that every piece of artwork reflects your vision and style. Start experimenting today on Tensor.art! 🎨

This may be well known, but I just learned about it recently.One of the most annoying problem I encountered with ComfyUI is that after installing a custom node, I have to poke around and guess where in the context menu the new node is located.But there is a fast and easy way. Just double-click anywhere on an empty part of the screen, and a search box will come up. If you know the name of the node, just type it in and you will be able to find it.For example, if you want to use "FaceDetailer", just type "Face". For other types of detailer, just type "Detailer".

Hi everyone.As I wrote in my last article, I am not an expert in using ComfyUI. However, in the last few days I have discovered that I can use it as I want, but others have not figured out how (yet). So this article is - really very short and sweet - about the possibility of using ComfyUI to create images using Tensor.Art's Flux checkpoint.In this article, I'm assuming you already have ComfyUI on your computer and we can start fine-tuning right away.Next, if you haven't already, please install ComfyUI Manager. This is a very useful add-on that allows you to easily add missing modules to ComfyUI for example. You can use it to install the missing modules I used in my example if you want. I'll come back to this later.Now that ComfyUI is already installed, two things are needed.Flux Checkpointput it in your ComfyUI/models/checkpoints/ folderFlux VAE Fileput it in your ComfyUI/models/vae/ folderOnce we've done that, we can create the workflow we want. I've tried to illustrate it as best as I can, you can move it around later, but for replication purposes, it was much easier to read.Notes on the workflow:If you cannot completely recreate this workflow, i.e. saving the file, then you are missing the Save Image Extended extension for ComfyUI. This can now be easily added via the manager.Please do not be put off by the warning, the module works wonderfully (with the setup shown here), although I would have liked to have saved more information when saving.You can of course add as many LoRA etc. as you like to the workflow, one extension was enough for me to start with and it is also sufficient for the example.Next we create the images. Adapt the workflow to your needs:Prompt (Positive Prompt only)LoRA(s) or not (just "Bypass" them if you don't need them)Height & Weight of the image you want to createGuidance Scale (FluxGuidance)Sampler (KSamplerSelect)Scheduler & Steps (BasicScheduler)If you used my setup in the Save Image module, you will find the image named COUNTER_SEED in your output directory. The counter is having 5 digits (if you copied my setup) and is used to know order them the same way they got created. That's why I wanted to use this extension, because I couldn't create such file names with the standard Save Image module.The seed is needed to create the same image again within Tensor.Art. I've added it to the filename, so i just need to copy the name and remove the counter part and i don't need to use other tools or workflows to get the needed information out of the meta-data of the file.Ok... The result. I created a file that I want. How do I post it here? That's not possible. But the good point: create it again without the other images you generated first until you get the image you like the most.Make sure you use the same setup in Tensort.Art as in your workflow. In my case, I would like to have this now:Then you need to add the prompt used and generate your image again... BUT...as I mentioned before, I'm not a professional in using this AI tool... so there is a difference between the generated images. The difference is soooo small that it shouldn't be a problem for you, but I'll show you an example between Tensor.Art and creating the same file locally:If you compare these images (the first one is the local version) you might see a difference in the ornament on her chest. These differences are very very small but if it is THAT detail that makes the image perfect for you it may give a different result on Tensor.Art.So if anyone reading this has a solution to this problem feel free to help me with it.Thanks for reading

Best model for 1.5, SDXL 1.0 Base, Pony -1)Taggui https://github.com/jhc13/tagguiwd-vit-large-tagger-v3 https://huggingface.co/spaces/SmilingWolf/wd-taggerBest model for FLUX dev, FLUX schnell -1)Joytag Caption - Batch https://github.com/MNeMoNiCuZ/joy-caption-batch https://civitai.com/articles/6723/tutorial-tool-caption-files-for-flux-training-sfw-nsfw2)Taggui https://github.com/jhc13/tagguiA good model for FLUX dev, FLUX schnell - Florence-2-base-PromptGen Florence-2-base-PromptGenInstruction for Tags:1)Taggui1.Download Taggui2.Unpack archive and run taggui.exe3.Select - wd-vit-large-tagger-v34.FIle > Load Directory (Ctrl+L) - Select folder with images5.Start Auto-CaptioningSettings and Tips:1.Maximum tags - 30 (default) is a good starting point. The more detailed images you select the more tags the model can generate. A lot of tags can create artifacts on generation.2.Show probabilities - activate weight on tags. Can create more precise tags for image. To activate this futures for training (Kohya_SS) need to activate - Parameters > Advanced > Weighted captions ON.Instruction for Captions:1)Joytag CaptionPrepare: Install Python 3.10 and CUDA Toolkit 12.6 if you don't have to. (Installing running requirements)1.Joytag Caption2.Download Joytag Caption3.Unpack archive and run venv_create.bat3.1.Select a Python version by number: 1 (Python 3.10)3.2.Enter the name for your virtual environment: Enter3.3.Do you want to upgrade pip now?: Y3.4.Do you want to install 'uv' package?: Y3.5.Do you wish to run 'uv pip install -r requirements.txt'?: Y4.Install:pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124Usage and Tips:Prepare: Put images inside - input folder in joy-caption-batch-main.1.Run Terminal inside joy-caption-batch-main folder2.Run:python -m venv venv.\venv\Scripts\activatepy batch.pyNote:Default caption length is 256 which cannot be recommended for character.Style train - up 300 words.Character train - up 25 words.2)Taggui1.Download Taggui2.Unpack archive and run taggui.exe3.Select - Florence-2-base-PromptGen4. FIle > Load Directory (Ctrl+L) - Select folder with images5.Start Auto-CaptioningSettings and Tips:1.Maximum tokens - 50 (default) is good start point. The recommended maximum value is 300.2.Number of beams - 10 (default) is a good standard. Increasing this number increase the precision prediction of the detect algorithm. More value requires more VRAM