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I like cute pictures, illustrations, anime, and mechanical things 馃グ I don't like images that are too naughty. Let's have fun together! 馃槈馃憤
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did you know? 鈥渢ensor.Art鈥 [ Enhance Prompt] feature

did you know? 鈥渢ensor.Art鈥 [ Enhance Prompt] feature

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 鈥嬧媋utomatically 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. Utilization Broaden 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 effects By 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!!!
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Let's make LoRA with 馃帹TensorArt 馃枌锔

Let's make LoRA with 馃帹TensorArt 馃枌锔

Hello everyone, this time I will briefly explain his LoRA creation feature in TensorArt. This feature allows you to create your own learning files. 鈿狅笍As I am self-studying, I would appreciate it if you could read this for reference only鈿狅笍 overview: LoRA (low rank adaptation) is an efficient method for fine-tuning AI models. TensorArt allows you to easily create your own training files with specific styles and characteristics using LoRA. This allows you to generate images for individual projects and creative needs. process: 1. Login and menu selection: First, log into TensorArt and select the Online Training option from the menu. 2. Upload images: Add the images you want to train to the upload area on the left. To do this, prepare multiple images with specific characteristics, such as the character's expression or pose. 3. Set model and trigger word: Select the model theme to be used, the base model (select from anime, reality, 2.5D, standard), and set the trigger word etc. Trigger words do not necessarily need to be set depending on the purpose. 4. About tags: Tags are automatically generated for each image when you upload it. Click on the uploaded image to check, delete, or add the generated tags. By deleting the tags of the features you want to learn, you can learn the features more accurately. Adjusting the tags will improve the quality of the images produced. (If this is your first time, feel free to ignore it.) 5. Run the training: Once the settings are complete, click the "Train Now" button at the bottom right. Training can take minutes to hours, and you can track your progress on a dedicated page. The amount of credits consumed will vary depending on the number of images you prepare, the number of training sessions, and the number of epochs, so please proceed in a planned manner. 6. Download the file: Once training is complete, download the generated LoRA file and use it for actual image generation. 7. Host the model: Proceed to create a project from "Host my model", enter the necessary information and click the create button. Completion and testing: Let's try image generation using the trained LoRA file. Although features can be learned sufficiently with a small number of images, similar compositions and poses are more likely to be generated if there are fewer reference images. 銆銆銆銆銆銆銆銆銆銆銆銆銆Completed: "Shizuku-chan" general-purpose XL Credit consumption: Creating LoRA consumes credits. The number of credits consumed varies depending on the number of images you prepare, the number of training sessions, and the number of epochs, so it is important to check the number of credits you need in advance and proceed accordingly. If you don't have enough credits, we recommend purchasing more or considering a Pro plan. summary: By using TensorArt's LoRA creation function, you can create illustrations with a higher degree of freedom. Please try out the features that are easy to use even for beginners. By using LoRA, your creative projects will be even more fulfilling. Let's create! !
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The future of AI image generation: endless possibilities -

The future of AI image generation: endless possibilities -

introduction {{For those who are about to start AI image generation}} In recent years, advances in AI technology have brought about revolutionary changes in the field of image generation. In particular, AI-powered illustration generation has become a powerful tool for artists and designers. However, as this technology advances, issues of creativity and copyright arise. In this article, we will explain the possibilities of AI image generation, specific use cases, how to create prompts, how to use LoRA and its effects, keywords for improving image quality, consideration for copyright, etc. Fundamentals of AI image generation AI image generation uses artificial intelligence to learn from data and generate new images. Deep learning techniques are often used for this, and one notable approach is stable diffusion. Stable Diffusion employs a probabilistic method called a diffusion model to gradually remove noise during image generation, resulting in highly realistic, high-quality output. Generating real images AI technology is excellent not only for creating cute illustrations, but also for generating realistic images. For example, you can generate high-resolution images that resemble photorealistic landscapes or portraits. By utilizing Stable Diffusion, it is possible to generate more detailed images, which expands the possibilities of application in various fields such as advertising, film production, and game design. Generate cute illustrations One of the practical applications of AI image generation is the creation of cute illustrations. This is useful for things like character design and avatar creation, allowing you to quickly generate different styles. This process typically involves collecting a large dataset of illustrations, training an AI model on this data to learn different styles and patterns, and generating new illustrations based on user input or keywords. creativity and AI AI image generation also influences creative ideas. Artists can use her AI-generated images as inspiration for new works or expand on ideas, which can lead to the creation of new styles and concepts never thought of before. Use and effects of LoRA LoRA (Low-Rank Adaptation) is a technique used to improve the performance of AI models. Its impacts include: 1. Fine-tune models: LoRA allows you to fine-tune existing AI models to learn specific styles and features, allowing for customization based on user needs. 2. Efficient learning: LoRA reduces the need for large-scale data collection and training costs by efficiently training models using small datasets. 3. Rapid adaptation: LoRA allows you to quickly adapt to new styles and trends, making it easy to generate images tailored to your current needs. For example, LoRA can be leveraged to efficiently achieve high-quality results when generating illustrations in a specific style. Creating a prompt When instructing an AI to generate illustrations, it's important to create effective prompts. Key points for creating prompts include providing specific instructions, using the right keywords, trial and error, and an optional reference image to help the AI figure out what you're looking for. Keywords for improving image quality When creating prompts for AI image generation, you can incorporate keywords related to image quality improvement to improve the overall quality of the images generated. Useful keywords include "high resolution," "detail," "clean lines," "high quality," "sharp," "bright colors," and "photorealistic." Copyright considerations Image generation using AI also raises copyright issues. If the dataset used to train your AI model contains copyrighted works, the resulting images may infringe your copyright. When using AI image generation tools, it's important to be aware of the data source, ensure that the generated images comply with copyright laws, and check the license agreement. conclusion AI image generation offers great possibilities for artists and designers, but it also raises challenges related to copyright. By using data responsibly and understanding copyright law, you can leverage AI technology to create innovative work. Leveraging technologies like LoRA can further improve efficiency and quality. Users can adjust the output by incorporating image enhancement keywords into the prompt. Let's explore new ways of expression while being aware of advances in AI technology and the considerations that come with it! !
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