Creation of NSFW fictional chatbot characters
Art Bracadabra, Daft Art, Quick QR Art, Mancoding Art Generator, Free AI Art Generator, Stellar Art, Magic – Desenho e IA, AIPortrait.Art, Netwrck.com, Vieutopia - AI Art Generator are the best paid / free ART tools.
Autoregressive Transformer (ART) is a type of transformer architecture designed for autoregressive modeling tasks, such as language modeling and text generation. It builds upon the original transformer architecture introduced by Vaswani et al. in 2017, with modifications to enhance its performance on autoregressive tasks. ART has gained popularity in recent years due to its ability to generate high-quality, coherent text.
Core Features
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Janitor AI | Creation of NSFW fictional chatbot characters | Users can create fictional chatbot characters with different personalities on the Janitor AI platform. The platform utilizes large language models to power these characters. | |
Seaart.ai | AI illustration generation | Free Enjoy unlimited AI creativity to generate stunning visual content with ease. | Users can generate AI illustrations by providing text prompts and utilizing the platform's various AI models and tools. |
CrushOn.AI | Unbounded and unfiltered NSFW conversations | To use CrushOn.AI, users can dive into NSFW Character AI chats without filters to experience genuine, unrestricted AI interactions. The platform allows users to explore existing AI characters or create their own custom characters. Users can start by selecting their gender interest and then engage in conversations, adjusting chat settings like memory size and AI message length for a personalized experience. | |
Civitai | Model sharing for AI art generation |
Free $0 4 Images per job, 4 Queued jobs, Basic Support
| Browse the available models, embeddings, and LoRAs. Download the desired files and use them with Stable Diffusion. Review models and share images with prompts to help others. |
DeepAI | AI Image Generation |
DeepAI PRO $4.99/mo 500 AI generator calls per month + $5 per 500 more (includes images), 1750 AI Chat messages per month + $5 per 1750 more, 60 Genius Mode messages per month + $5 per 60 more, HD image generator access, Private image generation, API access, Ad-free experience
| Users can enter prompts for image generation, edit images with text prompts, or interact with AI characters. A DeepAI account is required to use the platform. |
Midjourney | AI-powered image generation | The provided content does not explicitly detail how to use the Midjourney website or platform. It mentions joining their Discord for product support and questions. | |
Leonardo.Ai | Image Generation | Users can generate images using text prompts and pre-trained AI models, edit images with the AI Canvas, and create 3D textures by uploading OBJ files. The platform offers various settings that can be tailored to individual needs. | |
PixAI | AI art generation | Credit Bundles Purchase credit bundles to unlock puzzle pieces or generate art. | Users can generate AI art by signing up or logging in, then using the generation tools available on the platform. They can explore different models, participate in contests, and train their own AI models. |
Runway | Gen-4: AI models for media generation and world consistency |
Free $0 per editor per month For individuals looking to explore Runway’s AI Tools and content creation features. Includes 125 credits (one time).
| Runway provides various AI-powered tools for media creation. Users can start by exploring the available tools like Gen-4 for generating videos and images from text or images. They can also utilize Runway Studios for producing and funding films and other media. The platform offers different subscription plans to access more features and credits. |
OpenArt | AI image generation |
Free $0 For beginners looking to trial and explore AI art creation
| Users can sign up for free and start creating images using basic models. They can input text prompts or upload images to guide the AI. The platform supports various tools like txt2img, img2img, and ControlNet. Users can also join the Discord community to earn trial credits. |
AI Prompt Generator
Prompt Engineering
AI Art Generator
AI Image Generator
Text to Image
AI Image Generator
AI Art Generator
Text to Image
AI Sticker Generator
AI Poster Generator
Content creation: Generating articles, product descriptions, or social media posts
Creative writing: Assisting authors in generating novel ideas, plot continuations, or character dialogues
Language translation: Building high-quality machine translation systems for various language pairs
Conversational AI: Powering chatbots and virtual assistants with natural language understanding and generation capabilities
Users have praised ART for its ability to generate coherent and fluent text, often indistinguishable from human-written content. Some have highlighted its potential for creative applications, such as story generation and content creation. However, others have raised concerns about the potential misuse of ART for generating fake news or misleading content. Overall, ART has received positive reviews for its powerful text generation capabilities, while also sparking discussions about responsible AI development and deployment.
Users interacting with chatbots powered by ART models, engaging in natural conversations
Users generating creative writing prompts or story continuations using ART-based text generation tools
Users exploring language translation applications that utilize ART for high-quality translations
To use ART for text generation tasks, follow these steps: 1. Prepare a large corpus of text data for training the model. 2. Tokenize the text data and convert it into numerical representations suitable for input to the ART model. 3. Define the ART model architecture, specifying the number of layers, attention heads, and hidden dimensions. 4. Train the ART model on the prepared text data using techniques such as teacher forcing and gradient descent. 5. Once trained, use the ART model to generate text by providing a prompt or initial sequence and iteratively predicting the next token until a stopping criterion is met.
Improved text generation quality compared to traditional recurrent neural networks
Ability to capture long-range dependencies in the input sequence
Efficient parallel computation during training and inference
Flexibility to be fine-tuned for various natural language processing tasks