Based on ChatGPT's AI intelligent painting technology, create the most advanced and highest quality paintings.
With the continuous development of artificial intelligence technology, more and more intelligent applications are being widely used in our lives. In the field of drawing, AI smart technology has also gradually become popular. In the past, drawing a high-quality original picture required a long period of preparation, conception and technical reserves. But now, with this smart extension, you can easily generate a high-quality original picture that meets your needs with just a short one-line prompt.
This program makes creation more efficient. Creators only need to input short prompt words, and the program will use powerful artificial intelligence technology to quickly generate a picture that meets the requirements. Creators no longer need to spend a lot of time and cost to learn and master painting skills and tools. This program greatly shortens people's drawing time and difficulty, allowing more people to have the opportunity to create beautiful original works.
Because the more specific the prompt words are, the more the pictures generated by the program can meet the creator's needs. Therefore, before using this program, creators should fully understand their own needs, and then describe in detail the image, color, and expression techniques they want as much as possible when inputting prompts, so that the pictures generated by the program can be more in line with the creators requirements.
We promise that the pictures generated with this extension will be of high quality and high definition. This program uses the most advanced artificial intelligence technology, which can automatically identify possible problems and defects in the drawing, ensuring that the generated image is very fine and natural in terms of clarity, color and outline. Even beginners can easily produce high-level original works.
In the era of AI intelligence, we no longer need to rely on manual drawing to express our creativity and imagination, but can rely on smart technology to express our creativity faster and more efficiently.
👉How to use:
1. Enter the prompt words to generate the picture, click the "Sure" button to start waiting for the generation. For better picture quality, this process will take about 1-2 minutes. You don't need to wait, just check it later on the history page!
2. After the picture is generated, you can download the picture with one click.
3. Can't write picture descriptors? No problem, we have provided some examples for you to refer to.
4. For your convenience, we have saved the history of your creation of pictures, and you can check them at any time.
1. Use the most advanced ChatGPT technology and the most powerful OpenAI to automatically generate a picture that matches the description according to the description words entered by the user. The popularization of this technology will obviously bring great convenience to graphic designers, advertising personnel and marketing personnel, and quickly generate high-quality publicity pictures.
2. In this AI drawing tool, users only need to input description words to automatically generate pictures. This means that users don't need to care about specific drawing techniques, but put their main energy into the conception and design of images. At the same time, the AI drawing tool also solves the problem of human language understanding, and can automatically understand the user's words to generate a picture and output the corresponding result. The emergence of this technology has greatly improved the efficiency of users, so that they can reach their work goals faster.
3. It can also be used for new media operations, publishing materials or short videos on platforms such as Douyin, Kuaishou, Xiaohongshu, and Bilibili. It can help new media creatives generate pictures more quickly. By inputting description words, the keywords in the description can be automatically analyzed and understood, so as to generate a picture that matches the description. At the same time, these tools can realize batch generation, which greatly improves work efficiency and saves time and labor costs. Secondly, in terms of visual design, it can provide more creative directions for new media operations. In the past, in the design process, creative personnel often need to design according to their own subjective experience and knowledge base. By using AI drawing tools, creative personnel can quickly see a variety of different design schemes, so as to try and explore different visual effects. This is a very valuable resource for new media operations.
4. In addition, on social media (Twitter, Facebook, Instagram, etc.), visual content can better attract users' attention. Because pictures can better show the characteristics and selling points of the product, so as to better interact with users, strengthen users' awareness and favorability of the brand, and achieve an effective brand promotion effect. In this regard, It can help new media have more high-quality and diverse pictures, so as to better meet the needs of users and improve the effect of brand promotion.
👉What is Stable Diffusion?
Stable diffusion is a text-to-image generation model based on Latent Diffusion Models. It can generate high-quality, high-resolution, and highly realistic images based on any text input. It belongs to the rising AI drawing technology along with Midjiourney, DALL·E 2, and Image Creator. By using AI to complete the drawing process, it saves labor costs and allows non-designers to quickly create high-quality images that meet their requirements.
The principle of stable diffusion can be broken down into several steps:
1. Stable diffusion uses a novel text encoder, OpenCLIP, developed by LAION with support from Stability AI, to convert text input into a vector representation. This vector representation captures the semantic information of the text and aligns it with the image space.
2. Stable diffusion uses a diffusion model to gradually transform a random noisy image into the target image. The diffusion model is a generative model that can learn a probability distribution from training data and sample new data from it.
3. During the diffusion process, stable diffusion uses the text vector and noisy image as conditional inputs to provide the probability distribution for each transformation step. In this way, stable diffusion can guide the noisy image towards the target image based on the text input, while maintaining image clarity and coherence.
4. Finally, stable diffusion uses an upscaler diffusion model to enlarge the generated low-resolution image to a higher resolution. The upscaler diffusion model is also a diffusion model that can recover detail information from low-resolution images and enhance image quality.