Text to Image generating AI tools comparison

There are several AI-based tools available for generating images from text inputs, each with their strengths and limitations. Here's a comparison of some popular text-to-image AI tools: DALL-E 2: Developed by OpenAI, DALL-E 2 is one of the most advanced text-to-image AI models available. It can generate high-quality images based on complex textual descriptions. However, access to the model is currently limited and requires approval from OpenAI. CLIP + VQGAN: This is an open-source project that combines two AI models, CLIP (Contrastive Language-Image Pre-Training) and VQGAN (Vector Quantized Generative Adversarial Network), to generate images from text inputs. It can produce high-quality images and is relatively easy to use, but requires some technical knowledge to set up. Text-to-Image: This is a free online tool that uses a simpler AI-based algorithm to generate images from text inputs. While it can generate images quickly, the quality of the images may not be as high as other models. Deep Dream Generator: This is another free online tool that can generate images from text inputs. It uses a neural network to create surreal and abstract images, but the results may not always match the original text input. Overall, the choice of a text-to-image AI tool depends on the specific use case and the desired level of quality and accuracy. Some models are more advanced and produce higher quality images, while others are simpler and easier to use but may not always produce the desired results.