Text To Image Generation: SDXL-Turbo (New Stable Diffusion Model).
The technology called "text-to-image generation" is one of the most advanced and promising in the field of artificial intelligence. It consists of training a computational model to learn to associate words with visual concepts, and then using that knowledge to create original and coherent images with the input text.
The basic process is as follows: You give the AI model text that describes what you want to see in the image, for example, "a black cat with green eyes sitting on a red sofa". The model analyzes the text and extracts the visual concepts it contains, such as the color, shape, position and size of elements. The model then uses its knowledge learned from thousands of images to generate an image that is consistent and realistic with the text, using artificial neural network techniques. Artificial intelligence returns the generated image to the user, who can save, share or modify it.
However, it is worth highlighting that this technology is not perfect and has some limitations, such as:
📌 The size of the images that can be generated, taking into account that some artificial intelligence models have limits on the resolution and detail of the images they can create, which can affect their quality and realism.
📌 The degree of adjustment to the text entered, some artificial intelligence models can generate images that do not correspond exactly to the text given to them, or that have irrelevant or incoherent elements, this may be due to not fully understanding the meaning of the text or because the text is too ambiguous or complex.
📌 Another common limitation is in the quality of faces and hands as they have difficulty generating realistic and expressive human faces, especially if the text contains specific features or emotions, because the model does not have enough training data to learn to represent the diversity and complexity of human faces.
📌 We can also find that some artificial intelligence models require a long time to generate an image, which can affect the user experience.
Related to this last point: "time to generate an image" (main topic of this article), a new Stable Diffusion model (SDXL-Turbo) has been created that allows Generate images with just one step. SDXL Turbo achieves performance, enabling single-step image generation with unprecedented quality, reducing the number of steps required from 50 to just one.
Image generated by the author
This artificial intelligence model is published on Hugging Face, under a non-commercial research license that allows personal and non-commercial use. To try it for free just go to the Clipdrop editing platform which is compatible with most browsers.
I forgot to tell you that it is also possible to install this model on the PC (Repository): https://github.com/Stability-AI/generative-models
Without a doubt, this "text to image generation" technology is constantly evolving and improving, each new artificial intelligence model created has its own characteristics and advantages. How far will we be able to go? Only the future has the answer. What do you think?
✔ https://youtu.be/adDyTzBdUcg
✔ http://clipdrop.co/stable-diffusion-turbo
✔ https://huggingface.co/stabilityai/sdxl-turbo
✔ https://github.com/Stability-AI/generative-models
✔ https://stability.ai/research/adversarial-diffusion-distillation
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