We can debate whether this is complete nonsense, but we should all agree this is NOT Stable Diffusion. Its training data likely predates the release of Stable Diffusion. Luckily, it knows whattext-to-image modelsandDALL·Eare (You can verify). So we can piggy-back on them in our prompt ...
The image and text embeddings are the initial input for the U-Net model. The U-Net model then reduces the noise (denoises) in the image using the text prompt as a conditional. Using a scheduler algorithm, the output from the U-Net model is then used to compute new image embeddings. T...
Using a Model to generate prompts for Model applications. / 使用模型来生成作图咒语的偷懒工具,支持 MidJourney、Stable Diffusion 等。 - soulteary/docker-prompt-generator
Stable Diffusion is a free, open-source model that turns text into images by generating pictures from your descriptions. It’s not a standalone program, but a core technology that other apps use. While there areseveral ways to use generative AI, especially for image generation, Stable Diffusion...
SDXL has 2.6 billion parameters, which is more than three times as many as Stable Diffusion 1.5. Source: https://sdxlturbo.ai/blog-SDXL-10-vs-Stable-Diffusion-15-Handson-Comparison-1518 So it seems that I am interested in SDXL-base-1.0. Owner Author Benjamin-Loison commented Jul 7, ...
It can be used to replace part of an image guided by prompt. To learn more, please refer to the Introduction to JumpStart Image editing – Stable Diffusion Inpainting example notebook. To learn more about the model and how it works, see the following resources: ...
Stable Diffusion is a powerful AI image generator that can create images from a text prompt. You can produce output using various descriptive text inputs like style, frame, or presets. In addition to creating images, SD can add or replace parts of images thanks to inpainting and extending the...
18.The system of claim 17, wherein the processors are further to iteratively update the diffusion network over a number of iterations to generate an image, from a noisy prior image, that satisfies the one or more boundary conditions.
However, for use cases that require generating images with a unique subject, you can fine-tune Stable Diffusion XL with a custom dataset by using a custom training container with Amazon SageMaker. With this personalized image generation model, you can incorporate your custom subj...
LLM models such as Dall-E, Stable Diffusion (used by Stability), Midjourney, Imagen (by Google), GauGAN (by Nvidia), Pixray, etc. are capable of generating images from the supplied input text or prompt. Spring AI module hasbuiltin support for text-to-image generationusing the following ...