This is a simplified guide to an AI model called Pixart-Lcm-Xl-2 maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
PixArt-LCM-XL-2 is a transformer-based text-to-image diffusion system developed by lucataco. It is trained on text embeddings from T5, a large language model. This model can be compared to similar text-to-image models like sdxl-inpainting, animagine-xl, and the dreamshaper-xl series, all of which aim to generate high-quality images from textual descriptions.
Model inputs and outputs
PixArt-LCM-XL-2 takes a text prompt as input and generates one or more corresponding images. Users can customize various parameters such as the image size, number of outputs, and number of inference steps. The model outputs a set of image URLs that can be downloaded or further processed.
Inputs
- Prompt: The textual description of the desired image
- Seed: A random seed to control the output (optional)
- Style: The desired image style (e.g., "None", other styles)
- Width/Height: The dimensions of the output image
- Num Outputs: The number of images to generate
- Negative Prompt: Text to exclude from the generated image
Outputs
- Image URLs: A set of image URLs representing the generated images
Capabilities
PixArt-LCM-XL-2 can generate a wide ...
Top comments (0)