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  2. List of 3D printing software - Wikipedia

    en.wikipedia.org/wiki/List_of_3D_printing_software

    3D printing processes; Thingiverse - open CAD repository/library for 3D printers, laser cutters, milling machines; MyMiniFactory - 3D printing marketplace; CAD library - 3D repository to download 3D models; Fused filament fabrication - 3D printing process that uses a continuous filament of a thermoplastic material; Qlone - 3D scanning app based ...

  3. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.

  4. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  5. List of 3D modeling software - Wikipedia

    en.wikipedia.org/wiki/List_of_3D_modeling_software

    Download QR code; Print/export ... Alibre Design: Commercial software: Yes: Yes Aladdin4D: Commercial software ... CAD library – cloud based repository of 3D models ...

  6. Thingiverse - Wikipedia

    en.wikipedia.org/wiki/Thingiverse

    Thingiverse is one of the first websites [15] to allow customization of parametric designs made with OpenSCAD. OpenSCAD is a free and open source software that uses scripting to design 3D objects. [16] Many 3D printers can be upgraded with 3D-printed parts. Thingiverse users produce many improvements and modifications for a variety of platforms.

  7. Latent diffusion model - Wikipedia

    en.wikipedia.org/wiki/Latent_Diffusion_Model

    The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.