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  1. Paso 1 Captura los Datos del Ticket: El primer paso para emitir tu factura es seleccionar la opción «Factura tu Ticket» en la página de Control Net. Selecciona Factura Ticket. En la siguiente pantalla debes registrar el número de tu ticket de compra, si no sabes donde se encuentra abajo aparece un ejemplo para ubicarlo.

  2. 4 de abr. de 2023 · To mitigate this issue, we have a new Stable Diffusion based neural network for image generation, ControlNet . ControlNet is a new way of conditioning input images and prompts for image generation. It allows us to control the final image generation through various techniques like pose, edge detection, depth maps, and many more.

  3. 开始着手用 Stable Diffusion 训练你的 ControlNet. 训练你自己的 ControlNet 需要 3 个步骤: 设计你想要的生成条件: 使用 ControlNet 可以灵活地“驯服” Stable Diffusion,使它朝着你想的方向生成。. 预训练的模型已经展示出了大量可用的生成条件,此外开源社区也已经开发出 ...

  4. 3. ControlNet Data Link Layer 3.1. ControlNet Token Ring. Now that you have seen the basics of ControlNet, let’s have a look to the other layers and get into the specifics of how it works. As I stated earlier, it is based on a “token-passing” bus control network which implements a logical “token ring” through a coaxial cable.

  5. 28 de feb. de 2023 · ControlNet est un modèle de réseau neuronal conçu pour contrôler les modèles de génération d’image de Stable Diffusion. Vous pouvez utiliser ControlNet avec diffèrents checkpoints Stable Diffusion. L'utilisation la plus élémentaire des modèles Stable Diffusion se fait par le biais du text-to-image.

  6. 1 de abr. de 2023 · Let's get started. 1. Download ControlNet Models. Download the ControlNet models first so you can complete the other steps while the models are downloading. Keep in mind these are used separately from your diffusion model. Ideally you already have a diffusion model prepared to use with the ControlNet models.

  7. 19 de abr. de 2024 · Weight is the weight of the controlnet "influence". It's analogous to prompt attention/emphasis. E.g. (myprompt: 1.2). Technically, it's the factor by which to multiply the ControlNet outputs before merging them with original SD Unet. Guidance Start/End is the percentage of total steps the controlnet applies (guidance strength = guidance end).