Stable Diffusion Api Stable Diffusion Api Documentation Here we are using websockets to use stable diffusion live while in an ar scene. this ends up being a little challenging because camera access is limited while in webxr. Learn how to enhance your projects by combining depth api and stable diffusion for stunning visual effects.
How To Use Super Resolution With Stable Diffusion Api Blog Flux.1 fill: state of the art inpainting and outpainting models, enabling editing and expansion of real and generated images given a text description and a binary mask. flux.1 depth: models trained to enable structural guidance based on a depth map extracted from an input image and a text prompt. In this tutorial i will guide you through a workflow for creating an image with a depth perspective effect using ipadapters. this image can later be animated using stable video diffusion to produce a ping pong video with a 3d or volumetric appearance. all of this in a single comfyui workflow. I've made a colab script to use the impressive zoedepth work, but increase the resolution by running it repeatedly on smaller tiles then recombining them. here's an example of what's possible from a photograph:. The visualizations in this example were created with the rerun sdk, demonstrating the integration of depth information in the stable diffusion image generation process.
Stable Diffusion Api By Goapi I've made a colab script to use the impressive zoedepth work, but increase the resolution by running it repeatedly on smaller tiles then recombining them. here's an example of what's possible from a photograph:. The visualizations in this example were created with the rerun sdk, demonstrating the integration of depth information in the stable diffusion image generation process. This model card focuses on the model associated with the stable diffusion v2 model, available here. this stable diffusion 2 depth model is resumed from stable diffusion 2 base (512 base ema.ckpt) and finetuned for 200k steps. The v5 api depth to image endpoint allows for depth to generate a picture. pass the image url with the init image parameter and add your description of the desired modification to the prompt parameter. Controlnet in stable diffusion xl (sdxl) allows for precise image generation by combining multiple control inputs like edge detection, depth maps, and pose estimation. In this guide, we’ll dive into the details of how this model works and how you can use it to create some fantastic visuals. we’ll follow a step by step guide to run the model using node.js. we’ll also see how we can use replicate codex to find similar models and decide which one we like.
How To Use Stable Diffusion Api This model card focuses on the model associated with the stable diffusion v2 model, available here. this stable diffusion 2 depth model is resumed from stable diffusion 2 base (512 base ema.ckpt) and finetuned for 200k steps. The v5 api depth to image endpoint allows for depth to generate a picture. pass the image url with the init image parameter and add your description of the desired modification to the prompt parameter. Controlnet in stable diffusion xl (sdxl) allows for precise image generation by combining multiple control inputs like edge detection, depth maps, and pose estimation. In this guide, we’ll dive into the details of how this model works and how you can use it to create some fantastic visuals. we’ll follow a step by step guide to run the model using node.js. we’ll also see how we can use replicate codex to find similar models and decide which one we like.
Stable Diffusion Api Controlnet in stable diffusion xl (sdxl) allows for precise image generation by combining multiple control inputs like edge detection, depth maps, and pose estimation. In this guide, we’ll dive into the details of how this model works and how you can use it to create some fantastic visuals. we’ll follow a step by step guide to run the model using node.js. we’ll also see how we can use replicate codex to find similar models and decide which one we like.
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