When running *Stable Diffusion* in inference, we usually want to generate a certain type, or style of image and then improve upon it. Improving upon a ...

The Stable Diffusion model uses the PNDMScheduler by default which usually requires ~50 inference steps, but more performant schedulers like ...

8 июн. 2023 г. · Stable Diffusion uses latent images encoded from training data as input. Further, given an image zo, the diffusion algorithm progressively add ...

Easy Stable Diffusion. Simple and easy stable diffusion inference with LightningModule on GPU, CPU and MPS (Possibly all devices supported by Lightning).

Stable Diffusion starts with an image that consists of random noise. Then it continously denoises this image over and over again to steer it to the direction of ...

7 мар. 2024 г. · In this post, we show you how the NVIDIA AI Inference Platform can solve these challenges with a focus on Stable Diffusion XL (SDXL).

A latent text-to-image diffusion model. Contribute to CompVis/stable-diffusion development by creating an account on GitHub.

Out of the box, Stable Diffusion XL 1.0 (SDXL) takes 8-10 seconds to create a 1024x1024px image from a prompt on an A100 GPU.

25 июл. 2024 г. · In the stable diffusion scenario, which inference engine is more common? ComfyUI or directly using huggingface's diffusers lib?

3 июл. 2024 г. · Example of inference with a pretrained Stable Diffusion XL (not refiner included). Implementation is kept as simple as possible to make it easy ...