在stable diffusion 采样阶段,① 首先用文本提示词作为指导条件,利用条件采样对图像进行去噪;② 采样器使用无条件采样对同一图像进行去噪,这里不使用文本指导,但它仍然会扩散到某一个图像,比如说下面的篮球或者红酒杯(它可以是任何随机主体);③ 扩散过程中实际上是计算条件采样和无条件采样的差异,并按照采样步数重复这...
该技术是从文章“How to implement Stable Diffusion(https://www.felixsanz.dev/articles/how-to-implement-stable-diffusion)”和“PixArt-α with less than 8GB VRAM(https://www.felixsanz.dev/articles/pixart-a-with-less-than-8gb-vram)”中获取的学习成果,我才了解到这一技术。通过这些文章,你会找到一...
在stable diffusion 采样阶段,① 首先用文本提示词作为指导条件,利用条件采样对图像进行去噪;② 采样器使用无条件采样对同一图像进行去噪,这里不使用文本指导,但它仍然会扩散到某一个图像,比如说下面的篮球或者红酒杯(它可以是任何随机主体);③ 扩散过程中实际上是计算条件采样和无条件采样的差异,并按照采样步数重复这...
use_safetensors=True, torch_dtype=torch.float16, variant='fp16', ).to('cuda') refiner = AutoPipelineForImage2Image.from_pretrained( 'stabilityai/stable-diffusion-xl-refiner-1.0', use_safetensors=True, torch_dtype=torch.float16, variant='fp16', ).to('cuda') generator...
How to Use Stable Diffusion Effectively. Photo byKam Idris. Some rights reserved. Overview This post is in three parts; they are: Importance of a Model Selecting a Sampler and Scheduler Size and the CFG Scale Importance of a Model If there is one component in the pipeline that has the mos...
在 Stable Diffusion 上，25 步的 DPM-Solver 就可以获得优于 50 步 PNDM 的采样质量，因此采样速度直接翻倍！项目链接：DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps：https://arxiv.org/abs/2206.00927（NeurIPS 2022 Oral）DPM-Solver++: Fast Solver for ...
为了加速扩散模型的采样,许多研究者从硬件优化的角度出发,例如 Google 使用 JAX 语言将模型编译运行在 TPU 上,OneFlow 团队 [1] 使用自研编译器将 Stable Diffusion 做到了“一秒出图”。这些方法都基于 50 步的采样算法 PNDM[2],该算法在步数减少时采样效果会急剧下降。 就在几天前,这一纪录又被刷新了!Stable...
Learn how to use Stable Diffusion, an advanced open-source deep learning model that generates high-quality images from text descriptions. This tutorial covers the basics of how the model works and step-by-step instructions for running Stable Diffusion online and locally. ...
How to Use LoRA Models in Automatic1111 What is LoRA? LoRA stands for Low-Rank Adaptation. It allows you to use low-rank adaptation technology to quickly fine-tune diffusion models. To put it in simple terms, the LoRA training model makes it easier to train Stable Diffusion on different co...
Image count:Choose between 1-4 images to output. The more images you create, the more credits are required. Prompt strength:Controls how strongly SD weighs your prompt. By default, Stable Diffusion uses a value of 15, which can be adjusted from 1-30. ...