我们可以通过下面的方式通过调用 Stable Diffusion Pipeline 直接生成图片。 先加载一些必要代码 importtorchimportrequestsfromPILimportImagefromioimportBytesIOfrommatplotlibimportpyplotasplt# We'll be exploring a number of pipelines today!fromdiffusersimport(StableDiffusionPipeline,StableDiffusionImg2ImgPipeline,Stable...
A method to fine tune weights for CLIP and Unet, the language model and the actual image de-noiser used by Stable Diffusion, generously donated to the world by our friends at Novel AI in autumn 2022. Works in the same way as Lora except for sharing weights for some layers. Multiplier ca...
pip install --upgrade diffusers transformersscipy#load the model from stable-diffusion model card import torch from diffusers import StableDiffusionPipeline from huggingface_hub import notebook_login 模型加载 模型的权重是是在CreateML OpenRail-M许可下发布的。这是一个开放的许可证,不要求对生成的输出有任何...
# Where images/videos will be savedname='imagine', # Subdirectory of output_dir where images/videos will be savedguidance_scale=8.5, # Higher adherestoprompt more, lower lets model take the wheelnum_inference_steps=50, # Number of diffusion steps per image generated. 50 is gooddefault...
Before diving into the theoretical aspects of how Stable Diffusion functions, let's try it out a bit 🤗. In this section, we show how you can run text to image inference in just a few lines of code! Setup First, please make sure you are using a GPU runtime to run this notebook,...
Dreambooth可以把你任何喜欢的东西放入Stable Diffusion模型。 1.1. 什么是Dreambooth 最初由谷歌在2022年发布,是对SD模型的fine-tune技术。可以把自己喜欢的东西注入到SD模型中。 为什么称为Dreambooth?根据谷歌团队的解释:它就像一个照相馆,在对这个东西拍照后,就可以合成到你梦想中的任何地方。
--strength [STRENGTH]: diffusion strength to apply to the input image (default 0.75) --token [TOKEN]: specify a Huggingface user access token at the command line instead of reading it from a file (default is a file) --vae-slicing: use less memory when creating large batches of images ...
Adding additional memory-saving flags such as --xformers --medvram does not work. Stable Diffusion 2.0 Download your checkpoint file from huggingface. Click the down arrow to download. Put the file into models/Stable-Diffusion 768 (2.0) - (model) 768 (2.1) - (model) 512 (2.0) - (mo...
Kicking the resolution up to 768x768, Stable Diffusion likes to have quite a bit more VRAM in order to run well. Memory bandwidth also becomes more important, at least at the lower end of the spectrum. The relative positioning of the various Nvidia GPUs doesn't shift too much, and AMD'...
“words” in the embedding space of pre-trained text-to-image models. These can be used in new sentences, just like any other word.” [Source] In practice, this gives us the other end of control over the stable diffusion generation process: greater control over the text inputs. When ...