Instructions to use dranzerstar/SD-textual-inversion-embeddings-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dranzerstar/SD-textual-inversion-embeddings-repo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dranzerstar/SD-textual-inversion-embeddings-repo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
i want to know how to download the model
#2
by Govern - opened
i cant down load the model T^T
i cant down load the model T^T
wdym? just click on the embedding/lora you want and then click the download where it says "This file is stored with Git LFS . It is too big to display, but you can still download it."
thanks for your explain!i get it