Instructions to use Alexzyx/models_sd_2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alexzyx/models_sd_2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alexzyx/models_sd_2-1") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-800/optimizer.bin from Alexzyx/models_sd_2-1: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Alexzyx/models_sd_2-1/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://Alexzyx/models_sd_2-1/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Alexzyx/models_sd_2-1/resolve/main/checkpoint-800/optimizer.bin
6.59 MB
- Xet hash:
- 759bdf75768892f632326486ba50778fb619e16b07f4baa96d62ed05c06ad7cc
- Size of remote file:
- 6.59 MB
- SHA256:
- f6b83a2233cfc33eb09aedcffae18e77d14d508941e550a3844713b6203c2a94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.