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-400/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-400/optimizer.bin
- Command line
-
hf download hf://Alexzyx/models_sd_2-1/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Alexzyx/models_sd_2-1/resolve/main/checkpoint-400/optimizer.bin
6.59 MB
- Xet hash:
- d832ebcdfc391389bad152073f48257787bcb3db02347f6d75dee3110d7bc25b
- Size of remote file:
- 6.59 MB
- SHA256:
- 26ba3bf1a94d92a351e529f90e5ada6be6e131a1c214d45d40638dc2dc29121d
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