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-600/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-600/optimizer.bin
- Command line
-
hf download hf://Alexzyx/models_sd_2-1/checkpoint-600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Alexzyx/models_sd_2-1/resolve/main/checkpoint-600/optimizer.bin
6.59 MB
- Xet hash:
- f9999ca02509b25fb8f22c7245ae9f6ebae7a233278461f84604ef40995e8cf7
- Size of remote file:
- 6.59 MB
- SHA256:
- 7b9cdf3c6dc1e22b45339589b341b9b2a2e0b279be939f8e30a99eb9802e820c
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