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-200/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-200/optimizer.bin
- Command line
-
hf download hf://Alexzyx/models_sd_2-1/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Alexzyx/models_sd_2-1/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- f6cc7d58e9648f51a596f93b0d9d2f3f3067b02a0c77499058481dbf8e10e136
- Size of remote file:
- 6.59 MB
- SHA256:
- 740995b910bebd9ceeba016d33057077ac7ea4acc656d9929d776d9f672b222b
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