Instructions to use btmccarthy15/SDLORA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/SDLORA2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("btmccarthy15/SDLORA2") 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 btmccarthy15/SDLORA2: direct link, hf CLI and curl.
- Browser
- Download file 13 MB
-
https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-800/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/SDLORA2/checkpoint-800/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-800/optimizer.bin
13 MB
- Xet hash:
- f9d784cea7ce29fdb6433d19fd5b25cdb1195a0385655a60f96d609ef16c5861
- Size of remote file:
- 13 MB
- SHA256:
- 1c8a529a13424ddc06195ab87e096e04378fae64fd8ad37b1fcbc6f8abdb7c8c
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