Instructions to use Westcott/1216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Westcott/1216 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Westcott/1216") prompt = "a biedview of sks helicopter on the ground" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Westcott/1216: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/Westcott/1216/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Westcott/1216/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Westcott/1216/resolve/main/checkpoint-2000/optimizer.bin
47.4 MB
- Xet hash:
- 061164620d7fa9e5fc622281a2282d9e155ccd92616969da8ad2ae8ffb526448
- Size of remote file:
- 47.4 MB
- SHA256:
- 3d641f4a01eee6da4bb7f9679953ba983de19e0a2d68c9860c5461e776d67f30
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